WorldWideScience

Sample records for alice daq online

  1. Physics Requirements for the ALICE DAQ system

    CERN Document Server

    Vande Vyvre, P

    2000-01-01

    Abstract Abstract The goal of this note is to review the requirements for the DAQ system originated from the various physics topics that will be studied by the ALICE experiment. It summarises all the current requirements both for Pb-Pb and p-p interactions. The consequences in terms of throughput at different stages of the DAQ system are presented for different running scenarios.

  2. The ALICE DAQ infoLogger

    Science.gov (United States)

    Chapeland, S.; Carena, F.; Carena, W.; Chibante Barroso, V.; Costa, F.; Dénes, E.; Divià, R.; Fuchs, U.; Grigore, A.; Ionita, C.; Delort, C.; Simonetti, G.; Soós, C.; Telesca, A.; Vande Vyvre, P.; Von Haller, B.; Alice Collaboration

    2014-04-01

    ALICE (A Large Ion Collider Experiment) is a heavy-ion experiment studying the physics of strongly interacting matter and the quark-gluon plasma at the CERN LHC (Large Hadron Collider). The ALICE DAQ (Data Acquisition System) is based on a large farm of commodity hardware consisting of more than 600 devices (Linux PCs, storage, network switches). The DAQ reads the data transferred from the detectors through 500 dedicated optical links at an aggregated and sustained rate of up to 10 Gigabytes per second and stores at up to 2.5 Gigabytes per second. The infoLogger is the log system which collects centrally the messages issued by the thousands of processes running on the DAQ machines. It allows to report errors on the fly, and to keep a trace of runtime execution for later investigation. More than 500000 messages are stored every day in a MySQL database, in a structured table keeping track for each message of 16 indexing fields (e.g. time, host, user, ...). The total amount of logs for 2012 exceeds 75GB of data and 150 million rows. We present in this paper the architecture and implementation of this distributed logging system, consisting of a client programming API, local data collector processes, a central server, and interactive human interfaces. We review the operational experience during the 2012 run, in particular the actions taken to ensure shifters receive manageable and relevant content from the main log stream. Finally, we present the performance of this log system, and future evolutions.

  3. Orthos, an alarm system for the ALICE DAQ operations

    Science.gov (United States)

    Chapeland, Sylvain; Carena, Franco; Carena, Wisla; Chibante Barroso, Vasco; Costa, Filippo; Denes, Ervin; Divia, Roberto; Fuchs, Ulrich; Grigore, Alexandru; Simonetti, Giuseppe; Soos, Csaba; Telesca, Adriana; Vande Vyvre, Pierre; von Haller, Barthelemy

    2012-12-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector studying the physics of strongly interacting matter and the quark-gluon plasma at the CERN LHC (Large Hadron Collider). The DAQ (Data Acquisition System) facilities handle the data flow from the detectors electronics up to the mass storage. The DAQ system is based on a large farm of commodity hardware consisting of more than 600 devices (Linux PCs, storage, network switches), and controls hundreds of distributed hardware and software components interacting together. This paper presents Orthos, the alarm system used to detect, log, report, and follow-up abnormal situations on the DAQ machines at the experimental area. The main objective of this package is to integrate alarm detection and notification mechanisms with a full-featured issues tracker, in order to prioritize, assign, and fix system failures optimally. This tool relies on a database repository with a logic engine, SQL interfaces to inject or query metrics, and dynamic web pages for user interaction. We describe the system architecture, the technologies used for the implementation, and the integration with existing monitoring tools.

  4. Orthos, an alarm system for the ALICE DAQ operations

    International Nuclear Information System (INIS)

    Chapeland, Sylvain; Carena, Franco; Carena, Wisla; Chibante Barroso, Vasco; Costa, Filippo; Divia, Roberto; Fuchs, Ulrich; Grigore, Alexandru; Simonetti, Giuseppe; Soos, Csaba; Telesca, Adriana; Vande Vyvre, Pierre; Von Haller, Barthelemy; Denes, Ervin

    2012-01-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector studying the physics of strongly interacting matter and the quark-gluon plasma at the CERN LHC (Large Hadron Collider). The DAQ (Data Acquisition System) facilities handle the data flow from the detectors electronics up to the mass storage. The DAQ system is based on a large farm of commodity hardware consisting of more than 600 devices (Linux PCs, storage, network switches), and controls hundreds of distributed hardware and software components interacting together. This paper presents Orthos, the alarm system used to detect, log, report, and follow-up abnormal situations on the DAQ machines at the experimental area. The main objective of this package is to integrate alarm detection and notification mechanisms with a full-featured issues tracker, in order to prioritize, assign, and fix system failures optimally. This tool relies on a database repository with a logic engine, SQL interfaces to inject or query metrics, and dynamic web pages for user interaction. We describe the system architecture, the technologies used for the implementation, and the integration with existing monitoring tools.

  5. DAQ

    CERN Multimedia

    F. Meijers

    2010-01-01

     The DAQ system (see Figure 2) consists of: - the full detector read-out of a total of 633 FEDs (Front-End Drivers) – the FRL (Front-end Readout - Link) provides the common interface between the sub-detector specific FEDs and the central DAQ; - 8 DAQ slices with a 100 GB/s event building capacity – corresponding to a nominal 2 kB per FRL at a Level-1 (L1) trigger rate of 100 kHz; - an event filter to run the HLT (High Level Trigger) comprising 720 PCs with two quad-core 2.6 GHz CPUs; - a 16-node storage manager system allowing a writing rate that exceeds 1 GB/s, with concurrent transfers to Tier 0 at the same rate, and a total storage capacity of 250 TB. It also forwards events to the online DQM (Data Quality Monitoring). Figure 2: The CMS DAQ system The DAQ system for the 2010 physics runs The DAQ system has been deployed for pp and heavy-ion physics data-taking. It can be easily ...

  6. DAQ

    CERN Multimedia

    F. Meijers.

    The DAQ system consists of the full detector readout, 8 DAQ slices with a 1 Tbit/s event building capacity, an event filter to run the HLT comprising 720 8-core PCs, and a 16-node storage manager system allowing a writing rate up to 2 GByte/s and a total capacity of 250 TBytes. Operation: The DAQ system has been successfully deployed to capture the first LHC collisions. Here trigger rates were typically in the range 1 – 11 kHz. The DAQ system serviced global cosmics and commissioning data taking. Here typically data were taken with ~1 kHz cosmic trigger rate and raw event size of ~500 kByte. Often an additional ~100 kHz of random triggers were mixed, which were pre-scaled for storage, to stress test the overall system. Operational procedures for DAQ shifters and on-call experts have been consolidated. Throughout 2009, the online cluster, the production online Oracle database, and the central Detector Control System (DCS) have been operational 24/7. A development and integration database has been ...

  7. DAQ

    CERN Multimedia

    F. Meijers

    2011-01-01

    The DAQ system (see Figure 2) consists of: – the full detector read-out of a total of 633 FEDs (front-end drivers). The FRL (front-end readout link) provides the common interface between the sub-detector specific FEDs and the central DAQ; – 8 DAQ slices with a 100 GB/s event building capacity – corresponding to a nominal 2 kB per FRL at a Level-1 trigger rate of 100 kHz; – an event filter to run the HLT (High Level Trigger) composing 720 PCs with two quad-core 2.6 GHz CPUs; – a 16-node storage manager system allowing a writing rate that exceeds 1 GB/s, with concurrent transfers to Tier 0 at the same rate, and a total storage capacity of 250 TB. It also forwards events to the online DQM (Data Quality Monitoring). Figure 2: The CMS DAQ system. The two-stage event builder assembles event fragments from typically eight front-ends located underground (USC) into one super-...

  8. DAQ

    CERN Multimedia

    F. Meijers

    2010-01-01

    The DAQ system consists of the full detector readout, 8 DAQ slices with a 1 Tbit/s event building capacity, an event filter to run the HLT comprising 720 8-core PCs, and a 16-node storage manager system allowing a writing rate up to 2 GByte/s and a total capacity of 250 TBytes. Operation Returning after the Christmas stop, the DAQ system serviced global cosmics and commissioning data taking. Typically data were taken with ~1 kHz cosmic trigger rate and raw event size of ~500 kByte. Often an additional ~100 kHz of random triggers were mixed, which were pre-scaled for storage, to stress test the overall system. The online cluster, the production online Oracle database, and the central Detector Control System (DCS) have been operational 24/7. Infrastructure Immediately after the Christmas break, the on-line data center has been into maximum heat production mode to stress the cooling infrastructure.  The maximum heat load produced in the room was about 570 kW. It appeared that the current settings ...

  9. DAQ

    CERN Document Server

    A. Racz

    The CMS DAQ installation status The year 2005 was dedicated to the production/test of the custom made electronic boards and the procurement of the commercial items needed to operate the underground part of the Data Acquisition System of CMS. The first half of 2006 was spent to install the DAQ infrastructures in USC55 (dedicated cable trays in the false floor) and to prepare the racks to receive the hardware elements. The second half of 2006 was dedicated to the installation of the CMS DAQ elements in the underground control. As a quick reminder, the underground part of the Data Acquisition System performs two tasks: a) Front End data collection and transmission to the online computing farm on the surface (SCX). b) Front End status collection and elaboration of a smart back pressure signal preventing the overflow of the Front End electronic. The hardware elements installed to perform these two tasks are the following:     500 FRL cards receiving the data of one or two sender...

  10. A prototype DAQ system for the ALICE experiment based on SCI

    International Nuclear Information System (INIS)

    Skaali, B.; Ingebrigtsen, L.; Wormald, D.; Polovnikov, S.; Roehrig, H.

    1998-01-01

    A prototype DAQ system for the ALICE/PHOS beam test an commissioning program is presented. The system has been taking data since August 1997, and represents one of the first applications of the Scalable Coherent Interface (SCI) as interconnect technology for an operational DAQ system. The front-end VMEbus address space is mapped directly from the DAQ computer memory space through SCI via PCI-SCI bridges. The DAQ computer is a commodity PC running the Linux operating system. The results of measurements of data transfer rate and latency for the PCI-SCI bridges in a PC-VMEbus SCI-configuration are presented. An optical SCI link based on the Motorola Optobus I data link is described

  11. The team from ALICE DAQ (Data acquisition) involved in the 7th ALICE data challenge. First row: Sylvain Chapeland, Ulrich Fuchs, Pierre Vande Vyvre, Franco Carena Second row: Wisla Carena, Irina MAKHLYUEVA , Roberto Divia

    CERN Multimedia

    Claudia Marcelloni

    2007-01-01

    The team from ALICE DAQ (Data acquisition) involved in the 7th ALICE data challenge. First row: Sylvain Chapeland, Ulrich Fuchs, Pierre Vande Vyvre, Franco Carena Second row: Wisla Carena, Irina MAKHLYUEVA , Roberto Divia

  12. DAQ

    CERN Multimedia

    J.A. Coarasa Perez

    Event Builder One of the key design features of CMS is the large Central Data Acquisition System capable of bringing over 100 GB of data to the surface and building 100,000 events every second. This very large DAQ system is ex¬pected to give CMS a competitive advantage since we can have a very flexible High Level Trigger entirely run¬ning on standard computer processors. The first stage of what will be the largest DAQ system in the world is now being commissioned at Point 5. While the detector has been read out until now by a small system called the mini-DAQ, the large central DAQ Event Builder has been put together and debugged over the last 4 months. During the month of September, the full system from FED (front end connection to the detector readout) to Filter Unit is being commissioned and we hope to use the central DAQ Event Builder for the Global Run at the end of September. The first batch of 400 computers arrived around in mid-April. These computers became Readout Units (RUs), wit...

  13. Commissioning and initial experience with the ALICE on-line

    International Nuclear Information System (INIS)

    Altini, V; Anticic, T; Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Roukoutakis, F; Schossmaier, K; Soos, C; Vyvre, P Vande; Haller, B von; Denes, E; Kiss, T

    2010-01-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). A large bandwidth and flexible Data Acquisition System (DAQ) has been designed and deployed to collect sufficient statistics in the short running time available per year for heavy ions and to accommodate very different requirements originated from the 18 sub-detectors. This paper will present the large scale tests conducted to assess the standalone DAQ performances, the interfaces with the other online systems and the extensive commissioning performed in order to be fully prepared for physics data taking. It will review the experience accumulated since May 2007 during the standalone commissioning of the main detectors and the global cosmic runs and the lessons learned from this exposure on the b attle field . It will also discuss the test protocol followed to integrate and validate each sub-detector with the online systems and it will conclude with the first results of the LHC injection tests and startup in September 2008. Several papers of the same conference present in more details some elements of the ALICE DAQ system.

  14. Commissioning and initial experience with the ALICE on-line

    Energy Technology Data Exchange (ETDEWEB)

    Altini, V [INFN, Dipartimento di Fisica dell' Universita and Sezione INFN Bari (Italy); Anticic, T [Ruder Botkovic Institute, Zagreb (Croatia); Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Roukoutakis, F; Schossmaier, K; Soos, C; Vyvre, P Vande; Haller, B von [CERN, Physics department, Geneva (Switzerland); Denes, E; Kiss, T, E-mail: pierre.vande.vyvre@cern.c [KFKI Research Institute for Particle and Nuclear Physics, Budapest (Hungary)

    2010-04-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). A large bandwidth and flexible Data Acquisition System (DAQ) has been designed and deployed to collect sufficient statistics in the short running time available per year for heavy ions and to accommodate very different requirements originated from the 18 sub-detectors. This paper will present the large scale tests conducted to assess the standalone DAQ performances, the interfaces with the other online systems and the extensive commissioning performed in order to be fully prepared for physics data taking. It will review the experience accumulated since May 2007 during the standalone commissioning of the main detectors and the global cosmic runs and the lessons learned from this exposure on the {sup b}attle field{sup .} It will also discuss the test protocol followed to integrate and validate each sub-detector with the online systems and it will conclude with the first results of the LHC injection tests and startup in September 2008. Several papers of the same conference present in more details some elements of the ALICE DAQ system.

  15. Commissioning and initial experience with the ALICE on-line

    Science.gov (United States)

    Altini, V.; Anticic, T.; Carena, F.; Carena, W.; Chapeland, S.; Chibante Barroso, V.; Costa, F.; Dénes, E.; Divià, R.; Fuchs, U.; Kiss, T.; Makhlyueva, I.; Roukoutakis, F.; Schossmaier, K.; Soós, C.; Vande Vyvre, P.; von Haller, B.; ALICE Collaboration

    2010-04-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). A large bandwidth and flexible Data Acquisition System (DAQ) has been designed and deployed to collect sufficient statistics in the short running time available per year for heavy ions and to accommodate very different requirements originated from the 18 sub-detectors. This paper will present the large scale tests conducted to assess the standalone DAQ performances, the interfaces with the other online systems and the extensive commissioning performed in order to be fully prepared for physics data taking. It will review the experience accumulated since May 2007 during the standalone commissioning of the main detectors and the global cosmic runs and the lessons learned from this exposure on the "battle field". It will also discuss the test protocol followed to integrate and validate each sub-detector with the online systems and it will conclude with the first results of the LHC injection tests and startup in September 2008. Several papers of the same conference present in more details some elements of the ALICE DAQ system.

  16. DAQ

    CERN Multimedia

    F. Meijers

    2011-01-01

    Operation for the 2011 physics run For the 2011 run, the HLT farm has been extended with additional PCs comprising 288 system boards with two 6-core CPUs each. This brought the total HLT capacity from 5760 cores to 9216 cores and 18 TB of memory. It provides a capacity for HLT of about 100 ms/event (on a 2.7 GHz E5430 core) at 100 kHz L1 rate in pp collisions. All central DAQ nodes have been migrated to SLC5/64-bit kernel and 64-bit applications. The DAQ system has been deployed for pp physics data-taking in 2011 and performed with high efficiency (downtime for central DAQ was less than 1%). For pp physics data-taking, the DAQ was operating with a L1 trigger rate up to ~100 kHz and, typically, a raw event size of ~500 kB, and ~400 Hz recording of stream-A (which includes all physics triggers) with a size of ~250 kB after compression. The event size increases linearly with the pile-up, as expected. The CPU load on the HLT reached close to 100%, depending on L1 and HLT menus. By changing the L1 and HLT pre-...

  17. DAQ

    CERN Multimedia

    F. Meijers and C. Schwick

    2010-01-01

    The DAQ system has been deployed for physics data taking as well as supporting global test and commissioning activities. In addition to 24/7 operations, activities addressing performance and functional improvements are ongoing. The DAQ system consists of the full detector readout, 8 DAQ slices with a 1 Tbit/s event building capacity, an event filter to run the HLT comprising 720 8-core PCs, and a 16-node storage manager system allowing up to 2 GByte/s writing rate and a total capacity of 250 TBytes. Operation The LHC delivered the highest luminosity in fills with 6-8 colliding bunches and reached peak luminosities of 1-2 1029/cm2/s. The DAQ was typically operating in those conditions with a ~15 kHz trigger rate, a raw event size of ~500 kByte, and a ~150 Hz recording of stream-A with a size of ~50 kB. The CPU load on the HLT was ~10%. Tests for Heavy-Ion operation Tests have been carried out to examine the situation for data-taking in the future Heavy Ion (HI) run. The high occupancy expected in HI run...

  18. DAQ

    CERN Multimedia

    E. Meschi

    2013-01-01

    The File-based Filter Farm in the CMS DAQ MarkII The CMS DAQ system will be upgraded after LS1 in order to replace obsolete network equipment, use more homogeneous switching technologies, prepare the ground for future upgrade of the detector front-ends. The experiment parameters for the post-LS1 data taking remain similar to the ones of Run 1: a Level-1 aggregate rate of 100 kHz and an aggregate HLT output bandwidth of up to 2 GB/s. A moderate event-size increase is anticipated from increased pile-up and changes in the detector readout. For the output bandwidth, the figure of 2 GB/s is assumed. The original Filter Farm design has been successfully operated in 2010–2013 and its efficiency and fault tolerance brought to an excellent level. There are, however, a number of disadvantages in that design at the interface between the DAQ data flow and the High-Level Trigger that warrant a careful scrutiny in view of the deployment of DAQ2, after the LS1: The reduction of the number of RU bui...

  19. DAQ

    CERN Multimedia

    J. Hegeman

    2013-01-01

    The DAQ2 system for post-LS1 is a re-implementation of the central DAQ event data flow with the capability to read-out the majority of legacy back-end sub-detector electronics FEDs, as well as the new MicroTCA-based back-end electronics (see for example the previous (December 2012) issue of the CMS bulletin). A further upgrade in the DAQ and Trigger is the development of the new TCDS, outlined in the forthcoming Level-1 Trigger Upgrade TDR. The new TCDS (Trigger Control and Distribution System) Currently, CMS trigger control comprises three more-or-less separate systems. The Trigger Timing and Control (TTC) system distributes the L1A signals and synchronisation commands to all front-ends. The Trigger Throttling System (TTS) collects front-end readiness information and propagates those up to the central Trigger Control System (TCS). The TCS allows or vetoes Level-1 triggers from the Global Trigger (GT) based on the TTS state and on the trigger rules. These three systems will be combined in the new control ...

  20. DAQ

    CERN Multimedia

    F. Meijers

    2012-01-01

    The DAQ operated efficiently for the remainder of the pp 2012 run, where LHC reached a peak luminosity of 7.5E33 (at 50 ns bunch spacing). At the start of a fill, typical conditions are: an L1 trigger rate close to 90 kHz, a raw event size of ~700 kB, and ~1.5 kHz recording of stream-A with a size of ~500 kB after compression. The stream-A High Level Trigger (HLT) output includes the physics triggers and consists of the ‘core’ triggers and the ‘parked’ triggers, at about equal rate. Downtime due to central DAQ was below 1%. During the year, various improvements and enhancements have been implemented. An example is the introduction of the ‘action-matrix’ in run control. This matrix defines a small set of run modes linking a consistent set of configurations of sub-detector read-out configurations, and L1 and HLT settings as a function of LHC modes. This mechanism facilitates operation as it automatically proposes the run mode depending on the actual...

  1. DAQ

    CERN Multimedia

    Frans Meijers

    2012-01-01

    Operations for the 2012 physics run For the 2012 run, the DAQ system operates typically at the start of a fill with a L1 Trigger rate close to 90 kHz, a raw event size of ~700 kB, and ~1 kHz recording of stream-A with a size of ~450 kB after compression. The stream-A includes the physics triggers and consists since 2012 of the “core” triggers and the “parked” triggers, at about equal rate. In order to be able to handle the higher instantaneous luminosities in 2012 (so far, up to 6.5E33 at 50 ns bunch spacing) with a pile-up of ~35 events, an extension of the HLT was installed, commissioned and is in operation since the start of data taking. Extension of the HLT farm The CMS event builder and High-Level Trigger (HLT) farm are built using standard commercial PCs and networking equipment and are therefore easily extendable with state-of-the-art hardware. The HLT farm has been extended twice so far, in May 2011 and recently in May 2012. Table 1 shows the parameters and...

  2. DAQ

    CERN Multimedia

    P. Schieferdecker

    ConfDB: CMS HLT Configuration Database The CMS High Level Trigger (HLT) is based on the CMSSW reconstruction framework and is therefore configured in much the same way as any offline or analysis job: by passing a document to the internal event processing machinery which is valid according to the CMSSW configuration grammar. For offline reconstruction or analysis, this document can be formatted as a text file or a Python script, which CMSSW can both interpret as to which specific software modules to load, which value to assign to each of their parameters, and in which succession to apply them to a given event. The configuration of the HLT is very complex: saving the most recent version of it into a single text file results in more than 8000 lines of instructions, amounting to more than 350kB in size. As for any other subsystem of the CMS data acquisition system (DAQ), the record of the state of the HLT during data-taking must be meticulously kept and archived. It is crucial that several versions of a part...

  3. The D0 online monitoring and automatic DAQ recovery

    International Nuclear Information System (INIS)

    Haas, A.

    2004-01-01

    The DZERO experiment, located at the Fermi National Accelerator Laboratory, has recently started the Run 2 physics program. The detector upgrade included a new Data Acquisition/Level 3 Trigger system. Part of the design for the DAQ/Trigger system was a new monitoring infrastructure. The monitoring was designed to satisfy real-time requirements with 1-second resolution as well as nonreal-time data. It was also designed to handle a large number of displays without putting undue load on the sources of monitoring information. The resulting protocol is based on XML, is easily extensible, and has spawned a large number of displays, clients, and other applications. It is also one of the few sources of detector performance available outside the Online System's security wall. A tool, based on this system, which provides for auto-recovery of DAQ errors, has been designed. This talk will include a description of the DZERO DAQ/Online monitor server, based on the ACE framework, the protocol, the auto-recovery tool, and several of the unique displays which include an ORACLE-based archiver and numerous GUIs

  4. Distributed inter process communication framework of BES III DAQ online software

    International Nuclear Information System (INIS)

    Li Fei; Liu Yingjie; Ren Zhenyu; Wang Liang; Chinese Academy of Sciences, Beijing; Chen Mali; Zhu Kejun; Zhao Jingwei

    2006-01-01

    DAQ (Data Acquisition) system is one important part of BES III, which is the large scale high-energy physics detector on the BEPC. The inter process communication (IPC) of online software in distributed environments is very pivotal for design and implement of DAQ system. This article will introduce one distributed inter process communication framework, which is based on CORBA and used in BES III DAQ online software. The article mainly presents the design and implementation of the IPC framework and application based on IPC. (authors)

  5. The ALICE online-offline framework for the extraction of conditions data

    Energy Technology Data Exchange (ETDEWEB)

    Grosse-Oetringhaus, Jan Fiete; Zampolli, Chiara; Carminati, Federico [CERN, 1211 Geneva 23 (Switzerland); Colla, Alberto, E-mail: Jan.Fiete.Grosse-Oetringhaus@cern.c, E-mail: Chiara.Zampolli@cern.c, E-mail: Alberto.Colla@roma1.infn.i, E-mail: Federico.Carminati@cern.c [Universita ' La Sapienza' and INFN, Roma (Italy)

    2010-04-01

    A Large Ion Collider Experiment (ALICE) is the dedicated heavy-ion experiment at the CERN LHC and will take data with a bandwidth of up to 1.25 GB/s. It consists of 18 subdetectors that interact with five online systems (CTP, DAQ, DCS, ECS, and HLT). Data recorded is read out by DAQ in a raw data stream produced by the subdetectors. In addition the subdetectors produce conditions data derived from the raw data, i.e. calibration and alignment information, which have to be available from the beginning of the reconstruction and therefore cannot be included in the raw data. The extraction of the conditions data is steered by a system called Shuttle. It provides the link between data produced by the subdetectors in the online systems and a dedicated procedure per subdetector, called preprocessor, that runs in the Shuttle system. The preprocessor performs merging, consolidation, and reformatting of the data. Finally, it stores the data in the Grid Offline Conditions DataBase (OCDB) so that they are available for the Offline reconstruction. The reconstruction of a given run is initiated automatically once the raw data is successfully exported to the Grid storage and the run has been processed in the Shuttle framework. These proceedings introduce the Shuttle system. The performance of the system during the ALICE cosmics commissioning and LHC startup is described.

  6. The ALICE online-offline framework for the extraction of conditions data

    International Nuclear Information System (INIS)

    Grosse-Oetringhaus, Jan Fiete; Zampolli, Chiara; Carminati, Federico; Colla, Alberto

    2010-01-01

    A Large Ion Collider Experiment (ALICE) is the dedicated heavy-ion experiment at the CERN LHC and will take data with a bandwidth of up to 1.25 GB/s. It consists of 18 subdetectors that interact with five online systems (CTP, DAQ, DCS, ECS, and HLT). Data recorded is read out by DAQ in a raw data stream produced by the subdetectors. In addition the subdetectors produce conditions data derived from the raw data, i.e. calibration and alignment information, which have to be available from the beginning of the reconstruction and therefore cannot be included in the raw data. The extraction of the conditions data is steered by a system called Shuttle. It provides the link between data produced by the subdetectors in the online systems and a dedicated procedure per subdetector, called preprocessor, that runs in the Shuttle system. The preprocessor performs merging, consolidation, and reformatting of the data. Finally, it stores the data in the Grid Offline Conditions DataBase (OCDB) so that they are available for the Offline reconstruction. The reconstruction of a given run is initiated automatically once the raw data is successfully exported to the Grid storage and the run has been processed in the Shuttle framework. These proceedings introduce the Shuttle system. The performance of the system during the ALICE cosmics commissioning and LHC startup is described.

  7. LHCb Silicon Tracker DAQ and DCS Online Systems

    CERN Multimedia

    Buechler, A; Rodriguez, P

    2009-01-01

    The LHCb experiment at the Large Hadron Collider (LHC) at CERN in Geneva Switzerland is specialized on precision measurements of b quark decays. The Silicon Tracker (ST) contributes a crucial part in tracking the particle trajectories and consists of two silicon micro-strip detectors, the Tracker Turicensis upstream of the LHCb magnet and the Inner Tracker downstream. The radiation and the magnetic field represent new challenges for the implementation of a Detector Control System (DCS) and the data acquisition (DAQ). The DAQ has to deal with more than 270K analog readout channels, 2K readout chips and real time DAQ at a rate of 1.1 MHz with data processing at TELL1 level. The TELL1 real time algorithms for clustering thresholds and other computations run on dedicated FPGAs that implement 13K configurable parameters per board, in total 1.17 K parameters for the ST. After data processing the total throughput amounts to about 6.4 Gbytes from an input data rate of around ~337 Gbytes per second. A finite state ma...

  8. PCI Based Read-out Receiver Card in the ALICE DAQ System

    CERN Document Server

    Carena, W; Dénes, E; Divià, R; Schossmaier, K; Soós, C; Sulyán, J; Vascotto, Alessandro; Van de Vyvre, P

    2001-01-01

    The Detector Data Link (DDL) is the high-speed optical link for the ALICE experiment. This link shall transfer the data coming from the detectors at 100 MB/s rate. The main components of the link have been developed: the destination Interface Unit (DIU), the Source Interface Unit (SIU) and the Read-out Receiver Card (RORC). The first RORC version is based on the VME bus. The performance tests show that the maximum VME bandwidth could be reached. Meanwhile the PCI bus became very popular and is used in many platforms. The development of a PCI-based version has been started. The document describes the prototype version in three sections. An overview explains the main purpose of the card: to provide an interface between the DDL and the PCI bus. Acting as a 32bit/33MHz PCI master the card is able to write or read directly to or from the system memory from or to the DDL, respectively. Beside these functions the card can also be used as an autonomous data generator. The card has been designed to be well adapted to ...

  9. ALICE High Level Trigger

    CERN Multimedia

    Alt, T

    2013-01-01

    The ALICE High Level Trigger (HLT) is a computing farm designed and build for the real-time, online processing of the raw data produced by the ALICE detectors. Events are fully reconstructed from the raw data, analyzed and compressed. The analysis summary together with the compressed data and a trigger decision is sent to the DAQ. In addition the reconstruction of the events allows for on-line monitoring of physical observables and this information is provided to the Data Quality Monitor (DQM). The HLT can process event rates of up to 2 kHz for proton-proton and 200 Hz for Pb-Pb central collisions.

  10. The fifth annual ALICE Industrial Awards ceremony on 9 March, 2007.

    CERN Multimedia

    2007-01-01

    The ALICE collaboration presents Quantum Corp with an award for the high performance cluster file system (StorNext) for the ALICE DAQ system, and for their outstanding cooperation in implementing the software.From left to right: Jurgen Schukraft (ALICE Spokesperson), Pierre vande Vyvre (ALICE DAQ), Hans Boggild (ALICE), Ewan Johnston (Quantum Corp.), Derek Barrilleaux (Quantum Corp.), Lance Hukill (Quantum Corp.), Ulrich Fuchs (ALICE DAQ), Catherine Decosse (ALICE) and Roberto Divia (ALICE DAQ).

  11. ALICE common read-out receiver card status and HLT implementation

    Energy Technology Data Exchange (ETDEWEB)

    Engel, Heiko; Kebschull, Udo [IRI, Goethe-Universitaet Frankfurt am Main (Germany); Collaboration: ALICE-Collaboration

    2015-07-01

    The ALICE Common Read-Out Receiver Card (C-RORC) is an FPGA based PCIe read out board with optical interfaces primarily developed to replace the previous ALICE High-Level Trigger (HLT) and Data Acquisition (DAQ) Read-Out Receiver Cards from Run1 with a state of the art hardware platform to cope with the increased link rates and event data volume of Run2. The large scale production of the C-RORCs for Run2 has been completed in cooperation with ATLAS and the boards are installed in the productive clusters of ALICE HLT, ALICE DAQ and ATLAS TDAQ ROS. This contribution describes the hardware and firmware of the C-RORC in the ALICE HLT application and its online processing capabilities. Additionally, a high level dataflow description approach to implement hardware processing steps more efficiently is presented.

  12. The ALICE Electronic Logbook

    Energy Technology Data Exchange (ETDEWEB)

    Altini, V [INFN, Dipartimento di Fisica dell' Universita and Sezione INFN Bary (Italy); Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Roukoutakis, F; Schossmaier, K; Soos, C; Vyvre, P Vande; Haller, B Von, E-mail: Vasco.Chibante.Barroso@cern.c [CERN, Physics Department, Geneva (Switzerland)

    2010-04-01

    All major experiments need tools that provide a way to keep a record of the events and activities, both during commissioning and operations. In ALICE (A Large Ion Collider Experiment) at CERN, this task is performed by the Alice Electronic Logbook (eLogbook), a custom-made application developed and maintained by the Data-Acquisition group (DAQ). Started as a statistics repository, the eLogbook has evolved to become not only a fully functional electronic logbook, but also a massive information repository used to store the conditions and statistics of the several online systems. It's currently used by more than 600 users in 30 different countries and it plays an important role in the daily ALICE collaboration activities. This paper will describe the LAMP (Linux, Apache, MySQL and PHP) based architecture of the eLogbook, the database schema and the relevance of the information stored in the eLogbook to the different ALICE actors, not only for near real time procedures but also for long term data-mining and analysis. It will also present the web interface, including the different used technologies, the implemented security measures and the current main features. Finally it will present the roadmap for the future, including a migration to the web 2.0 paradigm, the handling of the database ever-increasing data volume and the deployment of data-mining tools.

  13. The ALICE Electronic Logbook

    International Nuclear Information System (INIS)

    Altini, V; Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Roukoutakis, F; Schossmaier, K; Soos, C; Vyvre, P Vande; Haller, B Von

    2010-01-01

    All major experiments need tools that provide a way to keep a record of the events and activities, both during commissioning and operations. In ALICE (A Large Ion Collider Experiment) at CERN, this task is performed by the Alice Electronic Logbook (eLogbook), a custom-made application developed and maintained by the Data-Acquisition group (DAQ). Started as a statistics repository, the eLogbook has evolved to become not only a fully functional electronic logbook, but also a massive information repository used to store the conditions and statistics of the several online systems. It's currently used by more than 600 users in 30 different countries and it plays an important role in the daily ALICE collaboration activities. This paper will describe the LAMP (Linux, Apache, MySQL and PHP) based architecture of the eLogbook, the database schema and the relevance of the information stored in the eLogbook to the different ALICE actors, not only for near real time procedures but also for long term data-mining and analysis. It will also present the web interface, including the different used technologies, the implemented security measures and the current main features. Finally it will present the roadmap for the future, including a migration to the web 2.0 paradigm, the handling of the database ever-increasing data volume and the deployment of data-mining tools.

  14. The ALICE data quality monitoring

    International Nuclear Information System (INIS)

    Haller, B von; Roukoutakis, F; Chapeland, S; Carena, F; Carena, W; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Schossmaier, K; Soos, C; Vyvre, P Vande; Altini, V

    2010-01-01

    ALICE is one of the four experiments installed at the CERN Large Hadron Collider (LHC), especially designed for the study of heavy-ion collisions. The online Data Quality Monitoring (DQM) is an important part of the data acquisition (DAQ) software. It involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper presents the final design, as well as the latest and coming features, of the ALICE's specific DQM software called AMORE (Automatic MonitoRing Environment). It describes the challenges we faced during its implementation, including the performances issues, and how we tested and handled them, in particular by using a scalable and robust publish-subscribe architecture.We also review the on-going and increasing adoption of this tool amongst the ALICE collaboration and the measures taken to develop, in synergy with their respective teams, efficient monitoring modules for the sub-detectors. The related packaging and release procedure needed by such a distributed framework is also described. We finally overview the wide range of usages people make of this framework, and we review our own experience, before and during the LHC start-up, when monitoring the data quality on both the sub-detectors and the DAQ side in a real-world and challenging environment.

  15. Commissioning of the ALICE-LHC online data quality monitoring framework

    International Nuclear Information System (INIS)

    Roukoutakis, Filimon; Haller, Barthelemy von

    2009-01-01

    ALICE is one of the experiments installed at CERN Large Hadron Collider, dedicated to the study of heavy-ion collisions. The final ALICE data acquisition system has been installed and is being used for the testing and commissioning of detectors. Data Quality Monitoring (DQM) is an important aspect of the online procedures for a HEP experiment. In this presentation we overview the commissioning and the integration of ALICE's AMORE (Automatic MOnitoRing Environment), a custom-written distributed application aimed at providing DQM services in a large, experiment-wide scale.

  16. Online calibration of the ALICE-TPC in LHC-Run 2

    Energy Technology Data Exchange (ETDEWEB)

    Vorobyev, Ivan [Technische Universitaet Muenchen, Excellence Cluster Universe (Germany); Collaboration: ALICE-Collaboration

    2015-07-01

    The Time Projection Chamber (TPC) is the main tracking detector at the ALICE Experiment at the LHC. Its performance and calibration directly influence the calibration of other detectors in the ALICE central barrel. To address this issue during the first LHC running period, a two-step offline calibration was employed, in which first the TPC and then the other detectors were calibrated. However, such a scheme will not be feasible for the Run 3 period, because the TPC will run in a continuous readout mode, producing a vast amount of data that needs to be significantly compressed on the fly for data storage. This will require the calibration step to run online within the High Level Trigger environment. In this talk, the online calibration concept and the implementation for the ALICE-TPC already in Run 2 are discussed.

  17. On-line reconstruction algorithms for the CBM and ALICE experiments

    International Nuclear Information System (INIS)

    Gorbunov, Sergey

    2013-01-01

    This thesis presents various algorithms which have been developed for on-line event reconstruction in the CBM experiment at GSI, Darmstadt and the ALICE experiment at CERN, Geneve. Despite the fact that the experiments are different - CBM is a fixed target experiment with forward geometry, while ALICE has a typical collider geometry - they share common aspects when reconstruction is concerned. The thesis describes: - general modifications to the Kalman filter method, which allows one to accelerate, to improve, and to simplify existing fit algorithms; - developed algorithms for track fit in CBM and ALICE experiment, including a new method for track extrapolation in non-homogeneous magnetic field. - developed algorithms for primary and secondary vertex fit in the both experiments. In particular, a new method of reconstruction of decayed particles is presented. - developed parallel algorithm for the on-line tracking in the CBM experiment. - developed parallel algorithm for the on-line tracking in High Level Trigger of the ALICE experiment. - the realisation of the track finders on modern hardware, such as SIMD CPU registers and GPU accelerators. All the presented methods have been developed by or with the direct participation of the author.

  18. Fast TPC Online Tracking on GPUs and Asynchronous Data Processing in the ALICE HLT to facilitate Online Calibration

    International Nuclear Information System (INIS)

    Rohr, David; Gorbunov, Sergey; Krzewicki, Mikolaj; Breitner, Timo; Kretz, Matthias; Lindenstruth, Volker

    2015-01-01

    ALICE (A Large Heavy Ion Experiment) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN, which is today the most powerful particle accelerator worldwide. The High Level Trigger (HLT) is an online compute farm of about 200 nodes, which reconstructs events measured by the ALICE detector in real-time. The HLT uses a custom online data-transport framework to distribute data and workload among the compute nodes.ALICE employs several calibration-sensitive subdetectors, e.g. the TPC (Time Projection Chamber). For a precise reconstruction, the HLT has to perform the calibration online. Online- calibration can make certain Offline calibration steps obsolete and can thus speed up Offline analysis. Looking forward to ALICE Run III starting in 2020, online calibration becomes a necessity.The main detector used for track reconstruction is the TPC. Reconstructing the trajectories in the TPC is the most compute-intense step during event reconstruction. Therefore, a fast tracking implementation is of great importance. Reconstructed TPC tracks build the basis for the calibration making a fast online-tracking mandatory.We present several components developed for the ALICE High Level Trigger to perform fast event reconstruction and to provide features required for online calibration.As first topic, we present our TPC tracker, which employs GPUs to speed up the processing, and which bases on a Cellular Automaton and on the Kalman filter. Our TPC tracking algorithm has been successfully used in 2011 and 2012 in the lead-lead and the proton-lead runs. We have improved it to leverage features of newer GPUs and we have ported it to support OpenCL, CUDA, and CPUs with a single common source code. This makes us vendor independent.As second topic, we present framework extensions required for online calibration. The extensions, however, are generic and can be used for other purposes as well. We have extended the framework to support asynchronous compute chains

  19. Online Reconstruction and Calibration with Feedback Loop in the ALICE High Level Trigger

    Directory of Open Access Journals (Sweden)

    Rohr David

    2016-01-01

    at the Large Hadron Collider (LHC at CERN. The High Level Trigger (HLT is an online computing farm, which reconstructs events recorded by the ALICE detector in real-time. The most computing-intensive task is the reconstruction of the particle trajectories. The main tracking devices in ALICE are the Time Projection Chamber (TPC and the Inner Tracking System (ITS. The HLT uses a fast GPU-accelerated algorithm for the TPC tracking based on the Cellular Automaton principle and the Kalman filter. ALICE employs gaseous subdetectors which are sensitive to environmental conditions such as ambient pressure and temperature and the TPC is one of these. A precise reconstruction of particle trajectories requires the calibration of these detectors. As our first topic, we present some recent optimizations to our GPU-based TPC tracking using the new GPU models we employ for the ongoing and upcoming data taking period at LHC. We also show our new approach to fast ITS standalone tracking. As our second topic, we present improvements to the HLT for facilitating online reconstruction including a new flat data model and a new data flow chain. The calibration output is fed back to the reconstruction components of the HLT via a feedback loop. We conclude with an analysis of a first online calibration test under real conditions during the Pb-Pb run in November 2015, which was based on these new features.

  20. Online Calibration of the TPC Drift Time in the ALICE High Level Trigger

    Science.gov (United States)

    Rohr, David; Krzewicki, Mikolaj; Zampolli, Chiara; Wiechula, Jens; Gorbunov, Sergey; Chauvin, Alex; Vorobyev, Ivan; Weber, Steffen; Schweda, Kai; Lindenstruth, Volker

    2017-06-01

    A Large Ion Collider Experiment (ALICE) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN. The high level trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors that are sensitive to environmental conditions such as pressure and temperature, e.g., the time projection chamber (TPC). A precise reconstruction of particle trajectories requires calibration of these detectors. Performing calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and Inner Tracking System. Reconstructing the trajectories in the TPC is the most compute-intense step. We present several improvements to the ALICE HLT developed to facilitate online calibration. The main new development for online calibration is a wrapper that can run ALICE offline analysis and calibration tasks inside the HLT. In addition, we have added asynchronous processing capabilities to support long-running calibration tasks in the HLT framework, which runs event-synchronously otherwise. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. The ZeroMQ components facilitate a feedback loop that inserts the calibration result created at the end of the chain back into tracking components at the beginning of the chain, after a

  1. O2: A novel combined online and offline computing system for the ALICE Experiment after 2018

    International Nuclear Information System (INIS)

    Ananya; Agrawal, N; Avasthi, A; Suaide, A Alarcon Do Passo; Prado, C Alves Garcia; Alt, T; Bach, M; Breitner, T; Aphecetche, L; Bala, R; Bhasin, A; Barnafoldi, G; Belikov, J; Bellini, F; Betev, L; Buncic, P; Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante

    2014-01-01

    ALICE (A Large Ion Collider Experiment) is a detector dedicated to the studies with heavy ion collisions exploring the physics of strongly interacting nuclear matter and the quark-gluon plasma at the CERN LHC (Large Hadron Collider). After the second long shutdown of the LHC, the ALICE Experiment will be upgraded to make high precision measurements of rare probes at low pT, which cannot be selected with a trigger, and therefore require a very large sample of events recorded on tape. The online computing system will be completely redesigned to address the major challenge of sampling the full 50 kHz Pb-Pb interaction rate increasing the present limit by a factor of 100. This upgrade will also include the continuous un-triggered read-out of two detectors: ITS (Inner Tracking System) and TPC (Time Projection Chamber)) producing a sustained throughput of 1 TB/s. This unprecedented data rate will be reduced by adopting an entirely new strategy where calibration and reconstruction are performed online, and only the reconstruction results are stored while the raw data are discarded. This system, already demonstrated in production on the TPC data since 2011, will be optimized for the online usage of reconstruction algorithms. This implies much tighter coupling between online and offline computing systems. An R and D program has been set up to meet this huge challenge. The object of this paper is to present this program and its first results.

  2. JACoW Monitoring the new ALICE Online-Offline computing system

    CERN Document Server

    Wegrzynek, Adam; Vino, Gioacchino

    2018-01-01

    ALICE (A Large Ion Collider Experiment) is a particle detector designed to study heavy-ion collisions and the physics of strongly interacting matter and the quark–gluon plasma at the CERN LHC (Large Hadron Collider). ALICE has been successfully collecting physics data since 2010. Currently, it is in the preparations for a major upgrade of the computing system, called O$^{2}$ (Online-Offline) and scheduled to be deployed during Long Shutdown 2 in 2019–2020. The O$^{2}$ system will consist of 268 FLPs (First Level Processors) equipped with readout cards and 1500 EPNs (Event Processing Node) performing data aggregation, calibration, reconstruction and event building. The system will readout 27 Tb/s of raw data and record tens of PBs of reconstructed data per year. To allow an efficient operation of the upgraded experiment, a new Monitoring subsystem will provide a complete overview of the O$^{2}$ computing system status, detect performance degradation or component failures. The ALICE O$^{2}$ Monitoring subsy...

  3. A rad-hard 2D-compressor ASIC for ALICE SDD experiment

    International Nuclear Information System (INIS)

    Antinori, Samuele; Falchieri, Davide; Gabrielli, Alessandro; Gandolfi, Enzo

    2004-01-01

    CARLOSv3 is a custom digital integrated circuit that plays a significant role in the data acquisition (DAQ) chain of the silicon drift detector (SDD) of a large ion collider experiment (ALICE). Each CARLOSv3 acts as a JTAG switch for front-end electronics and implements on-line two-dimensional (2D) data compression for two 8-bit DAQ channels handling the data streams delivered by the SDDs. The chip has been implemented using the 0.25 μm CMOS 3-metal CERN-developed digital library. It is composed of nearly 10k gates, has 88 user pads out of a total of 100 pads, has a die size of 4x4 mm 2 and is packaged in a CQFP100 ceramic package. In the paper, the chip is presented and described together with the 2D compression algorithm, the readout chain for ALICE SDD and the tests carried out

  4. DATA ACQUISITION (DAQ)

    CERN Multimedia

    Attila Racz

    DAQ/On-Line Computing installation status After the installation and commissioning of the DAQ underground elements in 2006 and the first months of 2007, all the efforts are now directed to the installation and commissioning of the On-Line Computing farm (OLC) located on the first floor of SCX5 building at the CMS experimental site. In summer 2007, 640 Readout Unit servers (RUs) have been installed and commissioned along with 160 servers providing general services for the users (DCS, database, RCMS, data storage, etc). Since the global run of November 2007, the event fragments are assembled and processed by the OLC. Thanks to the flexibility of the trapezoidal event builder, some RUs are acting as Filter Units (FUs) and hence provide the full processing chain with a single type of server. With this temporary configuration, all FEDs can be readout at a few kHz. Since the March 08 global run, events are stored on the storage manager SAN in the OLC, and subsequently transferred over the dedicated CDR link (2 x...

  5. Improvements of the ALICE high level trigger for LHC Run 2 to facilitate online reconstruction, QA, and calibration

    Energy Technology Data Exchange (ETDEWEB)

    Rohr, David [Frankfurt Institute for Advanced Studies, Frankfurt (Germany); Collaboration: ALICE-Collaboration

    2016-07-01

    ALICE is one of the four major experiments at the Large Hadron Collider (LHC) at CERN. Its main goal is the study of matter under extreme pressure and temperature as produced in heavy ion collisions at LHC. The ALICE High Level Trigger (HLT) is an online compute farm of around 200 nodes that performs a real time event reconstruction of the data delivered by the ALICE detectors. The HLT employs a fast FPGA based cluster finder algorithm as well as a GPU based track reconstruction algorithm and it is designed to process the maximum data rate expected from the ALICE detectors in real time. We present new features of the HLT for LHC Run 2 that started in 2015. A new fast standalone track reconstruction algorithm for the Inner Tracking System (ITS) enables the HLT to compute and report to LHC the luminous region of the interactions in real time. We employ a new dynamically reconfigurable histogram component that allows the visualization of characteristics of the online reconstruction using the full set of events measured by the detectors. This improves our monitoring and QA capabilities. During Run 2, we plan to deploy online calibration, starting with the calibration of the TPC (Time Projection Chamber) detector's drift time. First proof of concept tests were successfully performed using data-replay on our development cluster and during the heavy ion period at the end of 2015.

  6. ALICE rewards one of its suppliers

    CERN Multimedia

    2007-01-01

    On 6 October 2007 the ALICE Collaboration Board awarded one of its prestigious Industrial Awards to Hewlett-Packard for its instrumental role in enabling ALICE physicists to collect and process experimental data on the Grid. From left to right: Jurgen Schukraft, ALICE Spokesperson; Michel Bénard, Hewlett Packard, Director, Technology Programs and University Relations; Federico Carminati, ALICE Computing Project Leader; Lodovico Riccati, ALICE Collaboration Board Chairperson; Arnaud Pierson, Hewlett Packard, E.M.E.A Program Manager, University Relations and HP Labs; Latchezar Betev, ALICE Distributed Computing Coordinator.The ALICE DAQ and Offline groups have been collaborating with HP since 1993 in the yearly Computing and GRID physics data challenges programme. These are high-level exercises of readiness of hardware and software frameworks for data acquisition and processing. HP hosted ALICE experts in their "centre de compétences"...

  7. Reliable on-line storage in the ALICE High-Level Trigger

    Energy Technology Data Exchange (ETDEWEB)

    Kalcher, Sebastian; Lindenstruth, Volker [Kirchhoff Institute of Physics, University of Heidelberg (Germany)

    2009-07-01

    The on-line disk capacity within large computing clusters such as used in the ALICE High-Level Trigger (HLT) is often not used due to the inherent unreliability of the involved disks. With currently available hard drive capacities the total on-line capacity can be significant when compared to the storage requirements of present high energy physics experiments. In this talk we report on ClusterRAID, a reliable, distributed mass storage system, which allows to harness the (often unused) disk capacities of large cluster installations. The key paradigm of this system is to transform the local hard drive into a reliable device. It provides adjustable fault-tolerance by utilizing sophisticated error-correcting codes. To reduce the costs of coding and decoding operations the use of modern graphics processing units as co-processor has been investigated. Also, the utilization of low overhead, high performance communication networks has been examined. A prototype set up of the system exists within the HLT with 90 TB gross capacity.

  8. Development and Integration of on-line Data Analysis for the ALICE Experiment

    CERN Document Server

    Richter, Matthias

    2009-01-01

    The ALICE detector setup is a dedicated experiment in Heavy Ion Physics, located at the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN)/ Geneva. Its various sub-detectors are electronically read out by a few millions of channels and are expected to provide a huge sample of data for the investigation of strongly interacting matter. A data rate of up to 25 GByte/s imposes a challenge to both storage facilities and subsequent data analysis. On-line data processing is applied in order to reduce the data volume and selection of interesting events is suggested to increase the valuable information in the recorded data. In general, trigger systems cover the task of event selection. As the first signal needs to be available immediately after the collision, often a multi-level triggering scheme is applied. Fast detectors are deployed to generate different levels of hardware triggers. Subsequent software triggers accomplish event selection on the basis of on-line analysis. A High-Lev...

  9. ALICE bags data storage accolades

    CERN Multimedia

    2007-01-01

    ComputerWorld has recognized CERN with an award for the 'Best Practices in Storage' for ALICE's data acquisition system, in the category of 'Systems Implementation'. The award was presented to the ALICE DAQ team on 18 April at a ceremony in San Diego, CA. (Top) ALICE physicist Ulrich Fuchs. (Bottom) Three of the five storage racks for the ALICE Data Acquisition system (Photo Antonio Saba). Between 16 and19 April, one thousand people from data storage networks around the world gathered to attend the biannual Storage Networking World Conference. Twenty-five companies and organizations were celebrated as finalists, and five of those were given honorary awards-among them CERN, which tied for first place in the category of Systems Implementation for the success of the ALICE Data Acquisition System. CERN was one of five finalists in this category, which recognizes the winning facility for 'the successful design, implementation and management of an interoperable environment'. 'Successful' could include documentati...

  10. DATA ACQUISITION (DAQ)

    CERN Multimedia

    Frans Meijers

    The installation of the 50 kHz DAQ/HLT system has been completed during 2008. The equipment consists of the full detector readout, 8 DAQ slices with a 1 Tbit/s event building capacity, an event filter to run the High Level Trigger (HLT) comprising 720 8-core PCs, and a 16-node storage manager system allowing a write throughput up to 2 GByte/s and a total capacity of 300 TByte. The 50 kHz DAQ system has been commissioned and has been put into service for global cosmics and commissioning data taking. During CRAFT, data was taken with the full detector at ~600 Hz cosmic trigger rate. Often an additional 20 kHz of random triggers were mixed, which were pre-scaled for storage.  The random rate has been increased to ~90 kHz for the commissioning and cosmics runs in 2009, which included all detectors except tracker. The DAQ system is used, in addition to global data taking, for further commissioning and testing of the central DAQ. To this end data emulators are used at the front-end of the central DAQ (in...

  11. DAQ system for high energy polarimeter at the LHE, JINR: implementation based on the qdpb (data processing with branchpoints) system

    International Nuclear Information System (INIS)

    Isupov, A.Yu.

    2001-01-01

    Online data acquisition (DAQ) system's implementation for the High Energy Polarimeter (HEP) at the LHE, JINR is described. HEP DAQ is based on the qdpb system. Software modules specific for such implementation (HEP data and hardware dependent) are discussed

  12. That’s a matter for ALICE!

    CERN Multimedia

    Katarina Anthony

    2010-01-01

    ALICE has launched a new online newsletter to report on developments at the detector: ALICE Matters. The fortnightly newsletter will keep members of the collaboration – and a wider readership – up-to-date with the latest news from the detector.   Screenshot of the ALICE Matters website. The new ALICE Matters newsletter highlights the work of ALICE collaborators through news, interviews and feature articles. Published online every fortnight, it will report the latest developments from the experiment, providing information about operation and data taking, installation work during technical stops, and news from ALICE members. The newsletter is aimed at members of the collaboration, but as an online publication it is also open to the general public. “We often receive questions from people who follow our progress and are interested in what's happening at ALICE,” explains Despina Hatzifotiadou, ALICE Outreach Coordinator. “With ALICE Matters, we can n...

  13. New COMPASS DAQ

    Energy Technology Data Exchange (ETDEWEB)

    Bai, Yunpeng; Konorov, Igor

    2015-07-01

    This contribution focuses on the deployment and first results of the new FPGA-based data acquisition system (DAQ) of the COMPASS experiment. Since 2002, the number of channels increased to approximately 300000, trigger rate increased to 30 kHz; the average event size remained roughly 35 kB. In order to handle the increased data rates, the new DAQ system with custom FPGA based data handling cards (DHC) had been decided to replace the event building network. The DHCs are equipped with 16 high speed serial links, 2GB of DDR3 memory with bandwidth of 6 GB/s, Gigabit Ethernet connection, and COMPASS Trigger Control System. It uses two different firmware versions: multiplexer and switch. The multiplexer DHC can combine 15 incoming links into one outgoing, whereas the switch combines 8 data streams from multiplexers and using information from look-up table sends the full events to the readout engine servers equipped by spillbuffer PCI-Express cards that receive the data. Both types of DHC can buffer data which allows to distribute the load over the cycle of accelerator. For the purposes of configuration, run control, and monitoring, software tools are developed. Communication between processes in the system is implemented using the DIM library. The DAQ is fully configurable from the web interface. New DAQ system has been deployed for the pilot run starting from the September 2014. In the poster, the preliminary performance and stability results of the new DAQ are presented and compared with the original system in more detail.

  14. The ALICE data challenges

    International Nuclear Information System (INIS)

    Baud, J.P.; Collignon, M.; Collin, F.; Durand, J.; Jarp, S.; Jouanigot, J.M.; Panzer, B.; Carena, W.; Carminati, F.; Divia, R.; Rademakers, F.; Saiz, P.; Schossmaier, K.; Vande Vyvre, P.; Vascotto, A.

    2001-01-01

    Since 1998, the ALICE experiment and the CERN/IT division have jointly executed several large-scale high throughput distributed computing exercises: the ALICE data challenges. The goals of these regular exercises are to test hardware and software components of the data acquisition and computing systems in realistic conditions and to execute an early integration of the overall ALICE computing infrastructure. The authors report on the third ALICE Data Challenge (ADC III) that has been performed at CERN from January to March 2001. The data used during the ADC III are simulated physics raw data of the ALICE TPC, produced with the ALICE simulation program AliRoot. The data acquisition was based on the ALICE online framework called the ALICE Data Acquisition Test Environment (DATE) system. The data, after event building, were then formatted with the ROOT I/O package and a data catalogue based on MySQL was established. The Mass Storage System used during ADC III is CASTOR. Different software tools have been used to monitor the performances. DATE has demonstrated performances of more than 500 MByte/s. An aggregate data throughput of 85 MByte/s was sustained in CASTOR over several days. The total collected data amounts to 100 TBytes in 100.000 files

  15. BTeV trigger/DAQ innovations

    International Nuclear Information System (INIS)

    Votava, Margaret

    2005-01-01

    The BTeV experiment was a collider based high energy physics (HEP) B-physics experiment proposed at Fermilab. It included a large-scale, high speed trigger/data acquisition (DAQ) system, reading data off the detector at 500 Gbytes/sec and writing to mass storage at 200 Mbytes/sec. The online design was considered to be highly credible in terms of technical feasibility, schedule and cost. This paper will give an overview of the overall trigger/DAQ architecture, highlight some of the challenges, and describe the BTeV approach to solving some of the technical challenges. At the time of termination in early 2005, the experiment had just passed its baseline review. Although not fully implemented, many of the architecture choices, design, and prototype work for the online system (both trigger and DAQ) were well on their way to completion. Other large, high-speed online systems may have interest in the some of the design choices and directions of BTeV, including (a) a commodity-based tracking trigger running asynchronously at full rate, (b) the hierarchical control and fault tolerance in a large real time environment, (c) a partitioning model that supports offline processing on the online farms during idle periods with plans for dynamic load balancing, and (d) an independent parallel highway architecture

  16. Belle DAQ system upgrade at 2001

    CERN Document Server

    Suzuki, S Y; Kim, H W; Kim, H J; Kim, H O; Nakao, M; Won, E; Yamauchi, M

    2002-01-01

    We renewed the data acquisition system for the Belle experiment. Previous data acquisition system, which has been used since December 1998, did not have level 2 trigger facility. To improve the data reduction factor and total throughput, we replaced event builder, online computer farm and the storage system. The event builder and online computer farm are unified into one system. This event building farm uses commodity hardware and newly appended level 2 trigger functionality. This data acquisition system started its operation since last autumn and is very stable. We took 36 fb sup - sup 1 with new DAQ system, it had already overtaken 30 fb sup - sup 1 that is total amount of previous DAQ system.

  17. artdaq: DAQ software development made simple

    Science.gov (United States)

    Biery, Kurt; Flumerfelt, Eric; Freeman, John; Ketchum, Wesley; Lukhanin, Gennadiy; Rechenmacher, Ron

    2017-10-01

    For a few years now, the artdaq data acquisition software toolkit has provided numerous experiments with ready-to-use components which allow for rapid development and deployment of DAQ systems. Developed within the Fermilab Scientific Computing Division, artdaq provides data transfer, event building, run control, and event analysis functionality. This latter feature includes built-in support for the art event analysis framework, allowing experiments to run art modules for real-time filtering, compression, disk writing and online monitoring. As art, also developed at Fermilab, is also used for offline analysis, a major advantage of artdaq is that it allows developers to easily switch between developing online and offline software. artdaq continues to be improved. Support for an alternate mode of running whereby data from some subdetector components are only streamed if requested has been added; this option will reduce unnecessary DAQ throughput. Real-time reporting of DAQ metrics has been implemented, along with the flexibility to choose the format through which experiments receive the reports; these formats include the Ganglia, Graphite and syslog software packages, along with flat ASCII files. Additionally, work has been performed investigating more flexible modes of online monitoring, including the capability to run multiple online monitoring processes on different hosts, each running its own set of art modules. Finally, a web-based GUI interface through which users can configure details of their DAQ system has been implemented, increasing the ease of use of the system. Already successfully deployed on the LArlAT, DarkSide-50, DUNE 35ton and Mu2e experiments, artdaq will be employed for SBND and is a strong candidate for use on ICARUS and protoDUNE. With each experiment comes new ideas for how artdaq can be made more flexible and powerful. The above improvements will be described, along with potential ideas for the future.

  18. Development of DAQ-Middleware

    International Nuclear Information System (INIS)

    Yasu, Y; Nakayoshi, K; Sendai, H; Inoue, E; Tanaka, M; Suzuki, S; Satoh, S; Muto, S; Otomo, T; Nakatani, T; Uchida, T; Ando, N; Kotoku, T; Hirano, S

    2010-01-01

    DAQ-Middleware is a software framework of network-distributed DAQ system based on Robot Technology Middleware, which is an international standard of Object Management Group (OMG) in Robotics and its implementation was developed by AIST. DAQ-Component is a software unit of DAQ-Middleware. Basic components have been already developed. For examples, Gatherer is a readout component, Logger is a data logging component, Monitor is an analysis component and Dispatcher, which is connected to Gatherer as input of data path and to Logger/Monitor as output of data path. DAQ operator is a special component, which controls those components by using the control/status path. The control/status path and data path as well as XML-based system configuration and XML/HTTP-based system interface are well defined in DAQ-Middleware framework. DAQ-Middleware was adopted by experiments at J-PARC while the commissioning at the first beam had been successfully carried out. The functionality of DAQ-Middleware and the status of DAQ-Middleware at J-PARC are presented.

  19. SPHERE DAQ and off-line systems: implementation based on the qdpb system

    International Nuclear Information System (INIS)

    Isupov, A.Yu.

    2003-01-01

    Design of the on-line data acquisition (DAQ) system for the SPHERE setup (LHE, JINR) is described. SPHERE DAQ is based on the qdpb (Data Processing with Branchpoints) system and configurable experimental data and CAMAC hardware representations. Implementation of the DAQ and off-line program code, depending on the SPHERE setup's hardware layout and experimental data contents, is explained as well as software modules specific for such implementation

  20. Communication between Trigger/DAQ and DCS in ATLAS

    International Nuclear Information System (INIS)

    Burckhart, H.; Jones, R.; Hart, R.; Khomoutnikov, V.; Ryabov, Y.

    2001-01-01

    Within the ATLAS experiment Trigger/DAQ and DCS are both logically and physically separated. Nevertheless there is a need to communicate. The initial problem definition and analysis suggested three subsystems the Trigger/DAQ DCS Communication (DDC) project should support the ability to: 1. exchange data between Trigger/DAQ and DCS; 2. send alarm messages from DCS to Trigger/DAQ; 3. issue commands to DCS from Trigger/DAQ. Each subsystem is developed and implemented independently using a common software infrastructure. Among the various subsystems of the ATLAS Trigger/DAQ the Online is responsible for the control and configuration. It is the glue connecting the different systems such as data flow, level 1 and high-level triggers. The DDC uses the various Online components as an interface point on the Trigger/DAQ side with the PVSS II SCADA system on the DCS side and addresses issues such as partitioning, time stamps, event numbers, hierarchy, authorization and security. PVSS II is a commercial product chosen by CERN to be the SCADA system for all LHC experiments. Its API provides full access to its database, which is sufficient to implement the 3 subsystems of the DDC software. The DDC project adopted the Online Software Process, which recommends a basic software life-cycle: problem statement, analysis, design, implementation and testing. Each phase results in a corresponding document or in the case of the implementation and testing, a piece of code. Inspection and review take a major role in the Online software process. The DDC documents have been inspected to detect flaws and resulted in a improved quality. A first prototype of the DDC is ready and foreseen to be used at the test-beam during summer 2001

  1. ALICE tests its digital chain

    CERN Multimedia

    2007-01-01

    During its 7th data challenge, ALICE successfully tested the infrastructure of its data acquisition, transfer and storage system. The ALICE experiment will need a rock-solid data acquisition, selection, transfer, storage and handling system to analyse the billions of bits of data that will be generated every second. The heavy ion collisions at the LHC will generate 10 times more data per second than proton collisions. The ALICE teams have therefore been hard at it for several years designing a cutting-edge informatics system, whose reliability is regularly put to the test in the annual data challenges. Last December, groups from the Collaboration and the IT Department joined forces, or rather cables, in the 7th of these challenges. The teams of ALICE DAQ (data acquisition), ALICE Offline (data handling), IT-CS-IO (network) and IT-FIO (CASTOR and data storage) all took part in testing the various components of the infrastructure, from data acquisition to transfer and storage. Working in close collaboration,...

  2. The ALICE data acquisition system

    CERN Document Server

    Carena, F; Chapeland, S; Chibante Barroso, V; Costa, F; Dénes, E; Divià, R; Fuchs, U; Grigore, A; Kiss, T; Simonetti, G; Soós, C; Telesca, A; Vande Vyvre, P; Von Haller, B

    2014-01-01

    In this paper we describe the design, the construction, the commissioning and the operation of the Data Acquisition (DAQ) and Experiment Control Systems (ECS) of the ALICE experiment at the CERN Large Hadron Collider (LHC). The DAQ and the ECS are the systems used respectively for the acquisition of all physics data and for the overall control of the experiment. They are two computing systems made of hundreds of PCs and data storage units interconnected via two networks. The collection of experimental data from the detectors is performed by several hundreds of high-speed optical links. We describe in detail the design considerations for these systems handling the extreme data throughput resulting from central lead ions collisions at LHC energy. The implementation of the resulting requirements into hardware (custom optical links and commercial computing equipment), infrastructure (racks, cooling, power distribution, control room), and software led to many innovative solutions which are described together with ...

  3. The ALICE silicon pixel detector system

    International Nuclear Information System (INIS)

    Kapusta, S.

    2009-01-01

    front-end to the on-detector electronics are from aluminum. In this thesis, I present my involvement in the ALICE SPD project, I summarize the design, the construction, and the testing phase of the ALICE SPD. My involvement in the ALICE DCS project is also presented. During the past years the ALICE SPD collaboration has carried out four testbeams. e primary objective of these testbeams was the validation of the pixel ASICs, the sensors, the read-out electronics and the online systems - Data Acquisition System (DAQ), Trigger (TRG) and Detector Control System DCS with their so w are and offline as well. e pixel chip and sensor prototypes were studied under different conditions (threshold scan, different inclination angles with respect to the beam, bias voltage scan, etc.). Tests of thick and also thin single chip assemblies and chip ladders as designed to be used in the ALICE experiment were also performed. During and a e r the testbeams I developed so w are to verify the data quality, to merge 2 data pixels offline, to correlate the spatial information from different planes, to run a complex offline analysis of the testbeam data, including hit maps, integrated hit maps, event by event analysis, efficiency, multiplicity, cluster size, etc. e prototype full read-out chain with two ladders, the DAQ, Trigger and DCS online systems with their so w are and also offline code were tested and validated during the testbeams. Configuration, readout and control of the SPD is performed via the Detector Control System DCS. As a member of the ALICE Control Coordination ACC team, I had the opportunity to participate in the design, development, commissioning and operation of this system. I took responsibility for the database systems and developed mechanisms for configuring the Front end Electronics (FERO). e SPD has been used as a working example for other detector groups which adopted this approach. I developed and implemented a mechanism of conditions data archival and participated in

  4. Configurable data and CAMAC hardware representations for implementation of the SPHERE DAQ and offline systems

    International Nuclear Information System (INIS)

    Isupov, A.Yu.

    2001-01-01

    An implementation of the experimental data configurable representation for using in the DAQ and offline systems of the SPHERE setup at the LHE, JINR is described. A software scheme of the SPHERE CAMAC hardware's configurable description, intended to online data acquisition (DAQ) implementation based on the qdpb system, is issued

  5. DAQ INSTALLATION IN USC COMPLETED

    CERN Multimedia

    A. Racz

    After one year of work at P5 in the underground control rooms (USC55-S1&S2), the DAQ installation in USC55 is completed. The first half of 2006 was dedicated to the DAQ infrastructures installation (private cable trays, rack equipment for a very dense cabling, connection to services i.e. water, power, network). The second half has been spent to install the custom made electronics (FRLs and FMMs) and place all the inter-rack cables/fibers connecting all sub-systems to central DAQ (more details are given in the internal pages). The installation has been carried out by DAQ group members, coming from the hardware and software side as well. The pictures show the very nice team spirit !

  6. DATA ACQUISITION (DAQ)

    CERN Multimedia

    Gerry Bauer

    The CMS Storage Manager System The tail-end of the CMS Data Acquisition System is the Storage Manger (SM), which collects output from the HLT and stages the data at Cessy for transfer to its ultimate home in the Tier-0 center. A SM system has been used by CMS for several years with the steadily evolving software within the XDAQ framework, but until relatively recently, only with provisional hardware. The SM is well known to much of the collaboration through the ‘MiniDAQ’ system, which served as the central DAQ system in 2007, and lives on in 2008 for dedicated sub-detector commissioning. Since March of 2008 a first phase of the final hardware was commissioned and used in CMS Global Runs. The system originally planned for 2008 aimed at recording ~1MB events at a few hundred Hz. The building blocks to achieve this are based on Nexsan's SATABeast storage array - a device  housing up to 40 disks of 1TB each, and possessing two controllers each capable of almost 200 MB/sec throughput....

  7. The LHCb DAQ system

    CERN Document Server

    Jost, B

    2000-01-01

    The LHCb experiment is the most recently approved of the 4 experiments under construction at CERN's LHC accelerator. It is a special purpose experiment designed to precisely measure the CP violation parameters in the B-B system. Triggering poses special problems since the interesting events containing B-mesons are immersed in a large background of inelastic p-p reactions. We therefore decided to implement a 4 level triggering scheme. The LHCb Data Acquisition (DAQ) system will have to cope with an average trigger rate of similar to 40 kHz, after two levels of hardware triggers, and an average event size of similar to 150 kB. Thus an event-building network which can sustain an average bandwidth of 6 GB /s is required. A powerful software trigger farm will have to be installed to reduce the rate from the 40 kHz to similar to 200 Hz of events written to permanent storage. In this paper we will concentrate on the networking aspects of the LHCb data acquisition and the controls system. 11 Refs.

  8. A DAQ system for pixel detectors R and D

    International Nuclear Information System (INIS)

    Battaglia, M.; Bisello, D.; Contarato, D.; Giubilato, P.; Pantano, D.; Tessaro, M.

    2009-01-01

    Pixel detector R and D for HEP and imaging applications require an easily configurable and highly versatile DAQ system able to drive and read out many different chip designs in a transparent way, with different control logics and/or clock signals. An integrated, real-time data collection and analysis environment is essential to achieve fast and reliable detector characterization. We present a DAQ system developed to fulfill these specific needs, able to handle multiple devices at the same time while providing a convenient, ROOT based data display and online analysis environment.

  9. The ALICE data acquisition system

    Energy Technology Data Exchange (ETDEWEB)

    Carena, F.; Carena, W.; Chapeland, S.; Chibante Barroso, V.; Costa, F. [European Organization for Nuclear Research (CERN), Geneva 23 (Switzerland); Dénes, E. [Research Institute for Particle and Nuclear Physics, Wigner Research Center, Budapest (Hungary); Divià, R.; Fuchs, U. [European Organization for Nuclear Research (CERN), Geneva 23 (Switzerland); Grigore, A. [European Organization for Nuclear Research (CERN), Geneva 23 (Switzerland); Politehnica Univesity of Bucharest, Bucharest (Romania); Kiss, T. [Cerntech Ltd., Budapest (Hungary); Simonetti, G. [Dipartimento Interateneo di Fisica ‘M. Merlin’, Bari (Italy); Soós, C.; Telesca, A.; Vande Vyvre, P. [European Organization for Nuclear Research (CERN), Geneva 23 (Switzerland); Haller, B. von, E-mail: bvonhall@cern.ch [European Organization for Nuclear Research (CERN), Geneva 23 (Switzerland)

    2014-03-21

    In this paper we describe the design, the construction, the commissioning and the operation of the Data Acquisition (DAQ) and Experiment Control Systems (ECS) of the ALICE experiment at the CERN Large Hadron Collider (LHC). The DAQ and the ECS are the systems used respectively for the acquisition of all physics data and for the overall control of the experiment. They are two computing systems made of hundreds of PCs and data storage units interconnected via two networks. The collection of experimental data from the detectors is performed by several hundreds of high-speed optical links. We describe in detail the design considerations for these systems handling the extreme data throughput resulting from central lead ions collisions at LHC energy. The implementation of the resulting requirements into hardware (custom optical links and commercial computing equipment), infrastructure (racks, cooling, power distribution, control room), and software led to many innovative solutions which are described together with a presentation of all the major components of the systems, as currently realized. We also report on the performance achieved during the first period of data taking (from 2009 to 2013) often exceeding those specified in the DAQ Technical Design Report.

  10. The 2002 Test Beam DAQ

    CERN Multimedia

    Mapelli, L.

    The ATLAS Tilecal group has been the first user of the Test Beam version of the DAQ/EF-1 prototype in 2000. The prototype was successfully tested in lab in summer 1999 and it has been officially adopted as baseline solution for the Test Beam DAQ at the end of 1999. It provides the right solution for users who need to have a modern data acquisition chain for final or almost final front-end and off-detector electronics (RODs and ROD emulators). The typical architecture for the readout and the DAQ is sketched in the figure below. A number of detector crates can send data over the Read Out Link to the Read Out System. The Read Out System sends data over an Ethernet link to a SubFarm PC that provides to send the data to Central Data Recording. In 2001 also the Muon MDT group has adopted this modern DAQ where for the first time a PC-based ReadOut System has been used, instead of the VME based implementation used in 2000, and for the Tilecal DAQ in 2001. In 2002 also Tilecal has adopted the PC-based implement...

  11. Overview and performance of the FNAL KTeV DAQ system

    International Nuclear Information System (INIS)

    Nakaya, T.; O'Dell, V.; Hazumi, M.; Yamanaka, T.

    1995-11-01

    KTeV is a new fixed target experiment at Fermilab designed to study CP violation in the neutral kaon system. The KTeV Data Acquisition System (DAQ) is out of the highest performance DAQ's in the field of high energy physics. The sustained data throughput of the KTeV DAQ reaches 160 Mbytes/sec, and the available online level 3 processing power is 3600 Mips. In order to handle such high data throughput, the KTeV DAQ is designed around a memory matrix core where the data flow is divided and parallelized. In this paper, we present the architecture and test results of the KTeV DAQ system

  12. LHCb DAQ network upgrade tests

    CERN Document Server

    Pisani, Flavio

    2013-01-01

    My project concerned the evaluation of new technologies for the DAQ network upgrade of LHCb. The first part consisted in developing and Open Flow-based Clos network. This new technology is very interesting and powerful but, as shown by the results, it still needs further improvements. The second part consisted in testing and benchmarking 40GbE network equipment: Mellanox MT27500, Chelsio T580 and Huawei Cloud Engine 12804. An event-building simulation is currently been performed in order to check the feasibility of the DAQ network upgrade in LS2. The first results are promising.

  13. Front end electronics and first results of the ALICE V0 detector

    Energy Technology Data Exchange (ETDEWEB)

    Zoccarato, Y., E-mail: y.zoccarato@ipnl.in2p3.f [Universite de Lyon, Universite Lyon 1, CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (IPNL), 69622 Villeurbanne (France); Tromeur, W. [Universite de Lyon, Universite Lyon 1, CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (IPNL), 69622 Villeurbanne (France); Aguilar, S.; Alfaro, R.; Almaraz Avina, E.; Anzo, A.; Belmont, E. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Circuito de la Investigacion Cientifica Ciudad Universitaria, C.P. 04510, Mexico, D.F. (Mexico); Cheshkov, C.; Cheynis, B.; Combaret, C. [Universite de Lyon, Universite Lyon 1, CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (IPNL), 69622 Villeurbanne (France); Contreras, G. [Centro de Investigacion y de Estudios Avanzados (CINVESTAV), Av. Instituto Politecnico Nacional 2508 Col. San Pedro Zacatenco, C.P. 07360, Mexico, D.F. (Mexico); Cuautle, E. [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Circuito Exterior s/n, Ciudad Universitaria. Delg. Coyoacan, C.P. 04510, Mexico, D.F. (Mexico); Ducroux, L. [Universite de Lyon, Universite Lyon 1, CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (IPNL), 69622 Villeurbanne (France); Gonzalez Trueba, L.; Grabski, V. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Circuito de la Investigacion Cientifica Ciudad Universitaria, C.P. 04510, Mexico, D.F. (Mexico); Grossiord, J.-Y. [Universite de Lyon, Universite Lyon 1, CNRS/IN2P3, Institut de Physique Nucleaire de Lyon (IPNL), 69622 Villeurbanne (France); Herrera Corral, G. [Centro de Investigacion y de Estudios Avanzados (CINVESTAV), Av. Instituto Politecnico Nacional 2508 Col. San Pedro Zacatenco, C.P. 07360, Mexico, D.F. (Mexico); Martinez, A. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Circuito de la Investigacion Cientifica Ciudad Universitaria, C.P. 04510, Mexico, D.F. (Mexico)

    2011-01-21

    This paper gives a detailed description of the acquisition and trigger electronics especially designed for the V0 detector of ALICE at LHC. A short presentation of the detector itself is given before the description of the Front End Electronics (FEE) system, which is completely embedded within the LHC environment as far as acquisition (DAQ), trigger (CTP), and detector control (DCS) are concerned. It is able to detect on-line coincident events and to achieve charge (with a precision of 0.6 pC) and time measurements (with a precision of 100 ps). It deploys quite a simple architecture. It is however totally programmable and fully non-standard in discriminating events coming from Beam-Beam interaction and Beam-Gas background. Finally, raw data collected from the first LHC colliding beams illustrate the performance of the system.

  14. The C-RORC PCIe Card and its Application in the ALICE and ATLAS Experiments

    CERN Document Server

    Engel, H; Costa, F; Crone, G J; Eschweiler, D; Francis, D; Green, B; Joos, M; Kebschull, U; Kiss, T; Kugel, A; Panduro Vasquez, J G; Soos, C; Teixeira-Dias, P; Tremblet, L; Vande Vyvre, P; Vandelli, W; Vermeulen, J C; Werner, P; Wickens, F J

    2015-01-01

    The ALICE and ATLAS DAQ systems read out detector data via point-to-point serial links into custom hardware modules, the ALICE RORC and ATLAS ROBIN. To meet the increase in operational requirements both experiments are replacing their respective modules with a new common module, the C-RORC. This card, developed by ALICE, implements a PCIe Gen 2 x8 interface and interfaces to twelve optical links via three QSFP transceivers. This paper presents the design of the C-RORC, its performance and its application in the ALICE and ATLAS experiments.

  15. A DAQ system for CAMAC controller CC/NET using DAQ-Middleware

    International Nuclear Information System (INIS)

    Inoue, E; Yasu, Y; Nakayoshi, K; Sendai, H

    2010-01-01

    DAQ-Middleware is a framework for the DAQ system which is based on RT-Middleware (Robot Technology Middleware) and dedicated to making DAQ systems. DAQ-Middleware has come into use as a one of the DAQ system framework for the next generation Particle Physics experiment at KEK in recent years. DAQ-Middleware comprises DAQ-Components with all necessary basic functions of the DAQ and is easily extensible. So, using DAQ-Middleware, you are able to construct easily your own DAQ system by combining these components. As an example, we have developed a DAQ system for a CC/NET [1] using DAQ-Middleware by the addition of GUI part and CAMAC readout part. The CC/NET, the CAMAC controller was developed to accomplish high speed read-out of CAMAC data. The basic design concept of CC/NET is to realize data taking through networks. So, it is consistent with the DAQ-Middleware concept. We show how it is convenient to use DAQ-Middleware.

  16. The BELLE DAQ system

    Science.gov (United States)

    Suzuki, Soh Yamagata; Yamauchi, Masanori; Nakao, Mikihiko; Itoh, Ryosuke; Fujii, Hirofumi

    2000-10-01

    We built a data acquisition system for the BELLE experiment. The system was designed to cope with the average trigger rate up to 500 Hz at the typical event size of 30 kB. This system has five components: (1) the readout sequence controller, (2) the FASTBUS-TDC readout systems using charge-to-time conversion, (3) the barrel shifter event builder, (4) the parallel online computing farm, and (5) the data transfer system to the mass storage. This system has been in operation for physics data taking since June 1999 without serious problems.

  17. The BELLE DAQ system

    International Nuclear Information System (INIS)

    Suzuki, Soh Yamagata; Yamauchi, Masanori; Nakao, Mikihiko; Itoh, Ryosuke; Fujii, Hirofumi

    2000-01-01

    We built a data acquisition system for the BELLE experiment. The system was designed to cope with the average trigger rate up to 500 Hz at the typical event size of 30 kB. This system has five components: (1) the readout sequence controller, (2) the FASTBUS-TDC readout systems using charge-to-time conversion, (3) the barrel shifter event builder, (4) the parallel online computing farm, and (5) the data transfer system to the mass storage. This system has been in operation for physics data taking since June 1999 without serious problems

  18. Around ALICE

    CERN Multimedia

    2004-01-01

    http://www.cern.ch/cern50/ On the occasion of CERN's Golden Jubilee, at the Centre culturel Jean Monnet de Saint-Genis-Pouilly Exposition from Monday 11 October to Sunday 24 October. A presentation of CERN and the ALICE experiment with photos, student-made projects, computer animations, virtual reality demonstrations, and more. Saturday 16 October* Planting of a commemorative tree at 16:00 Public presentation at 16:30, followed by a visit to the subterranean site of the ALICE experiment (Number of places limited, reservations at: Service Culturel de la Marie de Saint-Genis-Pouilly, tél 04. 50. 20. 52. 59, Office de Tourisme Saint-Genis-Pouilly, tél: 04. 50. 42. 29. 37) * for the occasion of the Open Day, with 50 sites at CERN, see: http://intranet.cern.ch/Chronological/2004/CERN50/

  19. Around ALICE

    CERN Multimedia

    2004-01-01

    On the occasion of CERN's Golden Jubilee at Centre Culturel Jean Monnet de Saint-Genis-Pouilly Exposition from Monday 11 October to Sunday 24 October A presentation of CERN and the ALICE experiment with photos, student-made projects, computer animations, virtual reality demonstrations, and more. Saturday 16 October* Planting of a commemorative tree at 16:00 Public presentation at 16:30, followed by a visit to the subterranean site of the ALICE experiment (Number of places limited, reservations at: Service Culturel de la Marie de Saint-Genis-Pouilly, tel 04 50 20 52 59, or the Office de Tourisme Saint-Genis-Pouilly, tel: 04 50 42 29 37) * for the occasion of the Open Day, with 50 sites at CERN, see: http://intranet.cern.ch/Chronological/2004/CERN50/openday/openday_en.html

  20. ALICE Organisation

    CERN Multimedia

    Gouriou, Nathalie

    2016-01-01

    ALICE is the acronym for A Large Ion Collider Experiment, one of the largest experiments in the world devoted to research in the physics of matter at an infinitely small scale. Hosted at CERN, the European Laboratory for Nuclear Research, this project involves an international collaboration of more than 1400 physicists, engineers and technicians, including about 340 graduate students, from 132 physics institutes in 37 countries across the world.

  1. ALICE Organisation

    CERN Multimedia

    Hadre, J

    2015-01-01

    ALICE is the acronym for A Large Ion Collider Experiment, one of the largest experiments in the world devoted to research in the physics of matter at an infinitely small scale. Hosted at CERN, the European Laboratory for Nuclear Research, this project involves an international collaboration of more than 1400 physicists, engineers and technicians, including around 340 graduate students, from 132 physics institutes in 37 countries across the world.

  2. Fitting ALICE

    CERN Multimedia

    2004-01-01

    The support structures for the detectors inside the ALICE solenoid magnet (the L3 magnet) were finished in December 2003. After commissioning and testing, over the next year, the structures will be lowered into the cavern and installed in the magnet by spring 2005. At first sight you might mistake them for scaffolding. But a closer look reveals unusual features: Two are made of austenitic (non-magnetic) stainless steel with a cross section that looks like an "H". Another is made of 8 centimetre aluminium square tubes. "Them" are the support structures for the detectors and services inside the ALICE solenoid magnet (the L3 magnet) which were finished in December 2003. «The physicists don't want to have a lot of material close to their detectors; it has to be as few as possible,» says Diego Perini, who is responsible for the common support structures of ALICE. «We therefore had the very difficult task to design something relatively light that i...

  3. ALICE high-level trigger readout and FPGA processing in Run 2

    Energy Technology Data Exchange (ETDEWEB)

    Engel, Heiko; Kebschull, Udo [IRI, Goethe-Universitaet Frankfurt (Germany); Collaboration: ALICE-Collaboration

    2016-07-01

    The ALICE experiment uses the optical Detector Data Link (DDL) protocol to connect the detectors to the computing clusters of Data Acquisition (DAQ) and High-Level Trigger (HLT). The interfaces between the clusters and the optical links are realized with FPGA boards. HLT has replaced all of its interface boards with the Common Read-Out Receiver Card (C-RORC) for Run 2. This enables the read-out of detectors at higher link rates and allows to extend the data pre-processing capabilities, like online cluster finding, already in the FPGA. The C-RORC is integrated transparently into the existing HLT data transport framework and the cluster monitoring and management infrastructure. The board is in use since the start of LHC Run 2 and all ALICE data from and to HLT as well as all data from the TPC and the TRD is handled by C-RORCs. This contribution gives an overview on the firmware and software status of the C-RORC in the HLT.

  4. DAQ

    CERN Multimedia

    Gomez-Reino Garrido

    Rack Control In order to operate and monitor CMS detector, a large amount of electronic equipment is being installed in around five hundred racks. These racks, full of PCs and other industrial and custom electronic instruments, should be closely controlled and monitored on a full time basis. For this purpose, CMS has developed a Rack Control & Monitoring software application that is also used by the rest of LHC experiments. On the control side, this application interfaces the electrical distribution system allowing to power on and power off individual or groups of racks. For the rack environment monitoring part, the rack control software communicates with CERN made monitoring boards installed in every rack. These boards provide, among other information, temperature, humidity and air flow readings inside each rack. Some automated actions are performed by the tool to anticipate and, if possible, prevent safety system actions in the racks. Racks are automatically switched off if temperature or dew point r...

  5. DAQ

    CERN Multimedia

    F. Meijers

    2012-01-01

      Preparations for the 2012 physics run The HLT farm currently comprises 720 PC nodes with dual E5430 4-core CPUs (installed in 2009) and 288 PC nodes with dual X5650 6-core CPUs (installed in early 2011). This gives a total HLT capacity of 9216 cores and 18 TB of memory. It provides a capacity for HLT of about 100 ms/event (on a 2.7 GHz E5430 core) at 100 kHz L1 rate in pp collisions. In order to be able to handle the expected higher instantaneous luminosities in 2012 (up to 7E33 at 50 ns bunch spacing) with a pile-up of ~35 events, a further extension of the HLT is necessary. This extension aims at a capacity of about 150 ms/event. The 2012 extension will consist of 256 nodes dual 8-core CPUs of the new ‘Sandy-Bridge’ architecture and is foreseen to be ready for deployment after the first LHC MD period (end April). In order to connect the new PC nodes to the existing data network switches, the event builder network has been re-cabled (see Image 3) to reduce the number of dat...

  6. The Message Reporting System of the ATLAS DAQ System

    CERN Document Server

    Caprini, M; Kolos, S; 10th ICATPP Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications

    2008-01-01

    The Message Reporting System (MRS) in the ATLAS data acquisition system (DAQ) is one package of the Online Software which acts as a glue of various elements of DAQ, High Level Trigger (HLT) and Detector Control System (DCS). The aim of the MRS is to provide a facility which allows all software components in ATLAS to report messages to other components of the distributed DAQ system. The processes requiring a MRS are on one hand applications that report error conditions or information and on the other hand message processors that receive reported messages. A message reporting application can inject one or more messages into the MRS at any time. An application wishing to receive messages can subscribe to a message group according to defined criteria. The application receives messages that fulfill the subscription criteria when they are reported to MRS. The receiver message processing can consist of anything from simply logging the messages in a file/terminal to performing message analysis. The inter-process comm...

  7. The ALICE Silicon Pixel Detector Control and Calibration Systems

    CERN Document Server

    Calì, Ivan Amos; Manzari, Vito; Stefanini, Giorgio

    2008-01-01

    The work presented in this thesis was carried out in the Silicon Pixel Detector (SPD) group of the ALICE experiment at the Large Hadron Collider (LHC). The SPD is the innermost part (two cylindrical layers of silicon pixel detec- tors) of the ALICE Inner Tracking System (ITS). During the last three years I have been strongly involved in the SPD hardware and software development, construction and commissioning. This thesis is focused on the design, development and commissioning of the SPD Control and Calibration Systems. I started this project from scratch. After a prototyping phase now a stable version of the control and calibration systems is operative. These systems allowed the detector sectors and half-barrels test, integration and commissioning as well as the SPD commissioning in the experiment. The integration of the systems with the ALICE Experiment Control System (ECS), DAQ and Trigger system has been accomplished and the SPD participated in the experimental December 2007 commissioning run. The complex...

  8. ALICE Cosmic Ray Detector

    CERN Multimedia

    Fernandez Tellez, A; Martinez Hernandez, M; Rodriguez Cahuantzi, M

    2013-01-01

    The ALICE underground cavern provides an ideal place for the detection of high energy atmospheric muons coming from cosmic ray showers. ACORDE detects cosmic ray showers by triggering the arrival of muons to the top of the ALICE magnet.

  9. LHCb; DAQ Architecture for the LHCb Upgrade

    CERN Multimedia

    Neufeld, N

    2013-01-01

    LHCb will have an upgrade of its detector in 2018. After the upgrade, the LHCb experiment will run at a high luminosity of 2x 10$^{33}$ cm$^{-2}$ . s$^{-1}$. The upgraded detector will be read out at 40 MHz with a highly flexible software-based triggering strategy. The Data Acquisition (DAQ) system of HCb reads out the data fragments from the Front-End Electronics and transports them to the High-Lever Trigger farm at an aggregate throughput of 32 Tbit/s. The DAQ system will be based on high speed network technologies such as InfiniBand and/or 10/40/100 Gigabit Ethernet. Independent of the network technology, there are different possible architectures for the DAQ system. In this paper, we present our studies on the DAQ architecture, where we analyze size, complexity and (relative) cost. We evaluate and compare several data-flow schemes for a network-based DAQ: push, pull and push with barrel-shifter traffic shaping. We also discuss the requirements and overall implications of the data-flow schemes on the DAQ ...

  10. DAQ Architecture for the LHCb Upgrade

    International Nuclear Information System (INIS)

    Liu, Guoming; Neufeld, Niko

    2014-01-01

    LHCb will have an upgrade of its detector in 2018. After the upgrade, the LHCb experiment will run at a high luminosity of 2 × 10 33 cm −2 s −1 . The upgraded detector will be read out at 40 MHz with a highly flexible software-based triggering strategy. The Data Acquisition (DAQ) system of LHCb reads out the data fragments from the Front-End Electronics and transports them to the High-Lever Trigger farm at an aggregate throughput of ∼ 32 Tbit/s. The DAQ system will be based on high speed network technologies such as InfiniBand and/or 10/40/100 Gigabit Ethernet. Independent of the network technology, there are different possible architectures for the DAQ system. In this paper, we present our studies on the DAQ architecture, where we analyze size, complexity and relative cost. We evaluate and compare several data-flow schemes for a network-based DAQ: push, pull and push with barrel-shifter traffic shaping. We also discuss the requirements and overall implications of the data-flow schemes on the DAQ system.

  11. ALICE HMPID Radiator Vessel

    CERN Document Server

    2003-01-01

    View of the radiator vessels of the ALICE/HMPID mounted on the support frame. Each HMPID module is equipped with 3 indipendent radiator vessels made out of neoceram and fused silica (quartz) windows glued together. The spacers inside the vessel are needed to stand the hydrostatic pressure. http://alice-hmpid.web.cern.ch/alice-hmpid

  12. Using Linux PCs in DAQ applications

    CERN Document Server

    Ünel, G; Beck, H P; Cetin, S A; Conka, T; Crone, G J; Fernandes, A; Francis, D; Joosb, M; Lehmann, G; López, J; Mailov, A A; Mapelli, Livio P; Mornacchi, Giuseppe; Niculescu, M; Petersen, J; Tremblet, L J; Veneziano, Stefano; Wildish, T; Yasu, Y

    2000-01-01

    ATLAS Data Acquisition/Event Filter "-1" (DAQ/EF1) project provides the opportunity to explore the use of commodity hardware (PCs) and Open Source Software (Linux) in DAQ applications. In DAQ/EF-1 there is an element called the LDAQ which is responsible for providing local run-control, error-handling and reporting for a number of read- out modules in front end crates. This element is also responsible for providing event data for monitoring and for the interface with the global control and monitoring system (Back-End). We present the results of an evaluation of the Linux operating system made in the context of DAQ/EF-1 where there are no strong real-time requirements. We also report on our experience in implementing the LDAQ on a VMEbus based PC (the VMIVME-7587) and a desktop PC linked to VMEbus with a Bit3 interface both running Linux. We then present the problems encountered during the integration with VMEbus, the status of the LDAQ implementation and draw some conclusions on the use of Linux in DAQ applica...

  13. ALICE moves into warp drive.

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    A Large Ion Collider Experiment (ALICE) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). Since its successful start-up in 2010, the LHC has been performing outstandingly, providing to the experiments long periods of stable collisions and an integrated luminosity that greatly exceeds the planned targets. To fully explore these privileged conditions, we aim at maximizing the experiment's data taking productivity during stable collisions. We present in this paper the evolution of the online systems in order to spot reasons of inefficiency and address new requirements. This paper describes the features added to the ALICE Electronic Logbook (eLogbook) to allow the Run Coordination team to identify, prioritize, fix and follow causes of inefficiency in the experiment. Thorough monitoring of the data taking efficiency provides reports for the collaboration to portray its evolution and evaluate the measures (fix...

  14. LAND/R3B DAQ developments

    Energy Technology Data Exchange (ETDEWEB)

    Toernqvist, Hans; Aumann, Thomas; Loeher, Bastian [Technische Universitaet Darmstadt, Darmstadt (Germany); Simon, Haik [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, Darmstadt (Germany); Johansson, Haakan [Chalmers Institute of Technology, Goeteborg (Sweden); Collaboration: R3B-Collaboration

    2015-07-01

    Existing experimental setups aim to exploit most of the improved capabilities and specifications of the upcoming FAIR facility at GSI. Their DAQ designs will require some re-evaluation and upgrades. This presentation summarizes the R3B experimental campaigns in 2014, where the R3B DAQ was subject to testing of several new features that will aid researchers in using larger and more complicated experimental setups in the future. It also acted as part of a small testing ground for the NUSTAR DAQ infrastructure. In order to allow to extract correlations between several experimental sites, new suggested triggering and timestamping implementations were tested over significant distances. Also, with growing experimental complexity comes a greater risk of problems that may be difficult to characterize and solve. To this end, essential remote monitoring and debugging tools have been used successfully.

  15. ATLAS DAQ/HLT rack DCS

    International Nuclear Information System (INIS)

    Ermoline, Yuri; Burckhart, Helfried; Francis, David; Wickens, Frederick J.

    2007-01-01

    The ATLAS Detector Control System (DCS) group provides a set of standard tools, used by subsystems to implement their local control systems. The ATLAS Data Acquisition and High Level Trigger (DAQ/HLT) rack DCS provides monitoring of the environmental parameters (air temperatures, humidity, etc.). The DAQ/HLT racks are located in the underground counting room (20 racks) and in the surface building (100 racks). The rack DCS is based on standard ATLAS tools and integrated into overall operation of the experiment. The implementation is based on the commercial control package and additional components, developed by CERN Joint Controls Project Framework. The prototype implementation and measurements are presented

  16. DRM2: the readout board for the ALICE TOF upgrade

    CERN Document Server

    Falchieri, Davide

    2018-01-01

    For the upgrade of the ALICE TOF electronics, we have designed a new version of the readout board, named DRM2, a card able to read the data coming from the TDC Readout Module boards via VME. A Microsemi Igloo2 FPGA acts as the VME master and interfaces the GBTx link for transmitting data and receiving triggers and a low-jitter clock. Compared to the old board, the DRM2 is able to cope with faster trigger rates and provides a larger data bandwidth towards the DAQ. The results of the measurements on the received clock jitter and data transmission performances in a full crate are given.

  17. DAQ system for low density plasma parameters measurement

    International Nuclear Information System (INIS)

    Joshi, Rashmi S.; Gupta, Suryakant B.

    2015-01-01

    In various cases where low density plasmas (number density ranges from 1E4 to 1E6 cm -3 ) exist for example, basic plasma studies or LEO space environment measurement of plasma parameters becomes very critical. Conventional tip (cylindrical) Langmuir probes often result into unstable measurements in such lower density plasma. Due to larger surface area, a spherical Langmuir probe is used to measure such lower plasma densities. Applying a sweep voltage signal to the probe and measuring current values corresponding to these voltages gives V-I characteristics of plasma which can be plotted on a digital storage oscilloscope. This plot is analyzed for calculating various plasma parameters. The aim of this paper is to measure plasma parameters using a spherical Langmuir probe and indigenously developed DAQ system. DAQ system consists of Keithley source-meter and a host system connected by a GPIB interface. An online plasma parameter diagnostic system is developed for measuring plasma properties for non-thermal plasma in vacuum. An algorithm is developed using LabVIEW platform. V-I characteristics of plasma are plotted with respect to different filament current values and different locations of Langmuir probe with reference to plasma source. V-I characteristics is also plotted for forward and reverse voltage sweep generated programmatically from the source meter. (author)

  18. ALICE HLT Run 2 performance overview.

    Science.gov (United States)

    Krzewicki, Mikolaj; Lindenstruth, Volker; ALICE Collaboration

    2017-10-01

    For the LHC Run 2 the ALICE HLT architecture was consolidated to comply with the upgraded ALICE detector readout technology. The software framework was optimized and extended to cope with the increased data load. Online calibration of the TPC using online tracking capabilities of the ALICE HLT was deployed. Offline calibration code was adapted to run both online and offline and the HLT framework was extended to support that. The performance of this schema is important for Run 3 related developments. An additional data transport approach was developed using the ZeroMQ library, forming at the same time a test bed for the new data flow model of the O2 system, where further development of this concept is ongoing. This messaging technology was used to implement the calibration feedback loop augmenting the existing, graph oriented HLT transport framework. Utilising the online reconstruction of many detectors, a new asynchronous monitoring scheme was developed to allow real-time monitoring of the physics performance of the ALICE detector, on top of the new messaging scheme for both internal and external communication. Spare computing resources comprising the production and development clusters are run as a tier-2 GRID site using an OpenStack-based setup. The development cluster is running continuously, the production cluster contributes resources opportunistically during periods of LHC inactivity.

  19. The ALICE TPC front end electronics

    CERN Document Server

    Musa, L; Bialas, N; Bramm, R; Campagnolo, R; Engster, Claude; Formenti, F; Bonnes, U; Esteve-Bosch, R; Frankenfeld, Ulrich; Glässel, P; Gonzales, C; Gustafsson, Hans Åke; Jiménez, A; Junique, A; Lien, J; Lindenstruth, V; Mota, B; Braun-Munzinger, P; Oeschler, H; Österman, L; Renfordt, R E; Ruschmann, G; Röhrich, D; Schmidt, H R; Stachel, J; Soltveit, A K; Ullaland, K

    2004-01-01

    In this paper we present the front end electronics for the time projection chamber (TPC) of the ALICE experiment. The system, which consists of about 570000 channels, is based on two basic units: (a) an analogue ASIC (PASA) that incorporates the shaping-amplifier circuits for 16 channels; (b) a mixed-signal ASIC (ALTRO) that integrates 16 channels, each consisting of a 10-bit 25-MSPS ADC, the baseline subtraction, tail cancellation filter, zero suppression and multi-event buffer. The complete readout chain is contained in front end cards (FEC), with 128 channels each, connected to the detector by means of capton cables. A number of FECs (up to 25) are controlled by a readout control unit (RCU), which interfaces the FECs to the data acquisition (DAQ), the trigger, and the detector control system (DCS) . A function of the final electronics (1024 channels) has been characterized in a test that incorporates a prototype of the ALICE TPC as well as many other components of the final set-up. The tests show that the ...

  20. ALICE brochure (French version)

    CERN Multimedia

    Lefevre, C

    2012-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  1. ALICE brochure (French version)

    CERN Multimedia

    Lefevre, Christiane

    2011-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  2. ALICE brochure (Danish version)

    CERN Multimedia

    Lefevre, C

    2010-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  3. ALICE brochure (English version)

    CERN Multimedia

    Lefevre, C

    2012-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  4. ALICE brochure (English version)

    CERN Multimedia

    Lefevre, C

    2010-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  5. ALICE brochure (Italian version)

    CERN Multimedia

    Lefevre, C

    2010-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  6. ALICE brochure (German version)

    CERN Multimedia

    Lefevre, C

    2012-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  7. ALICE brochure (Spanish version)

    CERN Multimedia

    Lefevre, C

    2008-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which will start up in 2008. ALICE will study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  8. ALICE brochure (English version)

    CERN Multimedia

    Marcastel, Fabienne

    2014-01-01

    ALICE is one of the four big experiments for the LHC, the most powerful particle accelerator in the world, which started up in 2008. ALICE studies the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe.

  9. ALICE chip processor

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    This tiny chip provides data processing for the time projection chamber on ALICE. Known as the ALICE TPC Read Out (ALTRO), this device was designed to minimize the size and power consumption of the TPC front end electronics. This single chip contains 16 low-power analogue-to-digital converters with six million transistors of digital processing and 8 kbits of data storage.

  10. "Alice imedemaal" Vanemuises

    Index Scriptorium Estoniae

    2004-01-01

    7. veebr. esietendub Vanemuises tantsulavastus "Alice imedemaal". Etendus põhineb briti kirjaniku L. Carrolli samanimelisel lasteraamatul, koreograaf M. Murdmaa, kunstnik K. Jancis ja muusika on kirjutanud ungari helilooja S. Kall̤s, Alice'i osa tantsib korealanna Hye Min Kim

  11. Developments and applications of DAQ framework DABC v2

    International Nuclear Information System (INIS)

    Adamczewski-Musch, J; Kurz, N; Linev, S

    2015-01-01

    The Data Acquisition Backbone Core (DABC) is a software framework for distributed data acquisition. In 2013 Version 2 of DABC has been released with several improvements. For monitoring and control, an HTTP web server and a proprietary command channel socket have been provided. Web browser GUIs have been implemented for configuration and control of DABC and MBS DAQ nodes via such HTTP server. Several specific plug-ins, for example interfacing PEXOR/KINPEX optical readout PCIe boards, or HADES trbnet input and hld file output, have been further developed. In 2014, DABC v2 was applied for production data taking of the HADES collaboration's pion beam time at GSI. It fully replaced the functionality of the previous event builder software and added new features concerning online monitoring. (paper)

  12. Research and development of common DAQ platform

    International Nuclear Information System (INIS)

    Higuchi, T.; Igarashi, Y.; Nakao, M.; Suzuki, S.Y.; Tanaka, M.; Nagasaka, Y.; Varner, G.

    2003-01-01

    The upgrade of the KEKB accelerator toward L=10 35 cm -2 s -1 requires an upgrade of the Belle data acquisition system. To match the market trend, we develop a DAQ platform based on the PCI bus that enables fastest DAQ with longer lifetime of the system. The platform is a VME-9U motherboard comprising of four slots for signal digitization modules and three PMC slots to house CPU for data compression. The platform is equipped with event FIFOs for data buffering to minimize the dead-time. A trigger module residing on VME-6U size rear board is connected to the 9U board via PCI-PCI bridge to make an interrupt for the CPU upon the level-1 trigger. (author)

  13. Fourth Data Challenge for the ALICE data acquisition system

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    The ALICE experiment will study quark-gluon plasma using beams of heavy ions, such as those of lead. The particles in the beams will collide thousands of times per second in the detector and each collision will generate an event containing thousands of charged particles. Every second, the characteristics of tens of thousands of particles will have to be recorded. Thus, to be effective, the data acquisition system (DAQ) must meet extremely strict performance criteria. To this end, the ALICE Data Challenges entail step-by-step testing of the DAQ with existing equipment that is sufficiently close to the final equipment to provide a reliable indication of performance. During the fourth challenge, in 2002, a data acquisition rate of 1800 megabytes per second was achieved by using some thirty parallel-linked PCs running the specially developed DATE software. During the final week of tests in December 2002, the team also tested the Storage Tek linear magnetic tape drives. Their bandwidth is 30 megabytes per second a...

  14. Common Readout System in ALICE

    CERN Document Server

    Jubin, Mitra

    2016-01-01

    The ALICE experiment at the CERN Large Hadron Collider is going for a major physics upgrade in 2018. This upgrade is necessary for getting high statistics and high precision measurement for probing into rare physics channels needed to understand the dynamics of the condensed phase of QCD. The high interaction rate and the large event size in the upgraded detectors will result in an experimental data flow traffic of about 1 TB/s from the detectors to the on-line computing system. A dedicated Common Readout Unit (CRU) is proposed for data concentration, multiplexing, and trigger distribution. CRU, as common interface unit, handles timing, data and control signals between on-detector systems and online-offline computing system. An overview of the CRU architecture is presented in this manuscript.

  15. Common Readout System in ALICE

    CERN Document Server

    Jubin, Mitra

    2017-01-01

    The ALICE experiment at the CERN Large Hadron Collider is going for a major physics upgrade in 2018. This upgrade is necessary for getting high statistics and high precision measurement for probing into rare physics channels needed to understand the dynamics of the condensed phase of QCD. The high interaction rate and the large event size in the upgraded detectors will result in an experimental data flow traffic of about 1 TB/s from the detectors to the on-line computing system. A dedicated Common Readout Unit (CRU) is proposed for data concentration, multiplexing, and trigger distribution. CRU, as common interface unit, handles timing, data and control signals between on-detector systems and online-offline computing system. An overview of the CRU architecture is presented in this manuscript.

  16. The experiments ALICE

    CERN Document Server

    Fabjan, Christian

    2009-01-01

    This article documents the main design choices and the close to 20 years of preparation, detector R&D, construction and installation of ALICE, the dedicated heavy ion experiment at the CERN LHC accelerator.

  17. Computing in ALICE

    International Nuclear Information System (INIS)

    Brun, R.; Buncic, P.; Carminati, F.; Morsch, A.; Rademakers, F.; Safarik, K.

    2003-01-01

    The objective of the offline framework is to reconstruct and analyse the data coming from real interactions. The ALICE Offline framework, AliRoot, has already been used during the production of the Technical Design Reports of each detector to optimise their design and it is currently used to evaluate the physics performance of the full ALICE detector. This paper describes the AliRoot software environment. We wish to put into perspective the main decisions and the organisation of the offline project. First a general description of the ALICE offline framework (AliRoot) is given, starting with a short historical background followed by a description of the simulation, reconstruction and analysis architecture and the organisation of the ALICE offline project. Finally we briefly indicate the main conclusions of our work on AliRoot

  18. Masterclasses - ALICE - 2012

    CERN Multimedia

    Bennett, Polly

    2012-01-01

    29 students from the Lycée International de Ferney participated in the International Masterclasses - hands-on Particle Physics programme. In the CERN training centre they analysed ALICE data looking for strange particles.

  19. ALICE Time Projection Chamber

    CERN Multimedia

    Lippmann, C

    2013-01-01

    The Time Projection Chamber (TPC) is the main device in the ALICE 'central barrel' for the tracking and identification (PID) of charged particles. It has to cope with unprecedented densities of charges particles.

  20. Computing in ALICE

    CERN Document Server

    Brun, R; Carminati, F; Morsch, Andreas; Rademakers, F; Safarík, K

    2003-01-01

    The objective of the offline framework is to reconstruct and analyse the data coming from real interactions. The ALICE Offline framework, AliRoot, has already been used during the production of the Technical Design Reports of each detector to optimise their design and it is currently used to evaluate the physics performance of the full ALICE detector. This paper describes the AliRoot software environment. We wish to put into perspective the main decisions and the organisation of the offline project. First a general description of the ALICE offline framework (AliRoot) is given, starting with a short historical background followed by a description of the simulation, reconstruction and analysis architecture and the organisation of the ALICE offline project. Finally we briefly indicate the main conclusions of our work on AliRoot.

  1. ALICE HMPID RICH

    CERN Multimedia

    2003-01-01

    Particle identification plays a key role in the complete understanding of heavy-ion collisions in ALICE at the LHC. . The CsI Photodetector . The Radiator . The Front-End Electronics . Detector performance

  2. ALICE honours industries

    CERN Document Server

    2006-01-01

    The third annual ALICE Awards ceremony recognizes three companies for their contribution to the experiment's detector. The ALICE Awards winners pictured with CERN Secretary-General, Maximilian Metzger, during the ceremony. Three industries were honoured at the ALICE Awards ceremony on 17 March for their exceptional work on the collaboration's detector. Representatives from the companies accepted their awards at the ceremony, which was also attended by CERN Secretary-General Maximilian Metzger and members of the ALICE Collaboration Board. VTT Microelectronics of Finland received an award for the production of the thin bump bonded ladders (detector arrays, each consisting of 40 960 active cells) for the silicon pixel detector (SPD) in the inner tracking system. A number of technical hurdles had to be overcome: complex and expensive equipment was procured or upgraded, and processes underwent a detailed study and careful tuning. The ladders have a high and stable yield and the production will soon be completed...

  3. Installing the ALICE detector

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    The huge iron yoke in the cavern at Point 2 in the LHC tunnel is prepared for the installation of the ALICE experiment. The yoke is being reused from the previous L3 experiment that was located at the same point during the LEP project from 1989 to 2000. ALICE will be inserted piece by piece into the cradle where it will be used to study collisions between two beams of lead ions.

  4. Flexible custom designs for CMS DAQ

    CERN Document Server

    Arcidiacono, Roberta; Boyer, Vincent; Brett, Angela Mary; Cano, Eric; Carboni, Andrea; Ciganek, Marek; Cittolin, Sergio; Erhan, Samim; Gigi, Dominique; Glege, Frank; Gomez-Reino Garrido, Robert; Gulmini, Michele; Gutleber, Johannes; Jacobs, Claude; Maron, Gaetano; Meijers, Frans; Meschi, Emilio; Murray, Steven John; Oh, Alexander; Orsini, Luciano; Paus, Christoph; Petrucci, Andrea; Piedra Gomez, Jonatan; Pieri, Marco; Pollet, Lucien; Racz, Attila; Sakulin, Hannes; Schwick, Christoph; Sumorok, Konstanty; Suzuki, Ichiro; Tsirigkas, Dimitrios; Varela, Joao

    2006-01-01

    The CMS central DAQ system is built using commercial hardware (PCs and networking equipment), except for two components: the Front-end Readout Link (FRL) and the Fast Merger Module (FMM). The FRL interfaces the sub-detector specific front-end electronics to the central DAQ system in a uniform way. The FRL is a compact-PCI module with an additional PCI 64bit connector to host a Network Interface Card (NIC). On the sub-detector side, the data are written to the link using a FIFO-like protocol (SLINK64). The link uses the Low Voltage Differential Signal (LVDS) technology to transfer data with a throughput of up to 400 MBytes/s. The FMM modules collect status signals from the front-end electronics of the sub-detectors, merge and monitor them and provide the resulting signals with low latency to the first level trigger electronics. In particular, the throttling signals allow the trigger to avoid buffer overflows and data corruption in the front-end electronics when the data produced in the front-end exceeds the c...

  5. The DoubleChooz DAQ systems.

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    The Double Chooz (DC) reactor anti-neutrino experiment consists of a neutrino detector and a large area Outer Veto detector. A custom data-acquisition (DAQ) system written in Ada language for all the sub-detector in the neutrino detector systems and a generic object oriented data acquisition system for the Outer Veto detector were developed. Generic object-oriented programming was also used to support several electronic systems to be readout providing a simple interface for any new electronics to be added given its dedicated driver. The core electronics of the experiment is based on FADC electronics (500MHz sampling rate), therefore a data-reduction scheme has been implemented to reduce the data volume per trigger. A dynamic data-format was created to allow dynamic reduction of each trigger before data is written to disk. The decision is based on low level information that determines the relevance of each trigger. The DAQ is structured internally into two types of processors: several read-out processors readi...

  6. DZERO Level 3 DAQ/Trigger Closeout

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    The Tevatron Collider, located at the Fermi National Accelerator Laboratory, delivered its last 1.96 TeV proton-antiproton collisions on September 30th, 2011. The DZERO experiment continues to take cosmic data for final alignment for several more months . Since Run 2 started, in March 2001, all DZERO data has been collected by the DZERO Level 3 Trigger/DAQ System. The system is a modern, networked, commodity hardware trigger and data acquisition system based around a large central switch with about 60 front ends and 200 trigger computers. DZERO front end crates are VME based. Single Board Computer interfaces between detector data on VME and the network transport for the DAQ system. Event flow is controlled by the Routing Master which can steer events to clusters of farm nodes based on the low level trigger bits that fired. The farm nodes are multi-core commodity computer boxes, without special hardware, that run isolated software to make the final Level 3 trigger decision. Passed events are transferred to th...

  7. The HLT, DAQ and DCS TDR

    CERN Multimedia

    Wickens, F. J

    At the end of June the Trigger-DAQ community achieved a major milestone with the submission to the LHCC of the Technical Design Report (TDR) for DAQ, HLT and DCS. The first unbound copies were handed to the LHCC referees on the scheduled date of 30th June, this was followed a few days later by a limited print run which produced the first bound copies (see Figure 1). As had previously been announced both to the LHCC and the ATLAS Collaboration it was not possible on this timescale to give a complete validation of all of the aspects of the architecture in the TDR. So it had been agreed that further work would continue over the summer to provide more complete results for the formal review by the LHCC of the TDR in September. Thus there followed an intense programme of measurements and analysis: especially to provide results for HLT both in testbeds and for the event selection software itself; to provide additional information on scaling of the dataflow aspects; to provide first results on the new prototype ROBin...

  8. Experiences with the ALICE Mesos infrastructure

    Science.gov (United States)

    Berzano, D.; Eulisse, G.; Grigoraş, C.; Napoli, K.

    2017-10-01

    Apache Mesos is a resource management system for large data centres, initially developed by UC Berkeley, and now maintained under the Apache Foundation umbrella. It is widely used in the industry by companies like Apple, Twitter, and Airbnb and it is known to scale to 10 000s of nodes. Together with other tools of its ecosystem, such as Mesosphere Marathon or Metronome, it provides an end-to-end solution for datacenter operations and a unified way to exploit large distributed systems. We present the experience of the ALICE Experiment Offline & Computing in deploying and using in production the Apache Mesos ecosystem for a variety of tasks on a small 500 cores cluster, using hybrid OpenStack and bare metal resources. We will initially introduce the architecture of our setup and its operation, we will then describe the tasks which are performed by it, including release building and QA, release validation, and simple Monte Carlo production. We will show how we developed Mesos enabled components (called “Mesos Frameworks”) to carry out ALICE specific needs. In particular, we will illustrate our effort to integrate Work Queue, a lightweight batch processing engine developed by University of Notre Dame, which ALICE uses to orchestrate release validation. Finally, we will give an outlook on how to use Mesos as resource manager for DDS, a software deployment system developed by GSI which will be the foundation of the system deployment for ALICE next generation Online-Offline (O2).

  9. Heavy flavour in ALICE

    CERN Document Server

    Pillot, Philippe

    2008-01-01

    Open heavy flavours and heavy quarkonium states are expected to provide essential informa- tion on the properties of the strongly interacting system fo rmed in the early stages of heavy-ion collisions at very high energy density. Such probes are espe cially promising at LHC energies where heavy quarks (both c and b) are copiously produced. The ALICE detector shall measure the production of open heavy flavours and heavy quarkonium st ates in both proton-proton and heavy-ion collisions at the LHC. The expected performances of ALICE for heavy flavour physics is discussed based on the results of simulation studies on a s election of benchmark channels

  10. Central Diffraction in ALICE

    CERN Document Server

    Schicker, R

    2012-01-01

    The ALICE experiment at the Large Hadron Collider (LHC) at CERN consists of a central barrel, a muon spectrometer and of additional detectors for trigger and event classification purposes. The low transverse momentum threshold of the central barrel gives ALICE a unique opportunity to study the low mass sector of central production at the LHC. I will report on first analysis results of meson production in double gap events in minimum-bias proton-proton collisions at sqrt{s} = 7 TeV, and will describe a dedicated double gap trigger for future data taking.

  11. The ALICE Pixel Detector

    International Nuclear Information System (INIS)

    Mercado-Perez, Jorge

    2002-01-01

    The present document is a brief summary of the performed activities during the 2001 Summer Student Programme at CERN under the Scientific Summer at Foreign Laboratories Program organized by the Particles and Fields Division of the Mexican Physical Society (Sociedad Mexicana de Fisica). In this case, the activities were related with the ALICE Pixel Group of the EP-AIT Division, under the supervision of Jeroen van Hunen, research fellow in this group. First, I give an introduction and overview to the ALICE experiment; followed by a description of wafer probing. A brief summary of the test beam that we had from July 13th to July 25th is given as well

  12. The ALICE High Level Trigger: status and plans

    CERN Document Server

    Krzewicki, Mikolaj; Gorbunov, Sergey; Breitner, Timo; Lehrbach, Johannes; Lindenstruth, Volker; Berzano, Dario

    2015-01-01

    The ALICE High Level Trigger (HLT) is an online reconstruction, triggering and data compression system used in the ALICE experiment at CERN. Unique among the LHC experiments, it extensively uses modern coprocessor technologies like general purpose graphic processing units (GPGPU) and field programmable gate arrays (FPGA) in the data flow. Realtime data compression is performed using a cluster finder algorithm implemented on FPGA boards. These data, instead of raw clusters, are used in the subsequent processing and storage, resulting in a compression factor of around 4. Track finding is performed using a cellular automaton and a Kalman filter algorithm on GPGPU hardware, where both CUDA and OpenCL technologies can be used interchangeably. The ALICE upgrade requires further development of online concepts to include detector calibration and stronger data compression. The current HLT farm will be used as a test bed for online calibration and both synchronous and asynchronous processing frameworks already before t...

  13. ALICE Photon Multiplicity Detector

    CERN Multimedia

    Nayak, T

    2013-01-01

    Photon Multiplicity Detector (PMD) measures the multiplicity and spatial distribution of photons in the forward region of ALICE on a event-by-event basis. PMD is a pre-shower detector having fine granularity and full azimuthal coverage in the pseudo-rapidity region 2.3 < η < 3.9.

  14. ALICE-ARC integration

    DEFF Research Database (Denmark)

    Anderlik, Csaba; Gregersen, Anders Rhod; Kleist, Josva

    2008-01-01

    Data Grid Facility (NDGF). In this paper we will present our approach to integrate AliEn and ARC, in the sense that ALICE data management and job processing can be carried out on the NDGF infrastructure, using the client tools available in AliEn. The interoperation has two aspects, one is the data...

  15. ALICE Vzero Detector

    CERN Multimedia

    Cheynis, B

    2013-01-01

    ALICE is the only experiment at CERN specifically designed to study the Quark-Gluon Plasma, the hot and dense matter which is created in ultra relativistic heavy-ion collisions. - VZERO-A (CINVESTAV-UNAM Mexico): 2.8 328 cm away from Interaction Point - VZERO-C (IPN Lyon): -3.6 88 cm away from Interaction Point

  16. ALICE installs its TPC

    CERN Multimedia

    2007-01-01

    The ALICE time projection chamber has been transported to the experimental cavern. The handling of this extremely fragile detector was a long and delicate process. The lorry transporting the TPC took one hour to travel from the assembly hall to the access shaft...200 metres away.The TPC was lowered into the ALICE experimental cavern with extreme care. The gap between the structure and the shaft wall was only 10 centimetres! For ALICE the year started with a flurry of activity...but at a snail's pace. On 8 January, the day CERN reopened after the end-of-year break, teams from ALICE and the TS Department began the transportation of the experiment's time projection chamber (TPC), the largest ever built. This 5-metre long and 5-m diameter cylinder was transported from the clean room where it had been assembled to the experimental cavern. The 300-metre journey took no less than four days! Since the TPC is an extremely fragile object, the utmost precautions were exercised in its transportation. The TPC, which is d...

  17. ALICE Silicon Strip Detector

    CERN Multimedia

    Nooren, G

    2013-01-01

    The Silicon Strip Detector (SSD) constitutes the two outermost layers of the Inner Tracking System (ITS) of the ALICE Experiment. The SSD plays a crucial role in the tracking of the particles produced in the collisions connecting the tracks from the external detectors (Time Projection Chamber) to the ITS. The SSD also contributes to the particle identification through the measurement of their energy loss.

  18. First ALICE detectors installed!

    CERN Multimedia

    2006-01-01

    Detectors to track down penetrating muon particles are the first to be placed in their final position in the ALICE cavern. The Alice muon spectrometer: in the foreground the trigger chamber is positioned in front of the muon wall, with the dipole magnet in the background. After the impressive transport of its dipole magnet, ALICE has begun to fill the spectrometer with detectors. In mid-July, the ALICE muon spectrometer team achieved important milestones with the installation of the trigger and the tracking chambers of the muon spectrometer. They are the first detectors to be installed in their final position in the cavern. All of the eight half planes of the RPCs (resistive plate chambers) have been installed in their final position behind the muon filter. The role of the trigger detector is to select events containing a muon pair coming, for instance, from the decay of J/ or Y resonances. The selection is made on the transverse momentum of the two individual muons. The internal parts of the RPCs, made o...

  19. Overview of DAQ developments for the CBM experiment

    Energy Technology Data Exchange (ETDEWEB)

    Emschermann, David [GSI Helmholtzzentrum fuer Schwerionenforschung GmbH (Germany); Collaboration: CBM-Collaboration

    2015-07-01

    The Compressed Baryonic Matter experiment (CBM) at the future Facility for Antiproton and Ion Research (FAIR) is a a fixed-target setup operating at very high interaction rates up to 10 MHz. The high rate capability can be achieved with fast and radiation hard detectors equipped with free-streaming readout electronics. A high-speed data acquisition (DAQ) system will forward data volumes of up to 1 TB/s from the CBM cave to the first level event selector (FLES), located 400 m apart. This presentation showcases recent developments of DAQ components for CBM. We highlight the anticipated DAQ setup for beam tests scheduled for the end of 2015.

  20. The TOTEM DAQ based on the Scalable Readout System (SRS)

    Science.gov (United States)

    Quinto, Michele; Cafagna, Francesco S.; Fiergolski, Adrian; Radicioni, Emilio

    2018-02-01

    The TOTEM (TOTal cross section, Elastic scattering and diffraction dissociation Measurement at the LHC) experiment at LHC, has been designed to measure the total proton-proton cross-section and study the elastic and diffractive scattering at the LHC energies. In order to cope with the increased machine luminosity and the higher statistic required by the extension of the TOTEM physics program, approved for the LHC's Run Two phase, the previous VME based data acquisition system has been replaced with a new one based on the Scalable Readout System. The system features an aggregated data throughput of 2GB / s towards the online storage system. This makes it possible to sustain a maximum trigger rate of ˜ 24kHz, to be compared with the 1KHz rate of the previous system. The trigger rate is further improved by implementing zero-suppression and second-level hardware algorithms in the Scalable Readout System. The new system fulfils the requirements for an increased efficiency, providing higher bandwidth, and increasing the purity of the data recorded. Moreover full compatibility has been guaranteed with the legacy front-end hardware, as well as with the DAQ interface of the CMS experiment and with the LHC's Timing, Trigger and Control distribution system. In this contribution we describe in detail the architecture of full system and its performance measured during the commissioning phase at the LHC Interaction Point.

  1. Applications of CORBA in the ATLAS prototype DAQ

    CERN Document Server

    Jones, R; Mapelli, Livio P; Ryabov, Yu

    2000-01-01

    This paper presents the experience of using the Common Object Request Broker Architecture (CORBA) in the ATLAS prototype DAQ project. Many communication links in the DAQ system have been designed and implemented using the CORBA standard. A public domain package, called Inter-Language Unification (ILU) has been used to implement CORBA based communications between DAQ components in a local area network (LAN) of heterogeneous computers. The CORBA Naming Service provides the principal mechanism through which most clients of an ORE-based system locate objects that they intend to use. In our project, conventions are employed that meaningfully partition the name space of the Naming Service according to divisions in the DAQ system itself. The Inter Process Communication (IPC) package, implemented in C++ on the top of CORBA/ILU, incorporates this facility and hides the details of the naming schema is described. The development procedure and environment for remote database access using IPC is described. Various end-use...

  2. FPGAs for next gen DAQ and Computing systems at CERN

    CERN Multimedia

    CERN. Geneva

    2016-01-01

    The need for FPGAs in DAQ is a given, but newer systems needed to be designed to meet the substantial increase in data rate and the challenges that it brings. FPGAs are also power efficient computing devices. So the work also looks at accelerating HEP algorithms and integration of FPGAs with CPUs taking advantage of programming models like OpenCL. Other explorations involved using OpenCL to model a DAQ system.

  3. The ALICE pixel detector

    CERN Document Server

    Mercado Perez, J

    2002-01-01

    The present document is a brief summary of the performed activities during the 2001 Summer Student Programme at CERN under the Scientific Summer at Foreign Laboratories Program organized by the Particles and Fields Division of the Mexican Physical Society (Sociedad Mexicana de Fisica). In this case, the activities were related with the ALICE Pixel Group of the EP-AIT Division, under the supervision of Jeroen van Hunen, research fellow in this group. First, I give an introduction and overview to the ALICE experiment; followed by a description of wafer probing. A brief summary of the test beam that we had from July 13th to July 25th is given as well. (3 refs).

  4. ALICE photon spectrometer crystals

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    Members of the mechanical assembly team insert the last few crystals into the first module of ALICE's photon spectrometer. These crystals are made from lead-tungstate, a crystal as clear as glass but with nearly four times the density. When a high-energy particle passes through one of these crystals it will scintillate, emitting a flash of light allowing the energy of photons, electrons and positrons to be measured.

  5. ALICE comes to life

    CERN Multimedia

    2002-01-01

    On 26 March, a first major part of the ALICE detector arrived at CERN: one of the four cylinders in composite material for the Time Projection Chamber (TPC). The construction of the TPC 'field cage' (the structure that defines the configuration of the electrical field of the TPC) is the fruit of exceptional collaboration between CERN and the Austrian manufacturer Fischer Advanced Composite Components (Fischer ACC).

  6. ALICE dipole and decoration

    CERN Multimedia

    Maximilien Brice

    2004-01-01

    The ALICE cavern receives a painting made specially to mark the 50th anniversary of CERN that is mounted on the L3 solenoid magnet, reused from the LEP experiment that ran from 1989 to 2000. The dipole, which is cooled by demineralised water, will bend the path of muons that leave the huge rectangular solenoid. These muons are heavy electrons that interact less with matter allowing them to be studied at large distances from the interaction point.

  7. ALICE on the move

    CERN Multimedia

    CERN Bulletin

    2011-01-01

    A new management, new modules for its sub-detectors and an increased capacity to probe the properties of the quark-gluon plasma. The new year bodes well for ALICE and ion physics as quarks and gluons prepare to unveil their most profound mysteries.   Installation of one of the new EMCal modules in the detector. Paolo Giubellino, the new ALICE spokesperson, talks with enthusiasm about what has already been done by the ALICE collaboration and what is yet to come. He has recently taken over from Jurgen Schukraft, who led the collaboration from its earliest beginnings. “We had a very exciting first year of operation, with many interesting results coming up in a very short space of time,” says Giubellino, a heavy-ion-physics expert from the Italian National Institute for Nuclear Physics (see box for details). “The Christmas technical stop wasn’t a break for us as we upgraded the detector, completing the installation of the electromagnetic calorimeter (E...

  8. The ALICE TPC Upgrad

    Science.gov (United States)

    Castro, Andrew; Alice-Usa Collaboration; Alice-Tpc Collaboration

    2017-09-01

    The Time Projection Chamber (TPC) currently used for ALICE (A Large Ion Collider Experiment at CERN) is a gaseous tracking detector used to study both proton-proton and heavy-ion collisions at the Large Hadron Collider (LHC) In order to accommodate the higher luminosit collisions planned for the LHC Run-3 starting in 2021, the ALICE-TPC will undergo a major upgrade during the next LHC shut down. The TPC is limited to a read out of 1000 Hz in minimum bias events due to the intrinsic dead time associated with back ion flow in the multi wire proportional chambers (MWPC) in the TPC. The TPC upgrade will handle the increase in event readout to 50 kHz for heavy ion minimum bias triggered events expected with the Run-3 luminosity by switching the MWPCs to a stack of four Gaseous Electron Multiplier (GEM) foils. The GEM layers will combine different hole pitches to reduce the dead time while maintaining the current spatial and energy resolution of the existing TPC. Undertaking the upgrade of the TPC represents a massive endeavor in terms of design, production, construction, quality assurance, and installation, thus the upgrade is coordinated over a number of institutes worldwide. The talk will go over the physics motivation for the upgrade, the ALICE-USA contribution to the construction of Inner Read Out Chambers IROCs, and QA from the first chambers built in the U.S

  9. Pentaquark searches with ALICE

    CERN Document Server

    Bobulska, Dana

    2016-01-01

    In this report we present the results of the data analysis for searching for possible invariant mass signals from pentaquarks in the ALICE data. Analysis was based on filtered data from real p-Pb events at psNN=5.02 TeV collected in 2013. The motivation for this project was the recent discovery of pentaquark states by the LHCb collaboration (c ¯ cuud resonance P+ c ) [1]. The search for similar not yet observed pentaquarks is an interesting research topic [2]. In this analysis we searched for a s ¯ suud pentaquark resonance P+ s and its possible decay channel to f meson and proton. The ALICE detector is well suited for the search of certain candidates thanks to its low material budget and strong PID capabilities. Additionally we might expect the production of such particles in ALICE as in heavy-ion and proton-ion collisions the thermal models describes well the particle yields and ratios [3]. Therefore it is reasonable to expect other species of hadrons, including also possible pentaquarks, to be produced w...

  10. ALICE-ARC integration

    International Nuclear Information System (INIS)

    Anderlik, C; Gregersen, A R; Kleist, J; Peters, A; Saiz, P

    2008-01-01

    AliEn or Alice Environment is the Grid middleware developed and used within the ALICE collaboration for storing and processing data in a distributed manner. ARC (Advanced Resource Connector) is the Grid middleware deployed across the Nordic countries and gluing together the resources within the Nordic Data Grid Facility (NDGF). In this paper we will present our approach to integrate AliEn and ARC, in the sense that ALICE data management and job processing can be carried out on the NDGF infrastructure, using the client tools available in AliEn. The inter-operation has two aspects, one is the data management part and the second the job management aspect. The first aspect was solved by using dCache across NDGF to handle data. Therefore, we will concentrate on the second part. Solving it, was somewhat cumbersome, mainly due to the different computing models employed by AliEn and ARC. AliEN uses an Agent based pull model while ARC handles jobs through the more 'traditional' push model. The solution comes as a module implementing the functionalities necessary to achieve AliEn job submission and management to ARC enabled sites

  11. Jet quenching at ALICE

    International Nuclear Information System (INIS)

    Bianchi, Nicola

    2007-01-01

    RHIC results on leading hadron suppression indicate that the jets produced in hard processes are strongly quenched by the dense medium created in heavy ion collisions. Most of the energy lost by the leading parton remains within the jet cone, but several questions on the medium modification of the jet structure have not been addressed. These include the longitudinal and transverse structures of the quenched jet, the associated radiation observables, and the dependence on the parton flavor. These topics will be studied by ALICE thanks to both the robustness of its tracking and the charged particle identification system. Large medium effects are expected in both the low pt and in the high pt regions. To make ALICE better suited for jet physics, the performances on high p t particles and jets can be significantly improved by completing the present set-up with a large Electromagnetic Calorimeter (EmCal). This will significantly improve the resolution on the jet energy and on the particle composition (with the detection of both charged and neutral particles). It will also allow to calibrate the jet energy by measuring the high energy photon emitted in the opposite direction. EmCal will be used to trigger on the jet energy itself, thus allowing a significant improvement of the statistics achievable for jets of high energy. Finally, due too both the γ/π 0 and the electron/hadron discrimination, EmCal will enhance the ALICE capabilities at high p t for direct photons and heavy quarks measurements

  12. Alice in Danceland

    Directory of Open Access Journals (Sweden)

    Fabio Ciambella

    2012-12-01

    Full Text Available The purpose of this paper is to present an unexplored case study in the field of the studies on adaptation: the dance in Alice's Adventures in Wonderland (1865 by Lewis Carroll and its transformations during the transmodalization. In particular the two most popular film adaptations of the novel of the Victorian writer will be presented and analysed: the cartoon produced by Disney in 1951 and the 2010 film directed by the Californian director Tim Burton. If in Alice's Adventures in Wonderland Carroll introduce a dance performed by some lobsters (precisely in chapter X that is titled "The Lobster Quadrille", in the Disney's masterpiece there is no trace either of lobsters, turtles or griffins. Paradoxically, dancing in the cartoon is a recurring motif, which is the background to the vicissitudes of the protagonist from the beginning to the end. The viewer of Burton’s Alice will be even much more shocked by the presence of the dance in two specific moments of the film – at the beginning and at the end – which are not present nor in the hypotext, nor in its Twentieth-century adaptation. In other words, although the dance is present in the three works, it never appears at the same time.

  13. ALICE: ARC integration

    CERN Document Server

    Anderlik, C; Kleist, J; Peters, A; Saiz, P

    2008-01-01

    AliEn or Alice Environment is the Grid middleware developed and used within the ALICE collaboration for storing and processing data in a distributed manner. ARC (Advanced Resource Connector) is the Grid middleware deployed across the Nordic countries and gluing together the resources within the Nordic Data Grid Facility (NDGF). In this paper we will present our approach to integrate AliEn and ARC, in the sense that ALICE data management and job processing can be carried out on the NDGF infrastructure, using the client tools available in AliEn. The inter-operation has two aspects, one is the data management part and the second the job management aspect. The first aspect was solved by using dCache across NDGF to handle data. Therefore, we will concentrate on the second part. Solving it, was somewhat cumbersome, mainly due to the different computing models employed by AliEn and ARC. AliEN uses an Agent based pull model while ARC handles jobs through the more 'traditional' push model. The solution comes as a modu...

  14. The ALICE Dimuon Spectrometer High Level Trigger

    CERN Document Server

    Becker, B; Cicalo, Corrado; Das, Indranil; de Vaux, Gareth; Fearick, Roger; Lindenstruth, Volker; Marras, Davide; Sanyal, Abhijit; Siddhanta, Sabyasachi; Staley, Florent; Steinbeck, Timm; Szostak, Artur; Usai, Gianluca; Vilakazi, Zeblon

    2009-01-01

    The ALICE Dimuon Spectrometer High Level Trigger (dHLT) is an on-line processing stage whose primary function is to select interesting events that contain distinct physics signals from heavy resonance decays such as J/psi and Gamma particles, amidst unwanted background events. It forms part of the High Level Trigger of the ALICE experiment, whose goal is to reduce the large data rate of about 25 GB/s from the ALICE detectors by an order of magnitude, without loosing interesting physics events. The dHLT has been implemented as a software trigger within a high performance and fault tolerant data transportation framework, which is run on a large cluster of commodity compute nodes. To reach the required processing speeds, the system is built as a concurrent system with a hierarchy of processing steps. The main algorithms perform partial event reconstruction, starting with hit reconstruction on the level of the raw data received from the spectrometer. Then a tracking algorithm finds track candidates from the recon...

  15. Radiation Tolerance Qualification Tests of the Final Source Interface Unit for the ALICE Experiment

    CERN Document Server

    Dénes, E; Futó, E; Kerék, A; Kiss, T; Molnár, J; Novák, D; Soós, C; Tölyhi, T; Van de Vyvre, P

    2007-01-01

    The ALICE Detector Data Link (DDL) is a high-speed optical link designed to interface the readout electronics of ALICE sub-detectors to the DAQ computers. The Source Interface Unit (SIU) of the DDL will operate in radiation environment. Previous tests showed that a configuration loss of SRAM-based FPGA devices may happen and the frequency of undetected data errors in the FPGA user memory area is also not acceptable. Therefore, we redesigned the SIU card using another FPGA based on flash technology. In order to detect bit errors in the user memory we added parity check logic to the design. The new SIU has been extensively tested using neutron and proton irradiation to verify its radiation tolerance. In this paper we summarize the design changes, introduce the final design, and the results of the radiation tolerance measurements on the final card.

  16. ALICE doffs hat to two companies

    CERN Multimedia

    2007-01-01

    During the fifth annual ALICE Industrial Awards ceremony, the ALICE Collaboration honoured two companies for their outstanding contributions to the construction of the experiment.For the past five years, the ALICE collaboration has been presenting its industrial partners with awards for meeting demanding or unusual requirements, for excellence in design or execution, for delivery on-time and on-budget and for outstanding cooperation. This year, on 9 March, ALICE presented awards to two companies for their exceptional performance. From left to right: Kees Oskamp (ALICE SSD), Arie de Haas (ALICE SSD), Gert-Jan Nooren (ALICE SSD), Shon Shmuel (FIBERNET), Yehuda Mor-Yosef (FIBERNET), Hans Boggild (ALICE), Jurgen Schukraft (ALICE Spokesperson), Catherine Decosse (ALICE) and Jean-Robert Lutz (ALICE SSD). FIBERNET Ltd., based in Yokneam, Israel, was rewarded for the excellent and timely assembly of the Silicon Strip Detector boards (SSD) of the Inner Tracking System with cable connections. Special low-mass cables, ...

  17. The ALICE forward multiplicity detector

    DEFF Research Database (Denmark)

    Holm Christensen, Christian; Gulbrandsen, Kristjan; Sogaard, Carsten

    2007-01-01

    The ALICE Forward Multiplicity Detector (FMD) is a silicon strip detector with 51,200 strips arranged in 5 rings, covering the range $-3.4......The ALICE Forward Multiplicity Detector (FMD) is a silicon strip detector with 51,200 strips arranged in 5 rings, covering the range $-3.4...

  18. Simple models with ALICE fluxes

    CERN Document Server

    Striet, J

    2000-01-01

    We introduce two simple models which feature an Alice electrodynamics phase. In a well defined sense the Alice flux solutions we obtain in these models obey first order equations similar to those of the Nielsen-Olesen fluxtube in the abelian higgs model in the Bogomol'nyi limit. Some numerical solutions are presented as well.

  19. ALICE honours two Italian suppliers

    CERN Multimedia

    2006-01-01

    During the ALICE week held in Bologna from 19 to 23 June, the Collaboration recognized two of its top suppliers. From left to right: Robert Terpin (MIPOT), Pier Luigi Bellutti (ITC), Andrea Zanotti, President of ITC, Luciano Bosisio (Trieste University), Gennady Zinovjev (Kiev), Catherine Decosse (CERN), Lodovico Riccati, ALICE Collaboration Board Chair (INFN Torino), Paolo Giubellino (INFN Torino), Mario Zen, Director of ITC, Maurizio Boscardin (ITC), Paolo Tonella (ITC), Jurgen Schukraft, ALICE Spokesperson (CERN), Giacomo Vito Margagliotti (Trieste University), Nevio Grion (INFN Trieste), Marco Bregant (INFN Trieste). Front row from left to right: Paolo Traverso (ITC), Federico Carminati, ALICE Computing Project Leader (CERN), and Jean-Robert Lutz, ITS-SSD Project leader (IPHC Strasbourg). It is in the picturesque city of Bologna that the ALICE Collaboration has rewarded two Italian suppliers, Istituto Trentino di Cultura ITC-irst (Trento) and MIPOT (Cormons), both involved in the construction of the Sili...

  20. Jet physics in ALICE

    International Nuclear Information System (INIS)

    Loizides, C.A.

    2005-01-01

    The ALICE experiment is one of the experiments currently prepared for the Large Hadron Collider (LHC) at CERN, Geneva, starting operation end of 2007. ALICE is dedicated to the research on nucleus-nucleus collisions at ultra-relativistic energies, which addresses the properties of strongly interacting matter under varying conditions of high density and temperature. The conditions provided at the LHC allow significant qualitative improvement with respect to previous studies. In particular, energetic probes, light quarks and gluons, will be abundantly produced. These probes might be identified by their fragmentation into correlated particles, so called jets, of high enough energy to allow full reconstruction of jet properties; even in the underlying heavy-ion environment. Understanding the dependence of high-energy jet production and fragmentation influenced by the dense medium created in the collision region is an open field of active research. Generally, one expects energy loss of the probes due to medium-induced gluon radiation. It is suggested that hadronization products of these, rather soft gluons may be contained within the jet emission cone, resulting in a modification of the characteristic jet fragmentation, as observed via longitudinal and transverse momentum distributions with respect to the direction of the initial parton, as well as of the multiplicity distributions arising from the jet fragmentation. Particle momenta parallel to the jet axis are softened (jet quenching), while transverse to it increased (transverse heating). The present thesis studies the capabilities of the ALICE detectors to measure these jets and quantifies obtainable rates and the quality of jet reconstruction, in both proton-proton and lead-lead collisions at the LHC. In particular, it is addressed whether modification of the jet fragmentation can be detected within the high-particle-multiplicity environment of central lead-lead collisions. (orig.)

  1. Particle correlations at ALICE

    Energy Technology Data Exchange (ETDEWEB)

    Erazmus, B.; Lednicky, R.; Lyuboshitz, V.; Martin, L.; Mikhailov, K.; Pluta, J.; Sinyukov, Yu.; Stavinsky, A.; Werner, K

    1998-12-31

    The ability of the ALICE detector for determination of the space-time characteristics of particle production in heavy-ion collisions at LHC from measurements of the correlation functions of identical and non-identical particles at small relative velocities is discussed. The possibility to use the correlations of non-identical particles for a direct determination of the delays in emission of various particle species at time scales as small as 10{sup -23} s is demonstrated. The influence of the multi-boson effects on pion multiplicities, single-pion spectra and two-pion correlation functions is discussed. (author) 63 refs.

  2. Data science in ALICE

    CERN Multimedia

    CERN. Geneva

    2015-01-01

    ALICE is the LHC experiment dedicated to the study of Heavy Ion collisions. In particular, the detector features low momentum tracking and vertexing, and comprehensive particle identification capabilities. In a single central heavy ion collision at the LHC, thousands of particles per unit rapidity are produced, making the data volume, track reconstruction and search of rare signals particularly challenging. Data science and machine learning techniques could help to tackle some of the challenges outlined above. In this talk, we will discuss some early attempts to use these techniques for the processing of detector signals and for the physics analysis. We will also highlight the most promising areas for the application of these methods.

  3. ALICE Transition Radiation Detector

    CERN Multimedia

    Pachmayer, Y

    2013-01-01

    The Transition Radiation Detector (TRD) is the main electron detector in ALICE. In conduction with the TPC and the ITS, it provides the necessary electron identification capability to study: - Production of light and heavy vector mesons as well as the continuum in the di-electron channel, - Semi leptonic decays of hadrons with open charm and open beauty via the single-electron channel using the displaced vertex information provided by the ITS, - Correlated DD and BB pairs via coincidences of electrons in the central barrel and muons in the forward muon arm, - Jets with high Pτ tracks in one single TRD stack.

  4. Trigger and DAQ in the Combined Test Beam

    CERN Multimedia

    Dobson, M; Padilla, C

    2004-01-01

    Introduction During the Combined Test Beam the latest prototype of the ATLAS Trigger and DAQ system is being used to support the data taking of all the detectors. Further development of the TDAQ subsystems benefits from the direct experience given by the integration in the beam test. Support of detectors for the Combined Test Beam All ATLAS detectors need their own detector-specific DAQ development. The readout electronics is controlled by a Readout Driver (ROD), custom-built for each detector. The ROD receives data for events that are accepted by the first level trigger. The detector-specific part of the DAQ system needs to control the ROD and to respond to commands of the central DAQ (e.g. to "Start" a run). The ROD module then sends event data to a Readout System (ROS), a PC with special receiver modules/buffers. At this point the data enters the realm of the ATLAS DAQ and High Level Trigger system, constructed from Linux PCs connected with gigabit Ethernet networks. Most ATLAS detectors, representing s...

  5. Upgrade of the ALICE Experiment: Letter of Intent

    CERN Document Server

    Abelev, B; Adamová, D; Aggarwal, M M; Aglieri Rinella, G; Agnello, M; Agostinelli, A; Agrawal, N; Ahammed, Z; Ahmad, N; Ahmad Masoodi, A; Ahmed, I; Ahn, S U; Ahn, S A; Aimo, I; Aiola, S; Ajaz, M; Akindinov, A; Aleksandrov, D; Alessandro, B; Alexandre, D; Alici, A; Alkin, A; Alme, J; Alt, T; Altini, V; Altinpinar, S; Altsybeev, I; Alves Garcia Prado, C; Anderssen, E C; Andrei, C; Andronic, A; Anguelov, V; Anielski, J; Anticic, T; Antinori, F; Antonioli, P; Aphecetche, L; Appelshäuser, H; Arbor, N; Arcelli, S; Armesto, N; Arnaldi, R; Aronsson, T; Arsene, I C; Arslandok, M; Augustinus, A; Averbeck, R; Awes, T C; Azmi, M D; Bach, M; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bairathi, V; Bala, R; Baldisseri, A; Baltasar Dos Santos Pedrosa, F; Bán, J; Baral, R C; Barbera, R; Barile, F; Barnaföldi, G G; Barnby, L S; Barret, V; Bartke, J; Basile, M; Bastian Van Beelen, J; Bastid, N; Basu, S; Bathen, B; Batigne, G; Battistin, M; Batyunya, B; Batzing, P C; Baudot, J; Baumann, C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Bellwied, R; Belmont-Moreno, E; Bencedi, G; Benettoni, M; Benotto, F; Beole, S; Berceanu, I; Bercuci, A; Berdnikov, Y; Berenyi, D; Berger, M E; Bertens, R A; Berzano, D; Besson, A; Betev, L; Bhasin, A; Bhati, A K; Bhatti, A; Bhattacharjee, B; Bhom, J; Bianchi, L; Bianchi, N; Bianchin, C; Bielcík, J; Bielcíková, J; Bilandzic, A; Bjelogrlic, S; Blanco, F; Blau, D; Blume, C; Bock, F; Boehmer, F V; Bogdanov, A; Boggild, H; Bogolyubsky, M; Boldizsár, L; Bombara, M; Book, J; Borel, H; Borissov, A; Bornschein, J; Borshchov, V N; Bortolin, C; Bossú, F; Botje, M; Botta, E; Böttger, S; Braun-Munzinger, P; Breitner, T; Broker, T A; Browning, T A; Broz, M; Bruna, E; Bruno, G E; Budnikov, D; Buesching, H; Bufalino, S; Buncic, P; Busch, O; Buthelezi, Z; Caffarri, D; Cai, X; Caines, H; Caliva, A; Calvo Villar, E; Camerini, P; Canoa Roman, V; Carena, F; Carena, W; Cariola, P; Carminati, F; Casanova Díaz, A; Castillo Castellanos, J; Casula, E A R; Catanescu, V; Caudron, T; Cavicchioli, C; Ceballos Sanchez, C; Cepila, J; Cerello, P; Chang, B; Chapeland, S; Charvet, J L; Chattopadhyay, S; Chattopadhyay, S; Cherney, M; Cheshkov, C; Cheynis, B; Chibante Barroso, V; Chinellato, D D; Chochula, P; Chojnacki, M; Choudhury, S; Christakoglou, P; Christensen, C H; Christiansen, P; Chujo, T; Chung, S U; Cicalo, C; Cifarelli, L; Cindolo, F; Claus, G; Cleymans, J; Colamaria, F; Colella, D; Coli, S; Colledani, C; Collu, A; Colocci, M; Conesa Balbastre, G; Conesa del Valle, Z; Connors, M E; Contin, G; Contreras, J G; Cormier, T M; Corrales Morales, Y; Cortese, P; Cortés Maldonado, I; Cosentino, M R; Costa, F; Crochet, P; Cruz Albino, R; Cuautle, E; Cunqueiro, L; Dainese, A; Dang, R; Danu, A; Da Riva, E; Das, D; Das, I; Das, K; Das, S; Dash, A; Dash, S; De, S; Decosse, C; Delagrange, H; Deloff, A; Dénes, E; D'Erasmo, G; de Barros, G O V; De Caro, A; de Cataldo, G; de Cuveland, J; De Falco, A; De Gruttola, D; De Marco, N; De Pasquale, S; De Robertis, G; De Roo, K; de Rooij, R; Diaz Corchero, M A; Dietel, T; Divià, R; Di Bari, D; Di Liberto, S; Di Mauro, A; Di Nezza, P; Djuvsland, o; Dobrin, A; Dobrowolski, T; Domenicis Gimenez, D; Dönigus, B; Dordic, O; Dorheim, S; Dorokhov, A; Doziere, G; Dubey, A K; Dubla, A; Ducroux, L; Dulinski, W; Dupieux, P; Dutta Majumdar, A K; Ehlers III, R J; Elia, D; Engel, H; Erazmus, B; Erdal, H A; Eschweiler, D; Espagnon, B; Estienne, M; Esumi, S; Evans, D; Evdokimov, S; Eyyubova, G; Fabris, D; Faivre, J; Falchieri, D; Fantoni, A; Fasel, M; Fehlker, D; Feldkamp, L; Felea, D; Feliciello, A; Feofilov, G; Ferencei, J; Fernández Téllez, A; Ferreiro, E G; Ferretti, A; Festanti, A; Figiel, J; Figueredo, M A S; Filchagin, S; Finogeev, D; Fionda, F M; Fiore, E M; Fiorenza, G; Floratos, E; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Franco, M; Frankenfeld, U; Fuchs, U; Furget, C; Fusco Girard, M; Gaardhoje, J J; Gagliardi, M; Gajanana, D; Gallio, M; Gangadharan, D R; Ganoti, P; Garabatos, C; Garcia-Solis, E; Gargiulo, C; Garishvili, I; Gerhard, J; Germain, M; Gheata, A; Gheata, M; Ghidini, B; Ghosh, P; Ghosh, S K; Gianotti, P; Giubilato, P; Giubellino, P; Gladysz-Dziadus, E; Glässel, P; Gomez, R; Gomez Marzoa, M; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Graczykowski, L K; Grajcarek, R; Greiner, L C; Grelli, A; Grigoras, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grinyov, B; Grion, N; Grondin, D; Grosse-Oetringhaus, J F; Grossiord, J -Y; Grosso, R; Guber, F; Guernane, R; Guerzoni, B; Guilbaud, M; Gulbrandsen, K; Gulkanyan, H; Gunji, T; Gupta, A; Gupta, R; H Khan, K; Haake, R; Haaland, o; Hadjidakis, C; Haiduc, M; Hamagaki, H; Hamar, G; Hanratty, L D; Hansen, A; Harris, J W; Hartmann, H; Harton, A; Hatzifotiadou, D; Hayashi, S; Heckel, S T; Heide, M; Helstrup, H; Hennes, E; Herghelegiu, A; Herrera Corral, G; Hess, B A; Hetland, K F; Hicks, B; Hillemanns, H; Himmi, A; Hippolyte, B; Hladky, J; Hristov, P; Huang, M; Hu-Guo, C; Humanic, T J; Hutter, D; Hwang, D S; Igolkin, S; Ijzermans, P; Ilkaev, R; Ilkiv, I; Inaba, M; Incani, E; Innocenti, G M; Ionita, C; Ippolitov, M; Irfan, M; Ivanov, M; Ivanov, V; Ivanytskyi, O; Jacholkowski, A; Jadlovsky, J; Jahnke, C; Jang, H J; Janik, M A; Jayarathna, P H S Y; Jena, S; Jimenez Bustamante, R T; Jones, P G; Jung, H; Junique, A; Jusko, A; Kalcher, S; Kalinak, P; Kalweit, A; Kamin, J; Kang, J H; Kaplin, V; Kar, S; Karasu Uysal, A; Karavichev, O; Karavicheva, T; Karpechev, E; Kebschull, U; Keidel, R; Keil, M; Ketzer, B; Khan, M Mohisin; Khan, P; Khan, S A; Khanzadeev, A; Kharlov, Y; Kileng, B; Kim, B; Kim, D; Kim, D W; Kim, D J; Kim, J S; Kim, M; Kim, M; Kim, S; Kim, T; Kirsch, S; Kisel, I; Kiselev, S; Kisiel, A; Kiss, G; Klay, J L; Klein, J; Klein-Bösing, C; Kluge, A; Knichel, M L; Knospe, A G; Kobdaj, C; Kofarago, M; Köhler, M K; Kollegger, T; Kolojvari, A; Kondratiev, V; Kondratyeva, N; Konevskikh, A; Kovalenko, V; Kowalski, M; Kox, S; Koyithatta Meethaleveedu, G; Kral, J; Králik, I; Kramer, F; Kravcáková, A; Krelina, M; Kretz, M; Krivda, M; Krizek, F; Krus, M; Krymov, E B; Kryshen, E; Krzewicki, M; Kucera, V; Kucheriaev, Y; Kugathasan, T; Kuhn, C; Kuijer, P G; Kulakov, I; Kumar, J; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kushpil, S; Kushpil, V; Kweon, M J; Kwon, Y; Ladron de Guevara, P; Lagana Fernandes, C; Lakomov, I; Langoy, R; Lara, C; Lardeux, A; Lattuca, A; La Pointe, S L; La Rocca, P; Lea, R; Lee, G R; Legrand, I; Lehnert, J; Lemmon, R C; Lenhardt, M; Lenti, V; Leogrande, E; Leoncino, M; León Monzón, I; Lesenechal, Y; Lévai, P; Li, S; Lien, J; Lietava, R; Lindal, S; Lindenstruth, V; Lippmann, C; Lisa, M A; Listratenko, O M; Ljunggren, H M; Lodato, D F; Loddo, F; Loenne, P I; Loggins, V R; Loginov, V; Lohner, D; Loizides, C; Lopez, X; López Torres, E; Lu, X -G; Luettig, P; Lunardon, M; Luo, J; Luparello, G; Luzzi, C; M Gago, A; M Jacobs, P; Ma, R; Maevskaya, A; Mager, M; Mahapatra, D P; Maire, A; Malaev, M; Maldonado Cervantes, I; Malinina, L; Mal'Kevich, D; Maltsev, N A; Malzacher, P; Mamonov, A; Manceau, L; Manko, V; Manso, F; Manzari, V; Mapelli, A; Marchisone, M; Mares, J; Margagliotti, G V; Margotti, A; Marín, A; Marin Tobon, C A; Markert, C; Marquard, M; Marras, D; Martashvili, I; Martin, N A; Martinengo, P; Martínez, M I; Martínez García, G; Martin Blanco, J; Martynov, Y; Mas, A; Masciocchi, S; Masera, M; Maslov, M; Masoni, A; Massacrier, L; Mastroserio, A; Mattiazzo, S; Matyja, A; Mayer, C; Mazer, J; Mazumder, R; Mazza, G; Mazzoni, M A; Meddi, F; Menchaca-Rocha, A; Mercado Pérez, J; Meres, M; Miake, Y; Mikhaylov, K; Milano, L; Milosevic, J; Mischke, A; Mishra, A N; Miskowiec, D; Mitu, C M; Mlynarz, J; Mohanty, B; Molnar, L; Mongelli, M; Montaño Zetina, L; Montes, E; Morando, M; Moreira De Godoy, D A; Morel, F; Moretto, S; Morreale, A; Morsch, A; Muccifora, V; Mudnic, E; Muhammad Bhopal, F; Muhuri, S; Mukherjee, M; Müller, H; Munhoz, M G; Murray, S; Musa, L; Musinsky, J; Nandi, B K; Nania, R; Nappi, E; Nattrass, C; Nayak, T K; Nazarenko, S; Nedosekin, A; Nicassio, M; Niculescu, M; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Nilsen, B S; Noferini, F; Nomokonov, P; Nooren, G; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Okatan, A; Olah, L; Oleniacz, J; Oliveira Da Silva, A C; Onderwaater, J; Oppedisano, C; Ortiz Velasquez, A; Oskarsson, A; Otwinowski, J; Oyama, K; Pachmayer, Y; Pachr, M; Pagano, P; Paic, G; Painke, F; Pajares, C; Pal, S K; Palmeri, A; Panati, S; Pant, D; Pantano, D; Papikyan, V; Pappalardo, G S; Park, W J; Passfeld, A; Pastore, C; Patalakha, D I; Paticchio, V; Paul, B; Pawlak, T; Peitzmann, T; Pereira Da Costa, H; Pereira De Oliveira Filho, E; Peresunko, D; Pérez Lara, C E; Peryt, W; Pesci, A; Pestov, Y; Petagna, P; Petrácek, V; Petran, M; Petris, M; Petrovici, M; Petta, C; Pham, H; Piano, S; Pikna, M; Pillot, P; Pinazza, O; Pinsky, L; Piyarathna, D B; Ploskon, M; Planinic, M; Pluta, J; Pochybova, S; Podesta-Lerma, P L M; Poghosyan, M G; Pohjoisaho, E H O; Polichtchouk, B; Poljak, N; Pop, A; Porteboeuf-Houssais, S; Porter, J; Pospisil, V; Potukuchi, B; Prasad, S K; Preghenella, R; Prino, F; Protsenko, M A; Pruneau, C A; Pshenichnov, I; Puddu, G; Puggioni, C; Punin, V; Putschke, J; Qvigstad, H; Rachevski, A; Raha, S; Rak, J; Rakotozafindrabe, A; Ramello, L; Raniwala, R; Raniwala, S; Räsänen, S S; Rascanu, B T; Rasson, J E; Rathee, D; Rauf, A W; Razazi, V; Read, K F; Real, J S; Redlich, K; Reed, R J; Rehman, A; Reichelt, P; Reicher, M; Reidt, F; Renfordt, R; Reolon, A R; Reshetin, A; Rettig, F; Revol, J -P; Reygers, K; Riabov, V; Ricci, R A; Richert, T; Richter, M; Riedler, P; Riegler, W; Riggi, F; Rivetti, A; Rocco, E; Rodríguez Cahuantzi, M; Rodriguez Manso, A; Roed, K; Rogochaya, E; Rohni, S; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossegger, S; Rossewij, M J; Rossi, A; Roudier, S; Rousset, J; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sacchetti, M; Sadovsky, S; Safarík, K; Sahlmuller, B; Sahoo, R; Sahu, P K; Saini, J; Salgado, C A; Salzwedel, J; Sambyal, S; Samsonov, V; Sanchez Castro, X; Sánchez Rodríguez, F J; sándor, L; Sandoval, A; Sano, M; Santagati, G; Santoro, R; Sarkar, D; Scapparone, E; Scarlassara, F; Scharenberg, R P; Schiaua, C; Schicker, R; Schipper, J D; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, P A; Scott, R; Segato, G; Seger, J E; Selyuzhenkov, I; Senyukhov, S; Seo, J; Serradilla, E; Sevcenco, A; Sgura, I; Shabetai, A; Shabratova, G; Shahoyan, R; Shangaraev, A; Sharma, N; Sharma, S; Shigaki, K; Shtejer, K; Sibiriak, Y; Siddhanta, S; Siemiarczuk, T; Silvermyr, D; Silvestre, C; Simatovic, G; Singaraju, R; Singh, R; Singha, S; Singhal, V; Sinha, B C; Sinha, T; Sitar, B; Sitta, M; Skaali, T B; Skjerdal, K; Smakal, R; Smirnov, N; Snellings, R J M; Snoeys, W; Sogaard, C; Soltz, R; Song, J; Song, M; Sooden, V; Soramel, F; Sorensen, S; Spacek, M; spalek, J; Spiriti, E; Sputowska, I; Spyropoulou-Stassinaki, M; Srivastava, B K; Stachel, J; Stan, I; Stefanek, G; Steinpreis, M; Stenlund, E; Steyn, G; Stiller, J H; Stocco, D; Stolpovskiy, M; Strmen, P; Suaide, A A P; Subieta Vasquez, M A; Sugitate, T; Suire, C; Suleymanov, M; suljic, M; Sultanov, R; sumbera, M; Sun, X; Susa, T; Symons, T J M; Szanto de Toledo, A; Szarka, I; Szczepankiewicz, A; Szymanski, M; Takahashi, J; Tangaro, M A; Tapia Takaki, J D; Tarantola Peloni, A; Tarazona Martinez, A; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terrevoli, C; Ter Minasyan, A; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Torii, H; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turchetta, R; Turrisi, R; Tveter, T S; Tymchuk, I T; Ulery, J; Ullaland, K; Uras, A; Usai, G L; Vajzer, M; Vala, M; Valencia Palomo, L; Valentino, V; Valin, I; Vallero, S; Vande Vyvre, P; Vannucci, L; Van Der Maarel, J; Van Hoorne, J W; van Leeuwen, M; Vargas, A; Varma, R; Vasileiou, M; Vasiliev, A; Vasta, P; Vechernin, V; Veldhoen, M; Velure, A; Venaruzzo, M; Vercellin, E; Vergara Limón, S; Verlaat, B; Vernet, R; Verweij, M; Vickovic, L; Viesti, G; Viinikainen, J; Vilakazi, Z; Villalobos Baillie, O; Vinogradov, A; Vinogradov, L; Vinogradov, Y; Virgili, T; Viyogi, Y P; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Vranic, D; Vrláková, J; Vulpescu, B; Vyushin, A; Wagner, B; Wagner, J; Wagner, V; Wang, M; Wang, Y; Watanabe, D; Weber, M; Wessels, J P; Westerhoff, U; Wiechula, J; Wikne, J; Wilde, M; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Winter, M; Xiang, C; Yaldo, C G; Yamaguchi, Y; Yang, H; Yang, P; Yang, S; Yano, S; Yasnopolskiy, S; Yi, J; Yin, Z; Yoo, I -K; Yushmanov, I; Zaccolo, V; Zach, C; Zaman, A; Zampolli, C; Zaporozhets, S; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zgura, I S; Zhalov, M; Zhang, F; Zhang, H; Zhang, X; Zhang, Y; Zhao, C; Zherebchevsky, V I; Zhou, D; Zhou, F; Zhou, Y; Zhu, H; Zhu, J; Zhu, X; Zichichi, A; Zimmermann, A; Zinovjev, G; Zoccarato, Y; Zynovyev, M; Zyzak, M; CERN. Geneva. The LHC experiments Committee; LHCC

    2014-01-01

    The long term goal of the ALICE experiment is to provide a precise characterization of the high-density, high-temperature phase of strongly interacting matter. To achieve this goal, high-statistics precision measurement are required. The general upgrade strategy for the ALICE detector is conceived to deal with this challenge with expected Pb-Pb interaction rates of up to 50 kHz aiming at an integrated luminosity of the order of 10 nb^-1. With the proposed timeline, starting the high-rate operation progressively after 2018 shutdown, the goals set up in our upgrade plans should be achieved collecting data until mid-2020's. In this document we present the main physics motivations for running the LHC with heavy ions at high luminosities and discuss the modifications and replacements needed in the ALICE detectors, the online systems and offline system. The schedule, cost estimate and organization of the upgrade programme are presented as well.

  6. ALICE Expert System

    CERN Document Server

    Ionita, C

    2014-01-01

    The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in dierent system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by reg...

  7. Protecting detectors in ALICE

    International Nuclear Information System (INIS)

    Lechman, M.; Augustinus, A.; Chochula, P.; Di Mauro, A.; Stig Jirden, L.; Rosinsky, P.; Schindler, H.; Cataldo, G. de; Pinazza, O.; Kurepin, A.; Moreno, A.

    2012-01-01

    ALICE (A Large Ion Collider Experiment) is one of the big LHC (Large Hadron Collider) experiments at CERN in Geneva. It is composed of many sophisticated and complex detectors mounted very compactly around the beam pipe. Each detector is a unique masterpiece of design, engineering and construction and any damage to it could stop the experiment for months or even for years. It is therefore essential that the detectors are protected from any danger and this is one very important role of the Detector Control System (DCS). One of the main dangers for the detectors is the particle beam itself. Since the detectors are designed to be extremely sensitive to particles they are also vulnerable to any excess of beam conditions provided by the LHC accelerator. The beam protection consists of a combination of hardware interlocks and control software and this paper will describe how this is implemented and handled in ALICE. Tools have also been developed to support operators and shift leaders in the decision making related to beam safety. The gained experiences and conclusions from the individual safety projects are also presented. (authors)

  8. The Latest from ALICE

    CERN Multimedia

    2009-01-01

    After intensive installation operations from October 2008 until July 2009 (see Bulletin 31/7/2009), ALICE started a full-detector cosmics run in August, which is scheduled to last until the end of October. In addition to the Silicon Pixel and ACORDE detectors, the latter specially built for triggering on cosmic muons, ALICE is now making extensive use of the trigger provided by the Time Of Flight array. The high granularity and the low noise (0.1 Hz/cm2) of the TOF MRPCs, combined with the large coverage (~150 m2), offers a wide range of trigger combinations. This extended cosmic run serves many purposes: to test the performance of each individual detector; to ensure their integration in the central Data Acquisition; to perform alignment and calibration; to check the reconstruction software; to fine-tune the tracking algorithms; and last but not least, to train the personnel for the long shifts ahead. More than 100 million events h...

  9. ALICE Expert System

    International Nuclear Information System (INIS)

    Ionita, C; Carena, F

    2014-01-01

    The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in different system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by regular shifters during the next data taking period

  10. FASTBUS readout system for the CDF DAQ upgrade

    International Nuclear Information System (INIS)

    Andresen, J.; Areti, H.; Black, D.

    1993-11-01

    The Data Acquisition System (DAQ) at the Collider Detector at Fermilab is currently being upgraded to handle a minimum of 100 events/sec for an aggregate bandwidth that is at least 25 Mbytes/sec. The DAQ System is based on a commercial switching network that has interfaces to VME bus. The modules that readout the front end crates (FASTBUS and RABBIT) have to deliver the data to the VME bus based host adapters of the switch. This paper describes a readout system that has the required bandwidth while keeping the experiment dead time due to the readout to a minimum

  11. Concepts and technologies used in contemporary DAQ systems

    CERN Multimedia

    CERN. Geneva

    2004-01-01

    based trigger processor and event building farms. We have also seen a shift from standard or proprietary bus systems used in event building to GigaBit networks and commodity components, such as PCs. With the advances in processing power, network throughput, and storage technologes, today's data rates in large experiments routinely reach hundreds of MegaBytes/s. We will present examples of contemporary DAQ systems from different experiments, try to identify or categorize new approaches, and will compare the performance and throughput of existing DAQ systems with the projected data rates of the LHC experiments to see how close we have come to accomplish these goals. We will also tr...

  12. Future of DAQ Frameworks and Approaches, and Their Evolution towards the Internet of Things

    Science.gov (United States)

    Neufeld, Niko

    2015-12-01

    Nowadays, a DAQ system is a complex network of processors, sensors and many other active devices. Historically, providing a framework for DAQ has been a very important role of host institutes of experiments. Reviewing evolution of such DAQ frameworks is a very interesting subject of the conference. “Internet of Things” is a recent buzz word but a DAQ framework could be a good example of IoT.

  13. ALICE honours two Italian suppliers

    CERN Multimedia

    2006-01-01

    From left to right: Robert Terpin (MIPOT), Pier Luigi Bellutti (ITC), Andrea Zanotti, President of ITC, Luciano Bosisio (Trieste University), Gennady Zinovjev (Kiev), Catherine Decosse (CERN), Lodovico Riccati, ALICE Collaboration Board Chair (INFN Torino), Paolo Giubellino (INFN Torino), Mario Zen, Director of ITC, Maurizio Boscardin (ITC), Paolo Tonella (ITC), Jurgen Schukraft, ALICE Spokesperson (CERN), Giacomo Vito Margagliotti (Trieste University), Nevio Grion (INFN Trieste), Marco Bregant (INFN Trieste) Front row from left to right: Paolo Traverso (ITC), Federico Carminati, ALICE Computing Project Leader (CERN), and Jean-Robert Lutz, ITS-SSD Project leader (IPHC Strasbourg).

  14. CERN Open Days 2013, Point 2 - ALICE: ALICE Experiment

    CERN Multimedia

    CERN Photolab

    2013-01-01

    Stand description: Visitors will be guided through the ALICE experiment, an extraordinary particle physics detector located at a depth of 80 meters below ground.  ALICE started up in 2008 to study the quark-gluon plasma, a state of matter that probably existed in the first moments of the universe. Visitors will also be able to walk inside the LHC tunnel, where superconducting magnets guide the beams of protons at unprecedented energies around the LHC. In addition to the underground visit, several ALICE physicists and engineers will be available to answer visitors' questions. On surface no restricted access  Above ground, scientific  and other kinds of shows will entertain the visitors to ALICE, even the youngest, throughout the day.

  15. ALICE Particle Identification

    CERN Document Server

    Hussein Ezzelarab, Nada

    2014-01-01

    During my stay at CERN, I have attended lectures mornings and worked on my research project under orienting guidance of my supervisors afternoons. The lectures were informative and pedagog- ically well-prepared and presented. Their contents was an excellent combination of theoretical and experimental topics in high-energy physics. Furthermore, I was privileged to visit the ALICE, CMS and LHCb detectors and the LINIAC accelerator. I have participated in workshop on ”MadGraph software”. I was furnished with excellent experiences and cultural exchanges with good colleagues from different countries. I got opportunities to know what the other students have done, in which projects they were involved and how they performed their scientific researches, especially regarding LHC data analysis. For my own project, I have to prove excellent experience with C++ and of course LINUX, ROOT and AliROOT. Tools such as Histograms, Graphs, Fitting, trees and many others were very essential. Furthermore, I am very proud getti...

  16. Latest results from ALICE

    CERN Document Server

    Scapparone, Eugenio

    2011-01-01

    In this paper selected results obtained by the ALICE experiment at the LHC will be presented. Data collected during the pp runs taken at sqrt(s)=0.9, 2.76 and 7 TeV and Pb-Pb runs at sqrt(s_NN)=2.76 TeV allowed interesting studies on the properties of the hadronic and nuclear matter: proton runs gave us the possibility to explore the ordinary matter at very high energy and up to very low pt, while Pb-Pb runs provided spectacular events where several thousands of particles produced in the interaction revealed how a very dense medium behaves, providing a deeper picture on the quark gluon plasma(QGP) chemical composition and dynamics.

  17. The ALICE TPC

    CERN Document Server

    Garabatos, C

    2004-01-01

    We describe the ALICE TPC, with emphasis on the design features which are driven by the physics requirements of the detector. In particular, the gas choice and composition, Ne-CO/sub 2/ Ý90-10¿, as well as the unprecedentedly high gain for a TPC (2*10/sup 40/), are direct consequences of the expected performance in the high- multiplicity environment of heavy-ion collisions at the LHC. The characteristics of this mixture are discussed and a viable way of improving the stability of detectors working under these conditions, namely the addition of nitrogen into the mixture, is presented. This results in a more effective Penning transfer of neon excited states onto ionisation of the quencher at no penalty for the charge transport and amplification properties.

  18. ALICE Masterclass on strangeness

    Directory of Open Access Journals (Sweden)

    Foka Panagiota

    2014-04-01

    Full Text Available An educational activity, the International Particle Physics Masterclasses, was developed by the International Particle Physics Outreach Group with the aim to bring the excitement of cutting-edge particle-physics research into the classroom. Thousands of pupils, every year since 2005, in many countries all over the world, are hosted in research centers or universities close to their schools and become “scientists for a day” as they are introduced to the mysteries of particle physics. The program of a typical day includes lectures that give insight to topics and methods of fundamental research followed by a “hands-on” session where the high-school students perform themselves measurements on real data from particle-physics experiments. The last three years data from the ALICE experiment at LHC were used. The performed measurement “strangeness enhancement” and the employed methodology are presented.

  19. First Physics Results from ALICE

    International Nuclear Information System (INIS)

    Peressounko, Dmitri; Castillo Castellanos, Javier; Belikov, Iouri

    2010-01-01

    ALICE is the LHC experiment dedicated to the study of heavy-ion collisions. The main purpose of ALICE is to investigate the properties of a state of deconfined nuclear matter, the Quark Gluon Plasma. Heavy flavour measurements will play a crucial role in this investigation. The physics programme of ALICE has started by studying proton-proton collisions at unprecedented high energies. We will present the first results on open heavy flavour and quarkonia in proton-proton collisions at √s = 7 TeV measured by the ALICE experiment at both mid- and forward-rapidities. We will conclude with the prospects for heavy flavour and quarkonium measurements in both proton-proton and nucleus-nucleus collisions. Also presented are first results of neutral meson reconstruction and its perspectives, as well as further physics studies. (author)

  20. ALICE EMCal Physics Performance Report

    CERN Document Server

    Abeysekara, U.; Aronsson, T.; Awes, T.; Badala, A.; Baumgart, S.; Bellwied, R.; Benhabib, L.; Bernard, C.; Bianchi, N.; Blanco, F.; Bortoli, Y.; Boswell, B.; Bourdaud, G.; Bourrion, O.; Boyer, B.; Brown, C.R.; Bruna, E.; Butterworth, J.; Caines, H.; Calvo Diaz Aldagalan, D.; Capitani, G.P.; Carcagno, Y.; Casanova Diaz, A.; Cherney, M.; Conesa Balbastre, G.; Cormier, T.M.; Cosentino, M.R.; Cunqueiro Mendez, L.; Delagrange, H.; Del Franco, M.; Dialinas, M.; Di Nezza, P.; Donoghue, A.; Elnimr, M.; Enokizono, A.; Estienne, M.; Faivre, J.; Fantoni, A.; Fenton-Olsen, B.; Fichera, F.; Figueredo, M.A.S.; Foglio, B.; Fresneau, S.; Fujita, J.; Furget, C.; Gadrat, S.; Garishvili, I.; Germain, M.; Giudice, N.; Gorbunov, Y.N.; Grimaldi, A.; Guernane, R.; Hadjidakis, C.; Hamblen, J.; Harris, J.W.; Hasch, D.; Heinz, M.; Hicks, B.; Hille, P.T.; Hornback, D.; Ichou, R.; Jacobs, P.; Jangal, S.; Jayananda, K.; Kalliokoski, T.; Kharlov, Y.; Klay, J.L.; Knospe, A.G.; Kox, S.; Kral, J.; Laloux, P.; LaPointe, S.; La Rocca, P.; Lewis, S.; Li, Q.; Librizzi, F.; Ma, R.; Madagodahettige Don, D.; Mao, Y.; Markert, C.; Martashvili, I.; Mayes, B.; Milletto, T.; Mlynarz, J.; Muccifora, V.; Mueller, H.; Munhoz, M.G.; Muraz, J.F.; Newby, J.; Nattrass, C.; Noto, F.; Novitzky, N.; Nilsen, B.S.; Odyniec, G.; Orlandi, A.; Palmeri, A.; Pappalardo, G.S.; Pavlinov, A.; Pesci, W.; Petrov, V.; Petta, C.; Pichot, P.; Pinsky, L.; Ploskon, M.; Pompei, F.; Pulvirenti, A.; Putschke, J.; Pruneau, C.A.; Rak, J.; Rasson, J.; Read, K.F.; Real, J.S.; Reolon, A.R.; Riggi, F.; Riso, J.; Ronchetti, F.; Roy, C.; Roy, D.; Salemi, M.; Salur, S.; Sano, M.; Scharenberg, R.P.; Sharma, M.; Silvermyr, D.; Smirnov, N.; Soltz, R.; Sorensen, S.; Sparti, V.; Srivastava, B.K.; Stutzmann, J.S.; Symons, J.; Tarazona Martinez, A.; Tarini, L.; Thomen, R.; Timmins, A.; Turvey, A.; van Leeuwen, M.; Vieira, R.; Viticchie, A.; Voloshin, S.; Vernet, R.; Wang, D.; Wang, Y.; Ward, R.M.

    2010-01-01

    The ALICE detector at the LHC (A Large Ion Collider Experiment) will carry out comprehensive measurements of high energy nucleus-nucleus collisions, in order to study QCD matter under extreme conditions and the phase transtion between confined matter and the Quark-Gluon Plasma (QGP). This report presents our current state of understanding of the Physics Performance of the large acceptance Electromagnetic Calorimeter (EMCal) in the ALICE central detector. The EMCal enhances ALICE’s capabilities for jet measurements. The EMCal enables triggering and full reconstruction of high energy jets in ALICE, and augments existing ALICE capabilities to measure high momentum photons and electrons. Combined with ALICE’s excellent capabilities to track and identify particles from very low pT to high pT , the EMCal enables a comprehensive study of jet interactions in the medium produced in heavy ion collisions at the LHC.

  1. Overview and future developments of the FPGA-based DAQ of COMPASS

    Energy Technology Data Exchange (ETDEWEB)

    Bai, Yunpeng; Huber, Stefan; Konorov, Igor; Levit, Dmytro [Physik-Department E18, Technische Universitaet Muenchen (Germany); Bodlak, Martin [Department of Low-Temperature Physics, Charles University Prague (Czech Republic); Frolov, Vladimir [European Organization for Nuclear Research - CERN (Switzerland); Jary, Vladimir; Virius, Miroslav [Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University (Czech Republic); Novy, Josef [European Organization for Nuclear Research - CERN (Switzerland); Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University (Czech Republic); Steffen, Dominik [Physik-Department E18, Technische Universitaet Muenchen (Germany); European Organization for Nuclear Research - CERN (Switzerland)

    2016-07-01

    COMPASS is a fixed-target experiment at the SPS accelerator at CERN dedicated to the study of hadron structure and spectroscopy. In 2014, an FPGA-based data acquisition system (FDAQ) was deployed. Its hardware event builder consisting of nine custom designed FPGA-cards replaced 30 distributed online computers and around 100 PCI cards. As a result, the new DAQ provides higher bandwidth and better reliability. By buffering the data, the system exploits the spill structure of the SPS averaging the maximum on-spill data rate of 1.5 GB/s over the whole SPS duty cycle. A modern run control software allows user-friendly monitoring and configuration of the hardware nodes of the event builder. From 2016, it is planned to wire all point-to-point high-speed links via a fully programmable crosspoint switch. The crosspoint switch will provide a fully customizable DAQ network topology between front-end electronics, the event building hardware, and the readout computers. It will therefore simplify compensation for hardware failure and improve load balancing.

  2. Gated integrator PXI-DAQ system for Thomson scattering diagnostics

    Energy Technology Data Exchange (ETDEWEB)

    Patel, Kiran, E-mail: kkpatel@ipr.res.in; Pillai, Vishal; Singh, Neha; Thomas, Jinto; Kumar, Ajai

    2017-06-15

    Gated Integrator (GI) PXI based data acquisition (DAQ) system has been designed and developed for the ease of acquiring fast Thomson Scattered signals (∼50 ns pulse width). The DAQ system consists of in-house designed and developed GI modules and PXI-1405 chassis with several PXI-DAQ modules. The performance of the developed system has been validated during the SST-1 campaigns. The dynamic range of the GI module depends on the integrating capacitor (C{sub i}) and the modules have been calibrated using 12 pF and 27 pF integrating capacitors. The developed GI module based data acquisition system consists of sixty four channels for simultaneous sampling using eight PXI based digitization modules having eight channels per module. The error estimation and functional tests of this unit are carried out using standard source and also with the fast detectors used for Thomson scattering diagnostics. User friendly Graphical User Interface (GUI) has been developed using LabVIEW on Windows platform to control and acquire the Thomson scattering signal. A robust, easy to operate and maintain with low power consumption, having higher dynamic range with very good sensitivity and cost effective DAQ system is developed and tested for the SST-1 Thomson scattering diagnostics.

  3. Applications of CORBA in the ATLAS prototype DAQ

    Science.gov (United States)

    Jones, R.; Kolos, S.; Mapelli, L.; Ryabov, Y.

    2000-04-01

    This paper presents the experience of using the Common Object Request Broker Architecture (CORBA) in the ATLAS prototype DAQ project. Many communication links in the DAQ system have been designed and implemented using the CORBA standard. A public domain package, called Inter-Language Unification (ILU) has been used to implement CORBA based communications between DAQ components in a local area network (LAN) of heterogeneous computers. The CORBA Naming Service provides the principal mechanism through which most clients of an ORE-based system locate objects that they intend to use. In our project, conventions are employed that meaningfully partition the name space of the Naming Service according to divisions in the DAQ system itself. The Inter Process Communication (IPC) package, implemented in C++ on the top of CORBA/ILU, incorporates this facility and hides the details of the naming schema is described. The development procedure and environment for remote database access using IPC is described. Various end-user interfaces have been implemented using the Java language that communicate with C++ servers via CORBA/ILU. To support such interfaces, a second implementation of IPC in Java has been developed. The design and implementation of such connections are described. An alternative CORBA implementation, ORBacus, has been evaluated and compared with ILU.

  4. The ALICE data quality monitoring system

    International Nuclear Information System (INIS)

    Haller, B von; Telesca, A; Chapeland, S; Carena, F; Carena, W; Barroso, V Chibante; Costa, F; Denes, E; Divià, R; Fuchs, U; Simonetti, G; Soós, C; Vyvre, P Vande

    2011-01-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online Data Quality Monitoring (DQM) is a key element of the Data Acquisition's software chain. It provide shifters with precise and complete information to quickly identify and overcome problems, and as a consequence to ensure acquisition of high quality data. DQM typically involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper describes the final design of ALICE'S DQM framework called AMORE (Automatic MOnitoRing Environment), as well as its latest and coming features like the integration with the offline analysis and reconstruction framework, a better use of multi-core processors by a parallelization effort, and its interface with the eLogBook. The concurrent collection and analysis of data in an online environment requires the framework to be highly efficient, robust and scalable. We will describe what has been implemented to achieve these goals and the procedures we follow to ensure appropriate robustness and performance. We finally review the wide range of usages people make of this framework, from the basic monitoring of a single sub-detector to the most complex ones within the High Level Trigger farm or using the Prompt Reconstruction and we describe the various ways of accessing the monitoring results. We conclude with our experience, before and after the LHC startup, when monitoring the data quality in a challenging environment.

  5. The ALICE data quality monitoring system

    Science.gov (United States)

    von Haller, B.; Telesca, A.; Chapeland, S.; Carena, F.; Carena, W.; Chibante Barroso, V.; Costa, F.; Denes, E.; Divià, R.; Fuchs, U.; Simonetti, G.; Soós, C.; Vande Vyvre, P.; ALICE Collaboration

    2011-12-01

    ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online Data Quality Monitoring (DQM) is a key element of the Data Acquisition's software chain. It provide shifters with precise and complete information to quickly identify and overcome problems, and as a consequence to ensure acquisition of high quality data. DQM typically involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper describes the final design of ALICE'S DQM framework called AMORE (Automatic MOnitoRing Environment), as well as its latest and coming features like the integration with the offline analysis and reconstruction framework, a better use of multi-core processors by a parallelization effort, and its interface with the eLogBook. The concurrent collection and analysis of data in an online environment requires the framework to be highly efficient, robust and scalable. We will describe what has been implemented to achieve these goals and the procedures we follow to ensure appropriate robustness and performance. We finally review the wide range of usages people make of this framework, from the basic monitoring of a single sub-detector to the most complex ones within the High Level Trigger farm or using the Prompt Reconstruction and we describe the various ways of accessing the monitoring results. We conclude with our experience, before and after the LHC startup, when monitoring the data quality in a challenging environment.

  6. The ALICE time machine

    Directory of Open Access Journals (Sweden)

    Ferretti Alessandro

    2013-09-01

    Full Text Available According to the Big Bang theory, the Universe was once in an extremely hot and dense state which expanded rapidly. In such a state the normal nuclear matter could not exist: it is believed that a few microsecond after big-bang the matter underwent a phase transition, from a state called Quark-Gluon Plasma (QGP to a hadron gas. Some of the unexplained features of the Universe could be explained by the QGP properties. One of the aims of the CERN LHC is to recreate (on a smaller scale a QGP state, compressing and heating ordinary nuclear matter by means of ultrarelativistic heavy-ion collisions. The ALICE experiment at CERN is dedicated to the study of the medium produced in these collisions : in particular, the study of the heavy quarkonia suppression pattern can give a measure of the temperature reached in these collisions, helping us to understand how close we are getting to the conditions of the starting point of the Universe.

  7. ALICE presents its first award to Industry

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    Behind from left to right (Derrière de gauche à droite): Bernardo Mota, member of the ALTRO design team, Jurgen Schukraft, ALICE Spokesperson, Luciano Musa, leader of the ALTRO Design Team and Coordinator of the ALICE TPC FEE, Roberto Camapagnolo, member of the ALICE TPC FEE team, Jean-Pierre Coffin, Deputy of the ALICE Collaboration Board Chairman, Hans de Groot ALICE Resource Coordinator, Laurent Degoujon, ST - Data Converter Design Manager, Claude Engster, member of the ALICE TPC FEE team, Alain Delpi, ST - Data Converter Business Unit Manager, Carmen Gonzalez, member of the ALICE TPC FEE team, Yiota Foka, ALICE Outreach Coordinator; Front: Fabio Formenti , EP-ED Group Leader, Juan Antonio Rubio, ETT Division Leader.

  8. Part 2 of the summary for the electronics, DAQ, and computing working group: Technological developments

    International Nuclear Information System (INIS)

    Slaughter, A.J.

    1993-01-01

    The attraction of hadron machines as B factories is the copious production of B particles. However, the interesting physics lies in specific rare final states. The challenge is selecting and recording the interesting ones. Part 1 of the summary for this working group, open-quote Comparison of Trigger and Data Acquisition Parameters for Future B Physics Experiments close-quote summarizes and compares the different proposals. In parallel with this activity, the working group also looked at a number of the technological developments being proposed to meet the trigger and DAQ requirements. The presentations covered a wide variety of topics, which are grouped into three categories: (1) front-end electronics, (2) level 0 fast triggers, and (3) trigger and vertex processors. The group did not discuss on-line farms or offine data storage and computing due to lack of time

  9. ACORDE a cosmic ray detector for ALICE

    International Nuclear Information System (INIS)

    Fernandez, A.; Gamez, E.; Herrera, G.; Lopez, R.; Leon-Monzon, I.; Martinez, M.I.; Pagliarone, C.; Paic, G.; Roman, S.; Tejeda, G.; Vargas, M.A.; Vergara, S.; Villasenor, L.; Zepeda, A.

    2007-01-01

    ACORDE is one of the ALICE detectors, presently under construction at CERN. It consists of an array of plastic scintillator counters placed on the three upper faces of the ALICE magnet. It will act as a cosmic ray trigger, and, together with other ALICE sub-detectors, will provide precise information on cosmic rays with primary energies around 10 15 -10 17 eV. Here we describe the design of ACORDE along with the present status and integration into ALICE

  10. PC adapter and patch panel for ALICE

    CERN Multimedia

    Patrice Loïez

    2003-01-01

    These components form part of the ALICE detector data link (DDL). This is a high-speed optical link designed to interface the readout electronics of ALICE detectors to computers for data acquisition. A total of 400 DDLs will be installed on ALICE. These silicon devices have been developed especially for use in the high radiation levels produced in detector environments.

  11. ALICE presents its first award to Industry

    CERN Multimedia

    On 19 June, a French company received the first ALICE award to industry. ST Technologies has provided ALICE with a key device for the design of a very sophisticated chip for the readout of the ALICE Time Projection Chamber. Behind from left to right (Derrière de gauche à droite): Bernardo Mota, member of the ALTRO design team, Jurgen Schukraft, ALICE Spokesperson, Luciano Musa, leader of the ALTRO Design Team and Coordinator of the ALICE TPC FEE, Roberto Camapagnolo, member of the ALICE TPC FEE team, Jean-Pierre Coffin, Deputy of the ALICE Collaboration Board Chairman, Hans de Groot ALICE Resource Coordinator, Laurent Degoujon, ST - Data Converter Design Manager, Claude Engster, member of the ALICE TPC FEE team, Alain Delpi, ST - Data Converter Business Unit Manager, Carmen Gonzalez, member of the ALICE TPC FEE team, Yiota Foka, ALICE Outreach Coordinator; Front: Fabio Formenti , EP-ED Group Leader, Juan Antonio Rubio, ETT Division Leader The ALICE experiment is setting new demands on readout electronics i...

  12. Managing Information Flow in ALICE

    CERN Document Server

    Augustinus, A; Moreno, A; Kurepin, A N; De Cataldo, G; Pinazza, O; Rosinský, P; Lechman, M; Jirdén, L S

    2011-01-01

    ALICE is one of the experiments at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. The ALICE detector control system is an integrated system collecting 18 different detectors’ controls and general services. Is implemented using the commercial SCADA package PVSS. Information of general interest, such as beam and condition data, and data related to shared plants or systems, are made available to all the subsystems via the distribution capabilities of PVSS. Great care has been taken to build a modular and hierarchical system, limiting the interdependencies of the various subsystems. Accessing remote resources in a PVSS distributed environment is very simple and can be initiated unilaterally. In order to improve the reliability of distributed data and to avoid unforeseen and unwished dependencies, the ALICE DCS group has enforced the centralization of global data required by the subsystems. A tool has been developed to monitor the level of interdependency and to understand the ...

  13. Industrial collaborators honoured by ALICE

    CERN Document Server

    Maximilien Brice

    2004-01-01

    Picture 01 : the winners gather after the ALICE Award ceremony (from left to right): Yuri Saveliev, Stanislav Burachas and Sergei Beloglovsky of North Crystals; Maximilian Metzger, CERN's secretary-general; Rang Cai of ATM; Jürgen Schukraft, ALICE spokesperson; Erich Pamminger and Daniel Gattinger of FACC; and Tiejun Wang of ATM. The ALICE collaboration has presented its second round of awards to three companies for their novel and remarkable contributions to major detector systems: Advance Technology and Materials (ATM), Fischer Advanced Composite Components (FACC) and North Crystals. The awards presented to these three leaders in advanced, modern materials were beautifully sculpted from one of the oldest materials used by mankind to manufacture tools - Mexican Obsidian

  14. LabVIEW DAQ for NE213 Neutron Detector

    International Nuclear Information System (INIS)

    Al-Adeeb, Mohammed

    2003-01-01

    A neutron spectroscopy system, based on a NE213 liquid scintillation detector, to be placed at the Stanford Linear Accelerator Center to measure neutron spectra from a few MeV up to 800 MeV, beyond shielding. The NE213 scintillator, coupled with a Photomultiplier Tube (PMT), detects and converts radiation into current for signal processing. Signals are processed through Nuclear Instrument Modules (NIM) and Computer Automated Measurement and Control (CAMAC) modules. CAMAC is a computer automated data acquisition and handling system. Pulses are properly prepared and fed into an analog to digital converter (ADC), a standard CAMAC module. The ADC classifies the incoming analog pulses into 1 of 2048 digital channels. Data acquisition (DAQ) software based on LabVIEW, version 7.0, acquires and organizes data from the CAMAC ADC. The DAQ system presents a spectrum showing a relationship between pulse events and respective charge (digital channel number). Various photon sources, such as Co-60, Y-88, and AmBe-241, are used to calibrate the NE213 detector. For each source, a Compton edge and reference energy [units of MeVee] is obtained. A complete calibration curve results (at a given applied voltage to the PMT and pre-amplification gain) when the Compton edge and reference energy for each source is plotted. This project is focused to development of a DAQ system and control setup to collect and process information from a NE213 liquid scintillation detector. A manual is created to document the process of the development and interpretation of the LabVIEW-based DAQ system. Future high-energy neutron measurements can be referenced and normalized according to this calibration curve

  15. Event visualisation in ALICE - current status and strategy for Run 3

    Science.gov (United States)

    Niedziela, Jeremi; von Haller, Barthélémy

    2017-10-01

    A Large Ion Collider Experiment (ALICE) is one of the four big experiments running at the Large Hadron Collider (LHC), which focuses on the study of the Quark-Gluon Plasma (QGP) being produced in heavy-ion collisions. The ALICE Event Visualisation Environment (AliEve) is a tool providing an interactive 3D model of the detector’s geometry and a graphical representation of the data. Together with the online reconstruction module, it provides important quality monitoring of the recorded data. As a consequence it has been used in the ALICE Run Control Centre during all stages of Run 2. Static screenshots from the online visualisation are published on the public website - ALICE LIVE. Dedicated converters have been developed to provide geometry and data for external projects. An example of such project is the Total Event Display (TEV) - a visualisation tool recently developed by the CERN Media Lab based on the Unity game engine. It can be easily deployed on any platform, including web and mobile platforms. Another external project is More Than ALICE - an augmented reality application for visitors, overlaying detector descriptions and event visualisations on the camera’s picture. For the future Run 3 both AliEve and TEV will be adapted to fit the ALICE O2 project. Several changes are required due to the new data formats, especially so-called Compressed Time Frames.

  16. Overview of recent ALICE results

    Energy Technology Data Exchange (ETDEWEB)

    Gunji, Taku

    2016-12-15

    The ALICE experiment explores the properties of strongly interacting QCD matter at extremely high temperatures created in Pb-Pb collisions at LHC and provides further insight into small-system physics in (high-multiplicity) pp and p-Pb collisions. The ALICE collaboration presented 27 parallel talks, 50 posters, and 1 flash talk at Quark Matter 2015 and covered various topics including collective dynamics, correlations and fluctuations, heavy flavors, quarkonia, jets and high p{sub T} hadrons, electromagnetic probes, small system physics, and the upgrade program. This paper highlights some of the selected results.

  17. Overview of recent ALICE results

    CERN Document Server

    Gunji, Taku

    2016-01-01

    The ALICE experiment explores the properties of strongly interacting QCD matter at extremely high temperatures created in Pb-Pb collisions at LHC and provides further insight into small-system physics in (high-multiplicity) pp and p-Pb collisions. The ALICE collaboration presented 27 parallel talks, 50 posters, and 1 flash talk at Quark Matter 2015 and covered various topics including collective dynamics, correlations and fluctuations, heavy flavors, quarkonia, jets and high $p_{\\rm T}$ hadrons, electromagnetic probes, small system physics, and the upgrade program. This paper highlights some of the selected results.

  18. ALICE Time Of Flight Detector

    CERN Multimedia

    Alici, A

    2013-01-01

    Charged particles in the intermediate momentum range are identified in ALICE by the Time Of Flight (TOF) detector. The time measurement with the TOF, in conjunction with the momentum and track length measured by the tracking detector, is used to calculate the particle mass.

  19. On the horizon for ALICE

    CERN Multimedia

    Antonella Del Rosso

    2012-01-01

    ALICE – the LHC experiment specifically designed to study the physics of the Quark Gluon Plasma (QGP) and, more generally, of strongly interacting matter at extreme energy densities – is planning a series of upgrades during the long shutdowns of the accelerator in the coming years. The new ALICE will have enhanced read-out capabilities and improved efficiency when tracking particles and identifying the vertex of the interactions.     Corrado Gargiulo, ALICE's Project Engineer with ITS prototype. The new ITS will consist of 7 layers of silicon sensors supported by a ultra-light carbon fibre structure.  The LHC has been operated with lead ions for only about two months, but this has been sufficient for ALICE and other LHC experiments to produce results that previous accelerators took several years of operation to produce. “Prior to the start-up of the LHC heavy-ion programme, the nature of the QGP as an almost-perfect liquid had already...

  20. ALICE Holds Up to Challenge

    CERN Multimedia

    2006-01-01

    ALICE's main austenitic stainless steel support structure (the Space Frame) has recently gone through many tests that proved quite challenging: insuring the structure is sound and lowering it horizontally into the ALICE cavern. This structure is constructed to hold the large volume detectors, such as the Time Projection Chamber, Transition Radiation Detector and Time of Flight inside the ALICE solenoid magnet. After the final assembly at CERN, two large mobile cranes were needed for the job of lifting and turning the 14 tonne frame onto its side. Once shifted, it was placed in Building SX2, one of the surface assembly areas designated for ALICE. The structure, which is 8 m in diameter and 7 m long, underwent many tests in its new position. Geometric control tests were performed by measuring each of the 18 cells and placing wooden or metal samples constructed to the same dimensions as the real thing inside the structure. The most important check was the movement of the real Time Projection Chamber from its s...

  1. Alice in the Real World

    Science.gov (United States)

    Parker, Tom

    2012-01-01

    As a fifth-grade mathematics teacher, the author tries to create authentic problem-solving activities that connect to the world in which his students live. He discovered a natural connection to his students' real world at a computer camp. A friend introduced him to Alice, a computer application developed at Carnegie Mellon, under the leadership of…

  2. The ALICE Magnetic System Computation.

    CERN Document Server

    Klempt, W; CERN. Geneva; Swoboda, Detlef

    1995-01-01

    In this note we present the first results from the ALICE magnetic system computation performed in the 3-dimensional way with the Vector Fields TOSCA code (version 6.5) [1]. To make the calculations we have used the IBM RISC System 6000-370 and 6000-550 machines combined in the CERN PaRC UNIX cluster.

  3. Clock and trigger distribution for ALICE using the CRU FPGA card

    CERN Document Server

    Imrek, Jozsef

    2017-01-01

    ALICE is preparing a major upgrade for 2021. Subdetectors upgrading their DAQ electronics will use a common hardware to receive physics data: the Common Readout Unit (CRU). The same CRU will also distribute the LHC clock and trigger to many of the upgrading subdetectors (to 7800 front end cards). Requirements are strict: for the clock the allowed jitter (RMS) is typically <300ps, and <20ps for timing critical subdetectors; the allowed variation of skew is typically <1ns, and <100ps for timing critical subdetectors. A constant latency for distributing the trigger is essential. A novel approach to implement clock forwarding – using only the internal PLLs of the CRU’s onboard FPGA, without using an external jitter cleaner PLL – is presented.

  4. ALICE HLT Cluster operation during ALICE Run 2

    Science.gov (United States)

    Lehrbach, J.; Krzewicki, M.; Rohr, D.; Engel, H.; Gomez Ramirez, A.; Lindenstruth, V.; Berzano, D.; ALICE Collaboration

    2017-10-01

    ALICE (A Large Ion Collider Experiment) is one of the four major detectors located at the LHC at CERN, focusing on the study of heavy-ion collisions. The ALICE High Level Trigger (HLT) is a compute cluster which reconstructs the events and compresses the data in real-time. The data compression by the HLT is a vital part of data taking especially during the heavy-ion runs in order to be able to store the data which implies that reliability of the whole cluster is an important matter. To guarantee a consistent state among all compute nodes of the HLT cluster we have automatized the operation as much as possible. For automatic deployment of the nodes we use Foreman with locally mirrored repositories and for configuration management of the nodes we use Puppet. Important parameters like temperatures, network traffic, CPU load etc. of the nodes are monitored with Zabbix. During periods without beam the HLT cluster is used for tests and as one of the WLCG Grid sites to compute offline jobs in order to maximize the usage of our cluster. To prevent interference with normal HLT operations we separate the virtual machines running the Grid jobs from the normal HLT operation via virtual networks (VLANs). In this paper we give an overview of the ALICE HLT operation in 2016.

  5. ALICE HLT high speed tracking on GPU

    CERN Document Server

    Gorbunov, Sergey; Aamodt, Kenneth; Alt, Torsten; Appelshauser, Harald; Arend, Andreas; Bach, Matthias; Becker, Bruce; Bottger, Stefan; Breitner, Timo; Busching, Henner; Chattopadhyay, Sukalyan; Cleymans, Jean; Cicalo, Corrado; Das, Indranil; Djuvsland, Oystein; Engel, Heiko; Erdal, Hege Austrheim; Fearick, Roger; Haaland, Oystein Senneset; Hille, Per Thomas; Kalcher, Sebastian; Kanaki, Kalliopi; Kebschull, Udo Wolfgang; Kisel, Ivan; Kretz, Matthias; Lara, Camillo; Lindal, Sven; Lindenstruth, Volker; Masoodi, Arshad Ahmad; Ovrebekk, Gaute; Panse, Ralf; Peschek, Jorg; Ploskon, Mateusz; Pocheptsov, Timur; Ram, Dinesh; Rascanu, Theodor; Richter, Matthias; Rohrich, Dieter; Ronchetti, Federico; Skaali, Bernhard; Smorholm, Olav; Stokkevag, Camilla; Steinbeck, Timm Morten; Szostak, Artur; Thader, Jochen; Tveter, Trine; Ullaland, Kjetil; Vilakazi, Zeblon; Weis, Robert; Yin, Zhong-Bao; Zelnicek, Pierre

    2011-01-01

    The on-line event reconstruction in ALICE is performed by the High Level Trigger, which should process up to 2000 events per second in proton-proton collisions and up to 300 central events per second in heavy-ion collisions, corresponding to an inp ut data stream of 30 GB/s. In order to fulfill the time requirements, a fast on-line tracker has been developed. The algorithm combines a Cellular Automaton method being used for a fast pattern recognition and the Kalman Filter method for fitting of found trajectories and for the final track selection. The tracker was adapted to run on Graphics Processing Units (GPU) using the NVIDIA Compute Unified Device Architecture (CUDA) framework. The implementation of the algorithm had to be adjusted at many points to allow for an efficient usage of the graphics cards. In particular, achieving a good overall workload for many processor cores, efficient transfer to and from the GPU, as well as optimized utilization of the different memories the GPU offers turned out to be cri...

  6. Overview of results from ALICE

    International Nuclear Information System (INIS)

    Płoskoń, Mateusz

    2014-01-01

    ALICE is a dedicated experiment for measurements of heavy-ion collisions at the Large Hadron Collider (LHC). A wealth of experimental data recorded in 2010, 2011 and 2012 suggests that a strongly interacting de-confined medium is created in collisions of lead ions at a centre-of-mass energy √S_N_N = 2.76 TeV. In order to quantify the properties of this hot and dense matter, measurements were performed in smaller systems, such as proton-proton and proton-lead, where effects related to the medium are expected to be negligible. We present an overview of recent measurements of particle production and particle correlations in proton-proton, Pb-Pb and p-Pb collisions at the LHC by ALICE Collaboration.

  7. The ALICE detector data link

    CERN Document Server

    Rubin, G; Csató, P; Dénes, E; Kiss, T; Meggyesi, Z; Sulyán, J; Vesztergombi, G; Eged, B; Gerencsér, I; Novák, I; Soós, C; Tarján, D; Telegdy, A; Tóth, N

    1999-01-01

    The ALICE detector data link has been designed to cover all the needs for data transfer between the detector and the data-acquisition system. It is a 1 Gbit/s, full-duplex, multi-purpose fibre optic link that can be used as a medium for the bi-directional transmission of data blocks between the front-end electronics and the data- acquisition system and also for the remote control and test of the front-end electronics, In this paper the concept, the protocol, the specific test tools, the prototypes of the detector data link and the read-out receiver card, their application in the ALICE-TPC test system and the integration with the DATE software are presented. The test results on the performance are also shown. (14 refs).

  8. Measurements of Jets in ALICE

    CERN Document Server

    Nattrass, Christine

    2016-01-01

    The ALICE detector can be used for measurements of jets in pp , p Pb, and Pb–Pb collisions. Measurements of jets in pp collisions are consis- tent with expectations from perturbative calculations and jets in p Pb scale with the number of nucleon–nucleon collisions, indicating that cold nuclear matter effects are not observed for jets. Measurements in Pb–Pb collisions demonstrate suppression of jets relative to expectations from binary scaling to the equivalent number of nucleon–nucleon collisions

  9. NOvA Event Building, Buffering and Data-Driven Triggering From Within the DAQ System

    Energy Technology Data Exchange (ETDEWEB)

    Fischler, M. [Fermilab; Green, C. [Fermilab; Kowalkowski, J. [Fermilab; Norman, A. [Fermilab; Paterno, M. [Fermilab; Rechenmacher, R. [Fermilab

    2012-06-22

    To make its core measurements, the NOvA experiment needs to make real-time data-driven decisions involving beam-spill time correlation and other triggering issues. NOvA-DDT is a prototype Data-Driven Triggering system, built using the Fermilab artdaq generic DAQ/Event-building tools set. This provides the advantages of sharing online software infrastructure with other Intensity Frontier experiments, and of being able to use any offline analysis module--unchanged--as a component of the online triggering decisions. The NOvA-artdaq architecture chosen has significant advantages, including graceful degradation if the triggering decision software fails or cannot be done quickly enough for some fraction of the time-slice ``events.'' We have tested and measured the performance and overhead of NOvA-DDT using an actual Hough transform based trigger decision module taken from the NOvA offline software. The results of these tests--98 ms mean time per event on only 1/16 of th e available processing power of a node, and overheads of about 2 ms per event--provide a proof of concept: NOvA-DDT is a viable strategy for data acquisition, event building, and trigger processing at the NOvA far detector.

  10. ALICE through the phase transition

    CERN Document Server

    CERN. Geneva

    2000-01-01

    While proton-proton collisions will be the principal diet of CERN's LHC machine, heavy-ion collisions will also be on the menu. The ALICE experiment will be ready and waiting. Another of ALICE's TDRs concerns the experiment's inner tracking system (ITS). This is the innermost layer of the detector, responsible for tracking emerging particles where their density will be at its highest. ALICE physicists have been working with colleagues from fellow LHC experiment LHCb to develop silicon pixel chips for the inner two layers of the ITS.The result is a chip with 50 x 425 mu m cells; a prototype detector based on this chip is being tested this year.The ITS has six layers, all using silicon technology, and about 10 million digital and 2 million analogue readout channels to digest the huge number of particles produced in LHC lead-ion collisions. The collaboration has opted for a hybrid ITS structure combining sensors, electronics and mechanical support. Beam tests so far have indicated that the ITS should achieve pos...

  11. Managing information flow in ALICE

    International Nuclear Information System (INIS)

    Pinazza, O.; Augustinus, A.; Chochula, P.Ch.; Jirden, L.S.; Lechman, M.; Rosinsky, P.; Cataldo, G. de; Kurepin, A.N.; Moreno, A.

    2012-01-01

    ALICE is one of the experiments at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. The ALICE detector control system (DCS) is an integrated system collecting 18 different detectors' controls and general services. DCS is implemented using the commercial SCADA package PVSS. Information of general interest, such as beam and condition data, and data related to shared plants or systems, are made available to all the subsystems via the distribution capabilities of PVSS. Great care has been taken to build a modular and hierarchical system, limiting the inter-dependencies of the various subsystems. Accessing remote resources in a PVSS distributed environment is very simple and can be initiated unilaterally. In order to improve the reliability of distributed data and to avoid unforeseen and unwished dependencies, the ALICE DCS group has enforced the centralization of global data required by the subsystems. A tool has been developed to monitor the level of inter-dependency and to understand the optimal layout of the distributed connections, allowing for an interactive visualization of the distribution topology. (authors)

  12. ALICE upgrades its powerful eyes

    CERN Multimedia

    Yuri Kharlov, ALICE Collaboration

    2013-01-01

    The ALICE Photon Spectrometer (PHOS) is a high-resolution photon detector that measures the photons coming out of the extremely hot plasma created in the lead-lead collisions at the LHC. Taking advantage of the long accelerator shut-down, the ALICE teams are now repairing and upgrading the existing modules and getting ready to install the brand-new module in time for the next run. The upgraded PHOS detector will be faster and more stable with wider acceptance and improved photon identification.   PHOS crystal matrix during repair. The key feature and the main complexity of the ALICE PHOS detector is that it operates at a temperature of -25°C, which makes it the second-coldest equipment element at the LHC after the cryogenic superconducting magnets. Since 2009 when it was installed, the PHOS detector, with its cold and warm volumes, has been immersed in airtight boxes to avoid condensation in the cold volumes. The 10,752 lead tungstate crystals of the PHOS were completely insulated fr...

  13. High Performance Gigabit Ethernet Switches for DAQ Systems

    CERN Document Server

    Barczyk, Artur

    2005-01-01

    Commercially available high performance Gigabit Ethernet (GbE) switches are optimized mostly for Internet and standard LAN application traffic. DAQ systems on the other hand usually make use of very specific traffic patterns, with e.g. deterministic arrival times. Industry's accepted loss-less limit of 99.999% may be still unacceptably high for DAQ purposes, as e.g. in the case of the LHCb readout system. In addition, even switches passing this criteria under random traffic can show significantly higher loss rates if subject to our traffic pattern, mainly due to buffer memory limitations. We have evaluated the performance of several switches, ranging from "pizza-box" devices with 24 or 48 ports up to chassis based core switches in a test-bed capable to emulate realistic traffic patterns as expected in the readout system of our experiment. The results obtained in our tests have been used to refine and parametrize our packet level simulation of the complete LHCb readout network. In this paper we report on the...

  14. Design of data transmission for a portable DAQ system

    International Nuclear Information System (INIS)

    Zhou Wenxiong; Nan Gangyang; Zhang Jianchuan; Wang Yanyu

    2014-01-01

    Field Programmable Gate Array (FPGA), combined with ARM (Advanced RISC Machines) is increasingly employed in the portable data acquisition (DAQ) system for nuclear experiments to reduce the system volume and achieve powerful and multifunctional capacity. High-speed data transmission between FPGA and ARM is one of the most challenging issues for system implementation. In this paper, we propose a method to realize the high-speed data transmission by using the FPGA to acquire massive data from FEE (Front-end electronics) and send it to the ARM whilst the ARM to transmit the data to the remote computer through the TCP/IP protocol for later process. This paper mainly introduces the interface design of the high-speed transmission method between the FPGA and the ARM, the transmission logic of the FPGA, and the program design of the ARM. The theoretical research shows that the maximal transmission speed between the FPGA and the ARM through this way can reach 50 MB/s. In a realistic nuclear physics experiment, this portable DAQ system achieved 2.2 MB/s data acquisition speed. (authors)

  15. Prototype tests for the ALICE TRD

    International Nuclear Information System (INIS)

    Andronic, A.; Appelshaeuser, H.; Herrmann, N.; Mahmoud, T.; Schicker, R.; Stachel, J.; Wessels, J.; Windelband, B.; Xu, C.; Blume, C.; Braun-Munzinger, P.; Daues, H.; Devismes, A.; Finck, Ch.; Sedykh, S.; Simon, R. S.; Stelzer, H.; Bucher, D.; Lister, T.; Peitzmann, T.; Reygers, K.; Santo, R.; Winkelmann, O.; Catanescu, V.; Ciobanu, M.; Petrovici, M.; Blume, C.; Braun-Munzinger, P.; Daues, H.; Devismes, A.; Finck, Ch.; Sedykh, S.; Simon, R. S.; Stelzer, H.

    2001-01-01

    The ALICE Transition Radiation Detector (TRD) has been designed to improve the pion rejection capability of the ALICE detector by at least a factor of 100 for momenta above 2 GeV/c. To demonstrate that this goal is achievable, during the last year we have conducted prototype tests at the pion (with natural electron content) beam facility at GSI Darmstadt. A complete description of the experimental setup and of the results (including references) can be found in two previous papers by Andronic et al. Many types of radiators were tested, composed of foils, fibres and foams. Here we summarize the results concerning the pion rejection performance in case of a fibre (of 17 μm diameter) radiator, which was established to be the best candidate for the final radiator. To extract the pion rejection factor we have studied three different methods: i) truncated mean of integrated energy deposit, TMQ; ii) likelihood on integrated energy deposit, L-Q; iii) bidimensional likelihood on energy deposit and position of the largest cluster found in the drift region of the DC, L-QX. We present the pion efficiency (the inverse of the rejection factor) as function of electron efficiency (90% electron efficiency is the commonly used value) in case of fibre radiators for the momentum of 1 GeV/c. The truncated mean method, although it delivers sizeably worse identification, has the advantage of being very easy to use, being advantageous especially for an on-line identification. The bidimensional likelihood delivers the best rejection factor. In general, the three methods employed here give results in good agreement with earlier studies. By doubling the equivalent thickness of the radiator one gains a factor of about 2 in pion rejection power. However, it remains to be seen how the additional material will influence (by producing secondary particles) the performance of the TRD itself and of other ALICE sub-detectors. The pion efficiency at 90% electron efficiency as function of momentum is

  16. Real-time TPC analysis with the ALICE High-Level Trigger

    International Nuclear Information System (INIS)

    Lindenstruth, V.; Loizides, C.; Roehrich, D.; Skaali, B.; Steinbeck, T.; Stock, R.; Tilsner, H.; Ullaland, K.; Vestboe, A.; Vik, T.

    2004-01-01

    The ALICE High-Level Trigger processes data online, to either select interesting (sub-) events, or to compress data efficiently by modeling techniques. Focusing on the main data source, the Time Projection Chamber, the architecture of the system and the current state of the tracking and compression methods are outlined

  17. High-level trigger system for the LHC ALICE experiment

    CERN Document Server

    Bramm, R; Lien, J A; Lindenstruth, V; Loizides, C; Röhrich, D; Skaali, B; Steinbeck, T M; Stock, Reinhard; Ullaland, K; Vestbø, A S; Wiebalck, A

    2003-01-01

    The central detectors of the ALICE experiment at LHC will produce a data size of up to 75 MB/event at an event rate less than approximately equals 200 Hz resulting in a data rate of similar to 15 GB/s. Online processing of the data is necessary in order to select interesting (sub)events ("High Level Trigger"), or to compress data efficiently by modeling techniques. Processing this data requires a massive parallel computing system (High Level Trigger System). The system will consist of a farm of clustered SMP-nodes based on off- the-shelf PCs connected with a high bandwidth low latency network.

  18. NOTE receives the prestigious ALICE Industrial Award

    CERN Multimedia

    2006-01-01

    "NOTE Lund has been given the ALICE Industrial Award due to good co-operation, great capacity for innovation and high quality of work, as a PCB manufacturer in the CERN project ALICE. Only a small number of awards have so far been conferred to a select number of companies."

  19. ALICE electromagnetic calorimeter technical design report

    NARCIS (Netherlands)

    Cortese, P.; Peitzmann, T.; de Haas, A.P.; Nooren, G.J.L.; Oskamp, C.J.; van den Brink, A.; Ivan, C.G.; Kamermans, R.; Kuijer, P.G.; Botje, M.A.J.; van der Kolk, N.; Mischke, A.; van Leeuwen, M.

    2008-01-01

    ALICE (A Large Ion Collider Experiment) at the LHC contains a wide array of detector systems for measuring hadrons, leptons, and photons. ALICE is designed to carry out comprehensive measurements of high energy nucleus-nucleus collisions, in order to study QCD matter under extreme conditions and to

  20. Studies for dimuon measurement with ALICE

    International Nuclear Information System (INIS)

    Jouan, D.

    1995-01-01

    The idea of measuring dimuon in the ALICE detector is not new, since it already appeared in the Aachen Conference. In the meantime studies were aiming at the use of the two detectors of LHC p-p physics, CMS and ATLAS, already dedicated to dimuon measurement, for these same measurements in heavy ion collisions, whereas the detector dedicated to heavy ions physics at LHC, ALICE, was considering all the other observables. Recently, the interest for dimuon measurements in ALICE was renewed by demands from LHC committee, stiring the activities of a working group in the ALICE collaboration, also associated to a more recent move from new groups. In the following the author briefly describes the interest of measuring dimuons in heavy ion collisions, particularly in ALICE, then the experimental strategy and first estimates of the performances that could be reached with the proposed system

  1. ALICE gets its first ‘upgrade’

    CERN Multimedia

    2009-01-01

    The ALICE experiment has reached another milestone with the successful installation of the first two modules of the electromagnetic calorimeter. Preparations for installing the EMCal in the ALICE cavern. On 17 and 19 March the first two sections of the electromagnetic calorimeter (EMCal) were fitted in the ALICE cavern. The full EMCal, a lead-scintillator sampling calorimeter, will be made up of 12 separate modules plus 2 half modules. Weighing 8 tons each, these modules required a whole new support structure to be built and a sophisticated ‘bridge’ device (pictured) to install them in situ. Project Leader, Tom Cormier from Wayne State University, notes that: "The EMCal is a late addition to ALICE, arriving in effect as a first upgrade. Indeed full approval with construction funds occurred only in early 2008." Although ALICE has excellent momentum measurement and identification capabilities for charged hadrons it previously lac...

  2. Embedded DAQ System Design for Temperature and Humidity Measurement

    Directory of Open Access Journals (Sweden)

    Tarique Rafique Memon

    2016-05-01

    Full Text Available In this work, we have proposed a cost effective DAQ (Data Acquisition system design useful for local industries by using user friendly LABVIEW (Laboratory Virtual Instrumentation Electronic Workbench. The proposed system can measure and control different industrial parameters which can be presented in graphical icon format. The system design is proposed for 8-channels, whereas tested and recorded for two parameters i.e. temperature and RH (Relative Humidity. Both parameters are set as per upper and lower limits and controlled using relays. Embedded system is developed using standard microcontroller to acquire and process the analog data and plug-in for further processing using serial interface with PC using LABVIEW. The designed system is capable of monitoring and recording the corresponding linkage between temperature and humidity in industrial unit's and indicates the abnormalities within the process and control those abnormalities through relays

  3. Editor for Remote Database used in ATLAS Trigger/DAQ

    CERN Document Server

    Meessen, C; Valenta, J

    2006-01-01

    The poster gives brief summary of the ATLAS T/DAQ system, then it introduces the RDB database and describes the RDB Editor application, including its internal structure, GUI features, etc. The RDB Editor is an easy-to-use Java application which allows simple navigation between huge number of objects stored in the RDB. It supports bookmarks, histories, etc. in the way usual in the web browsers. Moreover, it is possible to enhance the application by specialized (graphical) viewers for objects of particular class which will allow the user to see, for example, details that are hard to spot in textual view. As an example of such a plug-in, viewer for EFD_Configuration class was developed.

  4. A verilog simulation of the CDF DAQ system

    Energy Technology Data Exchange (ETDEWEB)

    Schurecht, K.; Harris, R. (Fermi National Accelerator Lab., Batavia, IL (United States)); Sinervo, P.; Grindley, R. (Toronto Univ., ON (Canada). Dept. of Physics)

    1991-11-01

    A behavioral simulation of the CDF data acquisition system was written in the Verilog modeling language in order to investigate the effects of various improvements to the existing system. This system is modeled as five separate components that communicate with each other via Fastbus interrupt messages. One component of the system, the CDF event builder, is modeled in substantially greater detail due to its complex structure. This simulation has been verified by comparing its performance with that of the existing DAQ system. Possible improvements to the existing systems were studied using the simulation, and the optimal upgrade path for the system was chosen on the basis of these studies. The overall throughput of the modified system is estimated to be double that of the existing setup. Details of this modeling effort will be discussed, including a comparison of the modeled and actual performance of the existing system.

  5. Embedded DAQ System Design for Temperature and Humidity Measurement

    International Nuclear Information System (INIS)

    Memon, T.R.

    2013-01-01

    In this work, we have proposed a cost effective DAQ (Data Acquisition) system design useful for local industries by using user friendly LABVIEW (Laboratory Virtual Instrumentation Electronic Workbench). The proposed system can measure and control different industrial parameters which can be presented in graphical icon format. The system design is proposed for 8-channels, whereas tested and recorded for two parameters i.e. temperature and RH (Relative Humidity). Both parameters are set as per upper and lower limits and controlled using relays. Embedded system is developed using standard microcontroller to acquire and process the analog data and plug-in for further processing using serial interface with PC using LABVIEW. The designed system is capable of monitoring and recording the corresponding linkage between temperature and humidity in industrial unit's and indicates the abnormalities within the process and control those abnormalities through relays. (author)

  6. A verilog simulation of the CDF DAQ system

    International Nuclear Information System (INIS)

    Schurecht, K.; Harris, R.; Sinervo, P.; Grindley, R.

    1991-11-01

    A behavioral simulation of the CDF data acquisition system was written in the Verilog modeling language in order to investigate the effects of various improvements to the existing system. This system is modeled as five separate components that communicate with each other via Fastbus interrupt messages. One component of the system, the CDF event builder, is modeled in substantially greater detail due to its complex structure. This simulation has been verified by comparing its performance with that of the existing DAQ system. Possible improvements to the existing systems were studied using the simulation, and the optimal upgrade path for the system was chosen on the basis of these studies. The overall throughput of the modified system is estimated to be double that of the existing setup. Details of this modeling effort will be discussed, including a comparison of the modeled and actual performance of the existing system

  7. Web tools to monitor and debug DAQ hardware

    International Nuclear Information System (INIS)

    Desavouret, Eugene; Nogiec, Jerzy M.

    2003-01-01

    A web-based toolkit to monitor and diagnose data acquisition hardware has been developed. It allows for remote testing, monitoring, and control of VxWorks data acquisition computers and associated instrumentation using the HTTP protocol and a web browser. This solution provides concurrent and platform independent access, supplementary to the standard single-user rlogin mechanism. The toolkit is based on a specialized web server, and allows remote access and execution of select system commands and tasks, execution of test procedures, and provides remote monitoring of computer system resources and connected hardware. Various DAQ components such as multiplexers, digital I/O boards, analog to digital converters, or current sources can be accessed and diagnosed remotely in a uniform and well-organized manner. Additionally, the toolkit application supports user authentication and is able to enforce specified access restrictions

  8. Status of the ALICE CERN Analysis Facility

    International Nuclear Information System (INIS)

    Meoni, Marco; Grosse-Oetringhaus, Jan Fiete; Carminati, Federico

    2010-01-01

    The ALICE experiment at CERN LHC is using a PROOF-enabled cluster for fast physics analysis, detector calibration and reconstruction of small data samples. The current system (CAF - CERN Analysis Facility) consists of some 120 CPU cores and about 45 TB of disk space distributed across the CAF hosts. One of the most important aspects of the data analysis on the CAF is the speed with which it can be carried out. The system is particularly aimed at the prototyping phase of analyses that need a high number of iterations and thus require a short response time. Quasi-online quality assurance of data can be obtained. The paper describes the design principles of the PROOF framework and presents the current setup, performance tests and usage statistics. Subsets of selected data can be automatically staged in CAF from the Grid storage systems, therefore data distribution and staging techniques are described in depth. A fairshare algorithm to adjust the priorities of concurrently running sessions is also examined. Furthermore, the adaptation of PROOF to the AliEn/gLite Grid middleware is described. This approach enables a dynamic startup of PROOF nodes worldwide with the purpose to process much larger physics datasets.

  9. Development of multi-channel gated integrator and PXI-DAQ system for nuclear detector arrays

    International Nuclear Information System (INIS)

    Kong Jie; Su Hong; Chen Zhiqiang; Dong Chengfu; Qian Yi; Gao Shanshan; Zhou Chaoyang; Lu Wan; Ye Ruiping; Ma Junbing

    2010-01-01

    A multi-channel gated integrator and PXI based data acquisition system have been developed for nuclear detector arrays with hundreds of detector units. The multi-channel gated integrator can be controlled by a programmable GI controller. The PXI-DAQ system consists of NI PXI-1033 chassis with several PXI-DAQ cards. The system software has a user-friendly GUI which is written in C language using LabWindows/CVI under Windows XP operating system. The performance of the PXI-DAQ system is very reliable and capable of handling event rate up to 40 kHz.

  10. CMS DAQ current and future hardware upgrades up to post Long Shutdown 3 (LS3) times

    CERN Document Server

    Racz, Attila; Behrens, Ulf; Branson, James; Chaze, Olivier; Cittolin, Sergio; Contescu, Cristian; da Silva Gomes, Diego; Darlea, Georgiana-Lavinia; Deldicque, Christian; Demiragli, Zeynep; Dobson, Marc; Doualot, Nicolas; Erhan, Samim; Fulcher, Jonathan Richard; Gigi, Dominique; Gladki, Maciej; Glege, Frank; Gomez-Ceballos, Guillelmo; Hegeman, Jeroen; Holzner, Andre; Janulis, Mindaugas; Lettrich, Michael; Meijers, Frans; Meschi, Emilio; Mommsen, Remigius K; Morovic, Srecko; O'Dell, Vivian; Orn, Samuel Johan; Orsini, Luciano; Papakrivopoulos, Ioannis; Paus, Christoph; Petrova, Petia; Petrucci, Andrea; Pieri, Marco; Rabady, Dinyar; Reis, Thomas; Sakulin, Hannes; Schwick, Christoph; Simelevicius, Dainius; Vazquez Velez, Cristina; Vougioukas, Michail; Zejdl, Petr

    2017-01-01

    Following the first LHC collisions seen and recorded by CMS in 2009, the DAQ hardware went through a major upgrade during LS1 (2013- 2014) and new detectors have been connected during 2015-2016 and 2016-2017 winter shutdowns. Now, LS2 (2019-2020) and LS3 (2024-mid 2026) are actively being prepared. This paper shows how CMS DAQ hardware has evolved from the beginning and will continue to evolve in order to meet the future challenges posed by High Luminosity LHC (HL-LHC) and the CMS detector evolution. In particular, post LS3 DAQ architectures are focused upon.

  11. ALICE Upgrades: Plans and Potentials

    CERN Document Server

    Tieulent, Raphael

    2015-01-01

    The ALICE collaboration consolidated and completed the installation of current detectors during LS1 with the aim to accumulate 1 nb$^{-1}$ of Pb-Pb collisions during Run 2 corresponding to about 10 times the Run 1 integrated luminosity. In parallel, the ALICE experiment has a rich detector upgrade programme scheduled during the second LHC long shutdown (LS2, 2018-2019) in order to fully exploit the LHC Runs 3 and 4. The main objectives of this programme are: improving the tracking precision and enabling the read-out of all Pb-Pb interactions at a rate of up to 50 kHz, with the goal to record an integrated luminosity of 10 nb$^{-1}$ after LS2 in minimum-bias trigger mode. This sample would represent an increase by a factor of one hundred with respect to the minimum-bias sample expected during Run 2. The implementation of this upgrade programme, foreseen in LS2, includes: a new low-material Inner Tracking System at central rapidity with a forward rapidity extension to add vertexing capabilities to the current M...

  12. Defect branes as Alice strings

    International Nuclear Information System (INIS)

    Okada, Takashi; Sakatani, Yuho

    2015-01-01

    There exist various defect-brane backgrounds in supergravity theories which arise as the low energy limit of string theories. These backgrounds typically have non-trivial monodromies, and if we move a charged probe around the center of a defect, its charge will be changed by the action of the monodromy. During the process, the charge conservation law seems to be violated. In this paper, to resolve this puzzle, we examine a dynamics of the charge changing process and show that the missing charge of the probe is transferred to the background. We then explicitly construct the resultant background after the charge transfer process by utilizing dualities. This background has the same monodromy as the original defect brane, but has an additional charge which does not have any localized source. In the literature, such a charge without localized source is known to appear in the presence of Alice strings. We argue that defect branes can in fact be regarded as a realization of Alice strings in string theory and examine the charge transfer process from that perspective.

  13. Defect branes as Alice strings

    Energy Technology Data Exchange (ETDEWEB)

    Okada, Takashi [Theoretical Biology Laboratory, RIKEN,Wako 351-0198 (Japan); Sakatani, Yuho [Department of Physics and Astronomy,Seoul National University, Seoul 151-747 (Korea, Republic of)

    2015-03-25

    There exist various defect-brane backgrounds in supergravity theories which arise as the low energy limit of string theories. These backgrounds typically have non-trivial monodromies, and if we move a charged probe around the center of a defect, its charge will be changed by the action of the monodromy. During the process, the charge conservation law seems to be violated. In this paper, to resolve this puzzle, we examine a dynamics of the charge changing process and show that the missing charge of the probe is transferred to the background. We then explicitly construct the resultant background after the charge transfer process by utilizing dualities. This background has the same monodromy as the original defect brane, but has an additional charge which does not have any localized source. In the literature, such a charge without localized source is known to appear in the presence of Alice strings. We argue that defect branes can in fact be regarded as a realization of Alice strings in string theory and examine the charge transfer process from that perspective.

  14. The ALICE analysis train system

    CERN Document Server

    Zimmermann, Markus

    2015-01-01

    In the ALICE experiment hundreds of users are analyzing big datasets on a Grid system. High throughput and short turn-around times are achieved by a centralized system called the LEGO trains. This system combines analysis from different users in so-called analysis trains which are then executed within the same Grid jobs thereby reducing the number of times the data needs to be read from the storage systems. The centralized trains improve the performance, the usability for users and the bookkeeping in comparison to single user analysis. The train system builds upon the already existing ALICE tools, i.e. the analysis framework as well as the Grid submission and monitoring infrastructure. The entry point to the train system is a web interface which is used to configure the analysis and the desired datasets as well as to test and submit the train. Several measures have been implemented to reduce the time a train needs to finish and to increase the CPU efficiency.

  15. More Than ALICE: Development of an augmented reality mobile application for the ALICE detector

    CERN Document Server

    Ouellette, Jeff

    2016-01-01

    More Than ALICE is a mobile application for iOS and Android built in the Unity Engine. This project concerns the development of the second edition of the application, which is meant to completely succeed the original version built in 2014. The purpose of the application is to describe the various components of the ALICE detector and to overlay live collisions to increase public awareness for the research goals of the ALICE collaboration. The application provides an augmented reality (AR) interface via the Vuforia SDK to track images of the ALICE detector or components of the paper model of ALICE that can be purchased at the ALICE secretariat office. For those without access to either images of the detector or the detector model, the app provides a virtual detector model (VR) that contains the same functionality as the augmented reality.

  16. The ALICE Silicon Pixel Detector System (SPD)

    CERN Document Server

    Kluge, A; Antinori, Federico; Burns, M; Cali, I A; Campbell, M; Caselle, M; Ceresa, S; Dima, R; Elias, D; Fabris, D; Krivda, Marian; Librizzi, F; Manzari, Vito; Morel, M; Moretto, Sandra; Osmic, F; Pappalardo, G S; Pepato, Adriano; Pulvirenti, A; Riedler, P; Riggi, F; Santoro, R; Stefanini, G; Torcato De Matos, C; Turrisi, R; Tydesjo, H; Viesti, G; PH-EP

    2007-01-01

    The ALICE silicon pixel detector (SPD) comprises the two innermost layers of the ALICE inner tracker system. The SPD includes 120 detector modules (half-staves) each consisting of 10 ALICE pixel chips bump bonded to two silicon sensors and one multi-chip read-out module. Each pixel chip contains 8192 active cells, so that the total number of pixel cells in the SPD is ≈ 107. The on-detector read-out is based on a multi-chip-module containing 4 ASICs and an optical transceiver module. The constraints on material budget and detector module dimensions are very demanding.

  17. DAQ systems for the high energy and nuclotron internal target polarimeters with network access to polarization calculation results and raw data

    International Nuclear Information System (INIS)

    Isupov, A.Yu.

    2004-01-01

    On-line data acquisition (DAQ) system for the Nuclotron Internal Target Polarimeter (ITP) at the LHE, JINR, is explained in respect of design and implementation, based on the distributed data acquisition and processing system qdpb. Software modules specific for this implementation (dependent on ITP data contents and hardware layout) are discussed briefly in comparison with those for the High Energy Polarimeter (HEP) at the LHE, JINR. User access methods both to raw data and to results of polarization calculations of the ITP and HEP are discussed

  18. NOvA Event Building, Buffering and Data-Driven Triggering From Within the DAQ System

    International Nuclear Information System (INIS)

    Fischler, M; Rechenmacher, R; Green, C; Kowalkowski, J; Norman, A; Paterno, M

    2012-01-01

    The NOvA experiment is a long baseline neutrino experiment design to make precision probes of the structure of neutrino mixing. The experiment features a unique deadtimeless data acquisition system that is capable acquiring and building an event data stream from the continuous readout of the more than 360,000 far detector channels. In order to achieve its physics goals the experiment must be able to buffer, correlate and extract the data in this stream with the beam-spills that occur that Fermilab. In addition the NOvA experiment seeks to enhance its data collection efficiencies for rare class of event topologies that are valuable for calibration through the use of data driven triggering. The NOvA-DDT is a prototype Data-Driven Triggering system. NOvA-DDT has been developed using the Fermilab artdaq generic DAQ/Event-building toolkit. This toolkit provides the advantages of sharing online software infrastructure with other Intensity Frontier experiments, and of being able to use any offline analysis module-unchanged-as a component of the online triggering decisions. We have measured the performance and overhead of NOvA-DDT framework using a Hough transform based trigger decision module developed for the NOvA detector to identify cosmic rays. The results of these tests which were run on the NOvA prototype near detector, yielded a mean processing time of 98 ms per event, while consuming only 1/16th of the available processing capacity. These results provide a proof of concept that a NOvA-DDT based processing system is a viable strategy for data acquisition and triggering for the NOvA far detector.

  19. ALICE Time of Flight Module

    CERN Multimedia

    The Time-Of-Flight system of ALICE consists of 90 such modules, each containing 15 or 19 Multigap Resistive Plate Chamber (MRPC) strips. This detector is used for identification of charged particles. It measures with high precision (50 ps) the time of flight of charged particles and therefore their velocity. The curvature of the particle trajectory inside the magnetic field gives the momentum, thus the particle mass is calculated and the particle is identified The MRPC is a stack of resistive glass plates, separated from each other by nylon fishing line. The mass production of the chambers (~1600, covering a surface of 150 m2) was done at INFN Bologna, while the first prototypes were bult at CERN.

  20. Correlations in small systems with ALICE

    CERN Document Server

    Lakomov, Igor

    2016-01-01

    ALICE is dedicated to the study of the strongly interacting matter, the so-called Quark-Gluon Plasma (QGP), formed in heavy-ion collisions at the LHC. In addition, ALICE also actively participated in the pp and p–Pb collision programs. In particular, the measurements of the twoparticle azimuthal correlations in pp collisions at √ s = 7 TeV and in p–Pb collisions at √ sNN = 5.02 TeV have been performed by the ALICE Collaboration during Run I of the LHC. Similar long-range correlations in p–Pb and Pb–Pb collisions have been observed on the near and away side — also known as the double ridge. Further investigations showed the importance of the Multi-Parton Interactions (MPI) in high-multiplicity collisions in small systems. In this work the ALICE results on the correlations in small systems are presented including MPI measurements in pp collisions.

  1. Alice'i imedemaa Pariisis / Isabel Chiang

    Index Scriptorium Estoniae

    Chiang, Isabel

    2000-01-01

    1998. a. Pariisis Catherine Alice Mamet' poolt asutatud mööblisalongist, seal tegutsevate disainerite (Pucci de Rossi, Satch, Guy Ferrer, Pablo Pares jt.) loomingunäiteid. Pariisis disaini õppiva tudengi Isabel Chiangi eluloolisi andmeid. 15 illustratsiooni

  2. ... ALICE forges ahead with further detectors

    CERN Multimedia

    2006-01-01

    Following the installation of the HMPID, the project has progressed swiftly with further detectors being lowered into the ALICE cavern. The first supermodule of the ALICE transition radiation detector was successfully installed on 10 October. The TRD collaborators from Germany standing next to the supermodule mounted in a rotating frame (bottom left corner) in the ALICE cavern. In the final configuration, 18 supermodules that make up the transition radiation detector will cylindrically surround the large time projection chamber in the central barrel of the ALICE experiment. Each supermodule is about 7 metre long and consists of 30 drift chambers in six layers. The construction of the modules is a collaboration between five institutes in Germany (Universities of Frankfurt and Heidelberg and Gesellschaft fuer Schwerionenforschung mbH in Darmstadt), Romania (NIPNE Bucharest) and Russia (JINR Dubna) with radiators (See 'Did you know?' section) produced at the University of Muenster, Germany. During the summer, ...

  3. ALICE: Simulated lead-lead collision

    CERN Multimedia

    2003-01-01

    This track is an example of simulated data modelled for the ALICE detector on the Large Hadron Collider (LHC) at CERN, which will begin taking data in 2008. ALICE will focus on the study of collisions between nuclei of lead, a heavy element that produces many different particles when collided. It is hoped that these collisions will produce a new state of matter known as the quark-gluon plasma, which existed billionths of a second after the Big Bang.

  4. Microstrip detector for the ALICE experiment

    CERN Multimedia

    Laurent Guiraud

    1996-01-01

    This photo shows a close up of one of the silicon microstrip detectors that will be installed on the ALICE experiment at the LHC. 1698 double-sided modules of these silicon microstrips will be installed in the two outermost layers of the ALICE inner tracking system. The microstrips have to be specially designed to withstand the high resolution levels at the heart of the detector.

  5. Prototype ALICE front-end card

    CERN Multimedia

    Maximilien Brice

    2004-01-01

    This circuit board is a prototype 48-channel front end digitizer card for the ALICE time projection chamber (TPC), which takes electrical signals from the wire sensors in the TPC and shapes the data before converting the analogue signal to digital data. A total of 4356 cards will be required to process the data from the ALICE TPC, the largest of this type of detector in the world.

  6. Event by event physics in ALICE

    CERN Document Server

    Christakoglou, Panos

    2009-01-01

    Fluctuations of thermodynamic quantities are fundamental for the study of the QGP phase transition. The ALICE experiment is well suited for precise event-by-event measurements of various quantities. In this article, we review the capabilities of ALICE to study the fluctuations of several key observables such as the net charge, the temperature, and the particle ratios. Among the observables related to correlations, we review the balance functions and the long range correlations.

  7. The DAQ system for the AEḡIS experiment

    Science.gov (United States)

    Prelz, F.; Aghion, S.; Amsler, C.; Ariga, T.; Bonomi, G.; Brusa, R. S.; Caccia, M.; Caravita, R.; Castelli, F.; Cerchiari, G.; Comparat, D.; Consolati, G.; Demetrio, A.; Di Noto, L.; Doser, M.; Ereditato, A.; Evans, C.; Ferragut, R.; Fesel, J.; Fontana, A.; Gerber, S.; Giammarchi, M.; Gligorova, A.; Guatieri, F.; Haider, S.; Hinterberger, A.; Holmestad, H.; Kellerbauer, A.; Krasnický, D.; Lagomarsino, V.; Lansonneur, P.; Lebrun, P.; Malbrunot, C.; Mariazzi, S.; Matveev, V.; Mazzotta, Z.; Müller, S. R.; Nebbia, G.; Nedelec, P.; Oberthaler, M.; Pacifico, N.; Pagano, D.; Penasa, L.; Petracek, V.; Prevedelli, M.; Ravelli, L.; Rienaecker, B.; Robert, J.; Røhne, O. M.; Rotondi, A.; Sacerdoti, M.; Sandaker, H.; Santoro, R.; Scampoli, P.; Simon, M.; Smestad, L.; Sorrentino, F.; Testera, G.; Tietje, I. C.; Widmann, E.; Yzombard, P.; Zimmer, C.; Zmeskal, J.; Zurlo, N.

    2017-10-01

    In the sociology of small- to mid-sized (O(100) collaborators) experiments the issue of data collection and storage is sometimes felt as a residual problem for which well-established solutions are known. Still, the DAQ system can be one of the few forces that drive towards the integration of otherwise loosely coupled detector systems. As such it may be hard to complete with off-the-shelf components only. LabVIEW and ROOT are the (only) two software systems that were assumed to be familiar enough to all collaborators of the AEḡIS (AD6) experiment at CERN: working out of the GXML representation of LabVIEW Data types, a semantically equivalent representation as ROOT TTrees was developed for permanent storage and analysis. All data in the experiment is cast into this common format and can be produced and consumed on both systems and transferred over TCP and/or multicast over UDP for immediate sharing over the experiment LAN. We describe the setup that has been able to cater to all run data logging and long term monitoring needs of the AEḡIS experiment so far.

  8. ALICE takes its ITS to heart

    CERN Multimedia

    2007-01-01

    In the study of heavy-ion events, the ALICE Inner Tracking System must use the most delicate materials. A hundred physicists and engineers from around the world witnessed its impressive journey to the centre of the ALICE experiment. ALICE's ITS on its way into the TCP. On 15 March, after 15 years of development, construction, commissioning and testing, the Inner Tracking System (ITS) finally reached its ultimate destination at the heart of ALICE. With almost five square meters of double-sided silicon strip detectors and over one square meter of silicon drift detectors, ALICE's ITS is the largest system built for either type of silicon detector. In ALICE's search for heavy-ion events at the LHC, it is necessary for the ITS to be extremely lightweight and delicate. For this reason the ITS was designed and built using the smallest amounts of only the lightest materials, with the design team developing innovative construction and assembly systems. The team prepared in detail for the final transport from the fi...

  9. DYNAMIC CONFIGURATION OF THE COMPUTING NODES OF THE ALICE O2 SYSTEM

    CERN Document Server

    Pugdeethosapol, Krittaphat

    2015-01-01

    The ALICE (A Large Ion Collider Experiment) Collaboration is preparing major upgrades for the detectors in 2020 in order to take advantage of the increase of collision rate at up to 50 KHz in the LHC for Pb-Pb beams. Together with these upgrades, the ALICE Online and Offline computing systems are being redesigned and upgraded to a new common system called O2. The O2 system is made of a software framework and a computing facility. The concept of the framework consists of implementing an online reconstruction and archiving of the data of all reconstructed collisions to permanent data storage. The main objective is to achieve a high-throughput system on heterogeneous computing platforms. Our KMUTT team has taken the responsibility of designing of accomplishing the design of the Control, Configuration, and Monitoring (CCM) of the computing infrastructure. This thesis is focusing on Configuration. The configuration module should allow dynamic configuration of processes and environment parameters during runtime. ...

  10. ALFA: The new ALICE-FAIR software framework

    Science.gov (United States)

    Al-Turany, M.; Buncic, P.; Hristov, P.; Kollegger, T.; Kouzinopoulos, C.; Lebedev, A.; Lindenstruth, V.; Manafov, A.; Richter, M.; Rybalchenko, A.; Vande Vyvre, P.; Winckler, N.

    2015-12-01

    The commonalities between the ALICE and FAIR experiments and their computing requirements led to the development of large parts of a common software framework in an experiment independent way. The FairRoot project has already shown the feasibility of such an approach for the FAIR experiments and extending it beyond FAIR to experiments at other facilities[1, 2]. The ALFA framework is a joint development between ALICE Online- Offline (O2) and FairRoot teams. ALFA is designed as a flexible, elastic system, which balances reliability and ease of development with performance using multi-processing and multithreading. A message- based approach has been adopted; such an approach will support the use of the software on different hardware platforms, including heterogeneous systems. Each process in ALFA assumes limited communication and reliance on other processes. Such a design will add horizontal scaling (multiple processes) to vertical scaling provided by multiple threads to meet computing and throughput demands. ALFA does not dictate any application protocols. Potentially, any content-based processor or any source can change the application protocol. The framework supports different serialization standards for data exchange between different hardware and software languages.

  11. Operational experience with the ALICE High Level Trigger

    Science.gov (United States)

    Szostak, Artur

    2012-12-01

    The ALICE HLT is a dedicated real-time system for online event reconstruction and triggering. Its main goal is to reduce the raw data volume read from the detectors by an order of magnitude, to fit within the available data acquisition bandwidth. This is accomplished by a combination of data compression and triggering. When HLT is enabled, data is recorded only for events selected by HLT. The combination of both approaches allows for flexible data reduction strategies. Event reconstruction places a high computational load on HLT. Thus, a large dedicated computing cluster is required, comprising 248 machines, all interconnected with InfiniBand. Running a large system like HLT in production mode proves to be a challenge. During the 2010 pp and Pb-Pb data-taking period, many problems were experienced that led to a sub-optimal operational efficiency. Lessons were learned and certain crucial changes were made to the architecture and software in preparation for the 2011 Pb-Pb run, in which HLT had a vital role performing data compression for ALICE's largest detector, the TPC. An overview of the status of the HLT and experience from the 2010/2011 production runs are presented. Emphasis is given to the overall performance, showing an improved efficiency and stability in 2011 compared to 2010, attributed to the significant improvements made to the system. Further opportunities for improvement are identified and discussed.

  12. Operational experience with the ALICE High Level Trigger

    International Nuclear Information System (INIS)

    Szostak, Artur

    2012-01-01

    The ALICE HLT is a dedicated real-time system for online event reconstruction and triggering. Its main goal is to reduce the raw data volume read from the detectors by an order of magnitude, to fit within the available data acquisition bandwidth. This is accomplished by a combination of data compression and triggering. When HLT is enabled, data is recorded only for events selected by HLT. The combination of both approaches allows for flexible data reduction strategies. Event reconstruction places a high computational load on HLT. Thus, a large dedicated computing cluster is required, comprising 248 machines, all interconnected with InfiniBand. Running a large system like HLT in production mode proves to be a challenge. During the 2010 pp and Pb-Pb data-taking period, many problems were experienced that led to a sub-optimal operational efficiency. Lessons were learned and certain crucial changes were made to the architecture and software in preparation for the 2011 Pb-Pb run, in which HLT had a vital role performing data compression for ALICE's largest detector, the TPC. An overview of the status of the HLT and experience from the 2010/2011 production runs are presented. Emphasis is given to the overall performance, showing an improved efficiency and stability in 2011 compared to 2010, attributed to the significant improvements made to the system. Further opportunities for improvement are identified and discussed.

  13. European Researchers Night, Students on Shift at ALICE

    CERN Multimedia

    Fons Rademakers

    2010-01-01

    During European Researchers' Night, on Friday 24 September 2010, from 17:00 to 24:00, pupils from French and Swiss schools visited ALICE and took shifts in the control room, helping the ALICE physicists run the experiment.

  14. ALICE opens its new nerve centre

    CERN Multimedia

    Antonella Del Rosso

    2014-01-01

    Twenty-nine fully equipped and ergonomic workstations, one meeting area and 11 large format screens in a completely refurbished room: the ALICE Run Control Centre (ARC) implements the best and newest solutions for its shift workers and expert operators, including access for persons with reduced mobility and very soon a magic window for Point 2 visitors.   The ALICE Run Control Centre. “Our initial intention was just to optimise the old layout,” says Federico Ronchetti from Laboratori Nazionali di Frascati (Italy), a CERN scientific associate currently appointed as ALICE Run Coordinator and person in charge of the ALICE Consolidation Task Force. “However, during the review process, we carried out a study of all the existing control rooms at CERN and became aware we needed a radical change. Hence we started planning a complete redesign of the workspace.” Designed and equipped over many years, the old ALICE control room did not have enough space to fit al...

  15. High performance message passing for the ATLAS DAQ/EF-1 project

    CERN Document Server

    Mornacchi, Giuseppe

    1999-01-01

    Summary form only. A message passing library has been developed in the context of the ATLAS DAQ/EF-1 project. It is used for time critical applications within the front-end part of the DAQ system, mainly to exchange data control messages between I/O processors. Key objectives of the design were low message overheads, efficient use of the data transfer buses, provision of broadcast functionality and a hardware and operating system independent implementation of the application interface. The design and implementation of the message passing library are presented. As required by the project, the implementation is based on commercial components, namely VMEbus, PCI, the Lynx-OS real-time operating system and an additional inter- processor link, PVIC. The latter offers broadcast functionality identified as being important to the overall performance of the message passing. In addition, performance benchmarks for all implementing buses are presented for both simple test programs and the full DAQ applications. (0 refs)...

  16. Performance of the ALICE VZERO system

    CERN Document Server

    Abbas, E.; Adam, J.; Adamova, D.; Adare, A.M.; Aggarwal, M.M.; Aglieri Rinella, G.; Agnello, M.; Agocs, A.G.; Agostinelli, A.; Ahammed, Z.; Ahmad, N.; Masoodi, A.Ahmad; Ahmed, I.; Ahn, S.A.; Ahn, S.U.; Aimo, I.; Ajaz, M.; Akindinov, A.; Aleksandrov, D.; Alessandro, B.; Alexandre, D.; Molina, R.Alfaro; Alici, A.; Alkin, A.; Almaraz Avina, E.; Alme, J.; Alt, T.; Altini, V.; Altinpinar, S.; Altsybeev, I.; Andrei, C.; Andronic, A.; Anguelov, V.; Anielski, J.; Anson, C.; Anticic, T.; Antinori, F.; Antonioli, P.; Aphecetche, L.; Appelshauser, H.; Arbor, N.; Arcelli, S.; Arend, A.; Armesto, N.; Arnaldi, R.; Aronsson, T.; Arsene, I.C.; Arslandok, M.; Asryan, A.; Augustinus, A.; Averbeck, R.; Awes, T.C.; Aysto, J.; Azmi, M.D.; Bach, M.; Badala, A.; Baek, Y.W.; Bailhache, R.; Bala, R.; Baldisseri, A.; Baltasar Dos Santos Pedrosa, F.; Ban, J.; Baral, R.C.; Barbera, R.; Barile, F.; Barnafoldi, G.G.; Barnby, L.S.; Barret, V.; Bartke, J.; Basile, M.; Bastid, N.; Basu, S.; Bathen, B.; Batigne, G.; Batyunya, B.; Batzing, P.C.; Baumann, C.; Bearden, I.G.; Beck, H.; Behera, N.K.; Belikov, I.; Bellini, F.; Bellwied, R.; Belmont-Moreno, E.; Bencedi, G.; Beole, S.; Berceanu, I.; Bercuci, A.; Berdnikov, Y.; Berenyi, D.; Bergognon, A.A.E.; Bertens, R.A.; Berzano, D.; Betev, L.; Bhasin, A.; Bhati, A.K.; Bhom, J.; Bianchi, L.; Bianchi, N.; Bianchin, C.; Bielcik, J.; Bielcikova, J.; Bilandzic, A.; Bjelogrlic, S.; Blanco, F.; Blanco, F.; Blau, D.; Blume, C.; Boccioli, M.; Bottger, S.; Bogdanov, A.; Boggild, H.; Bogolyubsky, M.; Boldizsar, L.; Bombara, M.; Book, J.; Borel, H.; Borissov, A.; Bossu, F.; Botje, M.; Botta, E.; Braidot, E.; Braun-Munzinger, P.; Bregant, M.; Breitner, T.; Broker, T.A.; Browning, T.A.; Broz, M.; Brun, R.; Bruna, E.; Bruno, G.E.; Budnikov, D.; Buesching, H.; Bufalino, S.; Buncic, P.; Busch, O.; Buthelezi, Z.; Caffarri, D.; Cai, X.; Caines, H.; Calvo Villar, E.; Camerini, P.; Canoa Roman, V.; Cara Romeo, G.; Carena, W.; Carena, F.; Carlin Filho, N.; Carminati, F.; Casanova Diaz, A.; Castillo Castellanos, J.; Castillo Hernandez, J.F.; Casula, E.A.R.; Catanescu, V.; Cavicchioli, C.; Ceballos Sanchez, C.; Cepila, J.; Cerello, P.; Chang, B.; Chapeland, S.; Charvet, J.L.; Chattopadhyay, S.; Chattopadhyay, S.; Cherney, M.; Cheshkov, C.; Cheynis, B.; Chibante Barroso, V.; Chinellato, D.D.; Chochula, P.; Chojnacki, M.; Choudhury, S.; Christakoglou, P.; Christensen, C.H.; Christiansen, P.; Chujo, T.; Chung, S.U.; Cicalo, C.; Cifarelli, L.; Cindolo, F.; Cleymans, J.; Colamaria, F.; Colella, D.; Collu, A.; Conesa Balbastre, G.; Conesa del Valle, Z.; Connors, M.E.; Contin, G.; Contreras, J.G.; Cormier, T.M.; Corrales Morales, Y.; Cortese, P.; Cortes Maldonado, I.; Cosentino, M.R.; Costa, F.; Cotallo, M.E.; Crescio, E.; Crochet, P.; Alaniz, E.Cruz; Albino, R.Cruz; Cuautle, E.; Cunqueiro, L.; Dainese, A.; Dang, R.; Danu, A.; Das, K.; Das, I.; Das, S.; Das, D.; Dash, S.; Dash, A.; De, S.; de Barros, G.O.V.; De Caro, A.; De Cataldo, G.; de Cuveland, J.; De Falco, A.; De Gruttola, D.; Delagrange, H.; Deloff, A.; De Marco, N.; Denes, E.; De Pasquale, S.; Deppman, A.; Erasmo, G.D.; de Rooij, R.; Diaz Corchero, M.A.; Di Bari, D.; Dietel, T.; Di Giglio, C.; Di Liberto, S.; Di Mauro, A.; Di Nezza, P.; Divia, R.; Djuvsland, O.; Dobrin, A.; Dobrowolski, T.; Donigus, B.; Dordic, O.; Dubey, A.K.; Dubla, A.; Ducroux, L.; Dupieux, P.; Dutta Majumdar, A.K.; Elia, D.; Emschermann, D.; Engel, H.; Erazmus, B.; Erdal, H.A.; Eschweiler, D.; Espagnon, B.; Estienne, M.; Esumi, S.; Evans, D.; Evdokimov, S.; Eyyubova, G.; Fabris, D.; Faivre, J.; Falchieri, D.; Fantoni, A.; Fasel, M.; Fehlker, D.; Feldkamp, L.; Felea, D.; Feliciello, A.; Fenton-Olsen, B.; Feofilov, G.; Fernandez Tellez, A.; Ferretti, A.; Festanti, A.; Figiel, J.; Figueredo, M.A.S.; Filchagin, S.; Finogeev, D.; Fionda, F.M.; Fiore, E.M.; Floratos, E.; Floris, M.; Foertsch, S.; Foka, P.; Fokin, S.; Fragiacomo, E.; Francescon, A.; Frankenfeld, U.; Fuchs, U.; Furget, C.; Fusco Girard, M.; Gaardhoje, J.J.; Gagliardi, M.; Gago, A.; Gallio, M.; Gangadharan, D.R.; Ganoti, P.; Garabatos, C.; Garcia-Solis, E.; Gargiulo, C.; Garishvili, I.; Gerhard, J.; Germain, M.; Geuna, C.; Gheata, M.; Gheata, A.; Ghidini, B.; Ghosh, P.; Gianotti, P.; Giubellino, P.; Gladysz-Dziadus, E.; Glassel, P.; Gomez, R.; Ferreiro, E.G.; Gonzalez-Trueba, L.H.; Gonzalez-Zamora, P.; Gorbunov, S.; Goswami, A.; Gotovac, S.; Grabski, V.; Graczykowski, L.K.; Grajcarek, R.; Grelli, A.; Grigoras, C.; Grigoras, A.; Grigoriev, V.; Grigoryan, A.; Grigoryan, S.; Grinyov, B.; Grion, N.; Gros, P.; Grosse-Oetringhaus, J.F.; Grossiord, J.Y.; Grosso, R.; Guber, F.; Guernane, R.; Guerzoni, B.; Guilbaud, M.; Gulbrandsen, K.; Gulkanyan, H.; Gunji, T.; Gupta, A.; Gupta, R.; Haake, R.; Haaland, O.; Hadjidakis, C.; Haiduc, M.; Hamagaki, H.; Hamar, G.; Han, B.H.; Hanratty, L.D.; Hansen, A.; Harmanova-Tothova, Z.; Harris, J.W.; Hartig, M.; Harton, A.; Hatzifotiadou, D.; Hayashi, S.; Hayrapetyan, A.; Heckel, S.T.; Heide, M.; Helstrup, H.; Herghelegiu, A.; Herrera Corral, G.; Herrmann, N.; Hess, B.A.; Hetland, K.F.; Hicks, B.; Hippolyte, B.; Hori, Y.; Hristov, P.; Hrivnacova, I.; Huang, M.; Humanic, T.J.; Hwang, D.S.; Ichou, R.; Ilkaev, R.; Ilkiv, I.; Inaba, M.; Incani, E.; Innocenti, G.M.; Innocenti, P.G.; Ippolitov, M.; Irfan, M.; Ivan, C.; Ivanov, M.; Ivanov, A.; Ivanov, V.; Ivanytskyi, O.; Jacholkowski, A.; Jacobs, P.M.; Jahnke, C.; Jang, H.J.; Janik, M.A.; Jayarathna, P.H.S.Y.; Jena, S.; Jha, D.M.; Jimenez Bustamante, R.T.; Jones, P.G.; Jung, H.; Jusko, A.; Kaidalov, A.B.; Kalcher, S.; Kalinak, P.; Kalliokoski, T.; Kalweit, A.; Kang, J.H.; Kaplin, V.; Kar, S.; Karasu Uysal, A.; Karavichev, O.; Karavicheva, T.; Karpechev, E.; Kazantsev, A.; Kebschull, U.; Keidel, R.; Ketzer, B.; Khan, M.M.; Khan, P.; Khan, S.A.; Khan, K.H.; Khanzadeev, A.; Kharlov, Y.; Kileng, B.; Kim, M.; Kim, T.; Kim, B.; Kim, S.; Kim, M.; Kim, D.J.; Kim, J.S.; Kim, J.H.; Kim, D.W.; Kirsch, S.; Kisel, I.; Kiselev, S.; Kisiel, A.; Klay, J.L.; Klein, J.; Klein-Bosing, C.; Kliemant, M.; Kluge, A.; Knichel, M.L.; Knospe, A.G.; Kohler, M.K.; Kollegger, T.; Kolojvari, A.; Kompaniets, M.; Kondratiev, V.; Kondratyeva, N.; Konevskikh, A.; Kovalenko, V.; Kowalski, M.; Kox, S.; Koyithatta Meethaleveedu, G.; Kral, J.; Kralik, I.; Kramer, F.; Kravcakova, A.; Krelina, M.; Kretz, M.; Krivda, M.; Krizek, F.; Krus, M.; Kryshen, E.; Krzewicki, M.; Kucera, V.; Kucheriaev, Y.; Kugathasan, T.; Kuhn, C.; Kuijer, P.G.; Kulakov, I.; Kumar, J.; Kurashvili, P.; Kurepin, A.; Kurepin, A.B.; Kuryakin, A.; Kushpil, V.; Kushpil, S.; Kvaerno, H.; Kweon, M.J.; Kwon, Y.; Ladron de Guevara, P.; Lagana Fernandes, C.; Lakomov, I.; Langoy, R.; La Pointe, S.L.; Lara, C.; Lardeux, A.; La Rocca, P.; Lea, R.; Lechman, M.; Lee, S.C.; Lee, G.R.; Legrand, I.; Lehnert, J.; Lemmon, R.C.; Lenhardt, M.; Lenti, V.; Leon, H.; Leoncino, M.; Leon Monzon, I.; Levai, P.; Li, S.; Lien, J.; Lietava, R.; Lindal, S.; Lindenstruth, V.; Lippmann, C.; Lisa, M.A.; Ljunggren, H.M.; Lodato, D.F.; Loenne, P.I.; Loggins, V.R.; Loginov, V.; Lohner, D.; Loizides, C.; Loo, K.K.; Lopez, X.; Lopez Torres, E.; Lovhoiden, G.; Lu, X.G.; Luettig, P.; Lunardon, M.; Luo, J.; Luparello, G.; Luzzi, C.; Ma, R.; Ma, K.; Madagodahettige-Don, D.M.; Maevskaya, A.; Mager, M.; Mahapatra, D.P.; Maire, A.; Malaev, M.; Maldonado Cervantes, I.; Malinina, L.; Mal'Kevich, D.; Malzacher, P.; Mamonov, A.; Manceau, L.; Mangotra, L.; Manko, V.; Manso, F.; Manzari, V.; Mao, Y.; Marchisone, M.; Mares, J.; Margagliotti, G.V.; Margotti, A.; Marin, A.; Markert, C.; Marquard, M.; Martashvili, I.; Martin, N.A.; Martinengo, P.; Martinez, M.I.; Martinez Garcia, G.; Martynov, Y.; Mas, A.; Masciocchi, S.; Masera, M.; Masoni, A.; Massacrier, L.; Mastroserio, A.; Matyja, A.; Mayer, C.; Mazer, J.; Mazumder, R.; Mazzoni, M.A.; Meddi, F.; Menchaca-Rocha, A.; Mercado Perez, J.; Meres, M.; Miake, Y.; Mikhaylov, K.; Milano, L.; Milosevic, J.; Mischke, A.; Mishra, A.N.; Miskowiec, D.; Mitu, C.; Mizuno, S.; Mlynarz, J.; Mohanty, B.; Molnar, L.; Montano Zetina, L.; Monteno, M.; Montes, E.; Moon, T.; Morando, M.; Moreira De Godoy, D.A.; Moretto, S.; Morreale, A.; Morsch, A.; Muccifora, V.; Mudnic, E.; Muhuri, S.; Mukherjee, M.; Muller, H.; Munhoz, M.G.; Murray, S.; Musa, L.; Musinsky, J.; Nandi, B.K.; Nania, R.; Nappi, E.; Nattrass, C.; Nayak, T.K.; Nazarenko, S.; Nedosekin, A.; Nicassio, M.; Niculescu, M.; Nielsen, B.S.; Niida, T.; Nikolaev, S.; Nikolic, V.; Nikulin, S.; Nikulin, V.; Nilsen, B.S.; Nilsson, M.S.; Noferini, F.; Nomokonov, P.; Nooren, G.; Nyanin, A.; Nyatha, A.; Nygaard, C.; Nystrand, J.; Ochirov, A.; Oeschler, H.; Oh, S.; Oh, S.K.; Oleniacz, J.; Oliveira Da Silva, A.C.; Onderwaater, J.; Oppedisano, C.; Ortiz Velasquez, A.; Oskarsson, A.; Ostrowski, P.; Otwinowski, J.; Oyama, K.; Ozawa, K.; Pachmayer, Y.; Pachr, M.; Padilla, F.; Pagano, P.; Paic, G.; Painke, F.; Pajares, C.; Pal, S.K.; Palaha, A.; Palmeri, A.; Papikyan, V.; Pappalardo, G.S.; Park, W.J.; Passfeld, A.; Patalakha, D.I.; Paticchio, V.; Paul, B.; Pavlinov, A.; Pawlak, T.; Peitzmann, T.; Pereira Da Costa, H.; Pereira De Oliveira Filho, E.; Peresunko, D.; Perez Lara, C.E.; Perrino, D.; Peryt, W.; Pesci, A.; Pestov, Y.; Petracek, V.; Petran, M.; Petris, M.; Petrov, P.; Petrovici, M.; Petta, C.; Piano, S.; Pikna, M.; Pillot, P.; Pinazza, O.; Pinsky, L.; Pitz, N.; Piyarathna, D.B.; Planinic, M.; Ploskon, M.; Pluta, J.; Pocheptsov, T.; Pochybova, S.; Podesta-Lerma, P.L.M.; Poghosyan, M.G.; Polak, K.; Polichtchouk, B.; Poljak, N.; Pop, A.; Porteboeuf-Houssais, S.; Pospisil, V.; Potukuchi, B.; Prasad, S.K.; Preghenella, R.; Prino, F.; Pruneau, C.A.; Pshenichnov, I.; Puddu, G.; Punin, V.; Putschke, J.; Qvigstad, H.; Rachevski, A.; Rademakers, A.; Raiha, T.S.; Rak, J.; Rakotozafindrabe, A.; Ramello, L.; Raniwala, S.; Raniwala, R.; Rasanen, S.S.; Rascanu, B.T.; Rathee, D.; Rauch, W.; Rauf, A.W.; Razazi, V.; Read, K.F.; Real, J.S.; Redlich, K.; Reed, R.J.; Rehman, A.; Reichelt, P.; Reicher, M.; Reidt, F.; Renfordt, R.; Reolon, A.R.; Reshetin, A.; Rettig, F.; Revol, J.P.; Reygers, K.; Riccati, L.; Ricci, R.A.; Richert, T.; Richter, M.; Riedler, P.; Riegler, W.; Riggi, F.; Rivetti, A.; Rodriguez Cahuantzi, M.; Rodriguez Manso, A.; Roed, K.; Rogochaya, E.; Rohr, D.; Rohrich, D.; Romita, R.; Ronchetti, F.; Rosnet, P.; Rossegger, S.; Rossi, A.; Roy, P.; Roy, C.; Rubio Montero, A.J.; Rui, R.; Russo, R.; Ryabinkin, E.; Rybicki, A.; Sadovsky, S.; Safarik, K.; Sahoo, R.; Sahu, P.K.; Saini, J.; Sakaguchi, H.; Sakai, S.; Sakata, D.; Salgado, C.A.; Salzwedel, J.; Sambyal, S.; Samsonov, V.; Sanchez Castro, X.; Sandor, L.; Sandoval, A.; Sano, M.; Santagati, G.; Santoro, R.; Sarkamo, J.; Sarkar, D.; Scapparone, E.; Scarlassara, F.; Scharenberg, R.P.; Schiaua, C.; Schicker, R.; Schmidt, H.R.; Schmidt, C.; Schuchmann, S.; Schukraft, J.; Schuster, T.; Schutz, Y.; Schwarz, K.; Schweda, K.; Scioli, G.; Scomparin, E.; Scott, R.; Scott, P.A.; Segato, G.; Selyuzhenkov, I.; Senyukov, S.; Seo, J.; Serci, S.; Serradilla, E.; Sevcenco, A.; Shabetai, A.; Shabratova, G.; Shahoyan, R.; Sharma, S.; Sharma, N.; Rohni, S.; Shigaki, K.; Shtejer, K.; Sibiriak, Y.; Sicking, E.; Siddhanta, S.; Siemiarczuk, T.; Silvermyr, D.; Silvestre, C.; Simatovic, G.; Simonetti, G.; Singaraju, R.; Singh, R.; Singha, S.; Singhal, V.; Sinha, T.; Sinha, B.C.; Sitar, B.; Sitta, M.; Skaali, T.B.; Skjerdal, K.; Smakal, R.; Smirnov, N.; Snellings, R.J.M.; Sogaard, C.; Soltz, R.; Song, M.; Song, J.; Soos, C.; Soramel, F.; Sputowska, I.; Spyropoulou-Stassinaki, M.; Srivastava, B.K.; Stachel, J.; Stan, I.; Stefanek, G.; Steinpreis, M.; Stenlund, E.; Steyn, G.; Stiller, J.H.; Stocco, D.; Stolpovskiy, M.; Strmen, P.; Suaide, A.A.P.; Subieta Vasquez, M.A.; Sugitate, T.; Suire, C.; Suleymanov, M.; Sultanov, R.; Sumbera, M.; Susa, T.; Symons, T.J.M.; Szanto de Toledo, A.; Szarka, I.; Szczepankiewicz, A.; Szymanski, M.; Takahashi, J.; Tangaro, M.A.; J.Tapia Takaki, D.; Peloni, A.Tarantola; Tarazona Martinez, A.; Tauro, A.; Tejeda Munoz, G.; Telesca, A.; Minasyan, A.Ter; Terrevoli, C.; Thader, J.; Thomas, D.; Tieulent, R.; Timmins, A.R.; Tlusty, D.; Toia, A.; Torii, H.; Toscano, L.; Trubnikov, V.; Truesdale, D.; Trzaska, W.H.; Tsuji, T.; Tumkin, A.; Turrisi, R.; Tveter, T.S.; Ulery, J.; Ullaland, K.; Ulrich, J.; Uras, A.; Urciuoli, G.M.; Usai, G.L.; Vajzer, M.; Vala, M.; Valencia Palomo, L.; Vallero, S.; Vande Vyvre, P.; Van Hoorne, J.W.; van Leeuwen, M.; Vannucci, L.; Vargas, A.; Varma, R.; Vasileiou, M.; Vasiliev, A.; Vechernin, V.; Veldhoen, M.; Venaruzzo, M.; Vercellin, E.; Vergara, S.; Vernet, R.; Verweij, M.; Vickovic, L.; Viesti, G.; Viinikainen, J.; Vilakazi, Z.; Villalobos Baillie, O.; Vinogradov, Y.; Vinogradov, L.; Vinogradov, A.; Virgili, T.; Viyogi, Y.P.; Vodopyanov, A.; Volkl, M.A.; Voloshin, S.; Voloshin, K.; Volpe, G.; von Haller, B.; Vorobyev, I.; Vranic, D.; Vrlakova, J.; Vulpescu, B.; Vyushin, A.; Wagner, V.; Wagner, B.; Wan, R.; Wang, Y.; Wang, Y.; Wang, M.; Watanabe, K.; Weber, M.; Wessels, J.P.; Westerhoff, U.; Wiechula, J.; Wikne, J.; Wilde, M.; Wilk, G.; Williams, M.C.S.; Windelband, B.; Winn, M.; Yaldo, C.G.; Yamaguchi, Y.; Yang, S.; Yang, P.; Yang, H.; Yasnopolskiy, S.; Yi, J.; Yin, Z.; Yoo, I.K.; Yoon, J.; Yuan, X.; Yushmanov, I.; Zaccolo, V.; Zach, C.; Zampolli, C.; Zaporozhets, S.; Zarochentsev, A.; Zavada, P.; Zaviyalov, N.; Zbroszczyk, H.; Zelnicek, P.; Zgura, I.S.; Zhalov, M.; Zhang, Y.; Zhang, H.; Zhang, X.; Zhou, D.; Zhou, Y.; Zhou, F.; Zhu, H.; Zhu, J.; Zhu, X.; Zichichi, A.; Zimmermann, A.; Zinovjev, G.; Zoccarato, Y.; Zynovyev, M.; Zyzak, M.

    2013-01-01

    ALICE is an LHC experiment devoted to the study of strongly interacting matter in proton--proton, proton--nucleus and nucleus--nucleus collisions at ultra-relativistic energies. The ALICE VZERO system, made of two scintillator arrays at asymmetric positions, one on each side of the interaction point, plays a central role in ALICE. In addition to its core function as a trigger, the VZERO system is used to monitor LHC beam conditions, to reject beam-induced backgrounds and to measure basic physics quantities such as luminosity, particle multiplicity, centrality and event plane direction in nucleus--nucleus collisions. After describing the VZERO system, this publication presents its performance over more than four years of operation at the LHC.

  17. ALICE physicists receive 2014 Lise Meitner Prize

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    On Wednesday, 3 September, four ALICE physicists were presented with the European Physical Society's 2014 Lise Meitner Prize for their outstanding contributions to nuclear physics (see here).   ALICE collaboration members Johanna Stachel (Heidelberg University, Germany), Peter Braun-Munzinger (GSI, Germany), Paolo Giubellino (INFN Turin, Italy, and CERN) and Jürgen Schukraft (CERN) were presented with their awards at a private ceremony held in the Globe of Science and Innovation. In addition to members of the ALICE collaboration, the ceremony was attended by members of the CERN Management including the Director-General, Rolf Heuer, as well as the EPS Nuclear Physics Board Chair, Douglas MacGregor, and the EPS Lise Meitner Prize Committee Chair, Victor Zamfir. For more information, please see "EPS honours CERN's heavy-ion researchers".  From left to right: Douglas MacGregor (EPS); Prize recipients Jürgen Schukraft,&a...

  18. Jet physics at the LHC with ALICE

    International Nuclear Information System (INIS)

    Morsch, A.

    2005-01-01

    In central Pb-Pb collisions at the LHC, jet rates are expected to be high at energies at which ALICE can reconstruct jets over the background of the underlying event. This will open the possibility to quantify the effect of partonic energy loss through medium induced gluon radiation, jet quenching, by detailed measurement of the modification of the longitudinal and transverse structure of identified jets. In order to obtain probes sensitive to the properties of the QCD medium, it is mandatory to measure the high-p T parton fragments together with the low-p T particles from the radiated gluons. Hence, the excellent charged particle tracking capabilities of ALICE combined with the proposed electromagnetic calorimeter for ALICE, EMCAL, represent an ideal tool for jet quenching studies at the LHC. (orig.)

  19. The ALICE Central Trigger Processor (CTP) upgrade

    International Nuclear Information System (INIS)

    Krivda, M.; Alexandre, D.; Barnby, L.S.; Evans, D.; Jones, P.G.; Jusko, A.; Lietava, R.; Baillie, O. Villalobos; Pospíšil, J.

    2016-01-01

    The ALICE Central Trigger Processor (CTP) at the CERN LHC has been upgraded for LHC Run 2, to improve the Transition Radiation Detector (TRD) data-taking efficiency and to improve the physics performance of ALICE. There is a new additional CTP interaction record sent using a new second Detector Data Link (DDL), a 2 GB DDR3 memory and an extension of functionality for classes. The CTP switch has been incorporated directly onto the new LM0 board. A design proposal for an ALICE CTP upgrade for LHC Run 3 is also presented. Part of the development is a low latency high bandwidth interface whose purpose is to minimize an overall trigger latency

  20. ALICE gives its first thesis awards

    CERN Multimedia

    2008-01-01

    For the first time the ALICE collaboration has given two of its doctoral students awards for their outstanding theses. Winners Christian Holm Christensen and Zaida Conesa del Valle holding their awards.On 29 October the ALICE collaboration honoured two students for their outstanding theses at a ceremony held at CERN. The two awards, one of which was given for a physics thesis and the other for a technical thesis, went to Zaida Conesa Del Valle (Laboratoire de physique subatomique et des technologies associées) and Christian Holm Christensen (Niels Bohr Institute) respectively. "It is very gratifying to see that the collaboration appreciates our work," said Zaida Conesa del Valle, winner of the physics award for her thesis: Performance of the ALICE Muon Spectrometer. Weak Boson Production and Measurement in Heavy Ion Collisions at the LHC. "I also feel specially thankful to all the people who worked with me," she added. "It was pl...

  1. Triggering with the ALICE TRD. Results and prospects

    Energy Technology Data Exchange (ETDEWEB)

    Klein, Jochen; Pachmayer, Yvonne [Physikalisches Institut, University of Heidelberg (Germany); Westerhoff, Uwe [Institut fuer Kernphysik, Universitaet Muenster (Germany); Collaboration: ALICE-Collaboration

    2015-07-01

    The ALICE Transition Radiation Detector provides multiple level-1 trigger contributions. The signatures are based on tracks which are reconstructed in an FPGA array from chamber-wise track segments. The latter are calculated on the detector-mounted frontend electronics. The massive parallelization allows for the low latency trigger 8 us after the interaction. We show the performance of the triggers on electrons and jets during LHC Run 1. Further, we discuss improvements and prospects for Run 2. In particular, an online calculation of the distance of closest approach to the primary vertex shall be used to reject the dominant background from the conversion of photons at large radii. The combination of tracks over stack and sector boundaries will help to improve the efficiency of the jet trigger.

  2. The DAQ needle in the big-data haystack

    Science.gov (United States)

    Meschi, E.

    2015-12-01

    In the last three decades, HEP experiments have faced the challenge of manipulating larger and larger masses of data from increasingly complex, heterogeneous detectors with millions and then tens of millions of electronic channels. LHC experiments abandoned the monolithic architectures of the nineties in favor of a distributed approach, leveraging the appearence of high speed switched networks developed for digital telecommunication and the internet, and the corresponding increase of memory bandwidth available in off-the-shelf consumer equipment. This led to a generation of experiments where custom electronics triggers, analysing coarser-granularity “fast” data, are confined to the first phase of selection, where predictable latency and real time processing for a modest initial rate reduction are “a necessary evil”. Ever more sophisticated algorithms are projected for use in HL- LHC upgrades, using tracker data in the low-level selection in high multiplicity environments, and requiring extremely complex data interconnects. These systems are quickly obsolete and inflexible but must nonetheless survive and be maintained across the extremely long life span of current detectors. New high-bandwidth bidirectional links could make high-speed low-power full readout at the crossing rate a possibility already in the next decade. At the same time, massively parallel and distributed analysis of unstructured data produced by loosely connected, “intelligent” sources has become ubiquitous in commercial applications, while the mass of persistent data produced by e.g. the LHC experiments has made multiple pass, systematic, end-to-end offline processing increasingly burdensome. A possible evolution of DAQ and trigger architectures could lead to detectors with extremely deep asynchronous or even virtual pipelines, where data streams from the various detector channels are analysed and indexed in situ quasi-real-time using intelligent, pattern-driven data organization, and

  3. The DAQ needle in the big-data haystack

    International Nuclear Information System (INIS)

    Meschi, E

    2015-01-01

    In the last three decades, HEP experiments have faced the challenge of manipulating larger and larger masses of data from increasingly complex, heterogeneous detectors with millions and then tens of millions of electronic channels. LHC experiments abandoned the monolithic architectures of the nineties in favor of a distributed approach, leveraging the appearence of high speed switched networks developed for digital telecommunication and the internet, and the corresponding increase of memory bandwidth available in off-the-shelf consumer equipment. This led to a generation of experiments where custom electronics triggers, analysing coarser-granularity “fast” data, are confined to the first phase of selection, where predictable latency and real time processing for a modest initial rate reduction are “a necessary evil”. Ever more sophisticated algorithms are projected for use in HL- LHC upgrades, using tracker data in the low-level selection in high multiplicity environments, and requiring extremely complex data interconnects. These systems are quickly obsolete and inflexible but must nonetheless survive and be maintained across the extremely long life span of current detectors.New high-bandwidth bidirectional links could make high-speed low-power full readout at the crossing rate a possibility already in the next decade. At the same time, massively parallel and distributed analysis of unstructured data produced by loosely connected, “intelligent” sources has become ubiquitous in commercial applications, while the mass of persistent data produced by e.g. the LHC experiments has made multiple pass, systematic, end-to-end offline processing increasingly burdensome.A possible evolution of DAQ and trigger architectures could lead to detectors with extremely deep asynchronous or even virtual pipelines, where data streams from the various detector channels are analysed and indexed in situ quasi-real-time using intelligent, pattern-driven data organization, and

  4. Memory is all: Alice B. Toklas

    OpenAIRE

    Janet Flanner

    2015-01-01

    An essay of Janet Flanner (1892–1978), American writer and journalist, European, mostly Paris correspondent of the magazine The New Yorker, titled Memory is all: Alice B. Toklas, was first published on 15 December 1975 in The New Yorker. The essay describes the life of Alice B. Toklas following the death of her lifelong partner, the writer Gertrude Stein, her efforts and work regarding the posthumous publication of Stein’s books, her care for Stein’s famous collection of paintings, but it als...

  5. Design and implementation of BESIII online farm

    International Nuclear Information System (INIS)

    Li Fei; Zhu Kejun; Wang Liang; Liu Yingjie; Chinese Academy of Sciences, Beijing

    2007-01-01

    New Beijing spectrometer (BESIII) data acquisition (DAQ) system need handle the high data rates, high speed network transmission and high storage capability requirements. The design and implementation of the BESIII online computing farm with IBM blade server, Linux and other free software are presented. The cluster system is running well currently, able to meet the needs of BESIII experiment and achieved some important results as online software debugging and testing platform. (authors)

  6. More than ALICE: Development of an augmented reality mobile application for the ALICE detector

    CERN Document Server

    Stamatouli, Anastasia

    2017-01-01

    More Than ALICE is a mobile application for iOS and Android devices. This project concerns the development of the v2.1 of the application which is meant to enhance the capacity of tracking quickly and reliably parts of the detector and its paper model. It recognises different parts of it and displays labels explaining its structure. Additionally, visualisation of the collisions can also be shown on the top of the camera image. More Than ALICE aims to increase the public awareness of the research goals of the ALICE collaboration. The application provides an Augmented Reality (AR) interface to track the detector during underground visits or its paper model which can be purchased at the ALICE secretariat. For those without access to either the detector or the paper model, the app provides the virtual model of the detector where the users can explore and understand the different parts of the detector and see real-time collisions.

  7. Memory is all: Alice B. Toklas

    Directory of Open Access Journals (Sweden)

    Janet Flanner

    2015-09-01

    Full Text Available An essay of Janet Flanner (1892–1978, American writer and journalist, European, mostly Paris correspondent of the magazine The New Yorker, titled Memory is all: Alice B. Toklas, was first published on 15 December 1975 in The New Yorker. The essay describes the life of Alice B. Toklas following the death of her lifelong partner, the writer Gertrude Stein, her efforts and work regarding the posthumous publication of Stein’s books, her care for Stein’s famous collection of paintings, but it also gives us some impressions of the very personality of Alice B. Toklas, while highlighting the Paris salon gatherings before World War II. Above all, it is a description of events, vulnerability and helplessness of Alice B. Toklas in the grip of inheritance interests that finally dispersed the very collection of paintings of Gertrude Stein, which “had had the benefit of her pure and sacred passion before price became one of their miraculous merits.” The essay was translated by Nataša Velikonja.

  8. ALICE TRD results from prototype tests

    CERN Document Server

    Andronic, A; Blume, C; Braun-Munzinger, P; Bucher, D; Catanescu, G; Ciobanu, M; Daues, H W; Devismes, A; Finck, C; Herrmann, N; Lister, T A; Mahmoud, Tariq; Peitzmann, Thomas; Petrovici, M; Reygers, K; Santo, R; Schicker, R; Sedykha, S; Simon, R S; Stachel, J; Stelzer, H; Wessels, J P; Winkelmann, O; Windelband, B; Xu, C

    2002-01-01

    We present results from tests of a prototype of the TRD for the ALICE experiment at LHC. We investigate the performance-of different radiator types, composed of foils, fibres and foams. The pion rejection performance for different methods of analysis over a momentum range from 0.7 to 2 GeV/c is presented. (8 refs).

  9. Playing around in Lewis Carroll's "Alice" Books

    Science.gov (United States)

    Susina, Jan

    2010-01-01

    Mathematician Charles Dodgson's love of play and his need for rules came together in his use of popular games as part of the structure of the two famous children's books, "Alice in Wonderland" and "Through the Looking-Glass," he wrote under the pseudonym Lewis Carroll. The author of this article looks at the interplay between…

  10. Installation of the ALICE dipole magnet

    CERN Multimedia

    Maximilien Brice

    2005-01-01

    The large dipole magnet is installed on the ALICE detector at CERN. This magnet, which is cooled by demineralised water, will bend the path of muons that leave the huge rectangular solenoid (in the background). These muons are heavy electrons that interact less with matter, allowing them to traverse the main section of the detector.

  11. Round Two for Three ALICE Industrial Awards

    CERN Multimedia

    2004-01-01

    Excellency in industrial collaboration with the LHC experimental teams is one important contribution to the successful development and realization of the experiments. A few weeks ago the ALICE collaboration presented a second round of awards to industrial collaborators for their novel and remarkable contributions to major detector systems.

  12. First detector installed inside the ALICE solenoid...

    CERN Multimedia

    2006-01-01

    ALICE's emblematic red magnet welcomed its first detector on 23 September, when the array of seven Cherenkov detectors, named HMPID, was successfully installed. ALICE team members standing in front of the completed HMPID detector.The red magnet, viewed from its front opening. The HMPID unit, seen from the back (top right corner of photo) is placed on a frame and lifted onto a platform during the installation. After the installation of the ACORDE scintillator array and the muon trigger and tracking chambers, the ALICE collaboration fitted the first detector inside the solenoid. The HMPID, for High Momentum Particle Identification, was installed at the 2 o'clock position in the central and most external region of the space frame, just below the solenoid yoke. It will be used to extend the hadron identification capability of the ALICE experiment up to 5 GeV/c, thus complementing the reach of the other particle identification systems (ITS, TPC and TOF). The HMPID is a Ring Imaging Cherenkov (RICH) detector in a...

  13. ALICE physicists receive 2014 Lise Meitner Prize

    CERN Multimedia

    Jeanneret, Guillaume

    2014-01-01

    September 3rd, 2014: ALICE collaboration members Johanna Stachel (Heidelberg University, Germany), Peter Braun-Munzinger (GSI, Germany), Paolo Giubellino (INFN Turin, Italy, and CERN) and Jürgen Schukraft (CERN) were presented the 2014 Lise Meitner Prize at a private ceremony held in the Globe of Science and Innovation.

  14. Development of ALICE microstrip detectors at IRST

    International Nuclear Information System (INIS)

    Boscardin, M.; Bosisio, L.; Dalla Betta, G.-F.; Gregori, P.; Rachevskaia, I.; Zorzi, N.

    2001-01-01

    We report on the development of double-sided, AC-coupled, microstrip detectors oriented to the A Large Ion Collider Experiment (ALICE). The main design and processing issues are presented, together with some selected results from the electrical characterization of detectors and related test structures

  15. ALICE Transition Radiation Detector (TRD), test beam.

    CERN Multimedia

    2003-01-01

    Electrons and positrons can be discriminated from other charged particles using the emission of transition radiation - X-rays emitted when the particles cross many layers of thin materials. To develop such a Transition Radiation Detector(TRD) for ALICE many detector prototypes were tested in mixed beams of pions and electrons, as in the example shown here.

  16. Fibre optic cables for the ALICE experiment

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    These thin fibres will transmit the signal received in detectors at the ALICE experiment when it starts up with the LHC in 2008. The analogue signals produced in the detectors are first converted into digital pulse, which are transported in light down such fibres. Computers then read this digital signal to produce the final set of data.

  17. Gender roles for Alice and Bob

    Science.gov (United States)

    Harris, Philip

    2013-04-01

    As the head of a department that is striving to achieve bronze status under the Athena SWAN (Scientific Women's Academic Network) programme, I have become extremely sensitive to gender stereotyping, and I am afraid that the "Alice and Bob" image on the cover of your March issue on quantum frontiers set off some alarm bells.

  18. Particle identification in ALICE: a Bayesian approach

    NARCIS (Netherlands)

    Adam, J.; Adamova, D.; Aggarwal, M. M.; Rinella, G. Aglieri; Agnello, M.; Agrawal, N.; Ahammed, Z.; Ahn, S. U.; Aiola, S.; Akindinov, A.; Alam, S. N.; Albuquerque, D. S. D.; Aleksandrov, D.; Alessandro, B.; Alexandre, D.; Alfaro Molina, R.; Alici, A.; Alkin, A.; Almaraz, J. R. M.; Alme, J.; Alt, T.; Altinpinar, S.; Altsybeev, I.; Alves Garcia Prado, C.; Andrei, C.; Andronic, A.; Anguelov, V.; Anticic, T.; Antinori, F.; Antonioli, P.; Aphecetche, L.; Appelshaeuser, H.; Arcelli, S.; Arnaldi, R.; Arnold, O. W.; Arsene, I. C.; Arslandok, M.; Audurier, B.; Augustinus, A.; Averbeck, R.; Azmi, M. D.; Badala, A.; Baek, Y. W.; Bagnasco, S.; Bailhache, R.; Bala, R.; Balasubramanian, S.; Baldisseri, A.; Baral, R. C.; Barbano, A. M.; Barbera, R.; Barile, F.; Barnafoeldi, G. G.; Barnby, L. S.; Barret, V.; Bartalini, P.; Barth, K.; Bartke, J.; Bartsch, E.; Basile, M.; Bastid, N.; Bathen, B.; Batigne, G.; Camejo, A. Batista; Batyunya, B.; Batzing, P. C.; Bearden, I. G.; Beck, H.; Bedda, C.; Behera, N. K.; Belikov, I.; Bellini, F.; Bello Martinez, H.; Bellwied, R.; Belmont, R.; Belmont-Moreno, E.; Belyaev, V.; Benacek, P.; Bencedi, G.; Beole, S.; Berceanu, I.; Bercuci, A.; Berdnikov, Y.; Berenyi, D.; Bertens, R. A.; Berzano, D.; Betev, L.; Bhasin, A.; Bhat, I. R.; Bhati, A. K.; Bhattacharjee, B.; Bhom, J.; Bianchi, L.; Bianchi, N.; Bianchin, C.; Bielcik, J.; Bielcikova, J.; Bilandzic, A.; Biro, G.; Biswas, R.; Biswas, S.; Bjelogrlic, S.; Blair, J. T.; Blau, D.; Blume, C.; Bock, F.; Bogdanov, A.; Boggild, H.; Boldizsar, L.; Bombara, M.; Book, J.; Borel, H.; Borissov, A.; Borri, M.; Bossu, F.; Botta, E.; Bourjau, C.; Braun-Munzinger, P.; Bregant, M.; Breitner, T.; Broker, T. A.; Browning, T. A.; Broz, M.; Brucken, E. J.; Bruna, E.; Bruno, G. E.; Budnikov, D.; Buesching, H.; Bufalino, S.; Buncic, P.; Busch, O.; Buthelezi, Z.; Butt, J. B.; Buxton, J. T.; Cabala, J.; Caffarri, D.; Cai, X.; Caines, H.; Diaz, L. Calero; Caliva, A.; Calvo Villar, E.; Camerini, P.; Carena, F.; Carena, W.; Carnesecchi, F.; Castellanos, J. Castillo; Castro, A. J.; Casula, E. A. R.; Sanchez, C. Ceballos; Cepila, J.; Cerello, P.; Cerkala, J.; Chang, B.; Chapeland, S.; Chartier, M.; Charvet, J. L.; Chattopadhyay, S.; Chattopadhyay, S.; Chauvin, A.; Chelnokov, V.; Cherney, M.; Cheshkov, C.; Cheynis, B.; Barroso, V. Chibante; Chinellato, D. D.; Cho, S.; Chochula, P.; Choi, K.; Chojnacki, M.; Choudhury, S.; Christakoglou, P.; Christensen, C. H.; Christiansen, P.; Chujo, T.; Cicalo, C.; Cifarelli, L.; Cindolo, F.; Cleymans, J.; Colamaria, F.; Colella, D.; Collu, A.; Colocci, M.; Balbastre, G. Conesa; del Valle, Z. Conesa; Connors, M. E.; Contreras, J. G.; Cormier, T. M.; Morales, Y. Corrales; Cortes Maldonado, I.; Cortese, P.; Cosentino, M. R.; Costa, F.; Crochet, P.; Cruz Albino, R.; Cuautle, E.; Cunqueiro, L.; Dahms, T.; Dainese, A.; Danisch, M. C.; Danu, A.; Das, I.; Das, S.; Dash, A.; Dash, S.; De, S.; De Caro, A.; de Cataldo, G.; de Conti, C.; de Cuveland, J.; De Falco, A.; De Gruttola, D.; De Marco, N.; De Pasquale, S.; Deisting, A.; Deloff, A.; Denes, E.; Deplano, C.; Dhankher, P.; Di Bari, D.; Di Mauro, A.; Di Nezza, P.; Corchero, M. A. Diaz; Dietel, T.; Dillenseger, P.; Divia, R.; Djuvsland, O.; Dobrin, A.; Gimenez, D. Domenicis; Doenigus, B.; Dordic, O.; Drozhzhova, T.; Dubey, A. K.; Dubla, A.; Ducroux, L.; Dupieux, P.; Ehlers, R. J.; Elia, D.; Endress, E.; Engel, H.; Epple, E.; Erazmus, B.; Erdemir, I.; Erhardt, F.; Espagnon, B.; Estienne, M.; Esumi, S.; Eum, J.; Evans, D.; Evdokimov, S.; Eyyubova, G.; Fabbietti, L.; Fabris, D.; Faivre, J.; Fantoni, A.; Fasel, M.; Feldkamp, L.; Feliciello, A.; Feofilov, G.; Ferencei, J.; Fernandez Tellez, A.; Ferreiro, E. G.; Ferretti, A.; Festanti, A.; Feuillard, V. J. G.; Figiel, J.; Figueredo, M. A. S.; Filchagin, S.; Finogeev, D.; Fionda, F. M.; Fiore, E. M.; Fleck, M. G.; Floris, M.; Foertsch, S.; Foka, P.; Fokin, S.; Fragiacomo, E.; Francescon, A.; Frankenfeld, U.; Fronze, G. G.; Fuchs, U.; Furget, C.; Furs, A.; Girard, M. Fusco; Gaardhoje, J. J.; Gagliardi, M.; Gago, A. M.; Gallio, M.; Gangadharan, D. R.; Ganoti, P.; Gao, C.; Garabatos, C.; Garcia-Solis, E.; Gargiulo, C.; Gasik, P.; Gauger, E. F.; Germain, M.; Gheata, A.; Gheata, M.; Gianotti, P.; Giubellino, P.; Giubilato, P.; Gladysz-Dziadus, E.; Glaessel, P.; Gomez Coral, D. M.; Ramirez, A. Gomez; Gonzalez, A. S.; Gonzalez, V.; Gonzalez-Zamora, P.; Gorbunov, S.; Goerlich, L.; Gotovac, S.; Grabski, V.; Grachov, O. A.; Graczykowski, L. K.; Graham, K. L.; Grelli, A.; Grigoras, A.; Grigoras, C.; Grigoriev, V.; Grigoryan, A.; Grigoryan, S.; Grinyov, B.; Grion, N.; Gronefeld, J. M.; Grosse-Oetringhaus, J. F.; Grosso, R.; Guber, F.; Guernane, R.; Guerzoni, B.; Gulbrandsen, K.; Gunji, T.; Gupta, A.; Haake, R.; Haaland, O.; Hadjidakis, C.; Haiduc, M.; Hamagaki, H.; Hamar, G.; Hamon, J. C.; Harris, J. W.; Harton, A.; Hatzifotiadou, D.; Hayashi, S.; Heckel, S. T.; Hellbaer, E.; Helstrup, H.; Herghelegiu, A.; Herrera Corral, G.; Hess, B. A.; Hetland, K. F.; Hillemanns, H.; Hippolyte, B.; Horak, D.; Hosokawa, R.; Hristov, P.; Humanic, T. J.; Hussain, N.; Hussain, T.; Hutter, D.; Hwang, D. S.; Ilkaev, R.; Inaba, M.; Incani, E.; Ippolitov, M.; Irfan, M.; Ivanov, M.; Ivanov, V.; Izucheev, V.; Jacazio, N.; Jadhav, M. B.; Jadlovska, S.; Jadlovsky, J.; Jahnke, C.; Jakubowska, M. J.; Jang, H. J.; Janik, M. A.; Jayarathna, P. H. S. Y.; Jena, C.; Jena, S.; Bustamante, R. T. Jimenez; Jones, P. G.; Jusko, A.; Kalinak, P.; Kalweit, A.; Kamin, J.; Kaplin, V.; Kar, S.; Uysal, A. Karasu; Karavichev, O.; Karavicheva, T.; Karayan, L.; Karpechev, E.; Kebschull, U.; Keidel, R.; Keijdener, D. L. D.; Keil, M.; Khan, M. Mohisin; Khan, P.; Khan, S. A.; Khanzadeev, A.; Kharlov, Y.; Kileng, B.; Kim, D. W.; Kim, D. J.; Kim, D.; Kim, J. S.; Kim, M.; Kim, T.; Kirsch, S.; Kisel, I.; Kiselev, S.; Kisiel, A.; Kiss, G.; Klay, J. L.; Klein, C.; Klein-Boesing, C.; Klewin, S.; Kluge, A.; Knichel, M. L.; Knospe, A. G.; Kobdaj, C.; Kofarago, M.; Kollegger, T.; Kolojvari, A.; Kondratiev, V.; Kondratyeva, N.; Kondratyuk, E.; Konevskikh, A.; Kopcik, M.; Kostarakis, P.; Kour, M.; Kouzinopoulos, C.; Kovalenko, O.; Kovalenko, V.; Kowalski, M.; Meethaleveedu, G. Koyithatta; Kralik, I.; Kravcakova, A.; Krivda, M.; Krizek, F.; Kryshen, E.; Krzewicki, M.; Kubera, A. M.; Kucera, V.; Kuijer, P. G.; Kumar, J.; Kumar, L.; Kumar, S.; Kurashvili, P.; Kurepin, A.; Kurepin, A. B.; Kuryakin, A.; Kweon, M. J.; Kwon, Y.; La Pointe, S. L.; La Rocca, P.; Ladron de Guevara, P.; Lagana Fernandes, C.; Lakomov, I.; Langoy, R.; Lara, C.; Lardeux, A.; Lattuca, A.; Laudi, E.; Lea, R.; Leardini, L.; Lee, G. R.; Lee, S.; Lehas, F.; Lemmon, R. C.; Lenti, V.; Leogrande, E.; Monzon, I. Leon; Leon Vargas, H.; Leoncino, M.; Levai, P.; Lien, J.; Lietava, R.; Lindal, S.; Lindenstruth, V.; Lippmann, C.; Lisa, M. A.; Ljunggren, H. M.; Lodato, D. F.; Loenne, P. I.; Loginov, V.; Loizides, C.; Lopez, X.; Torres, E. Lopez; Lowe, A.; Luettig, P.; Lunardon, M.; Luparello, G.; Lutz, T. H.; Maevskaya, A.; Mager, M.; Mahajan, S.; Mahmood, S. M.; Maire, A.; Majka, R. D.; Malaev, M.; Maldonado Cervantes, I.; Malinina, L.; Mal'Kevich, D.; Malzacher, P.; Mamonov, A.; Manko, V.; Manso, F.; Manzari, V.; Marchisone, M.; Mares, J.; Margagliotti, G. V.; Margotti, A.; Margutti, J.; Marin, A.; Markert, C.; Marquard, M.; Martin, N. A.; Blanco, J. Martin; Martinengo, P.; Martinez, M. I.; Garcia, G. Martinez; Pedreira, M. Martinez; Mas, A.; Masciocchi, S.; Masera, M.; Masoni, A.; Mastroserio, A.; Matyja, A.; Mayer, C.; Mazer, J.; Mazzoni, M. A.; Mcdonald, D.; Meddi, F.; Melikyan, Y.; Menchaca-Rocha, A.; Meninno, E.; Perez, J. Mercado; Meres, M.; Miake, Y.; Mieskolainen, M. M.; Mikhaylov, K.; Milano, L.; Milosevic, J.; Mischke, A.; Mishra, A. N.; Miskowiec, D.; Mitra, J.; Mitu, C. M.; Mohammadi, N.; Mohanty, B.; Molnar, L.; Montano Zetina, L.; Montes, E.; De Godoy, D. A. Moreira; Moreno, L. A. P.; Moretto, S.; Morreale, A.; Morsch, A.; Muccifora, V.; Mudnic, E.; Muehlheim, D.; Muhuri, S.; Mukherjee, M.; Mulligan, J. D.; Munhoz, M. G.; Munzer, R. H.; Murakami, H.; Murray, S.; Musa, L.; Musinsky, J.; Naik, B.; Nair, R.; Nandi, B. K.; Nania, R.; Nappi, E.; Naru, M. U.; Natal da Luz, H.; Nattrass, C.; Navarro, S. R.; Nayak, K.; Nayak, R.; Nayak, T. K.; Nazarenko, S.; Nedosekin, A.; Nellen, L.; Ng, F.; Nicassio, M.; Niculescu, M.; Niedziela, J.; Nielsen, B. S.; Nikolaev, S.; Nikulin, S.; Nikulin, V.; Noferini, F.; Nomokonov, P.; Nooren, G.; Noris, J. C. C.; Norman, J.; Nyanin, A.; Nystrand, J.; Oeschler, H.; Oh, S.; Oh, S. K.; Ohlson, A.; Okatan, A.; Okubo, T.; Olah, L.; Oleniacz, J.; Oliveira Da Silva, A. C.; Oliver, M. H.; Onderwaater, J.; Oppedisano, C.; Orava, R.; Oravec, M.; Ortiz Velasquez, A.; Oskarsson, A.; Otwinowski, J.; Oyama, K.; Ozdemir, M.; Pachmayer, Y.; Pagano, D.; Pagano, P.; Paic, G.; Pal, S. K.; Pan, J.; Papikyan, V.; Pappalardo, G. S.; Pareek, P.; Park, W. J.; Parmar, S.; Passfeld, A.; Paticchio, V.; Patra, R. N.; Paul, B.; Pei, H.; Peitzmann, T.; Da Costa, H. Pereira; Peresunko, D.; Lara, C. E. Perez; Lezama, E. Perez; Peskov, V.; Pestov, Y.; Petracek, V.; Petrov, V.; Petrovici, M.; Petta, C.; Piano, S.; Pikna, M.; Pillot, P.; Pimentel, L. O. D. L.; Pinazza, O.; Pinsky, L.; Piyarathna, D. B.; Ploskon, M.; Planinic, M.; Pluta, J.; Pochybova, S.; Podesta-Lerma, P. L. M.; Poghosyan, M. G.; Polichtchouk, B.; Poljak, N.; Poonsawat, W.; Pop, A.; Porteboeuf-Houssais, S.; Porter, J.; Pospisil, J.; Prasad, S. K.; Preghenella, R.; Prino, F.; Pruneau, C. A.; Pshenichnov, I.; Puccio, M.; Puddu, G.; Pujahari, P.; Punin, V.; Putschke, J.; Qvigstad, H.; Rachevski, A.; Raha, S.; Rajput, S.; Rak, J.; Rakotozafindrabe, A.; Ramello, L.; Rami, F.; Raniwala, R.; Raniwala, S.; Raesaenen, S. S.; Rascanu, B. T.; Rathee, D.; Read, K. F.; Redlich, K.; Reed, R. J.; Reichelt, P.; Reidt, F.; Ren, X.; Renfordt, R.; Reolon, A. R.; Reshetin, A.; Reygers, K.; Riabov, V.; Ricci, R. A.; Richert, T.; Richter, M.; Riedler, P.; Riegler, W.; Riggi, F.; Ristea, C.; Rocco, E.; Rodriguez Cahuantzi, M.; Manso, A. Rodriguez; Roed, K.; Rogochaya, E.; Rohr, D.; Roehrich, D.; Ronchetti, F.; Ronflette, L.; Rosnet, P.; Rossi, A.; Roukoutakis, F.; Roy, A.; Roy, C.; Roy, P.; Montero, A. J. Rubio; Rui, R.; Russo, R.; Ryabinkin, E.; Ryabov, Y.; Rybicki, A.; Saarinen, S.; Sadhu, S.; Sadovsky, S.; Safarik, K.; Sahlmuller, B.; Sahoo, P.; Sahoo, R.; Sahoo, S.; Sahu, P. K.; Saini, J.; Sakai, S.; Saleh, M. A.; Salzwedel, J.; Sambyal, S.; Samsonov, V.; Sandor, L.; Sandoval, A.; Sano, M.; Sarkar, D.; Sarkar, N.; Sarma, P.; Scapparone, E.; Scarlassara, F.; Schiaua, C.; Schicker, R.; Schmidt, C.; Schmidt, H. R.; Schuchmann, S.; Schukraft, J.; Schulc, M.; Schutz, Y.; Schwarz, K.; Schweda, K.; Scioli, G.; Scomparin, E.; Scott, R.; Sefcik, M.; Seger, J. E.; Sekiguchi, Y.; Sekihata, D.; Selyuzhenkov, I.; Senosi, K.; Senyukov, S.; Serradilla, E.; Sevcenco, A.; Shabanov, A.; Shabetai, A.; Shadura, O.; Shahoyan, R.; Shahzad, M. I.; Shangaraev, A.; Sharma, M.; Sharma, M.; Sharma, N.; Sheikh, A. I.; Shigaki, K.; Shou, Q.; Shtejer, K.; Sibiriak, Y.; Siddhanta, S.; Sielewicz, K. M.; Siemiarczuk, T.; Silvermyr, D.; Silvestre, C.; Simatovic, G.; Simonetti, G.; Singaraju, R.; Singh, R.; Singha, S.; Singhal, V.; Sinha, B. C.; Sinha, T.; Sitar, B.; Sitta, M.; Skaali, T. B.; Slupecki, M.; Smirnov, N.; Snellings, R. J. M.; Snellman, T. W.; Song, J.; Song, M.; Song, Z.; Soramel, F.; Sorensen, S.; de Souza, R. D.; Sozzi, F.; Spacek, M.; Spiriti, E.; Sputowska, I.; Spyropoulou-Stassinaki, M.; Stachel, J.; Stan, I.; Stankus, P.; Stenlund, E.; Steyn, G.; Stiller, J. H.; Stocco, D.; Strmen, P.; Suaide, A. A. P.; Sugitate, T.; Suire, C.; Suleymanov, M.; Suljic, M.; Sultanov, R.; Sumbera, M.; Sumowidagdo, S.; Szabo, A.; Szanto de Toledo, A.; Szarka, I.; Szczepankiewicz, A.; Szymanski, M.; Tabassam, U.; Takahashi, J.; Tambave, G. J.; Tanaka, N.; Tarhini, M.; Tariq, M.; Tarzila, M. G.; Tauro, A.; Tejeda Munoz, G.; Telesca, A.; Terasaki, K.; Terrevoli, C.; Teyssier, B.; Thaeder, J.; Thakur, D.; Thomas, D.; Tieulent, R.; Timmins, A. R.; Toia, A.; Trogolo, S.; Trombetta, G.; Trubnikov, V.; Trzaska, W. H.; Tsuji, T.; Tumkin, A.; Turrisi, R.; Tveter, T. S.; Ullaland, K.; Uras, A.; Usai, G. L.; Utrobicic, A.; Vala, M.; Palomo, L. Valencia; Vallero, S.; Van Der Maarel, J.; Van Hoorne, J. W.; van Leeuwen, M.; Vanat, T.; Vyvre, P. Vande; Varga, D.; Vargas, A.; Vargyas, M.; Varma, R.; Vasileiou, M.; Vasiliev, A.; Vauthier, A.; Vechernin, V.; Veen, A. M.; Veldhoen, M.; Velure, A.; Vercellin, E.; Vergara Limon, S.; Vernet, R.; Verweij, M.; Vickovic, L.; Viesti, G.; Viinikainen, J.; Vilakazi, Z.; Baillie, O. Villalobos; Villatoro Tello, A.; Vinogradov, A.; Vinogradov, L.; Vinogradov, Y.; Virgili, T.; Vislavicius, V.; Viyogi, Y. P.; Vodopyanov, A.; Voelkl, M. A.; Voloshin, K.; Voloshin, S. A.; Volpe, G.; von Haller, B.; Vorobyev, I.; Vranic, D.; Vrlakova, J.; Vulpescu, B.; Wagner, B.; Wagner, J.; Wang, H.; Watanabe, D.; Watanabe, Y.; Weiser, D. F.; Westerhoff, U.; Whitehead, A. M.; Wiechula, J.; Wikne, J.; Wilk, G.; Wilkinson, J.; Williams, M. C. S.; Windelband, B.; Winn, M.; Yang, H.; Yano, S.; Yasin, Z.; Yokoyama, H.; Yoo, I. -K.; Yoon, J. H.; Yurchenko, V.; Yushmanov, I.; Zaborowska, A.; Zaccolo, V.; Zaman, A.; Zampolli, C.; Zanoli, H. J. C.; Zaporozhets, S.; Zardoshti, N.; Zarochentsev, A.; Zavada, P.; Zaviyalov, N.; Zbroszczyk, H.; Zgura, I. S.; Zhalov, M.; Zhang, C.; Zhao, C.; Zhigareva, N.; Zhou, Y.; Zhou, Z.; Zhu, H.; Zichichi, A.; Zimmermann, A.; Zimmermann, M. B.; Zinovjev, G.; Zyzak, M.

    2016-01-01

    We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian

  19. Alice, Greenfoot, and Scratch--A Discussion

    Science.gov (United States)

    Utting, Ian; Cooper, Stephen; Kolling, Michael; Maloney, John; Resnick, Mitchel

    2010-01-01

    This article distills a discussion about the goals, mechanisms, and effects of three environments which aim to support the acquisition and development of computing concepts (problem solving and programming) in pre-University and non-technical students: Alice, Greenfoot, and Scratch. The conversation started in a special session on the topic at the…

  20. Particle identification in ALICE: a Bayesian approach

    Czech Academy of Sciences Publication Activity Database

    Adam, J.; Adamová, Dagmar; Benáček, Pavel; Bielčík, J.; Bielčíková, Jana; Brož, M.; Čepila, J.; Contreras, J. G.; Eyyubova, G.; Ferencei, Jozef; Horák, D.; Křížek, Filip; Kučera, Vít; Mareš, Jiří A.; Petráček, V.; Pospíšil, Jan; Schulc, M.; Špaček, M.; Šumbera, Michal; Vaňát, Tomáš; Závada, Petr

    2016-01-01

    Roč. 131, č. 5 (2016), s. 168 ISSN 2190-5444 R&D Projects: GA MŠk(CZ) LG13031 Institutional support: RVO:68378271 ; RVO:61389005 Keywords : ALICE collaboration * heavy ion collisions Subject RIV: BG - Nuclear, Atomic and Molecular Physics, Colliders; BF - Elementary Particles and High Energy Physics (FZU-D) Impact factor: 1.753, year: 2016

  1. The ALICE experiment at the CERN LHC

    NARCIS (Netherlands)

    Aamodt, K.; de Haas, A.P.; Grebenyuk, O.|info:eu-repo/dai/nl/304848883; Ivan, C.G.|info:eu-repo/dai/nl/304847747; Kamermans, R.|info:eu-repo/dai/nl/073698733; Mischke, A.|info:eu-repo/dai/nl/325781435; Nooren, G.J.L.|info:eu-repo/dai/nl/07051349X; Oskamp, C.J.; Peitzmann, T.|info:eu-repo/dai/nl/304833959; Simili, E.; van den Brink, A.; van Eijndhoven, N.J.A.M.|info:eu-repo/dai/nl/072823674; Yuting, B.

    2008-01-01

    ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy

  2. ALICE: Physics Performance Report, Volume II

    International Nuclear Information System (INIS)

    Alessandro, B; Antinori, F; Belikov, J A

    2006-01-01

    ALICE is a general-purpose heavy-ion experiment designed to study the physics of strongly interacting matter and the quark-gluon plasma in nucleus-nucleus collisions at the LHC. It currently involves more than 900 physicists and senior engineers, from both the nuclear and high-energy physics sectors, from over 90 institutions in about 30 countries. The ALICE detector is designed to cope with the highest particle multiplicities above those anticipated for Pb-Pb collisions (dN ch /dy up to 8000) and it will be operational at the start-up of the LHC. In addition to heavy systems, the ALICE Collaboration will study collisions of lower-mass ions, which are a means of varying the energy density, and protons (both pp and pA), which primarily provide reference data for the nucleus-nucleus collisions. In addition, the pp data will allow for a number of genuine pp physics studies. The detailed design of the different detector systems has been laid down in a number of Technical Design Reports issued between mid-1998 and the end of 2004. The experiment is currently under construction and will be ready for data taking with both proton and heavy-ion beams at the start-up of the LHC. Since the comprehensive information on detector and physics performance was last published in the ALICE Technical Proposal in 1996, the detector, as well as simulation, reconstruction and analysis software have undergone significant development. The Physics Performance Report (PPR) provides an updated and comprehensive summary of the performance of the various ALICE subsystems, including updates to the Technical Design Reports, as appropriate. The PPR is divided into two volumes. Volume I, published in 2004 (CERN/LHCC 2003-049, ALICE Collaboration 2004 J. Phys. G: Nucl. Part. Phys. 30 1517-1763), contains in four chapters a short theoretical overview and an extensive reference list concerning the physics topics of interest to ALICE, the experimental conditions at the LHC, a short summary and update

  3. DAQ system for testing RPC front-end electronics of the INO experiment

    International Nuclear Information System (INIS)

    Hari Prasad, K.; Sukhwani, Menka; Kesarkar, Tushar A.; Kumar, Sandeep; Chandratre, V.B.; Das, D.; Shinde, R.R.; Satyanarayana, B.

    2015-01-01

    The Resistive Plate Chamber (RPC) is the active detector element in the INO experiment. The in-house developed ANUSPARSH-III ASICs are being used as front-end electronics of the detector. The 2 m X 2 m RPC being used has 64-readout channels on X-side and 64-readout channels on Y-side. In order to test and validate the FE along with the RPC, a 64-channel DAQ system has been designed and developed. The detector parameters to be measured are noise rate, efficiency, hit pattern register and time resolution. The salient features of the DAQ system are: 64-channel LVDS receiver in FPGA, FPGA based parameter calculations and a micro controller for acquiring the processed data from FPGAs and sent through Ethernet and USB interfaces. The DAQ system consists of following parts: Two FPGAs each receiving 32 LVDS channels, FPGA firm-ware, micro controller firm-ware, Ethernet interface, embedded web server hosting data analysis software, USB interface, and Lab-windows based data analysis software. The DAQ system has been tested at TIFR with 1 m X 1 m RPC

  4. Front-end DAQ strategy and implementation for the KLOE-2 experiment

    Science.gov (United States)

    Branchini, P.; Budano, A.; Balla, A.; Beretta, M.; Ciambrone, P.; De Lucia, E.; D'Uffizi, A.; Marciniewski, P.

    2013-04-01

    A new front-end data acquisition (DAQ) system has been conceived for the data collection of the new detectors which will be installed by the KLOE2 collaboration. This system consists of a general purpose FPGA based DAQ module and a VME board hosting up to 16 optical links. The DAQ module has been built around a Virtex-4 FPGA and it is able to acquire up to 1024 different channels distributed over 16 front-end slave cards. Each module is a general interface board (GIB) which performs also first level data concentration tasks. The GIB has an optical interface, a RS-232, an USB and a Gigabit Ethernet Interface. The optical interface will be used for DAQ purposes while the Gigabit Ethernet interface for monitoring tasks and debug. Two new detectors exploit this strategy to collect data. Optical links are used to deliver data to the VME board which performs data concentration tasks. The return optical link from the board to the GIB is used to initialize the front-end cards. The VME interface of the module implements the VME 2eSST protocol in order to sustain a peak data rate of up to 320 MB/s. At the moment the system is working at the Frascati National Laboratory (LNF).

  5. Front-end DAQ strategy and implementation for the KLOE-2 experiment

    International Nuclear Information System (INIS)

    Branchini, P; Budano, A; Balla, A; Beretta, M; Ciambrone, P; Lucia, E De; D'Uffizi, A; Marciniewski, P

    2013-01-01

    A new front-end data acquisition (DAQ) system has been conceived for the data collection of the new detectors which will be installed by the KLOE2 collaboration. This system consists of a general purpose FPGA based DAQ module and a VME board hosting up to 16 optical links. The DAQ module has been built around a Virtex-4 FPGA and it is able to acquire up to 1024 different channels distributed over 16 front-end slave cards. Each module is a general interface board (GIB) which performs also first level data concentration tasks. The GIB has an optical interface, a RS-232, an USB and a Gigabit Ethernet Interface. The optical interface will be used for DAQ purposes while the Gigabit Ethernet interface for monitoring tasks and debug. Two new detectors exploit this strategy to collect data. Optical links are used to deliver data to the VME board which performs data concentration tasks. The return optical link from the board to the GIB is used to initialize the front-end cards. The VME interface of the module implements the VME 2eSST protocol in order to sustain a peak data rate of up to 320 MB/s. At the moment the system is working at the Frascati National Laboratory (LNF).

  6. A Web 2.0 approach to DAQ monitoring and controlling

    Energy Technology Data Exchange (ETDEWEB)

    Penschuck, Manuel [Goethe-Universitaet, Frankfurt (Germany); Collaboration: TRB3-Collaboration

    2014-07-01

    In the scope of experimental set-ups for the upcoming FAIR experiments, a FPGA-based general purpose trigger and read-out board (TRB3) has been developed which is already in use in several detector set-ups (e.g. HADES, CBM-MVD, PANDA). For on- and off-board communication between the DAQ's subsystems, TrbNet, a specialised high-speed, low-latency network protocol developed for the DAQ system of the HADES detector, is used. Communication with any computer infrastructure is provided by Gigabit Ethernet. Monitoring and configuration of all DAQ systems and front-end electronics is consistently managed by the powerful slow-control features of TrbNet and supported by a flexible and mature software tool-chain, designed to meet the diverse requirements during development, setup phase and experiment. Most building blocks offer a graphical-user-interface (GUI) implemented using omnipresent web 2.0 technologies, which enable rapid prototyping, network transparent access and impose minimal software dependencies on the client's machine. This contribution will present the GUI-related features and infrastructure highlighting the multiple interfaces from the DAQ's slow-control to the client's web-browser.

  7. Status of the Melbourne experimental particle physics DAQ, silicon hodoscope and readout systems

    International Nuclear Information System (INIS)

    Moorhead, G.F.

    1995-01-01

    This talk will present a brief review of the current status of the Melbourne Experimental Particle Physics group's primary data acquisition system (DAQ), the associated silicon hodoscope and trigger systems, and of the tests currently underway and foreseen. Simulations of the propagation of 106-Ru β particles through the system will also be shown

  8. Data Acquisition (DAQ) system dedicated for remote sensing applications on Unmanned Aerial Vehicles (UAV)

    Science.gov (United States)

    Keleshis, C.; Ioannou, S.; Vrekoussis, M.; Levin, Z.; Lange, M. A.

    2014-08-01

    Continuous advances in unmanned aerial vehicles (UAV) and the increased complexity of their applications raise the demand for improved data acquisition systems (DAQ). These improvements may comprise low power consumption, low volume and weight, robustness, modularity and capability to interface with various sensors and peripherals while maintaining the high sampling rates and processing speeds. Such a system has been designed and developed and is currently integrated on the Autonomous Flying Platforms for Atmospheric and Earth Surface Observations (APAESO/NEA-YΠOΔOMH/NEKΠ/0308/09) however, it can be easily adapted to any UAV or any other mobile vehicle. The system consists of a single-board computer with a dual-core processor, rugged surface-mount memory and storage device, analog and digital input-output ports and many other peripherals that enhance its connectivity with various sensors, imagers and on-board devices. The system is powered by a high efficiency power supply board. Additional boards such as frame-grabbers, differential global positioning system (DGPS) satellite receivers, general packet radio service (3G-4G-GPRS) modems for communication redundancy have been interfaced to the core system and are used whenever there is a mission need. The onboard DAQ system can be preprogrammed for automatic data acquisition or it can be remotely operated during the flight from the ground control station (GCS) using a graphical user interface (GUI) which has been developed and will also be presented in this paper. The unique design of the GUI and the DAQ system enables the synchronized acquisition of a variety of scientific and UAV flight data in a single core location. The new DAQ system and the GUI have been successfully utilized in several scientific UAV missions. In conclusion, the novel DAQ system provides the UAV and the remote-sensing community with a new tool capable of reliably acquiring, processing, storing and transmitting data from any sensor integrated

  9. A simulation of the SDC on-line processing farm

    International Nuclear Information System (INIS)

    Wang, C.; Chen, Y.; Dorenbosch, J.; Lee, J.; Sayle, R.

    1993-10-01

    In the Solenoidal Detector Collaboration (SDC) data acquisition system (DAQ), an enormous amount of data flows into a processor farm for extraction of interesting physics events. To design an efficient on-line filter, the operations in the farm must be carefully modeled. The authors present a simulation model developed at the Superconducting Super Collider Laboratory which efficiently allocates physics events to the farm

  10. The scene is set for ALICE

    CERN Multimedia

    2008-01-01

    Now that the electromagnetic calorimeter support and the mini space frame have been installed, practically all ALICE’s infrastructure is in place. The calorimeter support, an austenitic stainless steel shell weighing 30 tonnes, was slid gently inside the detector, in between the face of the magnet and the space frame. With the completion of two major installation projects, the scene is finally set for the ALICE experiment…or at least it nearly is, as a few design studies, minor installation jobs and measurements still need to be carried out before the curtain can finally be raised. The experiment’s chief engineer Diego Perini confirms: "All the heavy infrastructure for ALICE has been in place and ready for the grand opening since December 2007." The next step will be the installation of additional modules on the TOF and TRD detectors between January and March 2008, and physicists have already started testing the equipment with co...

  11. Performance optimisations for distributed analysis in ALICE

    CERN Document Server

    Betev, L; Gheata, M; Grigoras, C; Hristov, P

    2014-01-01

    Performance is a critical issue in a production system accommodating hundreds of analysis users. Compared to a local session, distributed analysis is exposed to services and network latencies, remote data access and heterogeneous computing infrastructure, creating a more complex performance and efficiency optimization matrix. During the last 2 years, ALICE analysis shifted from a fast development phase to the more mature and stable code. At the same time, the framewo rks and tools for deployment, monitoring and management of large productions have evolved considerably too. The ALICE Grid production system is currently used by a fair share of organized and individual user analysis, consuming up to 30% or the available r esources and ranging from fully I/O - bound analysis code to CPU intensive correlations or resonances studies. While the intrinsic analysis performance is unlikely to improve by a large factor during the LHC long shutdown (LS1), the overall efficiency of the system has still to be improved by a...

  12. The Wonderland of Operating the ALICE Experiment

    CERN Document Server

    Augustinus, A; Pinazza, O; Rosinský, P; Lechman, M; Jirdén, L; Chochula, P

    2011-01-01

    ALICE is one of the experiments at the Large Hadron Collider (LHC), CERN, Geneva, Switzerland. Composed of 18 sub-detectors each with numerous subsystems that need to be controlled and operated in a safe and efficient way. The Detector Control System (DCS) is the key to this and has been used by detector experts with success during the commissioning of the individual detectors. During the transition from commissioning to operation, more and more tasks were transferred from detector experts to central operators. By the end of the 2010 datataking campaign, the ALICE experiment was run by a small crew of central operators, with only a single controls operator. The transition from expert to non-expert operation constituted a real challenge in terms of tools, documentation and training. A relatively high turnover and diversity in the operator crew that is specific to the HEP experiment environment (as opposed to the more stable operation crews for accelerators) made this challenge even bigger. Thi...

  13. New Fast Interaction Trigger for ALICE

    Energy Technology Data Exchange (ETDEWEB)

    Trzaska, Wladyslaw Henryk

    2017-02-11

    The LHC heavy-ion luminosity and collision rate from 2021 onwards will considerably exceed the design parameters of the present ALICE forward trigger detectors and the introduction of the Muon Forward Tracker (MFT) will significantly reduce the space available for the new trigger detectors. To comply with these conditions a new Fast Interaction Trigger (FIT) will be built. FIT will be the main forward trigger, luminometer, and interaction-time detector. It will also determine multiplicity, centrality, and reaction plane of heavy-ion collisions. FIT will consist of two arrays of Cherenkov quartz radiators with MCP-PMT sensors and of a plastic scintillator ring. By increasing the overall acceptance of FIT, the scintillator will improve centrality and event plane resolution. It will also add sensitivity for the detection of beam-gas events and provide some degree of redundancy. FIT is currently undergoing an intense R&D and prototyping period. It is scheduled for installation in ALICE during 2020.

  14. ATLAS, CMS, LHCb and ALICE Career Networking Event 2015

    CERN Multimedia

    Marinov, Andrey; Strom, Derek Axel

    2015-01-01

    A networking event for alumni of the ATLAS, CMS, LHCb and ALICE experiments as well as current ATLAS/CMS/LHCb/ALICE postdocs and graduate students. This event offers an insight into career opportunities outside of academia. Various former members of the ATLAS, CMS, LHCb and ALICE collaborations will give presentations and be part of a panel discussion and elaborate on their experience in companies in a diverse range of fields (industry, finance, IT,...). Details at https://indico.cern.ch/event/440616

  15. The ALICE Software Release Validation cluster

    International Nuclear Information System (INIS)

    Berzano, D; Krzewicki, M

    2015-01-01

    One of the most important steps of software lifecycle is Quality Assurance: this process comprehends both automatic tests and manual reviews, and all of them must pass successfully before the software is approved for production. Some tests, such as source code static analysis, are executed on a single dedicated service: in High Energy Physics, a full simulation and reconstruction chain on a distributed computing environment, backed with a sample “golden” dataset, is also necessary for the quality sign off. The ALICE experiment uses dedicated and virtualized computing infrastructures for the Release Validation in order not to taint the production environment (i.e. CVMFS and the Grid) with non-validated software and validation jobs: the ALICE Release Validation cluster is a disposable virtual cluster appliance based on CernVM and the Virtual Analysis Facility, capable of deploying on demand, and with a single command, a dedicated virtual HTCondor cluster with an automatically scalable number of virtual workers on any cloud supporting the standard EC2 interface. Input and output data are externally stored on EOS, and a dedicated CVMFS service is used to provide the software to be validated. We will show how the Release Validation Cluster deployment and disposal are completely transparent for the Release Manager, who simply triggers the validation from the ALICE build system's web interface. CernVM 3, based entirely on CVMFS, permits to boot any snapshot of the operating system in time: we will show how this allows us to certify each ALICE software release for an exact CernVM snapshot, addressing the problem of Long Term Data Preservation by ensuring a consistent environment for software execution and data reprocessing in the future. (paper)

  16. Performance optimisations for distributed analysis in ALICE

    International Nuclear Information System (INIS)

    Betev, L; Gheata, A; Grigoras, C; Hristov, P; Gheata, M

    2014-01-01

    Performance is a critical issue in a production system accommodating hundreds of analysis users. Compared to a local session, distributed analysis is exposed to services and network latencies, remote data access and heterogeneous computing infrastructure, creating a more complex performance and efficiency optimization matrix. During the last 2 years, ALICE analysis shifted from a fast development phase to the more mature and stable code. At the same time, the frameworks and tools for deployment, monitoring and management of large productions have evolved considerably too. The ALICE Grid production system is currently used by a fair share of organized and individual user analysis, consuming up to 30% or the available resources and ranging from fully I/O-bound analysis code to CPU intensive correlations or resonances studies. While the intrinsic analysis performance is unlikely to improve by a large factor during the LHC long shutdown (LS1), the overall efficiency of the system has still to be improved by an important factor to satisfy the analysis needs. We have instrumented all analysis jobs with ''sensors'' collecting comprehensive monitoring information on the job running conditions and performance in order to identify bottlenecks in the data processing flow. This data are collected by the MonALISa-based ALICE Grid monitoring system and are used to steer and improve the job submission and management policy, to identify operational problems in real time and to perform automatic corrective actions. In parallel with an upgrade of our production system we are aiming for low level improvements related to data format, data management and merging of results to allow for a better performing ALICE analysis

  17. Upgrade of the ALICE Inner Tracking System

    OpenAIRE

    Reidt, Felix; Collaboration, for the ALICE

    2014-01-01

    During the Long Shutdown 2 of the LHC in 2018/2019, the ALICE experiment plans the installation of a novel Inner Tracking System. It will replace the current six layer detector system with a seven layer detector using Monolithic Active Pixel Sensors. The upgraded Inner Tracking System will have significantly improved tracking and vertexing capabilities, as well as readout rate to cope with the expected increased Pb-Pb luminosity of the LHC. The choice of Monolithic Active Pixel Sensors has be...

  18. MAPS development for the ALICE ITS upgrade

    OpenAIRE

    Yang, P; Aglieri, G; Cavicchioli, C; Chalmet, P L; Chanlek, N; Collu, A; Gao, C; Hillemanns, H; Junique, A; Kofarago, M; Keil, M; Kugathasan, T; Kim, D; Kim, J; Lattuca, A

    2015-01-01

    Monolithic Active Pixel Sensors (MAPS) offer the possibility to build pixel detectors and tracking layers with high spatial resolution and low material budget in commercial CMOS processes. Significant progress has been made in the field of MAPS in recent years, and they are now considered for the upgrades of the LHC experiments. This contribution will focus on MAPS detectors developed for the ALICE Inner Tracking System (ITS) upgrade and manufactured in the TowerJazz 180 nm CMOS imaging senso...

  19. Monitoring System for ALICE Surface Areas

    CERN Document Server

    Demirbasci, Oguz

    2016-01-01

    I have been at CERN for 12 weeks within the scope of Summer Student Programme working on a monitoring system project for surface areas of the ALICE experiment during this period of time. The development and implementation of a monitoring system for environmental parameters in the accessible areas where a cheap hardware setup can be deployed were aim of this project. This report explains how it was developed by using Arduino, Raspberry PI, WinCC OA and DIM protocol.

  20. One module of the ALICE photon spectrometer

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    The first module for the ALICE photon spectrometer has been completed. Each of the five modules will contain 3584 lead-tungstate crystals, a material as transparent as ordinary silica glass but with nearly four times the density. When a high-energy particle passes through one of these crystals it will scintillate, allowing the energy of electrons, positrons and photons to be measured through the 17 920 detection channels.

  1. The MICE Online Systems

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    The Muon Ionization Cooling Experiment (MICE) is designed to test transverse cooling of a muon beam, demonstrating an important step along the path toward creating future high intensity muon beam facilities. Protons in the ISIS synchrotron impact a titanium target, producing pions which decay into muons that propagate through the beam line to the MICE cooling channel. Along the beam line, particle identification (PID) detectors, scintillating fiber tracking detectors, and beam diagnostic tools identify and measure individual muons moving through the cooling channel. The MICE Online Systems encompass all tools; including hardware, software, and documentation, within the MLCR (MICE Local Control Room) that allow the experiment to efficiently record high quality data. Controls and Monitoring (C&M), Data Acquisition (DAQ), Online Monitoring and Reconstruction, Data Transfer, and Networking all fall under the Online Systems umbrella. C&M controls all MICE systems including the target, conventional an...

  2. Diffraction in ALICE and trigger efficiencies

    CERN Document Server

    Navin, Sparsh; Lietava, Roman

    ALICE is built to measure the properties of strongly interacting matter created in heavy-ion collisions. In addition, taking advantage of the low pT acceptance in the central barrel, ALICE is playing an important role in understanding pp collisions with minimum bias triggers at LHC energies. The work presented in this thesis is based on pp data simulated by the ALICE collaboration and early data collected at a center-of-mass energy of 7 TeV. A procedure to calculate trigger efficiencies and an estimate of the systematic uncertainty due to the limited acceptance of the detector are shown. A kinematic comparison between Monte Carlo event generators, PYTHIA 6, PYTHIA 8 and PHOJET is also presented. To improve the description of diffraction in PYTHIA, a hard diffractive component was added to PYTHIA 8 in 2009, which is described. Finally a trigger with a high efficiency for picking diffractive events is used to select a sample with an enhanced diffractive component from pp data. These data are compared to Monte ...

  3. ALICE A Large Ion Collider Experiment

    CERN Multimedia

    Mager, M; Rohr, D M; Suljic, M; Miskowiec, D C; Donigus, B; Mercado-perez, J; Lohner, D; Bertelsen, H; Kox, S; Cheynis, B; Sambyal, S S; Usai, G; Agnello, M; Toscano, L; Miake, Y; Inaba, M; Maldonado cervantes, I A; Fernandez tellez, A; Kulibaba, V; Zinovjev, G; Martynov, Y; Usenko, E; Pshenichnov, I; Nikolaev, S; Vasiliev, A; Vinogradov, A; Moukhanova, T; Vasilyev, A; Kozlov, Y; Voloshin, K; Kiselev, S; Kirilko, Y; Lyublev, E; Kondratyeva, N; Gameiro munhoz, M; Alarcon do passo suaide, A; Lagana fernandes, C; Carlin filho, N; Yin, Z; Zhu, J; Luo, J; Pikna, M; Bombara, M; Pastircak, B; Marangio, G; Gianotti, P; Muccifora, V; Sputowska, I A; Ilkiv, I; Christiansen, P; Dodokhov, V; Yurevich, V; Fedunov, A; Malakhov, A; Efremov, A; Feofilov, G; Vinogradov, L; Asryan, A; Kovalenko, V; Piyarathna, D; Myers, C J; Martashvili, I; Oh, H; Cherney, M G; D'erasmo, G; Wagner, V; Smakal, R; Sartorelli, G; Xaplanteris karampatsos, L; Mlynarz, J; Murray, C J; Oh, S; Becker, B; Zbroszczyk, H P; Feldkamp, L; Pappalardo, G; Khlebnikov, A; Basmanov, V; Punin, V; Demanov, V; Naseer, M A; Gotovac, S; Zgura, S I; Yang, H; Vernet, R; Son, C; Shtejer diaz, K; Hwang, S; Alfaro molina, J R; Jahnke, C; Richter, M R; Garcia-solis, E J; Hitchcock, T M; Bazo alba, J L; Utrobicic, A; Brun, R; Divia, R; Hillemanns, H; Schukraft, J; Riedler, P; Eulisse, G; Von haller, B; Kushpil, V; Ivanov, M; Malzacher, P; Schweda, K O; Renfordt, R A E; Reygers, K J; Pachmayer, Y C; Gaardhoeje, J J; Bearden, I G; Porteboeuf, S J; Borel, H; Pereira da costa, H D A; Faivre, J; Germain, M; Schutz, Y R; Delagrange, H; Batigne, G; Stocco, D; Estienne, M D; Bergognon, A A E; Zoccarato, Y D; Jones, P G; Levai, P; Bencedi, G; Khan, M M; Mahapatra, D P; Ghosh, P; Das, T K; Cicalo, C; De falco, A; Mazzoni, A M; Cerello, P; De marco, N; Riccati, L; Saavedra san martin, O; Paic, G; Ovchynnyk, V; Karavicheva, T; Kucheryaeva, M; Skuratovskiy, O; Mal kevich, D; Bogdanov, A; Pereira, L G; Cai, X; Zhu, X; Wang, M; Kar, S; Fan, F; Sitar, B; Cerny, V; Aggarwal, M M; Bianchi, N; Torii, H; Hori, Y; Tsuji, T; Herrera corral, G A; Kowalski, M; Rybicki, A; Deloff, A; Petrovici, A; Nomokonov, P; Parfenov, A; Koshurnikov, E; Shahaliyev, E; Rogochaya, E; Kondratev, V; Oreshkina, N; Tarasov, A; Norenberg, M; Bodnya, E; Bogolyubskiy, M; Symons, T; Blanco, F; Madagodahettige don, D M; Umaka, E N; Schaefer, B; De pasquale, S; Fusco girard, M; Kim, J; Jeon, H; Nandi, B K; Kumar, J; Sarkar - sinha, T; Arcelli, S; Scapparone, E; Shevel, A; Nikulin, V; Komkov, B; Voloshin, S; Hille, P T; Kannan, S; Dainese, A; Matynia, R M; Dabala, L B; Zimmermann, M B; Vinogradov, Y; Vikhlyantsev, O; Telnov, A; Tumkin, A; Van leeuwen, M; Erdal, H A; Keidel, R; Rui, R; Yeo, I; Vilakazi, Z; Klay, J L; Boswell, B D; Lindenstruth, V; Tveter, T S; Batzing, P C; Breitner, T G; Sahoo, R; Roy, A; Musa, L; Perini, D; Vande vyvre, P; Fuchs, U; Oberegger, M; Aglieri rinella, G; Salgueiro domingues da silva, R M; Kalweit, A P; Greco, V; Bellini, F; Bond, P M; Mohammadi, N; Marin, A M; Glassel, P; Schicker, R M; Staley, F M; Castillo castellanos, J E; Furget, C; Real, J; Martino, J F; Evans, D; Sahu, P K; Sahu, S K; Ahammed, Z; Saini, J; Bala, R; Gupta, R; Di bari, D; Biasotto, M; Nappi, G; Esumi, S; Sano, M; Roehrich, D; Lonne, P; Drakin, Y; Manko, V; Nikulin, S; Yushmanov, I; Kozlov, K; Kerbikov, B; Stavinskiy, A; Sultanov, R; Raniwala, R; Zhou, D; Zhu, H; Meres, M; Kralik, I; Parmar, S; Rizzi, V; Orlandi, A; Lea, R; Kuijer, P G; Figiel, J; Gorlich, L M; Shabratova, G; Lobanov, V; Zaporozhets, S; Ivanov, A; Iglovikov, V; Ochirov, A; Petrov, V; Jacobs, P M; De gruttola, D; Corsi, F; Varma, R; Nania, R; Wilkinson, J J; Samsonov, V; Pruneau, C A; Caines, H L; Aronsson, T; Adare, A M; Zwick, S M; Fearick, R W; Ostrowski, P K; Kulasinski, K; Heine, N; Wilk, A; Ilkaev, R; Ilkaeva, L; Pavlov, V; Mikhaylyukov, K; Rybin, A; Naumov, N; Mudnic, E; Cortese, P; Listratenko, O; Stan, I; Nooren, G; Song, J; Krawutschke, T; Kim, S Y; Hwang, D S; Lee, S H; Leon monzon, I; Vorobyev, I; Skaali, B; Wikne, J; Dordic, O; Yan, Y; Mazumder, R; Shahoyan, R; Kluge, A; Pellegrino, F; Safarik, K; Tauro, A; Foka, P; Frankenfeld, U M; Masciocchi, S; Schwarz, K E; Bailhache, R M; Anguelov, V; Hansen, A; Vulpescu, B; Baldisseri, A; Aphecetche, L B; Berenyi, D; Sahoo, S; Nayak, T K; Muhuri, S; Patra, R N; Adhya, S P; Potukuchi, B; Masoni, A; Scomparin, E; Beole, S; Mizuno, S; Enyo, H; Cuautle flores, E; Gonzalez zamora, P; Djuvsland, O; Altinpinar, S; Wagner, B; Fehlker, D; Velure, A; Potin, S; Kurepin, A; Ryabinkin, E; Kiselev, I; Pestov, Y; Hayrapetyan, A; Manukyan, N; Lutz, J; Belikov, I; Roy, C S; Takahashi, J; Araujo silva figueredo, M; Tang, S; Szarka, I; Kapusta, S; Hasko, J; Putis, M; Sandor, L; Vrlakova, J; Das, S; Hayashi, S; Van rijn, A J; Siemiarczuk, T; Petrovici, M; Petris, M; Stenlund, E A; Malinina, L; Fateev, O; Kolozhvari, A; Altsybeev, I; Sadovskiy, S; Soloviev, A; Ploskon, M A; Mayes, B W; Sorensen, S P; Mazer, J A; Awes, T; Virgili, T; Pagano, P; Krus, M; Sett, P; Bhatt, H; Sinha, B; Khan, P; Antonioli, P; Scioli, G; Sakaguchi, H; Volkov, S; Khanzadeev, A; Malaev, M; Lisa, M A; Loggins, V R; Schuster, T R; Scharenberg, R P; Turrisi, R; Debski, P R; Oleniacz, J; Westerhoff, U; Yanovskiy, V; Domrachev, S; Smirnova, Y; Zimmermann, S; Veldhoen, M; Van der maarel, J; Kileng, B; Seo, J; Lopez torres, E; Camerini, P; Jang, H J; Buthelezi, E Z; Suleymanov, M K O; Belmont moreno, E; Zhao, C; Perales, M; Kobdaj, C; Spyropoulou-stassinaki, M; Roukoutakis, F; Keil, M; Morsch, A; Rademakers, A; Soos, C; Zampolli, C; Grigoras, C; Chibante barroso, V M; Schuchmann, S; Grigoras, A G; Lafuente mazuecos, A; Wegrzynek, A T; Bielcikova, J; Kushpil, S; Braun-munzinger, P; Andronic, A; Zimmermann, A; Rosnet, P; Ramillien barret, V; Lopez, X B; Arbor, N; Erazmus, B E; Pichot, P; Pillot, P; Grossiord, J; Boldizsar, L; Khan, S; Puddu, G; Marras, D; Siddhanta, S; Costanza, S; Botta, E; Gallio, M; Masera, M; Simonetti, L; Prino, F; Oppedisano, C; Vargas trevino, A D; Nystrand, J I; Ullaland, K; Haaland, O S; Huang, M; Naumov, S; Zinovjev, M; Trubnikov, V; Alkin, A; Ivanytskyi, O; Guber, F; Karavichev, O; Nyanin, A; Sibiryak, Y; Peresunko, D Y; Patarakin, O; Aleksandrov, D; Blau, D; Yasnopolskiy, S; Chumakov, M; Vetlitskiy, I; Nedosekin, A; Selivanov, A; Okorokov, V; Grigoryan, A; Papikyan, V; Kuhn, C C; Wan, R; Cajko, F; Siska, M; Mares, J; Zavada, P; Ceballos sanchez, C; Reolon, A R; Gunji, T; Snellings, R; Mayer, C; Klusek-gawenda, M J; Schiaua, C C; Andrei, C; Herghelegiu, A I; Soegaard, C; Panebrattsev, Y; Penev, V; Efimov, L; Zanevskiy, Y; Vechernin, V; Zarochentsev, A; Kolevatov, R; Agapov, A; Polishchuk, B; Nattrass, C; Anticic, T; Kwon, Y; Kim, M; Moon, T; Seger, J E; Petran, M; Sahoo, B; Das bose, L; Hushnud, H; Hatzifotiadou, D; Shigaki, K; Jha, D M; Murray, S; Badala, A; Putevskoy, S; Shapovalova, E; Haiduc, M; Mitu, C M; Mischke, A; Grelli, A; Hetland, K F; Rachevski, A; Menchaca-rocha, A A; De cuveland, J; Hutter, D; Langhammer, M; Dahms, T; Watkins, E P; Gago medina, A M; Planinic, M; Riegler, W; Telesca, A; Knichel, M L; Lazaridis, L; Ferencei, J; Martin, N A; Appelshaeuser, H; Heckel, S T; Windelband, B S; Nielsen, B S; Chojnacki, M; Baldit, A; Manso, F; Crochet, P; Espagnon, B; Uras, A; Lietava, R; Lemmon, R C; Agocs, A G; Viyogi, Y; Pal, S K; Singhal, V; Khan, S A; Alam, S N; Rodriguez cahuantzi, M; Maslov, M; Kurepin, A; Ippolitov, M; Lebedev, V; Tsvetkov, A; Klimov, A; Agafonov, G; Martemiyanov, A; Loginov, V; Kononov, S; Hnatic, M; Kalinak, P; Trzaska, W H; Raha, S; Canoa roman, V; Cruz albino, R; Botje, M; Gladysz-dziadus, E; Marszal, T; Oskarsson, A N E; Otterlund, I; Tydesjo, H; Ljunggren, H M; Vodopyanov, A; Akichine, P; Kuznetsov, A; Vedeneyev, V; Naumenko, P; Bilov, N; Rogalev, R; Evdokimov, S; Braidot, E; Bellwied, R; De caro, A; Kang, J H; Gorbunov, Y; Lee, J; Pachr, M; Dash, S; Roy, P K; Cifarelli, L; Laurenti, G; Margotti, A; Sugitate, T; Ivanov, V; Zhalov, M; Salzwedel, J S N; Pavlinov, A; Harris, J W; Caballero orduna, D; Fiore, E M; Pluta, J M; Kisiel, A R; Wrobel, D; Klein-boesing, C; Grimaldi, A; Zhitnik, A; Nazarenko, S; Zavyalov, N; Miroshnikov, D; Kuryakin, A; Vyushin, A; Mamonov, A; Vickovic, L; Niculescu, M; Fragiacomo, E; Ahn, S U; Ahn, S; Foertsch, S V; Brown, C R; Lovhoiden, G; Harton, A V; Khosonthongkee, K; Langoy, R; Schmidt, H R; Betev, L; Buncic, P; Di mauro, A; Martinengo, P; Gargiulo, C; Grosse-oetringhaus, J F; Costa, F; Baltasar dos santos pedrosa, F; Laudi, E; Adamova, D; Lippmann, C; Schmidt, C J; Book, J H; Grajcarek, R; Christensen, C H; Dupieux, P; Bastid, N; Rakotozafindrabe, A M; Conesa balbastre, G; Martinez-garcia, G; Suire, C P; Ducroux, L; Tieulent, R N; Jusko, A; Barnafoldi, G G; Pochybova, S; Hussain, T; Dubey, A K; Acharya, S; Gupta, A; Ricci, R A; Meddi, F; Vercellin, E; Chujo, T; Watanabe, K; Onishi, H; Akiba, Y; Vergara limon, S; Tejeda munoz, G; Skjerdal, K; Svistunov, S; Reshetin, A; Maevskaya, A; Antonenko, V; Mishustin, N; Meleshko, E; Korsheninnikov, A; Balygin, K; Zagreev, B; Akindinov, A; Mikhaylov, K; Gushchin, O; Grigoryev, V; Gulkanyan, H; Sanchez castro, X; Peretti pezzi, R; Oliveira da silva, A C; Harmanova, Z; Vokal, S; Beitlerova, A; Rak, J; Ghosh, S K; Bhati, A K; Spiriti, E; Ronchetti, F; Casanova diaz, A O; Kuzmin, N; Melkumov, G; Zinchenko, A; Shklovskaya, A; Bunzarov, Z I; Chernenko, S; Rogachevskiy, O; Toulina, T; Kompaniets, M; Titov, A; Kharlov, Y; Dantsevich, G; Stolpovskiy, M; Porter, R J; Datskova, O V; Kim, D S; Jung, W W; Kim, H; Bielcik, J; Pospisil, V; Cepila, J; Das, D; Williams, C; Pesci, A; Roshchin, E; Grounds, A; Humanic, T; Steinpreis, M D; Yaldo, C G; Smirnov, N; Heinz, M T; Connors, M E; Barile, F; Lunardon, M; Orzan, G; Wielanek, D H; Servais, E L J; Patecki, M; Passfeld, A; Zhelezov, S; Morkin, A; Zabelin, O; Hobbs, D A; Gul, M; Ramello, L; Van den brink, A; Bertens, R A; Lodato, D F; Haque, M R; Kim, E J; Coccetti, F; Margagliotti, G V; Rauf, A W; Sandoval, A; Berger, M E; Munzer, R H; Qvigstad, H; Lindal, S; Cervantes jr, M; Kebschull, U W; Engel, H; Karasu uysal, A; Lien, J A; Hess, B A; Calvo villar, E; Augustinus, A; Carena, W; Chochula, P; Chapeland, S; Dobrin, A F; Reidt, F; Bock, F; Festanti, A; Galdames perez, A; Sumbera, M; Averbeck, R P; Garabatos cuadrado, J; Reichelt, P S; Marquard, M; Stachel, J; Wang, Y; Boggild, H; Gulbrandsen, K H; Hansen, J C; Charvet, J F; Shabetai, A; Hadjidakis, C M; Krivda, M; Vertesi, R; Mitra, J; Altini, V; Ferretti, A; Gagliardi, M; Sakata, D; Niida, T; Martinez hernandez, M I; Yang, S; Karpechev, E; Veselovskiy, A; Konevskikh, A; Finogeev, D; Fokin, S; Karadzhev, K; Kucheryaev, Y; Plotnikov, V; Ryabinin, M; Golubev, A; Kaplin, V; Ter-minasyan, A; Abramyan, A; Raniwala, S; Hippolyte, B; Strmen, P; Krivan, F; Kalliokoski, T E A; Chang, B; De cataldo, G; Paticchio, V; Fantoni, A; Gomez jimenez, R; Christakoglou, P; Cyz, A; Wilk, G A; Kurashvili, P; Pop, A; Arefiev, V; Batyunya, B; Lioubochits, V; Zryuev, V; Sokolov, M; Patalakha, D; Pinsky, L; Timmins, A R; Petracek, V; Krelina, M; Chattopadhyay, S; Basile, M; Falchieri, D; Miftakhov, N; Garner, R M; Konyushikhin, M; Joseph, N; Srivastava, B K; Cleymans, J W A; Dietel, T; Soramel, F; Pawlak, T J; Kucinski, M; Janik, M A; Surma, K D; Wessels, J P; Riggi, F; Ivanov, A; Selin, I; Budnikov, D; Filchagin, S; Sitta, M; Gheata, M; Danu, A; Peitzmann, T; Reicher, M; Helstrup, H; Subasi, M; Mathis, A M; Nilsson, M S; Rist, J A S; Jena, C; Lara martinez, C E; Vasileiou, M

    2002-01-01

    %title\\\\ \\\\ALICE is a general-purpose heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma in nucleus-nucleus collisions at the LHC. It currently includes more than 750~physicists and $\\sim$70 institutions in 27 countries.\\\\ \\\\The detector is designed to cope with the highest particle multiplicities anticipated for Pb-Pb reactions (dN/dy~$\\approx$~8000) and it will be operational at the start-up of the LHC. In addition to heavy systems, the ALICE Collaboration will study collisions of lower-mass ions, which are a means of varying the energy density, and protons (both pp and p-nucleus), which provide reference data for the nucleus-nucleus collisions.\\\\ \\\\ALICE consists of a central part, which measures event-by-event hadrons, electrons and photons, and a forward spectrometer to measure muons. The central part, which covers polar angles from 45$^{0} $ to 135$^{0} $ ($\\mid \\eta \\mid $ < 0.9) over the full azimuth, is embedded in the large L3 solenoidal mag...

  4. CERN: ALICE in the looking-glass

    International Nuclear Information System (INIS)

    Anon.

    1993-01-01

    While proton-proton collisions will provide the main research thrust at CERN's planned LHC high energy collider to be built in the LEP tunnel, its 27-kilometre superconducting magnet ring will also be able to handle all the other high energy beams on the CERN menu, opening up the possibility of both heavy ion and electron-proton collisions to augment the LHC research programme. A major new character in the LHC cast - ALICE (A Large Ion Collider Experiment) - has recently published a letter of intent, announcing its intention to appear on the LHC stage. Three letters of intent for major LHC proton-proton experiments were aired last year (January, page 6), and ALICE, if approved, would cohabit with the final solution for the protonproton sector (see box). Only a single major heavy ion experiment is envisaged. The protonproton detectors have some heavy ion capability, but could only look at some very specific signals. (Detailed plans for LHC's electron proton collision option are on hold, awaiting the initial exploration of this field by the new HERA collider which came into operation last year at the DESY Laboratory in Hamburg.) Describing the ALICE detector and its research aims, spokesman Jurgen Schukraft echoes T.D.Lee's observations on the state of particle physics. It is becoming increasingly clear that resolving some of today's particle puzzles require a deeper understanding of the vacuum

  5. ALICE's first vacuum bakeout a success

    CERN Multimedia

    2007-01-01

    At the beginning of April, the ALICE central beryllium beam pipe and absorber beam pipes were successfully conditioned. The installation and bakeout shell surround the beam pipe (lower left), running through the middle of the ITS and TPC. Notice the high-tech cooling system, an additional precaution to avoid overheating the ALICE detection equipment.One end of the vacuum sector during the bakeout and pure gas refill. It is unusual for a vacuum sector to end as it does in the middle of a non-accessible detector and made the installation and cabling of the bakeout equipment a more difficult procedure. Just before Easter, the first bakeout and NEG activation of experimental chambers in the LHC was carried out, followed by ultra pure gas refill. The bakeout consisted of externally heating the chambers under vacuum in order to lower their outgassing. This same heating process also activates the NEG, a coating on the inside surface of the beam vacuum chambers, which pumps the residual gas. ALICE's bakeout was pa...

  6. ALICE: The best is yet to come

    CERN Multimedia

    CERN Bulletin

    2010-01-01

    The ALICE wonderland is the ion-ion collisions. However, the proton run was intensely used by the collaboration to get to know its detector in detail and to produce its first results in QCD-related matters. This very successful preparatory phase will now allow ALICE to enter the uncharted territory of the quark-gluon plasma at the extreme energies provided by the LHC.   The ALICE detector is optimized to study ion-ion collisions in which quark-gluon plasma may be formed. This type of matter, which existed a few moments after the Big Bang and appears when quarks and gluons are deconfined to form a highly dense and hot soup, has been studied at CERN’s SPS in the 1990s and later, from 2000 onwards, at much higher energy at RHIC in the US. Now it’s ALICE’s turn. “Quark-gluon plasma is created at very high temperatures but starts to cool down very quickly to become normal matter again. The high energy of the LHC puts us much higher above the threshold of its for...

  7. Alice Walker’s Womanism in Meridian

    Institute of Scientific and Technical Information of China (English)

    GAN Lin

    2015-01-01

    Meridian is one of Alice Walker’s early work. It tells a story that happened in the American south during the 1960s and early 70s’. It describes the life of the main character, Meridian Hill, a black woman from a southern town, who got out of the oppression of white society, and ends up in participate in Civil Rights Movement. The paper firstly illustrates the soul of womanism—anti-sexism, anti-racism, sisiterhood as well as the maternity love, then analyzes how these theories permeated into the novel—Meridian. The paper paid attention to the function of this novel on the improvement of Alice Walker ’s womanism. In proving that womanism not only permeates into Meridian, but also improved womanism from many perspectives, it comes to the conclusion that Meridian is a novel to improve Alice Walker’s womanism, it serves as the good novel to highlight the African Culture, and made a great contribution for the encouragement of black women to seek for freedom in the society.

  8. LS1 Report: ALICE ups the ante

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    SPS up and running... LHC almost cold... CCC Operators back at their desks... all telltale signs of the start of Run 2! For the experiments, that means there are just a few short months left for them to prepare for beams. The CERN Bulletin will be checking in with each of the Big Four to see how they are getting on during these closing months...   It has been a long road for the ALICE LS1 team. From major improvements to the 19 sub-detectors to a full re-cabling and replacement of LEP-era electrical infrastructure, no part of the ALICE cavern has gone untouched.* With the experiment set to close in early December, the teams are making finishing touches before turning their focus towards re-commissioning and calibration. "Earlier this week, we installed the last two modules of the di-jet calorimeter," explains Werner Riegler, ALICE technical coordinator. "These are the final parts of a 60 degree calorimeter extension that is installed opposite the present calorimeter, c...

  9. The ALICE Inner Tracking System Upgrade

    CERN Document Server

    Siddhanta, Sabyasachi

    2015-01-01

    The long term plan of ALICE (A Large Ion Collider Experiment) at the CERN Large Hadron Collider (LHC) is a detailed investigation and characterisation of the Quark-Gluon Plasma (QGP). ALICE has devised a comprehensive upgrade strategy to enhance its physics capabilities and to exploit the LHC running conditions after the second long shutdown of the LHC scheduled in 2019-20. The upgraded ALICE will focus on high precision measurements of rare probes over a wide range of momenta, which will significantly improve the performance with respect to the present experimental set up. The upgrade strategy is based on the fact that after LS2 LHC will progressively increase its luminosity with Pb beams eventually reaching an interaction rate of about 50 kHz. To exploit the new LHC capabilities, several existing detectors will undergo a substantial upgrade and new detectors will be added. Within this upgrade strategy, the Inner Tracking System (ITS) upgrade forms an important cornerstone, providing precise measurements for...

  10. The DAQ system of OPERA experiment and its specifications for the spectrometers

    International Nuclear Information System (INIS)

    Dusini, S.; Barichello, G.; Dal Corso, F.; Felici, G.; Lindozzi, M.; Stalio, S.; Sorrentino, G.

    2004-01-01

    We present an overview of the data acquisition system (DAQ) and event building of OPERA. OPERA is a long baseline neutrino experiment with a high modularity detector and low event rate. To deal with these features a distributed DAQ system base on Ethernet standards for the data transfer has been chosen. A distributed GPS clock signal is used for synchronizations and time stamp of the data. This architecture allows very modular and flexible event building based on a software trigger strategy. We also present its specific application to the spectrometer sub-detector where RPC trackers are installed. Self-triggerability is a dedicated feature to be also sensitive to out-of-spill events and to possibly allow data taking before the official start of the experiment

  11. Cold front-end electronics and Ethernet-based DAQ systems for large LAr TPC readout

    CERN Document Server

    D.Autiero,; B.Carlus,; Y.Declais,; S.Gardien,; C.Girerd,; J.Marteau; H.Mathez

    2010-01-01

    Large LAr TPCs are among the most powerful detectors to address open problems in particle and astro-particle physics, such as CP violation in leptonic sector, neutrino properties and their astrophysical implications, proton decay search etc. The scale of such detectors implies severe constraints on their readout and DAQ system. We are carrying on a R&D in electronics on a complete readout chain including an ASIC located close to the collecting planes in the argon gas phase and a DAQ system based on smart Ethernet sensors implemented in a µTCA standard. The choice of the latter standard is motivated by the similarity in the constraints with those existing in Network Telecommunication Industry. We also developed a synchronization scheme developed from the IEEE1588 standard integrated by the use of the recovered clock from the Gigabit link

  12. The LHCb RICH Upgrade: Development of the DCS and DAQ system.

    CERN Multimedia

    Cavallero, Giovanni

    2018-01-01

    The LHCb experiment is preparing for an upgrade during the second LHC long shutdown in 2019-2020. In order to fully exploit the LHC flavour physics potential with a five-fold increase in the instantaneous luminosity, a trigger-less readout will be implemented. The RICH detectors will require new photon detectors and a brand new front-end electronics. The status of the integration of the RICH photon detector modules with the MiniDAQ, the prototype of the upgraded LHCb readout architecture, has been reported. The development of the prototype of the RICH Upgrade Experiment Control System, integrating the DCS and DAQ partitions in a single FSM, has been described. The status of the development of the RICH Upgrade Inventory, Bookkeeping and Connectivity database has been reported as well.

  13. The ALICE Data Quality Monitoring: qualitative and quantitative review of three years of operations

    International Nuclear Information System (INIS)

    Haller, Barthélémy von; Telesca, Adriana; Bellini, Francesca; Foka, Yiota

    2014-01-01

    ALICE (A Large Ion Collider Experiment) is a detector designed to study the physics of strongly interacting matter produced in heavy-ion collisions at the CERN Large Hadron Collider (LHC). Due to the complexity of ALICE in terms of number of detectors and performance requirements, Data Quality Monitoring (DQM) plays an essential role in providing online feedback on the data being recorded. It intends to provide shifters with precise and complete information to quickly identify problems, and as a consequence to ensure acquisition of high quality data. This paper presents a review of the ALICE DQM system during the first three years of LHC operations from a quantitative and qualitative point of view. We start by presenting the DQM software and tools before moving on to the various analyses carried out. An overview of the produced monitoring quantities is given, presenting the diversity of usage and flexibility of the DQM. Well-prepared shifters and experts, in addition to a precise organisation, were required to ensure smooth and successful operations. The description of the measures taken to ensure both aspects and an account of the DQM shifters' job are followed by a summary of the evolution of the system. We then give a quantitative review of the final setup of the system used during the whole year 2012. We conclude the paper with use cases where the DQM proved to be very valuable, scalable and efficient and with the plans for the coming years.

  14. The use of Ethernet in the DataFlow of the ATLAS Trigger & DAQ

    CERN Document Server

    Stancu, Stefan; Dobinson, Bob; Korcyl, Krzysztof; Knezo, Emil; CHEP 2003 Computing in High Energy Physics

    2003-01-01

    The article analyzes a proposed network topology for the ATLAS DAQ DataFlow, and identifies the Ethernet features required for a proper operation of the network: MAC address table size, switch performance in terms of throughput and latency, the use of Flow Control, Virtual LANs and Quality of Service. We investigate these features on some Ethernet switches, and conclude on their usefulness for the ATLAS DataFlow network

  15. Upgrade of the TOTEM DAQ using the Scalable Readout System (SRS)

    International Nuclear Information System (INIS)

    Quinto, M; Cafagna, F; Fiergolski, A; Radicioni, E

    2013-01-01

    The main goals of the TOTEM Experiment at the LHC are the measurements of the elastic and total p-p cross sections and the studies of the diffractive dissociation processes. At LHC, collisions are produced at a rate of 40 MHz, imposing strong requirements for the Data Acquisition Systems (DAQ) in terms of trigger rate and data throughput. The TOTEM DAQ adopts a modular approach that, in standalone mode, is based on VME bus system. The VME based Front End Driver (FED) modules, host mezzanines that receive data through optical fibres directly from the detectors. After data checks and formatting are applied in the mezzanine, data is retransmitted to the VME interface and to another mezzanine card plugged in the FED module. The VME bus maximum bandwidth limits the maximum first level trigger (L1A) to 1 kHz rate. In order to get rid of the VME bottleneck and improve scalability and the overall capabilities of the DAQ, a new system was designed and constructed based on the Scalable Readout System (SRS), developed in the framework of the RD51 Collaboration. The project aims to increase the efficiency of the actual readout system providing higher bandwidth, and increasing data filtering, implementing a second-level trigger event selection based on hardware pattern recognition algorithms. This goal is to be achieved preserving the maximum back compatibility with the LHC Timing, Trigger and Control (TTC) system as well as with the CMS DAQ. The obtained results and the perspectives of the project are reported. In particular, we describe the system architecture and the new Opto-FEC adapter card developed to connect the SRS with the FED mezzanine modules. A first test bench was built and validated during the last TOTEM data taking period (February 2013). Readout of a set of 3 TOTEM Roman Pot silicon detectors was carried out to verify performance in the real LHC environment. In addition, the test allowed a check of data consistency and quality

  16. The 40 MHz trigger-less DAQ for the LHCb Upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Campora Perez, D.H. [INFN CNAF, Bologna (Italy); Falabella, A., E-mail: antonio.falabella@cnaf.infn.it [CERN, Geneva (Switzerland); Galli, D. [INFN Sezione di Bologna, Bologna (Italy); Università Bologna, Bologna (Italy); Giacomini, F. [CERN, Geneva (Switzerland); Gligorov, V. [INFN CNAF, Bologna (Italy); Manzali, M. [Università Bologna, Bologna (Italy); Università Ferrara, Ferrara (Italy); Marconi, U. [INFN Sezione di Bologna, Bologna (Italy); Neufeld, N.; Otto, A. [INFN CNAF, Bologna (Italy); Pisani, F. [INFN CNAF, Bologna (Italy); Università la Sapienza, Roma (Italy); Vagnoni, V.M. [INFN Sezione di Bologna, Bologna (Italy)

    2016-07-11

    The LHCb experiment will undergo a major upgrade during the second long shutdown (2018–2019), aiming to let LHCb collect an order of magnitude more data with respect to Run 1 and Run 2. The maximum readout rate of 1 MHz is the main limitation of the present LHCb trigger. The upgraded detector, apart from major detector upgrades, foresees a full read-out, running at the LHC bunch crossing frequency of 40 MHz, using an entirely software based trigger. A new high-throughput PCIe Generation 3 based read-out board, named PCIe40, has been designed for this purpose. The read-out board will allow an efficient and cost-effective implementation of the DAQ system by means of high-speed PC networks. The network-based DAQ system reads data fragments, performs the event building, and transports events to the High-Level Trigger at an estimated aggregate rate of about 32 Tbit/s. Different architecture for the DAQ can be implemented, such as push, pull and traffic shaping with barrel-shifter. Possible technology candidates for the foreseen event-builder under study are InfiniBand and Gigabit Ethernet. In order to define the best implementation of the event-builder we are performing tests of the event-builder on different platforms with different technologies. For testing we are using an event-builder evaluator, which consists of a flexible software implementation, to be used on small size test beds as well as on HPC scale facilities. The architecture of DAQ system and up to date performance results will be presented.

  17. The trigger and DAQ systems of the NA59 experiment

    CERN Document Server

    Ünel, Gokhan; Ballestrero, Sergio

    2004-01-01

    The NA59 experiment on the CERN SPS-H2 beam-line took data during the summers of 1999 and 2000 to perform intercalibration studies of polarization measurement and to test the use of an aligned crystal as a quarter-wave plate. The analysis revealed a proof of concept for the birefringence property of aligned crystals for photons in the 30-170 GeV energy range. The 90-m-long detector for this fixed target experiment had two independent readout schemes: one for more than 120 time-to-digital and analog-to-digital converter channels to obtain tracking and energy information; and another for the readout of the silicon strip detectors to improve vertex resolution. The readout electronics of the Na59 experiment was based on VMEbus and CAMAC systems. Novel data acquisition and online monitoring software were written to work on the commodity hardware (PCs) running mainly the Linux operating system. 21 Refs.

  18. Web-based DAQ systems: connecting the user and electronics front-ends

    Science.gov (United States)

    Lenzi, Thomas

    2016-12-01

    Web technologies are quickly evolving and are gaining in computational power and flexibility, allowing for a paradigm shift in the field of Data Acquisition (DAQ) systems design. Modern web browsers offer the possibility to create intricate user interfaces and are able to process and render complex data. Furthermore, new web standards such as WebSockets allow for fast real-time communication between the server and the user with minimal overhead. Those improvements make it possible to move the control and monitoring operations from the back-end servers directly to the user and to the front-end electronics, thus reducing the complexity of the data acquisition chain. Moreover, web-based DAQ systems offer greater flexibility, accessibility, and maintainability on the user side than traditional applications which often lack portability and ease of use. As proof of concept, we implemented a simplified DAQ system on a mid-range Spartan6 Field Programmable Gate Array (FPGA) development board coupled to a digital front-end readout chip. The system is connected to the Internet and can be accessed from any web browser. It is composed of custom code to control the front-end readout and of a dual soft-core Microblaze processor to communicate with the client.

  19. Web-based DAQ systems: connecting the user and electronics front-ends

    International Nuclear Information System (INIS)

    Lenzi, Thomas

    2016-01-01

    Web technologies are quickly evolving and are gaining in computational power and flexibility, allowing for a paradigm shift in the field of Data Acquisition (DAQ) systems design. Modern web browsers offer the possibility to create intricate user interfaces and are able to process and render complex data. Furthermore, new web standards such as WebSockets allow for fast real-time communication between the server and the user with minimal overhead. Those improvements make it possible to move the control and monitoring operations from the back-end servers directly to the user and to the front-end electronics, thus reducing the complexity of the data acquisition chain. Moreover, web-based DAQ systems offer greater flexibility, accessibility, and maintainability on the user side than traditional applications which often lack portability and ease of use. As proof of concept, we implemented a simplified DAQ system on a mid-range Spartan6 Field Programmable Gate Array (FPGA) development board coupled to a digital front-end readout chip. The system is connected to the Internet and can be accessed from any web browser. It is composed of custom code to control the front-end readout and of a dual soft-core Microblaze processor to communicate with the client.

  20. Development of BPM/BLM DAQ System for KOMAC Beam Line

    Energy Technology Data Exchange (ETDEWEB)

    Song, Young-Gi; Kim, Jae-Ha; Yun, Sang-Pil; Kim, Han-Sung; Kwon, Hyeok-Jung; Cho, Yong-Sub [Korea Atomic Energy Research Institute, Gyeongju (Korea, Republic of)

    2016-10-15

    The proton beam is accelerated from 3 MeV to 100 MeV through 11 DTL tanks. The KOMAC installed 10 beam lines, 5 for 20-MeV beams and 5 for 100-MeV beams. The proton beam is transmitted to two target room. The KOMAC has been operating two beam lines, one for 20 MeV and one for 100 MeV. New beam line, RI beam line is under commissioning. A Data Acquisition (DAQ) system is essential to monitor beam signals in an analog front-end circuitry from BPM and BLM at beam lines. A data acquisition (DAQ) system is essential to monitor beam signals in an analog front-end circuitry from BPM and BLM at beam lines. The DAQ digitizes beam signal and the sampling is synchronized with a reference signal which is an external trigger for beam operation. The digitized data is accessible by the Experimental Physics and Industrial Control System (EPICS)-based control system, which manages the whole accelerator control. The beam monitoring system integrates BLM and BPM signals into the control system and offers realtime data to operators. The IOC, which is implemented with Linux and a PCI driver, supports data acquisition as a very flexible solution.

  1. Implementation of KoHLT-EB DAQ System using compact RIO with EPICS

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Dae-Sik; Kim, Suk-Kwon; Lee, Dong Won [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of); Cho, Seungyon [National Fusion Research Institute, Daejeon (Korea, Republic of)

    2016-10-15

    EPICS (Experimental Physics and Industrial Control System) is a collection of software tools collaboratively developed which can be integrated to provide a comprehensive and scalable control system. Currently there is an increase in use of such systems in large Physics experiments like KSTAR, ITER and DAIC (Daejeon Accelerator Ion Complex). The Korean heat load test facility (KoHLT-EB) was installed at KAERI. This facility is utilized for a qualification test of the plasma facing component (PFC) for the ITER first wall and DEMO divertor, and the thermo-hydraulic experiments. The existing data acquisition device was Agilent 34980A multifunction switch and measurement unit and controlled by Agilent VEE. In the present paper, we report the EPICS based newly upgraded KoHLT-EB DAQ system which is the advanced data acquisition system using FPGA-based reconfigurable DAQ devices like compact RIO. The operator interface of KoHLT-EB DAQ system is composed of Control-System Studio (CSS) and another server is able to archive the related data using the standalone archive tool and the archiveviewer can retrieve that data at any time in the infra-network.

  2. The New CMS DAQ System for Run 2 of the LHC

    CERN Document Server

    AUTHOR|(CDS)2087644; Behrens, Ulf; Branson, James; Chaze, Olivier; Cittolin, Sergio; Darlea, Georgiana Lavinia; Deldicque, Christian; Dobson, Marc; Dupont, Aymeric; Erhan, Samim; Forrest, Andrew Kevin; Gigi, Dominique; Glege, Frank; Gomez Ceballos, Guillelmo; Gomez-Reino Garrido, Robert; Hegeman, Jeroen Guido; Holzner, Andre Georg; Masetti, Lorenzo; Meijers, Franciscus; Meschi, Emilio; Mommsen, Remigius; Morovic, Srecko; Vivian O'Dell; Orsini, Luciano; Paus, Christoph Maria Ernst; Petrucci, Andrea; Pieri, Marco; Racz, Attila; Sakulin, Hannes; Schwick, Christoph; Stieger, Benjamin Bastian; Sumorok, Konstanty; Veverka, Jan; Zejdl, Petr

    2015-01-01

    The data acquisition system (DAQ) of the CMS experiment at the CERN Large Hadron Collider assembles events at a rate of 100 kHz, transporting event data at an aggregate throughput of 100 GB/s to the high level trigger (HLT) farm. The HLT farm selects interesting events for storage and offline analysis at a rate of around 1 kHz. The DAQ system has been redesigned during the accelerator shutdown in 2013/14. The motivation is twofold Firstly, the current compute nodes, networking, and storage infrastructure will have reached the end of their lifetime by the time the LHC restarts. Secondly, in order to handle higher LHC luminosities and event pileup, a number of sub-detectors will be upgraded, increasing the number of readout channels and replacing the off-detector readout electronics with a micro-TCA implementation. The new DAQ architecture will take advantage of the latest developments in the computing industry. For data concentration, 10/40 Gb/s Ethernet technologies will be used, as well as an implementation...

  3. Measurement Of Neutron Radius In Lead By Parity Violating Scattering Flash ADC DAQ

    Energy Technology Data Exchange (ETDEWEB)

    Ahmed, Zafar [Christopher Newport Univ., Newport News, VA (United States)

    2012-06-01

    This dissertation reports the experiment PREx, a parity violation experiment which is designed to measure the neutron radius in 208Pb. PREx is performed in hall A of Thomas Jefferson National Accelerator Facility from March 19th to June 21st. Longitudionally polarized electrons at energy 1 GeV scattered at and angle of θlab = 5.8 ° from the Lead target. Beam corrected pairty violaing counting rate asymmetry is (Acorr= 594 ± 50(stat) ± 9(syst))ppb at Q2 = 0.009068GeV 2. This dissertation also presents the details of Flash ADC Data Acquisition(FADC DAQ) system for Moller polarimetry in Hall A of Thomas Jefferson National Accelerator Facility. The Moller polarimeter measures the beam polarization to high precision to meet the specification of the PREx(Lead radius experiment). The FADC DAQ is part of the upgrade of Moller polarimetery to reduce the systematic error for PREx. The hardware setup and the results of the FADC DAQ analysis are presented

  4. Application of the ATLAS DAQ and Monitoring System for MDT and RPC Commissioning

    CERN Document Server

    Pasqualucci, E

    2007-01-01

    The ATLAS DAQ and monitoring software are currently commonly used to test detectors during the commissioning phase. In this paper, their usage in MDT and RPC commissioning is described, both at the surface pre-commissioning and commissioning stations and in the ATLAS pit. Two main components are heavily used for detector tests. The ROD Crate DAQ software is based on the ATLAS Readout application. Based on the plug-in mechanism, it provides a complete environment to interface any kind of detector or trigger electronics to the ATLAS DAQ system. All the possible flavours of this application are used to test and run the MDT and RPC detectors at the pre-commissioning and commissioning sites. Ad-hoc plug-ins have been developed to implement data readout via VME, both with ROD prototypes and emulating final electronics to read out data with temporary solutions, and to provide trigger distribution and busy management in a multi-crate environment. Data driven event building functionality is also used to combine data f...

  5. Large scale and performance tests of the ATLAS online software

    International Nuclear Information System (INIS)

    Alexandrov; Kotov, V.; Mineev, M.; Roumiantsev, V.; Wolters, H.; Amorim, A.; Pedro, L.; Ribeiro, A.; Badescu, E.; Caprini, M.; Burckhart-Chromek, D.; Dobson, M.; Jones, R.; Kazarov, A.; Kolos, S.; Liko, D.; Lucio, L.; Mapelli, L.; Nassiakou, M.; Schweiger, D.; Soloviev, I.; Hart, R.; Ryabov, Y.; Moneta, L.

    2001-01-01

    One of the sub-systems of the Trigger/DAQ system of the future ATLAS experiment is the Online Software system. It encompasses the functionality needed to configure, control and monitor the DAQ. Its architecture is based on a component structure described in the ATLAS Trigger/DAQ technical proposal. Regular integration tests ensure its smooth operation in test beam setups during its evolutionary development towards the final ATLAS online system. Feedback is received and returned into the development process. Studies of the system behavior have been performed on a set of up to 111 PCs on a configuration which is getting closer to the final size. Large scale and performance test of the integrated system were performed on this setup with emphasis on investigating the aspects of the inter-dependence of the components and the performance of the communication software. Of particular interest were the run control state transitions in various configurations of the run control hierarchy. For the purpose of the tests, the software from other Trigger/DAQ sub-systems has been emulated. The author presents a brief overview of the online system structure, its components and the large scale integration tests and their results

  6. ALICE Diffractive Detector Control System for RUN-II in the ALICE Experiment

    CERN Document Server

    INSPIRE-00522336; Martinez, M.I.; Monzon, I. Leon

    2016-01-01

    This paper describes general characteristics of the deployment and commissioned of the Detector Control System (DCS) AD0 for the second phase of the Large Hadron Collider (LHC). The AD0 detector is installed in the ALICE experiment to provide a better selection of diffractive events.

  7. Particle Identification Studies with an ALICE Test TPC

    CERN Document Server

    Christiansen, P

    2007-01-01

    Using a test TPC, consisting of the ALICE TPC field cage prototype in combination with the final ALICE TPC readout and electronics, the energy loss distribution and resolution were measured for identified protons. The measurements were compared to theoretical calculations and good quantitative agreement was found when detector effects were taken into account. The implications for particle identification are discussed.

  8. Uinunud Alice'i toas teeb imesid lavamaagia / Jaanus Kaasik

    Index Scriptorium Estoniae

    Kaasik, Jaanus

    2004-01-01

    7. veebr. esietendus Vanemuises tantsulavastus "Alice imedemaal". Etendus põhineb briti kirjaniku L. Carrolli samanimelisel lasteraamatul, koreograaf M. Murdmaa, kunstnik K. Jancis ja muusika on kirjutanud ungari helilooja S. Kall̤s, Alice'i osa tantsib korealanna Hye Min Kim

  9. Assessing the catalogue module of Alice for window software ...

    African Journals Online (AJOL)

    The paper presents a general description of Alice For Window Software with a detailed analysis of the catalogue module. It highlights the basic features of the module such as add, edit, delete, search field and the grab button. The cataloguing process is clearly delineated. The paper also discusses Alice For Window ...

  10. ALICE - A computer program for nuclear data acquisition

    International Nuclear Information System (INIS)

    Skaali, T.B.

    1981-02-01

    This manual contains the users guide and the program documentation for the ALICE data acquisition system. The ALICE Users Guide, which is contained in part 1 of the manual, can be read independently of the program documentation in part 2. The ALICE program is written in the interpretive language NODAL. Due to the inherent slow execution speed of interpreted code time-consuming tasks such as non-linear least squares peak fitting cannot be implemented. On the other hand the special features of the NODAL language have made possible facilities in ALICE which hardly could have been realized by, e.g. a FORTRAN program. The complete system can be divided in two parts, i) the ALICE program written in NODAL, and ii) a data acquisition package which logically represents an extension of the SINTRAN III operating system. The system is thus portable to other NORD- 10/100 installations provided that the floating hardware is 48 bits. (Auth.)

  11. Open access for ALICE analysis based on virtualization technology

    CERN Document Server

    Buncic, P; Schutz, Y

    2015-01-01

    Open access is one of the important leverages for long-term data preservation for a HEP experiment. To guarantee the usability of data analysis tools beyond the experiment lifetime it is crucial that third party users from the scientific community have access to the data and associated software. The ALICE Collaboration has developed a layer of lightweight components built on top of virtualization technology to hide the complexity and details of the experiment-specific software. Users can perform basic analysis tasks within CernVM, a lightweight generic virtual machine, paired with an ALICE specific contextualization. Once the virtual machine is launched, a graphical user interface is automatically started without any additional configuration. This interface allows downloading the base ALICE analysis software and running a set of ALICE analysis modules. Currently the available tools include fully documented tutorials for ALICE analysis, such as the measurement of strange particle production or the nuclear modi...

  12. Design and implement of BESIII online histogramming software

    International Nuclear Information System (INIS)

    Li Fei; Wang Liang; Liu Yingjie; Chinese Academy of Sciences, Beijing; Zhu Kejun; Zhao Jingwei

    2007-01-01

    The online histogramming software is an important part of the BESIII DAQ (Data Acquisition) system. This article introduces the main requirements and design of the online histogramming software and presents how to produce, transmit and gather histograms in the distributed environment in the current software implement. The article also illustrate one smart, simple and easy to expand way of setup with xml configure database. (authors)

  13. The design and realization of general high-speed RAIN100B DAQ module based on powerPC MPC5200B processor

    International Nuclear Information System (INIS)

    Xue Tao; Gong Guanghua; Shao Beibei

    2010-01-01

    In order to deal with the DAQ function of nuclear electronics, department of engineering physics of Tsinghua University design and realize a general, high-speed RAIN100B DAQ module based on Freescale's PowerPC MPC5200B processor.And the RAIN100B was used on GEM detector DAQ, it can reach up to 90Mbps data speed. The result is also presented and discussed. (authors)

  14. Muon pair study at LHC: ALICE experiment

    International Nuclear Information System (INIS)

    Chevallier, M.; Cheynis, B.; Grossiord, J.Y.; Guinet, D.; Guichard, A.; Lautesse, P.; Jacquin, M.; Nikulin, V.

    1998-01-01

    The nuclear matter at very high density, possibly as a quark gluon plasma, will be studied with ALICE at LHC, via the measurement of heavy quark resonances detected through their dimuon decay. The group is participating, since the end of 1996, in the development of the tracking chambers of the dimuon arm. These detectors are wire chambers with segmented cathodes and should measure the position of the tracks with a resolution of ≅ 100 μm in order to get a dimuon mass resolution better than 100 MeV. (authors)

  15. Leading charged particle correlations at ALICE

    CERN Document Server

    Krizek, F

    2012-01-01

    A leading charged particle correlation analysis was performed on p + p data measured by the ALICE experiment at √s = 7 TeV. The main emphasis was on the xE distributions for a given charged hadron trigger momentum pTt. It was observed that dN/dxE is driven by the imbalance function at low xE. At high xE it shows exponential behavior and the extracted slope can be related to hzti of the trigger particle.

  16. The ALICE experiment at the CERN LHC

    Energy Technology Data Exchange (ETDEWEB)

    Aamodt, K [Department of Physics, University of Oslo, Oslo (Norway); Abrahantes Quintana, A [Centro de Aplicaciones Tecnologicas y Desarrollo Nuclear (CEADEN), Madrid/Havana, Spain (Cuba); Achenbach, R [Kirchhoff-Institut fuer Physik, Ruprecht-Karls-Universitaet Heidelberg, Heidelberg, Germany BMBF (Germany); Acounis, S [SUBATECH, Ecole des Mines de Nantes, Universite de Nantes, CNRS/IN2P3, Nantes (France); Adamova, D [Academy of Sciences of the Czech Republic, Nuclear Physics Institute, Rez/Prague (Czech Republic); Adler, C [Physikalisches Institut, Ruprecht-Karls-Universitaet Heidelberg, Heidelberg, Germany BMBF (Germany); Aggarwal, M [Physics Department, Panjab University, Chandigarh (India); Agnese, F [IPHC, Universite Louis Pasteur, CNRS/IN2P3, Strasbourg (France); Rinella, G Aglieri [CERN, European Organization for Nuclear Reasearch, Geneva (Switzerland); Ahammed, Z [Variable Energy Cyclotron Centre, Kolkata (India); Ahmad, A; Ahmad, N; Ahmad, S [Department of Physics Aligarh Muslim University, Aligarh (India); Akindinov, A [Institute for Theoretical and Experimental Physics, Moscow (Russian Federation); Akishin, P [JINR, Joint Institute for Nuclear Research, Dubna, (Russian Federation); Aleksandrov, D [Russian Research Center Kurchatov Institute, Moscow (Russian Federation); Alessandro, B; Alfarone, G [Sezione INFN, Torino (Italy); Alfaro, R [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Mexico City (Mexico); Alici, A [Dipartimento di Fisica dell' Universita and Sezione INFN, Bologna (Italy)], E-mail: Hans-Ake.Gustafsson@hep.lu.se (and others)

    2008-08-15

    ALICE (A Large Ion Collider Experiment) is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model. It is designed to address the physics of strongly interacting matter and the quark-gluon plasma at extreme values of energy density and temperature in nucleus-nucleus collisions. Besides running with Pb ions, the physics programme includes collisions with lighter ions, lower energy running and dedicated proton-nucleus runs. ALICE will also take data with proton beams at the top LHC energy to collect reference data for the heavy-ion programme and to address several QCD topics for which ALICE is complementary to the other LHC detectors. The ALICE detector has been built by a collaboration including currently over 1000 physicists and engineers from 105 Institutes in 30 countries. Its overall dimensions are 16 x 16 x 26 m{sup 3} with a total weight of approximately 10 000 t. The experiment consists of 18 different detector systems each with its own specific technology choice and design constraints, driven both by the physics requirements and the experimental conditions expected at LHC. The most stringent design constraint is to cope with the extreme particle multiplicity anticipated in central Pb-Pb collisions. The different subsystems were optimized to provide high-momentum resolution as well as excellent Particle Identification (PID) over a broad range in momentum, up to the highest multiplicities predicted for LHC. This will allow for comprehensive studies of hadrons, electrons, muons, and photons produced in the collision of heavy nuclei. Most detector systems are scheduled to be installed and ready for data taking by mid-2008 when the LHC is scheduled to start operation, with the exception of parts of the Photon Spectrometer (PHOS), Transition Radiation Detector (TRD) and Electro Magnetic Calorimeter (EMCal). These detectors will be completed for the high-luminosity ion run expected in 2010

  17. A continuous read-out TPC for the ALICE upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Lippmann, C., E-mail: C.Lippmann@gsi.de

    2016-07-11

    The largest gaseous Time Projection Chamber (TPC) in the world, the ALICE TPC, will be upgraded based on Micro Pattern Gas Detector technology during the second long shutdown of the CERN Large Hadron Collider in 2018/19. The upgraded detector will operate continuously without the use of a triggered gating grid. It will thus be able to read all minimum bias Pb–Pb events that the LHC will deliver at the anticipated peak interaction rate of 50 kHz for the high luminosity heavy-ion era. New read-out electronics will send the continuous data stream to a new online farm at rates up to 1 TByte/s. A fractional ion feedback of below 1% is required to keep distortions due to space charge in the TPC drift volume at a tolerable level. The new read-out chambers will consist of quadruple stacks of Gas Electron Multipliers (GEM), combining GEM foils with a different hole pitch. Other key requirements such as energy resolution and operational stability have to be met as well. A careful optimisation of the performance in terms of all these parameters was achieved during an extensive R&D program. A working point well within the design specifications was identified with an ion backflow of 0.63%, a local energy resolution of 11.3% (sigma) and a discharge probability comparable to that of standard triple GEM detectors.

  18. The Fast Interaction Trigger Upgrade for ALICE

    CERN Document Server

    Garcia-Solis, Edmundo

    2016-01-01

    The ALICE Collaboration is preparing a major detector upgrade for the second LHC long shutdown (2019–20). The LHC heavy-ion luminosity and collision rate from 2021 onwards will considerably exceed the design parameters of the present ALICE forward trigger detectors. Furthermore, the introduction of a new Muon Forward Tracker (MFT) will significantly reduce the space available for the upgraded trigger detectors. To comply with these conditions a Fast Interaction Trigger (FIT) has been designed. FIT will be the primary forward trigger, luminosity, and collision time measurement detector. The FIT will be capable of triggering at an interaction rate of 50 kHz, with a time resolution better than 30 ps, with 99% efficiency. It will also determine multiplicity, centrality, and reaction plane. FIT will consist of two arrays of Cherenkov radiators with MCP-PMT sensors and of a single, large-size scintillator ring. The arrays will be placed on both sides of the interaction point (IP). Because of the presence of the h...

  19. Particle identification in ALICE: a Bayesian approach

    CERN Document Server

    Adam, Jaroslav; Aggarwal, Madan Mohan; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Neelima; Ahammed, Zubayer; Ahmad, Shakeel; Ahn, Sang Un; Aiola, Salvatore; Akindinov, Alexander; Alam, Sk Noor; Silva De Albuquerque, Danilo; Aleksandrov, Dmitry; Alessandro, Bruno; Alexandre, Didier; Alfaro Molina, Jose Ruben; Alici, Andrea; Alkin, Anton; Millan Almaraz, Jesus Roberto; Alme, Johan; Alt, Torsten; Altinpinar, Sedat; Altsybeev, Igor; Alves Garcia Prado, Caio; Andrei, Cristian; Andronic, Anton; Anguelov, Venelin; Anticic, Tome; Antinori, Federico; Antonioli, Pietro; Aphecetche, Laurent Bernard; Appelshaeuser, Harald; Arcelli, Silvia; Arnaldi, Roberta; Arnold, Oliver Werner; Arsene, Ionut Cristian; Arslandok, Mesut; Audurier, Benjamin; Augustinus, Andre; Averbeck, Ralf Peter; Azmi, Mohd Danish; Badala, Angela; Baek, Yong Wook; Bagnasco, Stefano; Bailhache, Raphaelle Marie; Bala, Renu; Balasubramanian, Supraja; Baldisseri, Alberto; Baral, Rama Chandra; Barbano, Anastasia Maria; Barbera, Roberto; Barile, Francesco; Barnafoldi, Gergely Gabor; Barnby, Lee Stuart; Ramillien Barret, Valerie; Bartalini, Paolo; Barth, Klaus; Bartke, Jerzy Gustaw; Bartsch, Esther; Basile, Maurizio; Bastid, Nicole; Basu, Sumit; Bathen, Bastian; Batigne, Guillaume; Batista Camejo, Arianna; Batyunya, Boris; Batzing, Paul Christoph; Bearden, Ian Gardner; Beck, Hans; Bedda, Cristina; Behera, Nirbhay Kumar; Belikov, Iouri; Bellini, Francesca; Bello Martinez, Hector; Bellwied, Rene; Belmont Iii, Ronald John; Belmont Moreno, Ernesto; Belyaev, Vladimir; Benacek, Pavel; Bencedi, Gyula; Beole, Stefania; Berceanu, Ionela; Bercuci, Alexandru; Berdnikov, Yaroslav; Berenyi, Daniel; Bertens, Redmer Alexander; Berzano, Dario; Betev, Latchezar; Bhasin, Anju; Bhat, Inayat Rasool; Bhati, Ashok Kumar; Bhattacharjee, Buddhadeb; Bhom, Jihyun; Bianchi, Livio; Bianchi, Nicola; Bianchin, Chiara; Bielcik, Jaroslav; Bielcikova, Jana; Bilandzic, Ante; Biro, Gabor; Biswas, Rathijit; Biswas, Saikat; Bjelogrlic, Sandro; Blair, Justin Thomas; Blau, Dmitry; Blume, Christoph; Bock, Friederike; Bogdanov, Alexey; Boggild, Hans; Boldizsar, Laszlo; Bombara, Marek; Book, Julian Heinz; Borel, Herve; Borissov, Alexander; Borri, Marcello; Bossu, Francesco; Botta, Elena; Bourjau, Christian; Braun-Munzinger, Peter; Bregant, Marco; Breitner, Timo Gunther; Broker, Theo Alexander; Browning, Tyler Allen; Broz, Michal; Brucken, Erik Jens; Bruna, Elena; Bruno, Giuseppe Eugenio; Budnikov, Dmitry; Buesching, Henner; Bufalino, Stefania; Buncic, Predrag; Busch, Oliver; Buthelezi, Edith Zinhle; Bashir Butt, Jamila; Buxton, Jesse Thomas; Cabala, Jan; Caffarri, Davide; Cai, Xu; Caines, Helen Louise; Calero Diaz, Liliet; Caliva, Alberto; Calvo Villar, Ernesto; Camerini, Paolo; Carena, Francesco; Carena, Wisla; Carnesecchi, Francesca; Castillo Castellanos, Javier Ernesto; Castro, Andrew John; Casula, Ester Anna Rita; Ceballos Sanchez, Cesar; Cepila, Jan; Cerello, Piergiorgio; Cerkala, Jakub; Chang, Beomsu; Chapeland, Sylvain; Chartier, Marielle; Charvet, Jean-Luc Fernand; Chattopadhyay, Subhasis; Chattopadhyay, Sukalyan; Chauvin, Alex; Chelnokov, Volodymyr; Cherney, Michael Gerard; Cheshkov, Cvetan Valeriev; Cheynis, Brigitte; Chibante Barroso, Vasco Miguel; Dobrigkeit Chinellato, David; Cho, Soyeon; Chochula, Peter; Choi, Kyungeon; Chojnacki, Marek; Choudhury, Subikash; Christakoglou, Panagiotis; Christensen, Christian Holm; Christiansen, Peter; Chujo, Tatsuya; Chung, Suh-Urk; Cicalo, Corrado; Cifarelli, Luisa; Cindolo, Federico; Cleymans, Jean Willy Andre; Colamaria, Fabio Filippo; Colella, Domenico; Collu, Alberto; Colocci, Manuel; Conesa Balbastre, Gustavo; Conesa Del Valle, Zaida; Connors, Megan Elizabeth; Contreras Nuno, Jesus Guillermo; Cormier, Thomas Michael; Corrales Morales, Yasser; Cortes Maldonado, Ismael; Cortese, Pietro; Cosentino, Mauro Rogerio; Costa, Filippo; Crochet, Philippe; Cruz Albino, Rigoberto; Cuautle Flores, Eleazar; Cunqueiro Mendez, Leticia; Dahms, Torsten; Dainese, Andrea; Danisch, Meike Charlotte; Danu, Andrea; Das, Debasish; Das, Indranil; Das, Supriya; Dash, Ajay Kumar; Dash, Sadhana; De, Sudipan; De Caro, Annalisa; De Cataldo, Giacinto; De Conti, Camila; De Cuveland, Jan; De Falco, Alessandro; De Gruttola, Daniele; De Marco, Nora; De Pasquale, Salvatore; Deisting, Alexander; Deloff, Andrzej; Denes, Ervin Sandor; Deplano, Caterina; Dhankher, Preeti; Di Bari, Domenico; Di Mauro, Antonio; Di Nezza, Pasquale; Diaz Corchero, Miguel Angel; Dietel, Thomas; Dillenseger, Pascal; Divia, Roberto; Djuvsland, Oeystein; Dobrin, Alexandru Florin; Domenicis Gimenez, Diogenes; Donigus, Benjamin; Dordic, Olja; Drozhzhova, Tatiana; Dubey, Anand Kumar; Dubla, Andrea; Ducroux, Laurent; Dupieux, Pascal; Ehlers Iii, Raymond James; Elia, Domenico; Endress, Eric; Engel, Heiko; Epple, Eliane; Erazmus, Barbara Ewa; Erdemir, Irem; Erhardt, Filip; Espagnon, Bruno; Estienne, Magali Danielle; Esumi, Shinichi; Eum, Jongsik; Evans, David; Evdokimov, Sergey; Eyyubova, Gyulnara; Fabbietti, Laura; Fabris, Daniela; Faivre, Julien; Fantoni, Alessandra; Fasel, Markus; Feldkamp, Linus; Feliciello, Alessandro; Feofilov, Grigorii; Ferencei, Jozef; Fernandez Tellez, Arturo; Gonzalez Ferreiro, Elena; Ferretti, Alessandro; Festanti, Andrea; Feuillard, Victor Jose Gaston; Figiel, Jan; Araujo Silva Figueredo, Marcel; Filchagin, Sergey; Finogeev, Dmitry; Fionda, Fiorella; Fiore, Enrichetta Maria; Fleck, Martin Gabriel; Floris, Michele; Foertsch, Siegfried Valentin; Foka, Panagiota; Fokin, Sergey; Fragiacomo, Enrico; Francescon, Andrea; Frankenfeld, Ulrich Michael; Fronze, Gabriele Gaetano; Fuchs, Ulrich; Furget, Christophe; Furs, Artur; Fusco Girard, Mario; Gaardhoeje, Jens Joergen; Gagliardi, Martino; Gago Medina, Alberto Martin; Gallio, Mauro; Gangadharan, Dhevan Raja; Ganoti, Paraskevi; Gao, Chaosong; Garabatos Cuadrado, Jose; Garcia-Solis, Edmundo Javier; Gargiulo, Corrado; Gasik, Piotr Jan; Gauger, Erin Frances; Germain, Marie; Gheata, Andrei George; Gheata, Mihaela; Ghosh, Premomoy; Ghosh, Sanjay Kumar; Gianotti, Paola; Giubellino, Paolo; Giubilato, Piero; Gladysz-Dziadus, Ewa; Glassel, Peter; Gomez Coral, Diego Mauricio; Gomez Ramirez, Andres; Sanchez Gonzalez, Andres; Gonzalez, Victor; Gonzalez Zamora, Pedro; Gorbunov, Sergey; Gorlich, Lidia Maria; Gotovac, Sven; Grabski, Varlen; Grachov, Oleg Anatolievich; Graczykowski, Lukasz Kamil; Graham, Katie Leanne; Grelli, Alessandro; Grigoras, Alina Gabriela; Grigoras, Costin; Grigoryev, Vladislav; Grigoryan, Ara; Grigoryan, Smbat; Grynyov, Borys; Grion, Nevio; Gronefeld, Julius Maximilian; Grosse-Oetringhaus, Jan Fiete; Grosso, Raffaele; Guber, Fedor; Guernane, Rachid; Guerzoni, Barbara; Gulbrandsen, Kristjan Herlache; Gunji, Taku; Gupta, Anik; Gupta, Ramni; Haake, Rudiger; Haaland, Oystein Senneset; Hadjidakis, Cynthia Marie; Haiduc, Maria; Hamagaki, Hideki; Hamar, Gergoe; Hamon, Julien Charles; Harris, John William; Harton, Austin Vincent; Hatzifotiadou, Despina; Hayashi, Shinichi; Heckel, Stefan Thomas; Hellbar, Ernst; Helstrup, Haavard; Herghelegiu, Andrei Ionut; Herrera Corral, Gerardo Antonio; Hess, Benjamin Andreas; Hetland, Kristin Fanebust; Hillemanns, Hartmut; Hippolyte, Boris; Horak, David; Hosokawa, Ritsuya; Hristov, Peter Zahariev; Humanic, Thomas; Hussain, Nur; Hussain, Tahir; Hutter, Dirk; Hwang, Dae Sung; Ilkaev, Radiy; Inaba, Motoi; Incani, Elisa; Ippolitov, Mikhail; Irfan, Muhammad; Ivanov, Marian; Ivanov, Vladimir; Izucheev, Vladimir; Jacazio, Nicolo; Jacobs, Peter Martin; Jadhav, Manoj Bhanudas; Jadlovska, Slavka; Jadlovsky, Jan; Jahnke, Cristiane; Jakubowska, Monika Joanna; Jang, Haeng Jin; Janik, Malgorzata Anna; Pahula Hewage, Sandun; Jena, Chitrasen; Jena, Satyajit; Jimenez Bustamante, Raul Tonatiuh; Jones, Peter Graham; Jusko, Anton; Kalinak, Peter; Kalweit, Alexander Philipp; Kamin, Jason Adrian; Kang, Ju Hwan; Kaplin, Vladimir; Kar, Somnath; Karasu Uysal, Ayben; Karavichev, Oleg; Karavicheva, Tatiana; Karayan, Lilit; Karpechev, Evgeny; Kebschull, Udo Wolfgang; Keidel, Ralf; Keijdener, Darius Laurens; Keil, Markus; Khan, Mohammed Mohisin; Khan, Palash; Khan, Shuaib Ahmad; Khanzadeev, Alexei; Kharlov, Yury; Kileng, Bjarte; Kim, Do Won; Kim, Dong Jo; Kim, Daehyeok; Kim, Hyeonjoong; Kim, Jinsook; Kim, Minwoo; Kim, Se Yong; Kim, Taesoo; Kirsch, Stefan; Kisel, Ivan; Kiselev, Sergey; Kisiel, Adam Ryszard; Kiss, Gabor; Klay, Jennifer Lynn; Klein, Carsten; Klein, Jochen; Klein-Boesing, Christian; Klewin, Sebastian; Kluge, Alexander; Knichel, Michael Linus; Knospe, Anders Garritt; Kobdaj, Chinorat; Kofarago, Monika; Kollegger, Thorsten; Kolozhvari, Anatoly; Kondratev, Valerii; Kondratyeva, Natalia; Kondratyuk, Evgeny; Konevskikh, Artem; Kopcik, Michal; Kostarakis, Panagiotis; Kour, Mandeep; Kouzinopoulos, Charalampos; Kovalenko, Oleksandr; Kovalenko, Vladimir; Kowalski, Marek; Koyithatta Meethaleveedu, Greeshma; Kralik, Ivan; Kravcakova, Adela; Krivda, Marian; Krizek, Filip; Kryshen, Evgeny; Krzewicki, Mikolaj; Kubera, Andrew Michael; Kucera, Vit; Kuhn, Christian Claude; Kuijer, Paulus Gerardus; Kumar, Ajay; Kumar, Jitendra; Kumar, Lokesh; Kumar, Shyam; Kurashvili, Podist; Kurepin, Alexander; Kurepin, Alexey; Kuryakin, Alexey; Kweon, Min Jung; Kwon, Youngil; La Pointe, Sarah Louise; La Rocca, Paola; Ladron De Guevara, Pedro; Lagana Fernandes, Caio; Lakomov, Igor; Langoy, Rune; Lara Martinez, Camilo Ernesto; Lardeux, Antoine Xavier; Lattuca, Alessandra; Laudi, Elisa; Lea, Ramona; Leardini, Lucia; Lee, Graham Richard; Lee, Seongjoo; Lehas, Fatiha; Lemmon, Roy Crawford; Lenti, Vito; Leogrande, Emilia; Leon Monzon, Ildefonso; Leon Vargas, Hermes; Leoncino, Marco; Levai, Peter; Li, Shuang; Li, Xiaomei; Lien, Jorgen Andre; Lietava, Roman; Lindal, Svein; Lindenstruth, Volker; Lippmann, Christian; Lisa, Michael Annan; Ljunggren, Hans Martin; Lodato, Davide Francesco; Lonne, Per-Ivar; Loginov, Vitaly; Loizides, Constantinos; Lopez, Xavier Bernard; Lopez Torres, Ernesto; Lowe, Andrew John; Luettig, Philipp Johannes; Lunardon, Marcello; Luparello, Grazia; Lutz, Tyler Harrison; Maevskaya, Alla; Mager, Magnus; Mahajan, Sanjay; Mahmood, Sohail Musa; Maire, Antonin; Majka, Richard Daniel; Malaev, Mikhail; Maldonado Cervantes, Ivonne Alicia; Malinina, Liudmila; Mal'Kevich, Dmitry; Malzacher, Peter; Mamonov, Alexander; Manko, Vladislav; Manso, Franck; Manzari, Vito; Marchisone, Massimiliano; Mares, Jiri; Margagliotti, Giacomo Vito; Margotti, Anselmo; Margutti, Jacopo; Marin, Ana Maria; Markert, Christina; Marquard, Marco; Martin, Nicole Alice; Martin Blanco, Javier; Martinengo, Paolo; Martinez Hernandez, Mario Ivan; Martinez-Garcia, Gines; Martinez Pedreira, Miguel; Mas, Alexis Jean-Michel; Masciocchi, Silvia; Masera, Massimo; Masoni, Alberto; Mastroserio, Annalisa; Matyja, Adam Tomasz; Mayer, Christoph; Mazer, Joel Anthony; Mazzoni, Alessandra Maria; Mcdonald, Daniel; Meddi, Franco; Melikyan, Yuri; Menchaca-Rocha, Arturo Alejandro; Meninno, Elisa; Mercado-Perez, Jorge; Meres, Michal; Miake, Yasuo; Mieskolainen, Matti Mikael; Mikhaylov, Konstantin; Milano, Leonardo; Milosevic, Jovan; Mischke, Andre; Mishra, Aditya Nath; Miskowiec, Dariusz Czeslaw; Mitra, Jubin; Mitu, Ciprian Mihai; Mohammadi, Naghmeh; Mohanty, Bedangadas; Molnar, Levente; Montano Zetina, Luis Manuel; Montes Prado, Esther; Moreira De Godoy, Denise Aparecida; Perez Moreno, Luis Alberto; Moretto, Sandra; Morreale, Astrid; Morsch, Andreas; Muccifora, Valeria; Mudnic, Eugen; Muhlheim, Daniel Michael; Muhuri, Sanjib; Mukherjee, Maitreyee; Mulligan, James Declan; Gameiro Munhoz, Marcelo; Munzer, Robert Helmut; Murakami, Hikari; Murray, Sean; Musa, Luciano; Musinsky, Jan; Naik, Bharati; Nair, Rahul; Nandi, Basanta Kumar; Nania, Rosario; Nappi, Eugenio; Naru, Muhammad Umair; Ferreira Natal Da Luz, Pedro Hugo; Nattrass, Christine; Rosado Navarro, Sebastian; Nayak, Kishora; Nayak, Ranjit; Nayak, Tapan Kumar; Nazarenko, Sergey; Nedosekin, Alexander; Nellen, Lukas; Ng, Fabian; Nicassio, Maria; Niculescu, Mihai; Niedziela, Jeremi; Nielsen, Borge Svane; Nikolaev, Sergey; Nikulin, Sergey; Nikulin, Vladimir; Noferini, Francesco; Nomokonov, Petr; Nooren, Gerardus; Cabanillas Noris, Juan Carlos; Norman, Jaime; Nyanin, Alexander; Nystrand, Joakim Ingemar; Oeschler, Helmut Oskar; Oh, Saehanseul; Oh, Sun Kun; Ohlson, Alice Elisabeth; Okatan, Ali; Okubo, Tsubasa; Olah, Laszlo; Oleniacz, Janusz; Oliveira Da Silva, Antonio Carlos; Oliver, Michael Henry; Onderwaater, Jacobus; Oppedisano, Chiara; Orava, Risto; Oravec, Matej; Ortiz Velasquez, Antonio; Oskarsson, Anders Nils Erik; Otwinowski, Jacek Tomasz; Oyama, Ken; Ozdemir, Mahmut; Pachmayer, Yvonne Chiara; Pagano, Davide; Pagano, Paola; Paic, Guy; Pal, Susanta Kumar; Pan, Jinjin; Pandey, Ashutosh Kumar; Papikyan, Vardanush; Pappalardo, Giuseppe; Pareek, Pooja; Park, Woojin; Parmar, Sonia; Passfeld, Annika; Paticchio, Vincenzo; Patra, Rajendra Nath; Paul, Biswarup; Pei, Hua; Peitzmann, Thomas; Pereira Da Costa, Hugo Denis Antonio; Peresunko, Dmitry Yurevich; Perez Lara, Carlos Eugenio; Perez Lezama, Edgar; Peskov, Vladimir; Pestov, Yury; Petracek, Vojtech; Petrov, Viacheslav; Petrovici, Mihai; Petta, Catia; Piano, Stefano; Pikna, Miroslav; Pillot, Philippe; Ozelin De Lima Pimentel, Lais; Pinazza, Ombretta; Pinsky, Lawrence; Piyarathna, Danthasinghe; Ploskon, Mateusz Andrzej; Planinic, Mirko; Pluta, Jan Marian; Pochybova, Sona; Podesta Lerma, Pedro Luis Manuel; Poghosyan, Martin; Polishchuk, Boris; Poljak, Nikola; Poonsawat, Wanchaloem; Pop, Amalia; Porteboeuf, Sarah Julie; Porter, R Jefferson; Pospisil, Jan; Prasad, Sidharth Kumar; Preghenella, Roberto; Prino, Francesco; Pruneau, Claude Andre; Pshenichnov, Igor; Puccio, Maximiliano; Puddu, Giovanna; Pujahari, Prabhat Ranjan; Punin, Valery; Putschke, Jorn Henning; Qvigstad, Henrik; Rachevski, Alexandre; Raha, Sibaji; Rajput, Sonia; Rak, Jan; Rakotozafindrabe, Andry Malala; Ramello, Luciano; Rami, Fouad; Raniwala, Rashmi; Raniwala, Sudhir; Rasanen, Sami Sakari; Rascanu, Bogdan Theodor; Rathee, Deepika; Read, Kenneth Francis; Redlich, Krzysztof; Reed, Rosi Jan; Rehman, Attiq Ur; Reichelt, Patrick Simon; Reidt, Felix; Ren, Xiaowen; Renfordt, Rainer Arno Ernst; Reolon, Anna Rita; Reshetin, Andrey; Reygers, Klaus Johannes; Riabov, Viktor; Ricci, Renato Angelo; Richert, Tuva Ora Herenui; Richter, Matthias Rudolph; Riedler, Petra; Riegler, Werner; Riggi, Francesco; Ristea, Catalin-Lucian; Rocco, Elena; Rodriguez Cahuantzi, Mario; Rodriguez Manso, Alis; Roeed, Ketil; Rogochaya, Elena; Rohr, David Michael; Roehrich, Dieter; Ronchetti, Federico; Ronflette, Lucile; Rosnet, Philippe; Rossi, Andrea; Roukoutakis, Filimon; Roy, Ankhi; Roy, Christelle Sophie; Roy, Pradip Kumar; Rubio Montero, Antonio Juan; Rui, Rinaldo; Russo, Riccardo; Ryabinkin, Evgeny; Ryabov, Yury; Rybicki, Andrzej; Saarinen, Sampo; Sadhu, Samrangy; Sadovskiy, Sergey; Safarik, Karel; Sahlmuller, Baldo; Sahoo, Pragati; Sahoo, Raghunath; Sahoo, Sarita; Sahu, Pradip Kumar; Saini, Jogender; Sakai, Shingo; Saleh, Mohammad Ahmad; Salzwedel, Jai Samuel Nielsen; Sambyal, Sanjeev Singh; Samsonov, Vladimir; Sandor, Ladislav; Sandoval, Andres; Sano, Masato; Sarkar, Debojit; Sarkar, Nachiketa; Sarma, Pranjal; Scapparone, Eugenio; Scarlassara, Fernando; Schiaua, Claudiu Cornel; Schicker, Rainer Martin; Schmidt, Christian Joachim; Schmidt, Hans Rudolf; Schuchmann, Simone; Schukraft, Jurgen; Schulc, Martin; Schutz, Yves Roland; Schwarz, Kilian Eberhard; Schweda, Kai Oliver; Scioli, Gilda; Scomparin, Enrico; Scott, Rebecca Michelle; Sefcik, Michal; Seger, Janet Elizabeth; Sekiguchi, Yuko; Sekihata, Daiki; Selyuzhenkov, Ilya; Senosi, Kgotlaesele; Senyukov, Serhiy; Serradilla Rodriguez, Eulogio; Sevcenco, Adrian; Shabanov, Arseniy; Shabetai, Alexandre; Shadura, Oksana; Shahoyan, Ruben; Shahzad, Muhammed Ikram; Shangaraev, Artem; Sharma, Ankita; Sharma, Mona; Sharma, Monika; Sharma, Natasha; Sheikh, Ashik Ikbal; Shigaki, Kenta; Shou, Qiye; Shtejer Diaz, Katherin; Sibiryak, Yury; Siddhanta, Sabyasachi; Sielewicz, Krzysztof Marek; Siemiarczuk, Teodor; Silvermyr, David Olle Rickard; Silvestre, Catherine Micaela; Simatovic, Goran; Simonetti, Giuseppe; Singaraju, Rama Narayana; Singh, Ranbir; Singha, Subhash; Singhal, Vikas; Sinha, Bikash; Sarkar - Sinha, Tinku; Sitar, Branislav; Sitta, Mario; Skaali, Bernhard; Slupecki, Maciej; Smirnov, Nikolai; Snellings, Raimond; Snellman, Tomas Wilhelm; Song, Jihye; Song, Myunggeun; Song, Zixuan; Soramel, Francesca; Sorensen, Soren Pontoppidan; Derradi De Souza, Rafael; Sozzi, Federica; Spacek, Michal; Spiriti, Eleuterio; Sputowska, Iwona Anna; Spyropoulou-Stassinaki, Martha; Stachel, Johanna; Stan, Ionel; Stankus, Paul; Stenlund, Evert Anders; Steyn, Gideon Francois; Stiller, Johannes Hendrik; Stocco, Diego; Strmen, Peter; Alarcon Do Passo Suaide, Alexandre; Sugitate, Toru; Suire, Christophe Pierre; Suleymanov, Mais Kazim Oglu; Suljic, Miljenko; Sultanov, Rishat; Sumbera, Michal; Sumowidagdo, Suharyo; Szabo, Alexander; Szanto De Toledo, Alejandro; Szarka, Imrich; Szczepankiewicz, Adam; Szymanski, Maciej Pawel; Tabassam, Uzma; Takahashi, Jun; Tambave, Ganesh Jagannath; Tanaka, Naoto; Tarhini, Mohamad; Tariq, Mohammad; Tarzila, Madalina-Gabriela; Tauro, Arturo; Tejeda Munoz, Guillermo; Telesca, Adriana; Terasaki, Kohei; Terrevoli, Cristina; Teyssier, Boris; Thaeder, Jochen Mathias; Thakur, Dhananjaya; Thomas, Deepa; Tieulent, Raphael Noel; Timmins, Anthony Robert; Toia, Alberica; Trogolo, Stefano; Trombetta, Giuseppe; Trubnikov, Victor; Trzaska, Wladyslaw Henryk; Tsuji, Tomoya; Tumkin, Alexandr; Turrisi, Rosario; Tveter, Trine Spedstad; Ullaland, Kjetil; Uras, Antonio; Usai, Gianluca; Utrobicic, Antonija; Vala, Martin; Valencia Palomo, Lizardo; Vallero, Sara; Van Der Maarel, Jasper; Van Hoorne, Jacobus Willem; Van Leeuwen, Marco; Vanat, Tomas; Vande Vyvre, Pierre; Varga, Dezso; Diozcora Vargas Trevino, Aurora; Vargyas, Marton; Varma, Raghava; Vasileiou, Maria; Vasiliev, Andrey; Vauthier, Astrid; Vechernin, Vladimir; Veen, Annelies Marianne; Veldhoen, Misha; Velure, Arild; Vercellin, Ermanno; Vergara Limon, Sergio; Vernet, Renaud; Verweij, Marta; Vickovic, Linda; Viesti, Giuseppe; Viinikainen, Jussi Samuli; Vilakazi, Zabulon; Villalobos Baillie, Orlando; Villatoro Tello, Abraham; Vinogradov, Alexander; Vinogradov, Leonid; Vinogradov, Yury; Virgili, Tiziano; Vislavicius, Vytautas; Viyogi, Yogendra; Vodopyanov, Alexander; Volkl, Martin Andreas; Voloshin, Kirill; Voloshin, Sergey; Volpe, Giacomo; Von Haller, Barthelemy; Vorobyev, Ivan; Vranic, Danilo; Vrlakova, Janka; Vulpescu, Bogdan; Wagner, Boris; Wagner, Jan; Wang, Hongkai; Wang, Mengliang; Watanabe, Daisuke; Watanabe, Yosuke; Weber, Michael; Weber, Steffen Georg; Weiser, Dennis Franz; Wessels, Johannes Peter; Westerhoff, Uwe; Whitehead, Andile Mothegi; Wiechula, Jens; Wikne, Jon; Wilk, Grzegorz Andrzej; Wilkinson, Jeremy John; Williams, Crispin; Windelband, Bernd Stefan; Winn, Michael Andreas; Yang, Hongyan; Yang, Ping; Yano, Satoshi; Yasin, Zafar; Yin, Zhongbao; Yokoyama, Hiroki; Yoo, In-Kwon; Yoon, Jin Hee; Yurchenko, Volodymyr; Yushmanov, Igor; Zaborowska, Anna; Zaccolo, Valentina; Zaman, Ali; Zampolli, Chiara; Correia Zanoli, Henrique Jose; Zaporozhets, Sergey; Zardoshti, Nima; Zarochentsev, Andrey; Zavada, Petr; Zavyalov, Nikolay; Zbroszczyk, Hanna Paulina; Zgura, Sorin Ion; Zhalov, Mikhail; Zhang, Haitao; Zhang, Xiaoming; Zhang, Yonghong; Chunhui, Zhang; Zhang, Zuman; Zhao, Chengxin; Zhigareva, Natalia; Zhou, Daicui; Zhou, You; Zhou, Zhuo; Zhu, Hongsheng; Zhu, Jianhui; Zichichi, Antonino; Zimmermann, Alice; Zimmermann, Markus Bernhard; Zinovjev, Gennady; Zyzak, Maksym

    2016-05-25

    We present a Bayesian approach to particle identification (PID) within the ALICE experiment. The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation of the adopted methodology and formalism, the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE is studied. PID is performed via measurements of specific energy loss (dE/dx) and time-of-flight. PID efficiencies and misidentification probabilities are extracted and compared with Monte Carlo simulations using high purity samples of identified particles in the decay channels ${\\rm K}_{\\rm S}^{\\rm 0}\\rightarrow \\pi^+\\pi^-$, $\\phi\\rightarrow {\\rm K}^-{\\rm K}^+$ and $\\Lambda\\rightarrow{\\rm p}\\pi^-$ in p–Pb collisions at $\\sqrt{s_{\\rm NN}}= 5.02$TeV. In order to thoroughly assess the validity of the Bayesian approach, this methodology was used to obtain corrected $p_{\\rm T}$ spectra of pions, kaons, protons, and D$^0$ mesons in pp coll...

  20. Readout of the upgraded ALICE-ITS

    Science.gov (United States)

    Szczepankiewicz, A.; ALICE Collaboration

    2016-07-01

    The ALICE experiment will undergo a major upgrade during the second long shutdown of the CERN LHC. As part of this program, the present Inner Tracking System (ITS), which employs different layers of hybrid pixels, silicon drift and strip detectors, will be replaced by a completely new tracker composed of seven layers of monolithic active pixel sensors. The upgraded ITS will have more than twelve billion pixels in total, producing 300 Gbit/s of data when tracking 50 kHz Pb-Pb events. Two families of pixel chips realized with the TowerJazz CMOS imaging process have been developed as candidate sensors: the ALPIDE, which uses a proprietary readout and sparsification mechanism and the MISTRAL-O, based on a proven rolling shutter architecture. Both chips can operate in continuous mode, with the ALPIDE also supporting triggered operations. As the communication IP blocks are shared among the two chip families, it has been possible to develop a common Readout Electronics. All the sensor components (analog stages, state machines, buffers, FIFOs, etc.) have been modelled in a system level simulation, which has been extensively used to optimize both the sensor and the whole readout chain design in an iterative process. This contribution covers the progress of the R&D efforts and the overall expected performance of the ALICE-ITS readout system.

  1. Readout of the upgraded ALICE-ITS

    International Nuclear Information System (INIS)

    Szczepankiewicz, A.

    2016-01-01

    The ALICE experiment will undergo a major upgrade during the second long shutdown of the CERN LHC. As part of this program, the present Inner Tracking System (ITS), which employs different layers of hybrid pixels, silicon drift and strip detectors, will be replaced by a completely new tracker composed of seven layers of monolithic active pixel sensors. The upgraded ITS will have more than twelve billion pixels in total, producing 300 Gbit/s of data when tracking 50 kHz Pb–Pb events. Two families of pixel chips realized with the TowerJazz CMOS imaging process have been developed as candidate sensors: the ALPIDE, which uses a proprietary readout and sparsification mechanism and the MISTRAL-O, based on a proven rolling shutter architecture. Both chips can operate in continuous mode, with the ALPIDE also supporting triggered operations. As the communication IP blocks are shared among the two chip families, it has been possible to develop a common Readout Electronics. All the sensor components (analog stages, state machines, buffers, FIFOs, etc.) have been modelled in a system level simulation, which has been extensively used to optimize both the sensor and the whole readout chain design in an iterative process. This contribution covers the progress of the R&D efforts and the overall expected performance of the ALICE-ITS readout system.

  2. MAPS development for the ALICE ITS upgrade

    Science.gov (United States)

    Yang, P.; Aglieri, G.; Cavicchioli, C.; Chalmet, P. L.; Chanlek, N.; Collu, A.; Gao, C.; Hillemanns, H.; Junique, A.; Kofarago, M.; Keil, M.; Kugathasan, T.; Kim, D.; Kim, J.; Lattuca, A.; Marin Tobon, C. A.; Marras, D.; Mager, M.; Martinengo, P.; Mazza, G.; Mugnier, H.; Musa, L.; Puggioni, C.; Rousset, J.; Reidt, F.; Riedler, P.; Snoeys, W.; Siddhanta, S.; Usai, G.; van Hoorne, J. W.; Yi, J.

    2015-03-01

    Monolithic Active Pixel Sensors (MAPS) offer the possibility to build pixel detectors and tracking layers with high spatial resolution and low material budget in commercial CMOS processes. Significant progress has been made in the field of MAPS in recent years, and they are now considered for the upgrades of the LHC experiments. This contribution will focus on MAPS detectors developed for the ALICE Inner Tracking System (ITS) upgrade and manufactured in the TowerJazz 180 nm CMOS imaging sensor process on wafers with a high resistivity epitaxial layer. Several sensor chip prototypes have been developed and produced to optimise both charge collection and readout circuitry. The chips have been characterised using electrical measurements, radioactive sources and particle beams. The tests indicate that the sensors satisfy the ALICE requirements and first prototypes with the final size of 1.5 × 3 cm2 have been produced in the first half of 2014. This contribution summarises the characterisation measurements and presents first results from the full-scale chips.

  3. Upgrade of the ALICE Inner Tracking System

    CERN Document Server

    INSPIRE-00246160

    2015-05-20

    {During the Long Shutdown 2 (LS2) of the LHC in 2018/2019, the ALICE experiment plans the installation of a novel Inner Tracking System (ITS). The upgraded detector will fully replace the current ITS having six layers by seven layers of Monolithic Active Pixel Sensors (MAPS). The upgraded ITS will have significantly improved tracking and vertexing capabilities, as well as readout rate to cope with the expected increased Pb-Pb luminosity in LHC. The choice of MAPS has been driven by the specific requirements of ALICE as a heavy ion experiment dealing with rare probes at low $p_\\mathrm{T}$. This leads to stringent requirements on the material budget of 0.3$\\%~X/X_{0}$ per layer for the three innermost layers. Furthermore, the detector will see large hit densities of $\\sim 19~\\mathrm{cm}^{-2}/\\mathrm{event}$ on average for minimum-bias events in the inner most layer and has to stand moderate radiation loads of 700 kRad TID and $1\\times 10^{13}$ 1 MeV n$_\\mathrm{eq}/\\mathrm{cm}^{2}$ NIEL at maximum. The MAPS dete...

  4. Readout of the upgraded ALICE-ITS

    Energy Technology Data Exchange (ETDEWEB)

    Szczepankiewicz, A., E-mail: Adam.Szczepankiewicz@cern.ch [CERN, Geneva (Switzerland); Institute of Computer Science, Warsaw University of Technology, Warsaw (Poland)

    2016-07-11

    The ALICE experiment will undergo a major upgrade during the second long shutdown of the CERN LHC. As part of this program, the present Inner Tracking System (ITS), which employs different layers of hybrid pixels, silicon drift and strip detectors, will be replaced by a completely new tracker composed of seven layers of monolithic active pixel sensors. The upgraded ITS will have more than twelve billion pixels in total, producing 300 Gbit/s of data when tracking 50 kHz Pb–Pb events. Two families of pixel chips realized with the TowerJazz CMOS imaging process have been developed as candidate sensors: the ALPIDE, which uses a proprietary readout and sparsification mechanism and the MISTRAL-O, based on a proven rolling shutter architecture. Both chips can operate in continuous mode, with the ALPIDE also supporting triggered operations. As the communication IP blocks are shared among the two chip families, it has been possible to develop a common Readout Electronics. All the sensor components (analog stages, state machines, buffers, FIFOs, etc.) have been modelled in a system level simulation, which has been extensively used to optimize both the sensor and the whole readout chain design in an iterative process. This contribution covers the progress of the R&D efforts and the overall expected performance of the ALICE-ITS readout system.

  5. Detection of atmospheric muons with ALICE detectors

    International Nuclear Information System (INIS)

    Alessandro, B.; Cortes Maldonado, I.; Cuautle, E.; Fernandez Tellez, A.; Gomez Jimenez, R.; Gonzalez Santos, H.; Herrera Corral, G.; Leon, I.; Martinez, M.I.; Munoz Mata, J.L.; Podesta, P.; Ramirez Reyes, A.; Rodriguez Cahuantzi, M.; Sitta, M.; Subieta, M.; Tejeda Munoz, G.; Vargas, A.; Vergara, S.

    2010-01-01

    The calibration, alignment and commissioning of most of the ALICE (A Large Ion Collider Experiment at the CERN LHC) detectors have required a large amount of cosmic events during 2008. In particular two types of cosmic triggers have been implemented to record the atmospheric muons passing through ALICE. The first trigger, called ACORDE trigger, is performed by 60 scintillators located on the top of three sides of the large L3 magnet surrounding the central detectors, and selects atmospheric muons. The Silicon Pixel Detector (SPD) installed on the first two layers of the Inner Tracking System (ITS) gives the second trigger, called SPD trigger. This trigger selects mainly events with a single atmospheric muon crossing the SPD. Some particular events, in which the atmospheric muon interacts with the iron of the L3 magnet and creates a shower of particles crossing the SPD, are also selected. In this work the reconstruction of events with these two triggers will be presented. In particular, the performance of the ACORDE detector will be discussed by the analysis of multi-muon events. Some physical distributions are also shown.

  6. MAPS development for the ALICE ITS upgrade

    International Nuclear Information System (INIS)

    Yang, P.; Gao, C.; Huang, G.; Aglieri, G.; Cavicchioli, C.; Hillemanns, H.; Junique, A.; Kofarago, M.; Keil, M.; Kugathasan, T.; Tobon, C.A. Marin; Mager, M.; Martinengo, P.; Chalmet, P.L.; Chanlek, N.; Collu, A.; Marras, D.; Kim, D.; Kim, J.; Lattuca, A.

    2015-01-01

    Monolithic Active Pixel Sensors (MAPS) offer the possibility to build pixel detectors and tracking layers with high spatial resolution and low material budget in commercial CMOS processes. Significant progress has been made in the field of MAPS in recent years, and they are now considered for the upgrades of the LHC experiments. This contribution will focus on MAPS detectors developed for the ALICE Inner Tracking System (ITS) upgrade and manufactured in the TowerJazz 180 nm CMOS imaging sensor process on wafers with a high resistivity epitaxial layer. Several sensor chip prototypes have been developed and produced to optimise both charge collection and readout circuitry. The chips have been characterised using electrical measurements, radioactive sources and particle beams. The tests indicate that the sensors satisfy the ALICE requirements and first prototypes with the final size of 1.5 × 3 cm 2 have been produced in the first half of 2014. This contribution summarises the characterisation measurements and presents first results from the full-scale chips

  7. AliEn - EDG Interoperability in ALICE

    CERN Document Server

    Bagnasco, S; Buncic, P; Carminati, F; Cerello, P G; Saiz, P

    2003-01-01

    AliEn (ALICE Environment) is a GRID-like system for large scale job submission and distributed data management developed and used in the context of ALICE, the CERN LHC heavy-ion experiment. With the aim of exploiting upcoming Grid resources to run AliEn-managed jobs and store the produced data, the problem of AliEn-EDG interoperability was addressed and an in-terface was designed. One or more EDG (European Data Grid) User Interface machines run the AliEn software suite (Cluster Monitor, Storage Element and Computing Element), and act as interface nodes between the systems. An EDG Resource Broker is seen by the AliEn server as a single Computing Element, while the EDG storage is seen by AliEn as a single, large Storage Element; files produced in EDG sites are registered in both the EDG Replica Catalogue and in the AliEn Data Catalogue, thus ensuring accessibility from both worlds. In fact, both registrations are required: the AliEn one is used for the data management, the EDG one to guarantee the integrity and...

  8. DAQ application of PC oscilloscope for chaos fiber-optic fence system based on LabVIEW

    Science.gov (United States)

    Lu, Manman; Fang, Nian; Wang, Lutang; Huang, Zhaoming; Sun, Xiaofei

    2011-12-01

    In order to obtain simultaneously high sample rate and large buffer in data acquisition (DAQ) for a chaos fiber-optic fence system, we developed a double-channel high-speed DAQ application of a digital oscilloscope of PicoScope 5203 based on LabVIEW. We accomplished it by creating call library function (CLF) nodes to call the DAQ functions in the two dynamic link libraries (DLLs) of PS5000.dll and PS5000wrap.dll provided by Pico Technology Company. The maximum real-time sample rate of the DAQ application can reach 1GS/s. We can control the resolutions of the application at the sample time and data amplitudes by changing their units in the block diagram, and also control the start and end times of the sampling operations. The experimental results show that the application has enough high sample rate and large buffer to meet the demanding DAQ requirements of the chaos fiber-optic fence system.

  9. The ALICE Glance Shift Accounting Management System (SAMS)

    Science.gov (United States)

    Martins Silva, H.; Abreu Da Silva, I.; Ronchetti, F.; Telesca, A.; Maidantchik, C.

    2015-12-01

    ALICE (A Large Ion Collider Experiment) is an experiment at the CERN LHC (Large Hadron Collider) studying the physics of strongly interacting matter and the quark-gluon plasma. The experiment operation requires a 24 hours a day and 7 days a week shift crew at the experimental site, composed by the ALICE collaboration members. Shift duties are calculated for each institute according to their correlated members. In order to ensure the full coverage of the experiment operation as well as its good quality, the ALICE Shift Accounting Management System (SAMS) is used to manage the shift bookings as well as the needed training. ALICE SAMS is the result of a joint effort between the Federal University of Rio de Janeiro (UFRJ) and the ALICE Collaboration. The Glance technology, developed by the UFRJ and the ATLAS experiment, sits at the basis of the system as an intermediate layer isolating the particularities of the databases. In this paper, we describe the ALICE SAMS development process and functionalities. The database has been modelled according to the collaboration needs and is fully integrated with the ALICE Collaboration repository to access members information and respectively roles and activities. Run, period and training coordinators can manage their subsystem operation and ensure an efficient personnel management. Members of the ALICE collaboration can book shifts and on-call according to pre-defined rights. ALICE SAMS features a user profile containing all the statistics and user contact information as well as the Institutes profile. Both the user and institute profiles are public (within the scope of the collaboration) and show the credit balance in real time. A shift calendar allows the Run Coordinator to plan data taking periods in terms of which subsystems shifts are enabled or disabled and on-call responsible people and slots. An overview display presents the shift crew present in the control room and allows the Run Coordination team to confirm the presence

  10. Applications of an OO (Objected Oriented) methodology and case to a DAQ system

    International Nuclear Information System (INIS)

    Bee, C.P.; Eshghi, S.; Jones, R.

    1996-01-01

    The RD13 project has evaluated the use of the Object Oriented Information Engineering (OOIE) method during the development of several software components connected to the DAQ system. The method is supported by a sophisticated commercial CASE tool (Object Management Workbench) and programming environment (Kappa) which covers the full life-cycle of the software including model simulation, code generation and application deployment. This paper gives an overview of the method, CASE tool, DAD components which have been developed and we relate our experiences with the method and tool, its integration into our development environment and the spiral life cycle if supports. (author)

  11. Implementation of CMS Central DAQ monitoring services in Node.js

    CERN Document Server

    Vougioukas, Michail

    2015-01-01

    This report summarizes my contribution to the CMS Central DAQ monitoring system, in my capacity as a CERN Summer Students Programme participant, from June to September 2015. Specifically, my work was focused on rewriting – from Apache/PHP to Node.js/Javascript - and optimizing real-time monitoring web services (mostly Elasticsearch-based but also some Oracle-based) for the CMS Data Acquisition (Run II Filterfarm). Moreover, it included an implementation of web server caching, for better scalability when simultaneous web clients use the services. Measurements confirmed that the software developed during this project has indeed a potential to provide scalable services.

  12. VMEbus based computer and real-time UNIX as infrastructure of DAQ

    International Nuclear Information System (INIS)

    Yasu, Y.; Fujii, H.; Nomachi, M.; Kodama, H.; Inoue, E.; Tajima, Y.; Takeuchi, Y.; Shimizu, Y.

    1994-01-01

    This paper describes what the authors have constructed as the infrastructure of data acquisition system (DAQ). The paper reports recent developments concerned with HP VME board computer with LynxOS (HP742rt/HP-RT) and Alpha/OSF1 with VMEbus adapter. The paper also reports current status of developing a Benchmark Suite for Data Acquisition (DAQBENCH) for measuring not only the performance of VME/CAMAC access but also that of the context switching, the inter-process communications and so on, for various computers including Workstation-based systems and VME board computers

  13. DAQ cards for the Compact Muon Solenoid: a successful technology transfer case

    CERN Document Server

    Barone, M; Geralis, T; Mastroyiannopoulos, N; Tzamarias, S; Zachariadou, K; Tsoussis, L

    2002-01-01

    In this paper we give the description of a project accomplished by a collaboration of researchers, engineers and managers from a Greek medium-size company Hourdakis Electronics S.A and the research laboratories CERN in Geneva and DEMOKRITOS in Athens. The project involved the production of 22 input-output DAQ electronic modules to be used for R&D purposes in the Compact Muon Solenoid experiment of LHC at CERN. This project can be considered a successful technology transfer. (3 refs).

  14. Status and perspectives of ALICE at the LHC

    Energy Technology Data Exchange (ETDEWEB)

    Corral, Gerardo H. [Physics Department, CINVESTAV, P.O. Box 14740, Mexico, D.F (Mexico); Collaboration: ALICE Collaboration

    2013-04-15

    ALICE is one of the four large experiments at the LHC. It focuses on the study of ultra-relativistic heavy ion collisions. Its main goal is to study in great detail the properties of matter under extreme energy densities. We discuss some aspects of the ALICE research program, the experiment future plans as well as some general items of the ALICE upgrade. The present detector allows to study diffractive physics and photon induced processes. A proposal to install detectors in the forward region is presented here. These detectors would allow to study processes with rapidity gaps larger than those presently covered.

  15. Status and perspectives of ALICE at the LHC

    International Nuclear Information System (INIS)

    Corral, Gerardo H.

    2013-01-01

    ALICE is one of the four large experiments at the LHC. It focuses on the study of ultra-relativistic heavy ion collisions. Its main goal is to study in great detail the properties of matter under extreme energy densities. We discuss some aspects of the ALICE research program, the experiment future plans as well as some general items of the ALICE upgrade. The present detector allows to study diffractive physics and photon induced processes. A proposal to install detectors in the forward region is presented here. These detectors would allow to study processes with rapidity gaps larger than those presently covered.

  16. Performance and scalability of the back-end sub-system in the ATLAS DAQ/EF prototype

    CERN Document Server

    Alexandrov, I N; Badescu, E; Burckhart, Doris; Caprini, M; Cohen, L; Duval, P Y; Hart, R; Jones, R; Kazarov, A; Kolos, S; Kotov, V; Laugier, D; Mapelli, Livio P; Moneta, L; Qian, Z; Radu, A A; Ribeiro, C A; Roumiantsev, V; Ryabov, Yu; Schweiger, D; Soloviev, I V

    2000-01-01

    The DAQ group of the future ATLAS experiment has developed a prototype system based on the trigger/DAQ architecture described in the ATLAS Technical Proposal to support studies of the full system functionality, architecture as well as available hardware and software technologies. One sub-system of this prototype is the back- end which encompasses the software needed to configure, control and monitor the DAQ, but excludes the processing and transportation of physics data. The back-end consists of a number of components including run control, configuration databases and message reporting system. The software has been developed using standard, external software technologies such as OO databases and CORBA. It has been ported to several C++ compilers and operating systems including Solaris, Linux, WNT and LynxOS. This paper gives an overview of the back-end software, its performance, scalability and current status. (17 refs).

  17. H4DAQ: a modern and versatile data-acquisition package for calorimeter prototypes test-beams

    Science.gov (United States)

    Marini, A. C.

    2018-02-01

    The upgrade of the particle detectors for the HL-LHC or for future colliders requires an extensive program of tests to qualify different detector prototypes with dedicated test beams. A common data-acquisition system, H4DAQ, was developed for the H4 test beam line at the North Area of the CERN SPS in 2014 and it has since been adopted in various applications for the CMS experiment and AIDA project. Several calorimeter prototypes and precision timing detectors have used our system from 2014 to 2017. H4DAQ has proven to be a versatile application and has been ported to many other beam test environments. H4DAQ is fast, simple, modular and can be configured to support various kinds of setup. The functionalities of the DAQ core software are split into three configurable finite state machines: data readout, run control, and event builder. The distribution of information and data between the various computers is performed using ZEROMQ (0MQ) sockets. Plugins are available to read different types of hardware, including VME crates with many types of boards, PADE boards, custom front-end boards and beam instrumentation devices. The raw data are saved as ROOT files, using the CERN C++ ROOT libraries. A Graphical User Interface, based on the python gtk libraries, is used to operate the H4DAQ and an integrated data quality monitoring (DQM), written in C++, allows for fast processing of the events for quick feedback to the user. As the 0MQ libraries are also available for the National Instruments LabVIEW program, this environment can easily be integrated within H4DAQ applications.

  18. Recent ALICE results on hadronic resonance production

    CERN Document Server

    Badalà, Angela

    2015-01-01

    Hadronic resonances are a valuable tool to study the properties of the medium formed in heavy-ion collisions. In particular, they can provide information on particle-formation mechanisms and on the properties of the medium at chemical freeze-out. Furthermore they contribute to the systematic study of parton energy loss and quark recombination. Measurements of resonances in pp and in p-Pb collisions provide a necessary baseline for heavy-ion data and help to disentangle initial-state effects from medium-induced effects. In this paper the latest ALICE results on mid-rapidity K*(892)^0 and {\\phi}(1020) production in pp, p-Pb and Pb-Pb collisions at LHC energies are presented

  19. ALICE & LHCb: refinements for the restart

    CERN Multimedia

    2009-01-01

    Following the previous issue, the Bulletin continues its series to find out what the six LHC experiments have been up to since last September, and how they are preparing for the restart. Previously we looked at CMS and ATLAS; this issue we will round up the past 10 months of activity at ALICE and LHCb. LHCb The cavern of the LHCb experiment. This year has given LHCb the chance to install the 5th and final plane of muon chambers, which will improve the triggering at nominal luminosity. This is the final piece of the experiment to be installed. "Now the detector looks exactly as it does in the technical design report," confirms Andrei Golutvin, LHCb Spokesperson. "We also took advantage of this shutdown to make several improvements. For example, we modified the high voltage system of the electromagnetic calorimeter to reduce noise further to a negligible level. We also took some measures to improve ...

  20. External access to ALICE controls conditions data

    International Nuclear Information System (INIS)

    Jadlovský, J; Jadlovská, A; Sarnovský, J; Jajčišin, Š; Čopík, M; Jadlovská, S; Papcun, P; Bielek, R; Čerkala, J; Kopčík, M; Chochula, P; Augustinus, A

    2014-01-01

    ALICE Controls data produced by commercial SCADA system WINCCOA is stored in ORACLE database on the private experiment network. The SCADA system allows for basic access and processing of the historical data. More advanced analysis requires tools like ROOT and needs therefore a separate access method to the archives. The present scenario expects that detector experts create simple WINCCOA scripts, which retrieves and stores data in a form usable for further studies. This relatively simple procedure generates a lot of administrative overhead – users have to request the data, experts needed to run the script, the results have to be exported outside of the experiment network. The new mechanism profits from database replica, which is running on the CERN campus network. Access to this database is not restricted and there is no risk of generating a heavy load affecting the operation of the experiment. The developed tools presented in this paper allow for access to this data. The users can use web-based tools to generate the requests, consisting of the data identifiers and period of time of interest. The administrators maintain full control over the data – an authorization and authentication mechanism helps to assign privileges to selected users and restrict access to certain groups of data. Advanced caching mechanism allows the user to profit from the presence of already processed data sets. This feature significantly reduces the time required for debugging as the retrieval of raw data can last tens of minutes. A highly configurable client allows for information retrieval bypassing the interactive interface. This method is for example used by ALICE Offline to extract operational conditions after a run is completed. Last but not least, the software can be easily adopted to any underlying database structure and is therefore not limited to WINCCOA.

  1. A trigger simulation framework for the ALICE experiment

    International Nuclear Information System (INIS)

    Antinori, F; Carminati, F; Gheata, A; Gheata, M

    2011-01-01

    A realistic simulation of the trigger system in a complex HEP experiment is essential for performing detailed trigger efficiency studies. The ALICE trigger simulation is evolving towards a framework capable of replaying the full trigger chain starting from the input to the individual trigger processors and ending with the decision mechanisms of the ALICE central trigger processor. This paper describes the new ALICE trigger simulation framework that is being tested and deployed. The framework handles details like trigger levels, signal delays and busy signals, implementing the trigger logic via customizable trigger device objects managed by a robust scheduling mechanism. A big advantage is the high flexibility of the framework, which is able to mix together components described with very different levels of detail. The framework is being gradually integrated within the ALICE simulation and reconstruction frameworks.

  2. ALICE installs new hardware in preparation for the 2012 run

    CERN Multimedia

    CERN Bulletin and ALICE Matters

    2012-01-01

    2011 was a fantastic year for the heavy-ion run at ALICE despite unprecedented challenges and difficult conditions. The data collected is at least one order of magnitude greater than the 2010 data. Thanks to a planned upgrade to two subdetectors during the 2011/2012 winter shutdown and a reorganisation of ALICE’s Physics Working Groups that should allow them to better deal with the greater challenges imposed by the LHC, the collaboration is confident that the 2011 run will allow ALICE to extend its physics reach and improve its performance.   Photograph of ALICE taken by Antonio Saba during this year's winter shutdown. The annual winter shutdown has been a very intense period for the ALICE collaboration. In conjunction with the general maintenance, modifications and tests of the experiment, two major projects – the installation of 3 supermodules of the Transition Radiation Detector (TRD) and 2 supermodules of the Electromagnetic Calorimeter (EMCal) – hav...

  3. A potent approach for the development of FPGA based DAQ system for HEP experiments

    Science.gov (United States)

    Khan, Shuaib Ahmad; Mitra, Jubin; David, Erno; Kiss, Tivadar; Nayak, Tapan Kumar

    2017-10-01

    With ever increasing particle beam energies and interaction rates in modern High Energy Physics (HEP) experiments in the present and future accelerator facilities, there has always been the demand for robust Data Acquisition (DAQ) schemes which perform in the harsh radiation environment and handle high data volume. The scheme is required to be flexible enough to adapt to the demands of future detector and electronics upgrades, and at the same time keeping the cost factor in mind. To address these challenges, in the present work, we discuss an efficient DAQ scheme for error resilient, high speed data communication on commercially available state-of-the-art FPGA with optical links. The scheme utilises GigaBit Transceiver (GBT) protocol to establish radiation tolerant communication link between on-detector front-end electronics situated in harsh radiation environment to the back-end Data Processing Unit (DPU) placed in a low radiation zone. The acquired data are reconstructed in DPU which reduces the data volume significantly, and then transmitted to the computing farms through high speed optical links using 10 Gigabit Ethernet (10GbE). In this study, we focus on implementation and testing of GBT protocol and 10GbE links on an Intel FPGA. Results of the measurements of resource utilisation, critical path delays, signal integrity, eye diagram and Bit Error Rate (BER) are presented, which are the indicators for efficient system performance.

  4. A rule-based verification and control framework in ATLAS Trigger-DAQ

    CERN Document Server

    Kazarov, A; Lehmann-Miotto, G; Sloper, J E; Ryabov, Yu; Computing In High Energy and Nuclear Physics

    2007-01-01

    In order to meet the requirements of ATLAS data taking, the ATLAS Trigger-DAQ system is composed of O(1000) of applications running on more than 2600 computers in a network. With such system size, s/w and h/w failures are quite often. To minimize system downtime, the Trigger-DAQ control system shall include advanced verification and diagnostics facilities. The operator should use tests and expertise of the TDAQ and detectors developers in order to diagnose and recover from errors, if possible automatically. The TDAQ control system is built as a distributed tree of controllers, where behavior of each controller is defined in a rule-based language allowing easy customization. The control system also includes verification framework which allow users to develop and configure tests for any component in the system with different levels of complexity. It can be used as a stand-alone test facility for a small detector installation, as part of the general TDAQ initialization procedure, and for diagnosing the problems ...

  5. A TCP/IP transport layer for the DAQ of the CMS experiment

    International Nuclear Information System (INIS)

    Kozlovszky, M.

    2004-01-01

    The CMS collaboration is currently investigating various networking technologies that may meet the requirements of the CMS Data Acquisition System (DAQ). During this study, a peer transport component based on TCP/IP has been developed using object-oriented techniques for the distributed DAQ framework named XDAQ. This framework has been designed to facilitate the development of distributed data acquisition systems within the CMS Experiment. The peer transport component has to meet 3 main requirements. Firstly, it had to provide fair access to the communication medium for competing applications. Secondly, it had to provide as much of the available bandwidth to the application layer as possible. Finally, it had to hide the complexity of using non-blocking TCP/IP connections from the application layer. This paper describes the development of the peer transport component and then presents and draws conclusions on the measurements made during tests. The major topics investigated include: blocking versus non-blocking communication, TCP/IP configuration options, multi-rail connections

  6. Controlling and Monitoring the Data Flow of the LHCb Read-out and DAQ Network

    CERN Multimedia

    Schwemmer, R; Neufeld, N; Svantesson, D

    2011-01-01

    The LHCb readout uses a set of 320 FPGA based boards as interface between the on-detector hardware and the GBE DAQ network. The boards are the logical Level 1 (L1) read-out electronics and aggregate the experiment's raw data into event fragments that are sent to the DAQ network. To control the many parameters of the read-out boards, an embedded PC is included on each board, connecting to the boards ICs and FPGAs. The data from the L1 boards is sent through an aggregation network into the High Level Trigger farm. The farm comprises approximately 1500 PCs which at first assemble the fragments from the L1 boards and then do a partial reconstruction and selection of the events. In total there are approximately 3500 network connections. Data is pushed through the network and there is no mechanism for resending packets. Loss of data on a small scale is acceptable but care has to be taken to avoid data loss if possible. To monitor and debug losses, different probes are inserted throughout the entire read-out chain t...

  7. Controlling and monitoring the data flow of the LHCb read-out and DAQ network

    International Nuclear Information System (INIS)

    Schwemmer, R.; Gaspar, C.; Neufeld, N.; Svantesson, D.

    2012-01-01

    The LHCb read-out uses a set of 320 FPGA based boards as interface between the on-detector hardware and the GBE DAQ network. The boards are the logical Level 1 (L1) read-out electronics and aggregate the experiment's raw data into event fragments that are sent to the DAQ network. To control the many parameters of the read-out boards, an embedded PC is included on each board, connecting to the boards ICs and FPGAs. The data from the L1 boards is sent through an aggregation network into the High Level Trigger farm. The farm comprises approximately 1500 PCs which at first assemble the fragments from the L1 boards and then do a partial reconstruction and selection of the events. In total there are approximately 3500 network connections. Data is pushed through the network and there is no mechanism for resending packets. Loss of data on a small scale is acceptable but care has to be taken to avoid data loss if possible. To monitor and debug losses, different probes are inserted throughout the entire read-out chain to count fragments, packets and their rates at different positions. To keep uniformity throughout the experiment, all control software was developed using the common SCADA software, PVSS, with the JCOP framework as base. The presentation will focus on the low level controls interface developed for the L1 boards and the networking probes, as well as the integration of the high level user interfaces into PVSS. (authors)

  8. Development of the Calibrator of Reactivity Meter Using PC-Based DAQ System

    International Nuclear Information System (INIS)

    Edison; Mariatmo, A.; Sujarwono

    2007-01-01

    The reactivity meter calibrator has been developed by applying the PC-Based DAQ System programmed using LabVIEW. The Output of the calibrator is voltage proportional to neutron density n(t) corresponding to the step reactivity change ρ 0 . The “Kalibrator meter reactivitas.vi” program calculates seven roots and coefficients of solution n(t) of Reactor Kinetic equation using the in-hour equation. Based on data of dt = t k+1 - t k and t 0 = 0 input by user, the program approximates n(t) for each time interval t k ≤ t k+1 , where k = 0, 1, 2, 3, .... by a step function n(t) = n 0 ∑ j=1 7 A j e ω j t k . Then the program commands the DAQ device to output voltage V(t) = n(t) Volt at time t. The measurement of standard reactivity with the meter reactivity showed that the maximum deviation of measured reactivity from its standard were less than 1 %. (author)

  9. Controlling and Monitoring the Data Flow of the LHCb Read-out and DAQ Network

    CERN Document Server

    Schwemmer, Rainer; Neufeld, N; Svantesson, D

    2011-01-01

    The LHCb read-out uses a set of 320 FPGA based boards as interface between the on-detector hardware and the GBE DAQ network. The boards are the logical Level 1 (L1) read-out electronics and aggregate the experiment’s raw data into event fragments that are sent to the DAQ network. To control the many parameters of the read-out boards, an embedded PC is included on each board, connecting to the boards ICs and FPGAs. The data from the L1 boards is sent through an aggregation network into the High Level Trigger farm. The farm comprises approximately 1500 PCs which at first assemble the fragments from the L1 boards and then do a partial reconstruction and selection of the events. In total there are approximately 3500 network connections. Data is pushed through the network and there is no mechanism for resending packets. Loss of data on a small scale is acceptable but care has to be taken to avoid data loss if possible. To monitor and debug losses, different probes are inserted throughout the entire read-out cha...

  10. A potent approach for the development of FPGA based DAQ system for HEP experiments

    International Nuclear Information System (INIS)

    Khan, Shuaib Ahmad; Mitra, Jubin; Nayak, Tapan Kumar; David, Erno; Kiss, Tivadar

    2017-01-01

    With ever increasing particle beam energies and interaction rates in modern High Energy Physics (HEP) experiments in the present and future accelerator facilities, there has always been the demand for robust Data Acquisition (DAQ) schemes which perform in the harsh radiation environment and handle high data volume. The scheme is required to be flexible enough to adapt to the demands of future detector and electronics upgrades, and at the same time keeping the cost factor in mind. To address these challenges, in the present work, we discuss an efficient DAQ scheme for error resilient, high speed data communication on commercially available state-of-the-art FPGA with optical links. The scheme utilises GigaBit Transceiver (GBT) protocol to establish radiation tolerant communication link between on-detector front-end electronics situated in harsh radiation environment to the back-end Data Processing Unit (DPU) placed in a low radiation zone. The acquired data are reconstructed in DPU which reduces the data volume significantly, and then transmitted to the computing farms through high speed optical links using 10 Gigabit Ethernet (10GbE). In this study, we focus on implementation and testing of GBT protocol and 10GbE links on an Intel FPGA. Results of the measurements of resource utilisation, critical path delays, signal integrity, eye diagram and Bit Error Rate (BER) are presented, which are the indicators for efficient system performance.

  11. VHMPID: a new detector for the ALICE experiment at LHC

    CERN Document Server

    Agócs, A Gu; Barnaföldi, G G; Bellwied, R; Bencze, Gy; Berényi, D; Boldizsár, L; Cuautle, E; De Cataldo, G; Di Bari, D; Di Mauro, A; Dominguez, I; Futó, E; García, E; Hamar, G; Harris, J; Harton, A; Kovács, L; Lévai, P; Lipusz, Cs; Markert, C; Martinengo, P; Martinez, M I; Mastromarco, M; Mayani, D; Molnár, L; Nappi, E; Ortiz, A; Paić, G; Pastore, C; Patino, M E; Perini, D; Perrino, D; Peskov, V; Pinsky, L; Piuz, F; Pochybová, S; Smirnov, N; Song, J; Timmins, A; Varga, D; Vargas, A; Vergara, S; Volpe, G; Yi, J; Yoo, I K

    2011-01-01

    This article presents the basic idea of VHMPID, an upgrade detector for the ALICE experiment at LHC, CERN. The main goal of this detector is to extend the particle identification capabilities of ALICE to give more insight into the evolution of the hot and dense matter created in Pb-Pb collisions. Starting from the physics motivations and working principles the challenges and current status of development is detailed.

  12. VHMPID: a new detector for the ALICE experiment at LHC

    Directory of Open Access Journals (Sweden)

    Perini D.

    2011-04-01

    Full Text Available This article presents the basic idea of VHMPID, an upgrade detector for the ALICE experiment at LHC, CERN. The main goal of this detector is to extend the particle identification capabilities of ALICE to give more insight into the evolution of the hot and dense matter created in Pb-Pb collisions. Starting from the physics motivations and working principles the challenges and current status of development is detailed.

  13. The ALICE Transition Radiation Detector: construction, operation, and performance

    OpenAIRE

    Acharya, Shreyasi; Adam, Jaroslav; Ahmad, Nazeer; Bhattacharjee, Buddhadeb; Turrisi, Rosario; Tveter, Trine Spedstad; Ullaland, Kjetil; Umaka, Ejiro Naomi; Uras, Antonio; Usai, Gianluca; Utrobicic, Antonija; Vala, Martin; Van Der Maarel, Jasper; Van Hoorne, Jacobus Willem; Bhom, Jihyun

    2018-01-01

    The Transition Radiation Detector (TRD) was designed and built to enhance the capabilities of the ALICE detector at the Large Hadron Collider (LHC). While aimed at providing electron identification and triggering, the TRD also contributes significantly to the track reconstruction and calibration in the central barrel of ALICE. In this paper the design, construction, operation, and performance of this detector are discussed. A pion rejection factor of up to 410 is achieved at a momentum of 1 G...

  14. Overview of ALICE results at Quark Matter 2014

    Energy Technology Data Exchange (ETDEWEB)

    Grosse-Oetringhaus, Jan Fiete

    2014-11-15

    The results released by the ALICE Collaboration at Quark Matter 2014 address topics from identified-particle jet fragmentation functions in pp collisions, to the search for collective signatures in p–Pb collisions to precision measurements of jet quenching with D mesons in Pb–Pb collisions. This paper gives an overview of the contributions (31 parallel talks, 2 flash talks and 80 posters) by the ALICE Collaboration at Quark Matter 2014.

  15. ALICE takes root in Saint-Genis-Pouilly

    CERN Multimedia

    Patrice Loiez

    2004-01-01

    To celebrate the CERN 50th anniversary and to emphasize the close ties between the community of Saint-Genis-Pouilly, CERN and the ALICE Collaboration, Hubert Bertrand, Mayor of Saint-Genis-Pouilly and Christian Fabjan, Technical Coordinator of the ALICE Experiment, planted a tree on Saturday 16 October 2004 in front of the Jean Monet Culture Center.

  16. ALICE takes root in Saint-Genis-Pouilly

    CERN Multimedia

    2004-01-01

    To celebrate the CERN 50th anniversary and to emphasize the close ties between the community of Saint-Genis-Pouilly, CERN and the ALICE Collaboration, Hubert Bertrand, Mayor of Saint-Genis-Pouilly and Christian Fabjan, Technical Coordinator of the ALICE Experiment, planted a tree on Saturday 16 October 2004 in front of the Jean Monet Culture Center.

  17. Performance of the ALICE Experiment at the CERN LHC

    CERN Document Server

    Abelev, Betty Bezverkhny; Adam, Jaroslav; Adamova, Dagmar; Aggarwal, Madan Mohan; Agnello, Michelangelo; Agostinelli, Andrea; Agrawal, Neelima; Ahammed, Zubayer; Ahmad, Nazeer; Ahmad, Arshad; Ahmed, Ijaz; Ahn, Sang Un; Ahn, Sul-Ah; Aimo, Ilaria; Aiola, Salvatore; Ajaz, Muhammad; Akindinov, Alexander; Aleksandrov, Dmitry; Alessandro, Bruno; Alexandre, Didier; Alici, Andrea; Alkin, Anton; Alme, Johan; Alt, Torsten; Altini, Valerio; Altinpinar, Sedat; Altsybeev, Igor; Alves Garcia Prado, Caio; Andrei, Cristian; Andronic, Anton; Anguelov, Venelin; Anielski, Jonas; Anticic, Tome; Antinori, Federico; Antonioli, Pietro; Aphecetche, Laurent Bernard; Appelshaeuser, Harald; Arbor, Nicolas; Arcelli, Silvia; Armesto Perez, Nestor; Arnaldi, Roberta; Aronsson, Tomas; Arsene, Ionut Cristian; Arslandok, Mesut; Augustinus, Andre; Averbeck, Ralf Peter; Awes, Terry; Azmi, Mohd Danish; Bach, Matthias Jakob; Badala, Angela; Baek, Yong Wook; Bagnasco, Stefano; Bailhache, Raphaelle Marie; Bala, Renu; Baldisseri, Alberto; Baltasar Dos Santos Pedrosa, Fernando; Baral, Rama Chandra; Barbera, Roberto; Barile, Francesco; Barnafoldi, Gergely Gabor; Barnby, Lee Stuart; Ramillien Barret, Valerie; Bartke, Jerzy Gustaw; Basile, Maurizio; Bastid, Nicole; Basu, Sumit; Bathen, Bastian; Batigne, Guillaume; Batyunya, Boris; Batzing, Paul Christoph; Baumann, Christoph Heinrich; Bearden, Ian Gardner; Beck, Hans; Bedda, Cristina; Behera, Nirbhay Kumar; Belikov, Iouri; Bellini, Francesca; Bellwied, Rene; Belmont Moreno, Ernesto; Bencedi, Gyula; Beole, Stefania; Berceanu, Ionela; Bercuci, Alexandru; Berdnikov, Yaroslav; Berenyi, Daniel; Berger, Martin Emanuel; Bertens, Redmer Alexander; Berzano, Dario; Betev, Latchezar; Bhasin, Anju; Bhati, Ashok Kumar; Bhattacharjee, Buddhadeb; Bhom, Jihyun; Bianchi, Livio; Bianchi, Nicola; Bianchin, Chiara; Bielcik, Jaroslav; Bielcikova, Jana; Bilandzic, Ante; Bjelogrlic, Sandro; Blanco, Fernando; Blau, Dmitry; Blume, Christoph; Bock, Friederike; Bogdanov, Alexey; Boggild, Hans; Bogolyubskiy, Mikhail; Boehmer, Felix Valentin; Boldizsar, Laszlo; Bombara, Marek; Book, Julian Heinz; Borel, Herve; Borissov, Alexander; Bossu, Francesco; Botje, Michiel; Botta, Elena; Boettger, Stefan; Braun-Munzinger, Peter; Bregant, Marco; Breitner, Timo Gunther; Broker, Theo Alexander; Browning, Tyler Allen; Broz, Michal; Bruna, Elena; Bruno, Giuseppe Eugenio; Budnikov, Dmitry; Buesching, Henner; Bufalino, Stefania; Buncic, Predrag; Busch, Oliver; Buthelezi, Edith Zinhle; Caffarri, Davide; Cai, Xu; Caines, Helen Louise; Caliva, Alberto; Calvo Villar, Ernesto; Camerini, Paolo; Canoa Roman, Veronica; Carena, Francesco; Carena, Wisla; Castillo Castellanos, Javier Ernesto; Casula, Ester Anna Rita; Catanescu, Vasile Ioan; Cavicchioli, Costanza; Ceballos Sanchez, Cesar; Cepila, Jan; Cerello, Piergiorgio; Chang, Beomsu; Chapeland, Sylvain; Charvet, Jean-Luc Fernand; Chattopadhyay, Subhasis; Chattopadhyay, Sukalyan; Cherney, Michael Gerard; Cheshkov, Cvetan Valeriev; Cheynis, Brigitte; Chibante Barroso, Vasco Miguel; Dobrigkeit Chinellato, David; Chochula, Peter; Chojnacki, Marek; Choudhury, Subikash; Christakoglou, Panagiotis; Christensen, Christian Holm; Christiansen, Peter; Chujo, Tatsuya; Chung, Suh-Urk; Cicalo, Corrado; Cifarelli, Luisa; Cindolo, Federico; Cleymans, Jean Willy Andre; Colamaria, Fabio Filippo; Colella, Domenico; Collu, Alberto; Colocci, Manuel; Conesa Balbastre, Gustavo; Conesa Del Valle, Zaida; Connors, Megan Elizabeth; Contreras Nuno, Jesus Guillermo; Cormier, Thomas Michael; Corrales Morales, Yasser; Cortese, Pietro; Cortes Maldonado, Ismael; Cosentino, Mauro Rogerio; Costa, Filippo; Crochet, Philippe; Cruz Albino, Rigoberto; Cuautle Flores, Eleazar; Cunqueiro Mendez, Leticia; Dainese, Andrea; Dang, Ruina; Danu, Andrea; Das, Debasish; Das, Indranil; Das, Kushal; Das, Supriya; Dash, Ajay Kumar; Dash, Sadhana; De, Sudipan; Delagrange, Hugues; Deloff, Andrzej; Denes, Ervin Sandor; D'Erasmo, Ginevra; De Caro, Annalisa; De Cataldo, Giacinto; De Cuveland, Jan; De Falco, Alessandro; De Gruttola, Daniele; De Marco, Nora; De Pasquale, Salvatore; De Rooij, Raoul Stefan; Diaz Corchero, Miguel Angel; Dietel, Thomas; Divia, Roberto; Di Bari, Domenico; Di Liberto, Sergio; Di Mauro, Antonio; Di Nezza, Pasquale; Djuvsland, Oeystein; Dobrin, Alexandru Florin; Dobrowolski, Tadeusz Antoni; Domenicis Gimenez, Diogenes; Donigus, Benjamin; Dordic, Olja; Dorheim, Sverre; Dubey, Anand Kumar; Dubla, Andrea; Ducroux, Laurent; Dupieux, Pascal; Dutt Mazumder, Abhee Kanti; Ehlers Iii, Raymond James; Elia, Domenico; Engel, Heiko; Erazmus, Barbara Ewa; Erdal, Hege Austrheim; Eschweiler, Dominic; Espagnon, Bruno; Esposito, Marco; Estienne, Magali Danielle; Esumi, Shinichi; Evans, David; Evdokimov, Sergey; Fabris, Daniela; Faivre, Julien; Falchieri, Davide; Fantoni, Alessandra; Fasel, Markus; Fehlker, Dominik; Feldkamp, Linus; Felea, Daniel; Feliciello, Alessandro; Feofilov, Grigory; Ferencei, Jozef; Fernandez Tellez, Arturo; Gonzalez Ferreiro, Elena; Ferretti, Alessandro; Festanti, Andrea; Figiel, Jan; Araujo Silva Figueredo, Marcel; Filchagin, Sergey; Finogeev, Dmitry; Fionda, Fiorella; Fiore, Enrichetta Maria; Floratos, Emmanouil; Floris, Michele; Foertsch, Siegfried Valentin; Foka, Panagiota; Fokin, Sergey; Fragiacomo, Enrico; Francescon, Andrea; Frankenfeld, Ulrich Michael; Fuchs, Ulrich; Furget, Christophe; Fusco Girard, Mario; Gaardhoeje, Jens Joergen; Gagliardi, Martino; Gago Medina, Alberto Martin; Gallio, Mauro; Gangadharan, Dhevan Raja; Ganoti, Paraskevi; Garabatos Cuadrado, Jose; Garcia-Solis, Edmundo Javier; Gargiulo, Corrado; Garishvili, Irakli; Gerhard, Jochen; Germain, Marie; Gheata, Andrei George; Gheata, Mihaela; Ghidini, Bruno; Ghosh, Premomoy; Ghosh, Sanjay Kumar; Gianotti, Paola; Giubellino, Paolo; Gladysz-Dziadus, Ewa; Glassel, Peter; Gomez Jimenez, Ramon; Gomez Ramirez, Andres; Gonzalez Zamora, Pedro; Gorbunov, Sergey; Gorlich, Lidia Maria; Gotovac, Sven; Graczykowski, Lukasz Kamil; Grajcarek, Robert; Grelli, Alessandro; Grigoras, Alina Gabriela; Grigoras, Costin; Grigoryev, Vladislav; Grigoryan, Ara; Grigoryan, Smbat; Grynyov, Borys; Grion, Nevio; Grosse-Oetringhaus, Jan Fiete; Grossiord, Jean-Yves; Grosso, Raffaele; Guber, Fedor; Guernane, Rachid; Guerzoni, Barbara; Guilbaud, Maxime Rene Joseph; Gulbrandsen, Kristjan Herlache; Gulkanyan, Hrant; Gunji, Taku; Gupta, Anik; Gupta, Ramni; Khan, Kamal; Haake, Rudiger; Haaland, Oystein Senneset; Hadjidakis, Cynthia Marie; Haiduc, Maria; Hamagaki, Hideki; Hamar, Gergoe; Hanratty, Luke David; Hansen, Alexander; Harris, John William; Hartmann, Helvi; Harton, Austin Vincent; Hatzifotiadou, Despina; Hayashi, Shinichi; Heckel, Stefan Thomas; Heide, Markus Ansgar; Helstrup, Haavard; Herghelegiu, Andrei Ionut; Herrera Corral, Gerardo Antonio; Hess, Benjamin Andreas; Hetland, Kristin Fanebust; Hicks, Bernard Richard; Hippolyte, Boris; Hladky, Jan; Hristov, Peter Zahariev; Huang, Meidana; Humanic, Thomas; Hutter, Dirk; Hwang, Dae Sung; Ilkaev, Radiy; Ilkiv, Iryna; Inaba, Motoi; Innocenti, Gian Michele; Ionita, Costin; Ippolitov, Mikhail; Irfan, Muhammad; Ivanov, Marian; Ivanov, Vladimir; Ivanytskyi, Oleksii; Jacholkowski, Adam Wlodzimierz; Jacobs, Peter Martin; Jahnke, Cristiane; Jang, Haeng Jin; Janik, Malgorzata Anna; Pahula Hewage, Sandun; Jena, Satyajit; Jimenez Bustamante, Raul Tonatiuh; Jones, Peter Graham; Jung, Hyungtaik; Jusko, Anton; Kalcher, Sebastian; Kalinak, Peter; Kalweit, Alexander Philipp; Kamin, Jason Adrian; Kang, Ju Hwan; Kaplin, Vladimir; Kar, Somnath; Karasu Uysal, Ayben; Karavichev, Oleg; Karavicheva, Tatiana; Karpechev, Evgeny; Kebschull, Udo Wolfgang; Keidel, Ralf; Ketzer, Bernhard Franz; Khan, Mohammed Mohisin; Khan, Palash; Khan, Shuaib Ahmad; Khanzadeev, Alexei; Kharlov, Yury; Kileng, Bjarte; Kim, Beomkyu; Kim, Do Won; Kim, Dong Jo; Kim, Jinsook; Kim, Mimae; Kim, Minwoo; Kim, Se Yong; Kim, Taesoo; Kirsch, Stefan; Kisel, Ivan; Kiselev, Sergey; Kisiel, Adam Ryszard; Kiss, Gabor; Klay, Jennifer Lynn; Klein, Jochen; Klein-Boesing, Christian; Kluge, Alexander; Knichel, Michael Linus; Knospe, Anders Garritt; Kobdaj, Chinorat; Kofarago, Monika; Kohler, Markus Konrad; Kollegger, Thorsten; Kolozhvari, Anatoly; Kondratev, Valerii; Kondratyeva, Natalia; Konevskikh, Artem; Kovalenko, Vladimir; Kowalski, Marek; Kox, Serge; Koyithatta Meethaleveedu, Greeshma; Kral, Jiri; Kralik, Ivan; Kramer, Frederick; Kravcakova, Adela; Krelina, Michal; Kretz, Matthias; Krivda, Marian; Krizek, Filip; Krus, Miroslav; Kryshen, Evgeny; Krzewicki, Mikolaj; Kucera, Vit; Kucheryaev, Yury; Kugathasan, Thanushan; Kuhn, Christian Claude; Kuijer, Paulus Gerardus; Kulakov, Igor; Kumar, Jitendra; Kurashvili, Podist; Kurepin, Alexander; Kurepin, Alexey; Kuryakin, Alexey; Kushpil, Svetlana; Kweon, Min Jung; Kwon, Youngil; Ladron De Guevara, Pedro; Lagana Fernandes, Caio; Lakomov, Igor; Langoy, Rune; Lara Martinez, Camilo Ernesto; Lardeux, Antoine Xavier; Lattuca, Alessandra; La Pointe, Sarah Louise; La Rocca, Paola; Lea, Ramona; Lee, Graham Richard; Legrand, Iosif; Lehnert, Joerg Walter; Lemmon, Roy Crawford; Lenhardt, Matthieu Laurent; Lenti, Vito; Leogrande, Emilia; Leoncino, Marco; Leon Monzon, Ildefonso; Levai, Peter; Li, Shuang; Lien, Jorgen Andre; Lietava, Roman; Lindal, Svein; Lindenstruth, Volker; Lippmann, Christian; Lisa, Michael Annan; Ljunggren, Hans Martin; Lodato, Davide Francesco; Lonne, Per-Ivar; Loggins, Vera Renee; Loginov, Vitaly; Lohner, Daniel; Loizides, Constantinos; Lopez, Xavier Bernard; Lopez Torres, Ernesto; Lu, Xianguo; Luettig, Philipp Johannes; Lunardon, Marcello; Luo, Jiebin; Luparello, Grazia; Luzzi, Cinzia; Ma, Rongrong; Maevskaya, Alla; Mager, Magnus; Mahapatra, Durga Prasad; Maire, Antonin; Majka, Richard Daniel; Malaev, Mikhail; Maldonado Cervantes, Ivonne Alicia; Malinina, Liudmila; Mal'Kevich, Dmitry; Malzacher, Peter; Mamonov, Alexander; Manceau, Loic Henri Antoine; Manko, Vladislav; Manso, Franck; Manzari, Vito; Marchisone, Massimiliano; Mares, Jiri; Margagliotti, Giacomo Vito; Margotti, Anselmo; Marin, Ana Maria; Markert, Christina; Marquard, Marco; Martashvili, Irakli; Martin, Nicole Alice; Martinengo, Paolo; Martinez Hernandez, Mario Ivan; Martinez-Garcia, Gines; Martin Blanco, Javier; Martynov, Yevgen; Mas, Alexis Jean-Michel; Masciocchi, Silvia; Masera, Massimo; Masoni, Alberto; Massacrier, Laure Marie; Mastroserio, Annalisa; Matyja, Adam Tomasz; Mayer, Christoph; Mazer, Joel Anthony; Mazzoni, Alessandra Maria; Meddi, Franco; Menchaca-Rocha, Arturo Alejandro; Meninno, Elisa; Mercado-Perez, Jorge; Meres, Michal; Miake, Yasuo; Mikhaylov, Konstantin; Milano, Leonardo; Milosevic, Jovan; Mischke, Andre; Mishra, Aditya Nath; Miskowiec, Dariusz Czeslaw; Mitu, Ciprian Mihai; Mlynarz, Jocelyn; Mohanty, Bedangadas; Molnar, Levente; Montano Zetina, Luis Manuel; Montes Prado, Esther; Morando, Maurizio; Moreira De Godoy, Denise Aparecida; Moretto, Sandra; Morreale, Astrid; Morsch, Andreas; Muccifora, Valeria; Mudnic, Eugen; Muhuri, Sanjib; Mukherjee, Maitreyee; Muller, Hans; Gameiro Munhoz, Marcelo; Murray, Sean; Musa, Luciano; Musinsky, Jan; Nandi, Basanta Kumar; Nania, Rosario; Nappi, Eugenio; Nattrass, Christine; Nayak, Tapan Kumar; Nazarenko, Sergey; Nedosekin, Alexander; Nicassio, Maria; Niculescu, Mihai; Nielsen, Borge Svane; Nikolaev, Sergey; Nikulin, Sergey; Nikulin, Vladimir; Nilsen, Bjorn Steven; Noferini, Francesco; Nomokonov, Petr; Nooren, Gerardus; Nyanin, Alexander; Nystrand, Joakim Ingemar; Oeschler, Helmut Oskar; Oh, Saehanseul; Oh, Sun Kun; Okatan, Ali; Olah, Laszlo; Oleniacz, Janusz; Oliveira Da Silva, Antonio Carlos; Onderwaater, Jacobus; Oppedisano, Chiara; Ortiz Velasquez, Antonio; Oskarsson, Anders Nils Erik; Otwinowski, Jacek Tomasz; Oyama, Ken; Sahoo, Pragati; Pachmayer, Yvonne Chiara; Pachr, Milos; Pagano, Paola; Paic, Guy; Painke, Florian; Pajares Vales, Carlos; Pal, Susanta Kumar; Palmeri, Armando; Pant, Divyash; Papikyan, Vardanush; Pappalardo, Giuseppe; Pareek, Pooja; Park, Woojin; Parmar, Sonia; Passfeld, Annika; Patalakha, Dmitry; Paticchio, Vincenzo; Paul, Biswarup; Pawlak, Tomasz Jan; Peitzmann, Thomas; Pereira Da Costa, Hugo Denis Antonio; Pereira De Oliveira Filho, Elienos; Peresunko, Dmitry Yurevich; Perez Lara, Carlos Eugenio; Pesci, Alessandro; Pestov, Yury; Petracek, Vojtech; Petran, Michal; Petris, Mariana; Petrovici, Mihai; Petta, Catia; Piano, Stefano; Pikna, Miroslav; Pillot, Philippe; Pinazza, Ombretta; Pinsky, Lawrence; Piyarathna, Danthasinghe; Ploskon, Mateusz Andrzej; Planinic, Mirko; Pluta, Jan Marian; Pochybova, Sona; Podesta Lerma, Pedro Luis Manuel; Poghosyan, Martin; Pohjoisaho, Esko Heikki Oskari; Polishchuk, Boris; Poljak, Nikola; Pop, Amalia; Porteboeuf, Sarah Julie; Porter, R Jefferson; Pospisil, Vladimir; Potukuchi, Baba; Prasad, Sidharth Kumar; Preghenella, Roberto; Prino, Francesco; Pruneau, Claude Andre; Pshenichnov, Igor; Puccio, Maximiliano; Puddu, Giovanna; Punin, Valery; Putschke, Jorn Henning; Qvigstad, Henrik; Rachevski, Alexandre; Raha, Sibaji; Rak, Jan; Rakotozafindrabe, Andry Malala; Ramello, Luciano; Raniwala, Rashmi; Raniwala, Sudhir; Rasanen, Sami Sakari; Rascanu, Bogdan Theodor; Rathee, Deepika; Rauf, Aamer Wali; Razazi, Vahedeh; Read, Kenneth Francis; Real, Jean-Sebastien; Redlich, Krzysztof; Reed, Rosi Jan; Rehman, Attiq Ur; Reichelt, Patrick Simon; Reicher, Martijn; Reidt, Felix; Renfordt, Rainer Arno Ernst; Reolon, Anna Rita; Reshetin, Andrey; Rettig, Felix Vincenz; Revol, Jean-Pierre; Reygers, Klaus Johannes; Riabov, Viktor; Ricci, Renato Angelo; Richert, Tuva Ora Herenui; Richter, Matthias Rudolph; Riedler, Petra; Riegler, Werner; Riggi, Francesco; Rivetti, Angelo; Rocco, Elena; Rodriguez Cahuantzi, Mario; Rodriguez Manso, Alis; Roeed, Ketil; Rogochaya, Elena; Sharma, Rohni; Rohr, David Michael; Roehrich, Dieter; Romita, Rosa; Ronchetti, Federico; Ronflette, Lucile; Rosnet, Philippe; Rossegger, Stefan; Rossi, Andrea; Roukoutakis, Filimon; Roy, Ankhi; Roy, Christelle Sophie; Roy, Pradip Kumar; Rubio Montero, Antonio Juan; Rui, Rinaldo; Russo, Riccardo; Ryabinkin, Evgeny; Ryabov, Yury; Rybicki, Andrzej; Sadovskiy, Sergey; Safarik, Karel; Sahlmuller, Baldo; Sahoo, Raghunath; Sahu, Pradip Kumar; Saini, Jogender; Salgado Lopez, Carlos Alberto; Salzwedel, Jai Samuel Nielsen; Sambyal, Sanjeev Singh; Samsonov, Vladimir; Sanchez Castro, Xitzel; Sanchez Rodriguez, Fernando Javier; Sandor, Ladislav; Sandoval, Andres; Sano, Masato; Santagati, Gianluca; Sarkar, Debojit; Scapparone, Eugenio; Scarlassara, Fernando; Scharenberg, Rolf Paul; Schiaua, Claudiu Cornel; Schicker, Rainer Martin; Schmidt, Christian Joachim; Schmidt, Hans Rudolf; Schuchmann, Simone; Schukraft, Jurgen; Schulc, Martin; Schuster, Tim Robin; Schutz, Yves Roland; Schwarz, Kilian Eberhard; Schweda, Kai Oliver; Scioli, Gilda; Scomparin, Enrico; Scott, Patrick Aaron; Scott, Rebecca Michelle; Segato, Gianfranco; Seger, Janet Elizabeth; Selyuzhenkov, Ilya; Seo, Jeewon; Serradilla Rodriguez, Eulogio; Sevcenco, Adrian; Shabetai, Alexandre; Shabratova, Galina; Shahoyan, Ruben; Shangaraev, Artem; Sharma, Natasha; Sharma, Satish; Shigaki, Kenta; Shtejer Diaz, Katherin; Sibiryak, Yury; Siddhanta, Sabyasachi; Siemiarczuk, Teodor; Silvermyr, David Olle Rickard; Silvestre, Catherine Micaela; Simatovic, Goran; Singaraju, Rama Narayana; Singh, Ranbir; Singha, Subhash; Singhal, Vikas; Sinha, Bikash; Sarkar - Sinha, Tinku; Sitar, Branislav; Sitta, Mario; Skaali, Bernhard; Skjerdal, Kyrre; Smakal, Radek; Smirnov, Nikolai; Snellings, Raimond; Soegaard, Carsten; Soltz, Ron Ariel; Song, Jihye; Song, Myunggeun; Soramel, Francesca; Sorensen, Soren Pontoppidan; Spacek, Michal; Sputowska, Iwona Anna; Spyropoulou-Stassinaki, Martha; Srivastava, Brijesh Kumar; Stachel, Johanna; Stan, Ionel; Stefanek, Grzegorz; Steinpreis, Matthew Donald; Stenlund, Evert Anders; Steyn, Gideon Francois; Stiller, Johannes Hendrik; Stocco, Diego; Stolpovskiy, Mikhail; Strmen, Peter; Alarcon Do Passo Suaide, Alexandre; Subieta Vasquez, Martin Alfonso; Sugitate, Toru; Suire, Christophe Pierre; Suleymanov, Mais Kazim Oglu; Sultanov, Rishat; Sumbera, Michal; Susa, Tatjana; Symons, Timothy; Szanto De Toledo, Alejandro; Szarka, Imrich; Szczepankiewicz, Adam; Szymanski, Maciej Pawel; Takahashi, Jun; Tangaro, Marco-Antonio; Tapia Takaki, Daniel Jesus; Tarantola Peloni, Attilio; Tarazona Martinez, Alfonso; Tarzila, Madalina-Gabriela; Tauro, Arturo; Tejeda Munoz, Guillermo; Telesca, Adriana; Terrevoli, Cristina; Ter-Minasyan, Astkhik; Thaeder, Jochen Mathias; Thomas, Deepa; Tieulent, Raphael Noel; Timmins, Anthony Robert; Toia, Alberica; Torii, Hisayuki; Trubnikov, Victor; Trzaska, Wladyslaw Henryk; Tsuji, Tomoya; Tumkin, Alexandr; Turrisi, Rosario; Tveter, Trine Spedstad; Ulery, Jason Glyndwr; Ullaland, Kjetil; Uras, Antonio; Usai, Gianluca; Vajzer, Michal; Vala, Martin; Valencia Palomo, Lizardo; Vallero, Sara; Vande Vyvre, Pierre; Vannucci, Luigi; Van Der Maarel, Jasper; Van Hoorne, Jacobus Willem; Van Leeuwen, Marco; Diozcora Vargas Trevino, Aurora; Varma, Raghava; Vasileiou, Maria; Vasiliev, Andrey; Vechernin, Vladimir; Veldhoen, Misha; Velure, Arild; Venaruzzo, Massimo; Vercellin, Ermanno; Vergara Limon, Sergio; Vernet, Renaud; Verweij, Marta; Vickovic, Linda; Viesti, Giuseppe; Viinikainen, Jussi Samuli; Vilakazi, Zabulon; Villalobos Baillie, Orlando; Vinogradov, Alexander; Vinogradov, Leonid; Vinogradov, Yury; Virgili, Tiziano; Vislavicius, Vytautas; Viyogi, Yogendra; Vodopyanov, Alexander; Volkl, Martin Andreas; Voloshin, Kirill; Voloshin, Sergey; Volpe, Giacomo; Von Haller, Barthelemy; Vorobyev, Ivan; Vranic, Danilo; Vrlakova, Janka; Vulpescu, Bogdan; Vyushin, Alexey; Wagner, Boris; Wagner, Jan; Wagner, Vladimir; Wang, Mengliang; Wang, Yifei; Watanabe, Daisuke; Weber, Michael; Weber, Steffen Georg; Wessels, Johannes Peter; Westerhoff, Uwe; Wiechula, Jens; Wikne, Jon; Wilde, Martin Rudolf; Wilk, Grzegorz Andrzej; Wilkinson, Jeremy John; Williams, Crispin; Windelband, Bernd Stefan; Winn, Michael Andreas; Xiang, Changzhou; Yaldo, Chris G; Yamaguchi, Yorito; Yang, Hongyan; Yang, Ping; Yang, Shiming; Yano, Satoshi; Yasnopolskiy, Stanislav; Yi, Jungyu; Yin, Zhongbao; Yoo, In-Kwon; Yushmanov, Igor; Zaccolo, Valentina; Zach, Cenek; Zaman, Ali; Zampolli, Chiara; Zaporozhets, Sergey; Zarochentsev, Andrey; Zavada, Petr; Zavyalov, Nikolay; Zbroszczyk, Hanna Paulina; Zgura, Sorin Ion; Zhalov, Mikhail; Zhang, Haitao; Zhang, Xiaoming; Zhang, Yonghong; Zhao, Chengxin; Zhigareva, Natalia; Zhou, Daicui; Zhou, Fengchu; Zhou, You; Zhu, Hongsheng; Zhu, Jianhui; Zhu, Xiangrong; Zichichi, Antonino; Zimmermann, Alice; Zimmermann, Markus Bernhard; Zinovjev, Gennady; Zoccarato, Yannick Denis; Zynovyev, Mykhaylo; Zyzak, Maksym

    2014-01-01

    ALICE is the heavy-ion experiment at the CERN Large Hadron Collider. The experiment continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams. In this paper we describe the running environment and the data handling procedures, and discuss the performance of the ALICE detectors and analysis methods for various physics observables.

  18. ALICE's main austenitic stainless steel support structure (the Space Frame)

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    This structure is constructed to hold the large volume detectors, such as the Time Projection Chamber, Transition Radiation Detector and Time of Flight inside the ALICE solenoid magnet. After the final assembly at CERN, two large mobile cranes were needed for the job of lifting and turning the 14 tonne frame onto its side. Once shifted, it was placed in Building SX2, one of the surface assembly areas designated for ALICE.

  19. The ALICE Experiment at the LHC and the Mexican Contribution

    International Nuclear Information System (INIS)

    Herrera Corral, G.

    2007-01-01

    The final installation of the detectors that form ALICE has started on year 2005. The first device of ALICE that was completed and set up to work was the Cosmic Ray Detector. The V0A detector will be installed and commissioned on the summer of 2007. These two detectors were designed and built in Mexico. Here we give a very general description of these two devices

  20. Jet energy measurements at ILC. Calorimeter DAQ requirements and application in Higgs boson mass measurements

    International Nuclear Information System (INIS)

    Ebrahimi, Aliakbar

    2017-11-01

    required for the Higgs boson mass measurement can only be achieved using the particle flow approach to reconstruction. The particle flow approach requires highly-granular calorimeters and a highly efficient tracking system. The CALICE collaboration is developing highly-granular calorimeters for such applications. One of the challenges in the development of such calorimeters with millions of read-out channels is their Data Acquisition System (DAQ) system. The second part of this thesis involves contributions to development of a new DAQ system for the CALICE scintillator calorimeters. The new DAQ system fulfills the requirements for the prototypes tests while being scalable to larger systems. The requirements and general architecture of the DAQ system is outlined in this thesis. The new DAQ system has been commissioned and tested with particle beams at the CERN Proton Synchrotron test beam facility in 2014,results of which are presented here.

  1. Jet energy measurements at ILC. Calorimeter DAQ requirements and application in Higgs boson mass measurements

    Energy Technology Data Exchange (ETDEWEB)

    Ebrahimi, Aliakbar

    2017-11-15

    jet energy resolution required for the Higgs boson mass measurement can only be achieved using the particle flow approach to reconstruction. The particle flow approach requires highly-granular calorimeters and a highly efficient tracking system. The CALICE collaboration is developing highly-granular calorimeters for such applications. One of the challenges in the development of such calorimeters with millions of read-out channels is their Data Acquisition System (DAQ) system. The second part of this thesis involves contributions to development of a new DAQ system for the CALICE scintillator calorimeters. The new DAQ system fulfills the requirements for the prototypes tests while being scalable to larger systems. The requirements and general architecture of the DAQ system is outlined in this thesis. The new DAQ system has been commissioned and tested with particle beams at the CERN Proton Synchrotron test beam facility in 2014,results of which are presented here.

  2. Blind quantum computation protocol in which Alice only makes measurements

    Science.gov (United States)

    Morimae, Tomoyuki; Fujii, Keisuke

    2013-05-01

    Blind quantum computation is a new secure quantum computing protocol which enables Alice (who does not have sufficient quantum technology) to delegate her quantum computation to Bob (who has a full-fledged quantum computer) in such a way that Bob cannot learn anything about Alice's input, output, and algorithm. In previous protocols, Alice needs to have a device which generates quantum states, such as single-photon states. Here we propose another type of blind computing protocol where Alice does only measurements, such as the polarization measurements with a threshold detector. In several experimental setups, such as optical systems, the measurement of a state is much easier than the generation of a single-qubit state. Therefore our protocols ease Alice's burden. Furthermore, the security of our protocol is based on the no-signaling principle, which is more fundamental than quantum physics. Finally, our protocols are device independent in the sense that Alice does not need to trust her measurement device in order to guarantee the security.

  3. Open access for ALICE analysis based on virtualization technology

    International Nuclear Information System (INIS)

    Buncic, P; Gheata, M; Schutz, Y

    2015-01-01

    Open access is one of the important leverages for long-term data preservation for a HEP experiment. To guarantee the usability of data analysis tools beyond the experiment lifetime it is crucial that third party users from the scientific community have access to the data and associated software. The ALICE Collaboration has developed a layer of lightweight components built on top of virtualization technology to hide the complexity and details of the experiment-specific software. Users can perform basic analysis tasks within CernVM, a lightweight generic virtual machine, paired with an ALICE specific contextualization. Once the virtual machine is launched, a graphical user interface is automatically started without any additional configuration. This interface allows downloading the base ALICE analysis software and running a set of ALICE analysis modules. Currently the available tools include fully documented tutorials for ALICE analysis, such as the measurement of strange particle production or the nuclear modification factor in Pb-Pb collisions. The interface can be easily extended to include an arbitrary number of additional analysis modules. We present the current status of the tools used by ALICE through the CERN open access portal, and the plans for future extensions of this system. (paper)

  4. Lossy compression of TPC data and trajectory tracking efficiency for the ALICE experiment

    International Nuclear Information System (INIS)

    Nicolaucig, A.; Ivanov, M.; Mattavelli, M.

    2003-01-01

    In this paper a quasi-lossless algorithm for the on-line compression of the data generated by the Time Projection Chamber (TPC) detector of the ALICE experiment at CERN is described. The algorithm is based on a lossy source code modeling technique, i.e. it is based on a source model which is lossy if samples of the TPC signal are considered one by one; conversely, the source model is lossless or quasi-lossless if some physical quantities that are of main interest for the experiment are considered. These quantities are the area and the location of the center of mass of each TPC signal pulse, representing the pulse charge and the time localization of the pulse. So as to evaluate the consequences of the error introduced by the lossy compression process, the results of the trajectory tracking algorithms that process data off-line after the experiment are analyzed, in particular, versus their sensibility to the noise introduced by the compression. Two different versions of these off-line algorithms are described, performing cluster finding and particle tracking. The results on how these algorithms are affected by the lossy compression are reported. Entropy coding can be applied to the set of events defined by the source model to reduce the bit rate to the corresponding source entropy. Using TPC simulated data according to the expected ALICE TPC performance, the compression algorithm achieves a data reduction in the range of 34.2% down to 23.7% of the original data rate depending on the desired precision on the pulse center of mass. The number of operations per input symbol required to implement the algorithm is relatively low, so that a real-time implementation of the compression process embedded in the TPC data acquisition chain using low-cost integrated electronics is a realistic option to effectively reduce the data storing cost of ALICE experiment

  5. A modern and versatile data-acquisition package for calorimeter prototypes test-beams H4DAQ

    CERN Document Server

    Marini, Andrea Carlo

    2017-01-01

    The upgrade of the calorimeters for the HL-LHC or for future colliders requires an extensive programme of tests to qualify different detector prototypes with dedicated test beams. A common data-acquisition system (called H4DAQ) was developed for the H4 test beam line at the North Area of the CERN SPS in 2014 and it has since been adopted by an increasing number of teams involved in the CMS experiment and AIDA groups. Several different calorimeter prototypes and precision timing detectors have used H4DAQ from 2014 to 2017, and it has proved to be a versatile application, portable to many other beam test environments (the CERN beam lines EA-T9 at the PS, H2 and H4 at the SPS, and at the INFN Frascati Beam Test Facility).The H4DAQ is fast, simple, modular and can be configured to support different setups. The different functionalities of the DAQ core software are split into three configurable finite state machines the data readout, run control, and event builder. The distribution of information and data betw...

  6. Upgrade of the ALICE muon trigger electronics

    International Nuclear Information System (INIS)

    Dupieux, P; Joly, B; Jouve, F; Manen, S; Vandaële, R

    2014-01-01

    The ALICE muon trigger is a large scale detector based on single gap bakelite RPCs. An upgrade of the electronics is needed in order to withstand the increase of luminosity after the LHC Long Shutdown-2 in 2018-2019. The detector will be read out at the minimum bias rate of 100 kHz in Pb–Pb collisions (including a safety factor of 2), two orders of magnitude above the present design. For the most exposed RPCs and in the present conditions of operation, the total integrated charge could be as high as 100 mC/cm 2 with rates up to 100 Hz/cm 2 , which is above the present limit for safe operation. In order to overcome these limitations, upgrade projects of the Front-End (FE) and Readout Electronics are scheduled. The readout upgrade at high rate with low dead time requires changing most of the present electronics. It involves a new design for the 234 Local cards receiving the LVDS signals from the FE electronics and the 16 Regional concentrator cards. The readout chain is completed by a single Common Readout Unit developed for most ALICE sub-detectors. The new architecture of the muon trigger readout will be briefly presented. The present FE electronics, designed for the streamer mode, must be replaced to prevent ageing of the RPCs in the future operating conditions. The new FE called FEERIC (for Front-End Electronics Rapid Integrated Circuit) will have to perform amplification of the analog input signals. This will allow for RPC operation in a low-gain avalanche mode, with a much smaller charge deposit (factor 3-5) in the detector as compared to the present conditions. The purpose is to discriminate RPC signals with a charge threshold around 100 fC, in both polarities, and with a time jitter below 1 ns. We will describe the FE card and FEERIC ASIC features and first prototype performance, report on test results obtained on a cosmic test bench and discuss ongoing developments

  7. Characteristics of triple GEM detector for the ALICE TPC upgrade at CERN

    International Nuclear Information System (INIS)

    Patra, Rajendra Nath; Singaraju, R.N.; Ahammed, Z.; Nayak, T.K.; Viyogi, Y.P.; Biswas, S.

    2016-01-01

    Gas Electron Multiplier (GEM) detector, introduced by F. Sauliin 1997 and has been widely improved in last two decades for applications to high energy physics experiments and imaging. GEM detectors have several advantages, like good spatial resolution (∼100 μm), high detection efficiency (>98%), high rate handling capability (∼105 Hz/mm"2 ) and reasonable time response (∼5 ns). The unique features of the GEM detector make it suitable for experiments at Large Hadron Collider (LHC) at CERN and FAIR at GSI. With the increase of beam luminosity of LHC for its next phase of running from the year 2020, the ALICE experiment is planning to take data for PbPb collisions at a rate of 50 kHz. The ALICE Time Projection Chamber (TPC) will be upgraded by GEM based read-out to fulfil this future goal. In this report, results of a thorough test in the laboratory using a newly developed online data monitoring system are discussed

  8. Commissioning and integration testing of the DAQ system for the CMS GEM upgrade

    CERN Document Server

    Castaneda Hernandez, Alfredo Martin

    2017-01-01

    The CMS muon system will undergo a series of upgrades in the coming years to preserve and extend its muon detection capabilities during the High Luminosity LHC.The first of these will be the installation of triple-foil GEM detectors in the CMS forward region with the goal of maintaining trigger rates and preserving good muon reconstruction, even in the expected harsh environment.In 2017 the CMS GEM project is looking to achieve a major milestone in the project with the installation of 5 super-chambers in CMS; this exercise will allow for the study of services installation and commissioning, and integration with the rest of the subsystems for the first time. An overview of the DAQ system will be given with emphasis on the usage during chamber quality control testing, commissioning in CMS, and integration with the central CMS system.

  9. Experience using a distributed object oriented database for a DAQ system

    International Nuclear Information System (INIS)

    Bee, C.P.; Eshghi, S.; Jones, R.

    1996-01-01

    To configure the RD13 data acquisition system, we need many parameters which describe the various hardware and software components. Such information has been defined using an entity-relation model and stored in a commercial memory-resident database. during the last year, Itasca, an object oriented database management system (OODB), was chosen as a replacement database system. We have ported the existing databases (hs and sw configurations, run parameters etc.) to Itasca and integrated it with the run control system. We believe that it is possible to use an OODB in real-time environments such as DAQ systems. In this paper, we present our experience and impression: why we wanted to change from an entity-relational approach, some useful features of Itasca, the issues we meet during this project including integration of the database into an existing distributed environment and factors which influence performance. (author)

  10. Readout Unit-FPGA version for link multipexers, DAQ and VELO trigger

    CERN Document Server

    Müller, H; Guirao, A; Bal, F

    2003-01-01

    The FPGA-based Readout Unit (RU) was designed as entry stage to the readout networks of the LHCb data acquisition and L1-VELO topology trigger systems. The RU performs subevent building from up to 16 custom S-link inputs towards a commercial readout network via a PCI interface card. For output to custom links, as required in datalink multiplexer applications, an output S-link transmitter interface is alternatively available. Baseline readout networks for the RU are intelligent Gbit-ethernet NIC cards for the DAQ system and SCI shared memory network for the L1-VELO system. Any new protocols, like 10Gbit ethernet or Infiniband may be adopted as far as proper PCI interfaces and Linux device drivers will become available. The two baseline RU modes of operation are: 1.) link-multiplexer with N*Slink to single-Slink 2.) eventbuilder interface with quad Slink-to-PCI network interface.

  11. Inbetriebnahme und Kalibrierung der ALICE-TPC

    CERN Document Server

    Wiechula, Jens

    2008-01-01

    ALICE (A Large Ion Collider Experiment), is the dedicated heavy-ion experiment at the Large Hadron Collider (LHC) at CERN. It is optimised to reconstruct and identify the particles created in a lead-lead collision with a centre of mass energy of 5.5TeV. The main tracking detector is a large-volume time-projection chamber (TPC). With an active volume of about 88m^3 and a total readout area of 32.5m^2 it is the most challenging TPC ever build. A central electrode divides the 5m long detector into two drift regions. Each readout side is subdivided into 18 inner and 18 outer multi-wire proportional read-out chambers. The readout area is subdivide into 557568 pads, where each pad is read out by and electronics chanin. A complex calibration is needed in order to reach the design position-resolution of the reconstructed particle tracks of about 200um. One part of the calibration lies in understanding the electronic-response. The work at hand presents results of the pedestal and noise behaviour of the front-end elect...

  12. Hierarchical trigger of the ALICE calorimeters

    CERN Document Server

    Muller, Hans; Novitzky, Norbert; Kral, Jiri; Rak, Jan; Schambach, Joachim; Wang, Ya-Ping; Wang, Dong; Zhou, Daicui

    2010-01-01

    The trigger of the ALICE electromagnetic calorimeters is implemented in 2 hierarchically connected layers of electronics. In the lower layer, level-0 algorithms search shower energy above threshold in locally confined Trigger Region Units (TRU). The top layer is implemented as a single, global trigger unit that receives the trigger data from all TRUs as input to the level-1 algorithm. This architecture was first developed for the PHOS high pT photon trigger before it was adopted by EMCal also for the jet trigger. TRU units digitize up to 112 analogue input signals from the Front End Electronics (FEE) and concentrate their digital stream in a single FPGA. A charge and time summing algorithm is combined with a peakfinder that suppresses spurious noise and is precise to single LHC bunches. With a peak-to-peak noise level of 150 MeV the linear dynamic range above threshold spans from MIP energies at 215 up to 50 GeV. Local level-0 decisions take less than 600 ns after LHC collisions, upon which all TRUs transfer ...

  13. Alice-Anne Martin (1926 - 2016)

    CERN Multimedia

    2016-01-01

    Alice-Anne Martin, known as “Schu” from her maiden name Schubert, passed away on 8 January 2016.   (Image: Gérard Bertin) Hired the year CERN was founded, 1954, when the construction of the Laboratory had not even begun, Schu first worked at the Villa de Cointrin (a historic building now within the grounds of Geneva airport) as a secretary. In this role, she typed the convention between CERN and the Swiss Confederation, prepared by Stéphanie Tixier, as well as some of the "Yellow Reports" that have marked key points in the Laboratory’s history. For example, using a special typewriter with two keyboards – Latin and Greek – she typed the Yellow Report on the KAM theorem by Rolf Hagedorn. Schu also worked with Felix Bloch, the first Director-General of CERN, and later became the secretary of Herbert Coblenz, the first CERN librarian. She was head of the team that edited the proceedings of the ...

  14. Resource-loaded planning for ALICE

    CERN Document Server

    Gastal, M

    2005-01-01

    The ALICE experimental area management team faces various challenges when it comes to sharing scarce resources, indispensable to any efficient installation in a category one worksite. Space, cranes, jigs, and personnel with key competences have to be carefully allocated to activities so as to avoid slowing down work progress. To this intent, a resource loaded planning has been developed that allows highlighting coactivities and prioritizing critical tasks. It uses the built-in capabilities of Microsoft Project. The use of this scheduling tool leads to a more efficient use of time and a safer work environment. The installation sequence resulting from this schedule is presented in this paper. The first part of the sequence focuses on the revision of the coils in the SX2 building. The dipole has then to be installed in the RB26 side of the UX25 cavern. This complex and resource intensive activity has to be performed in parallel with the services installation inside the L3 magnet. On the RB24 side of the cavern t...

  15. ITS Module for the ALICE Experiment

    CERN Document Server

    Ordan, Julien Marius

    2017-01-01

    The pictures showcase the mounting of a module of the New Inner Tracking System (ITS) of ALICE, which will be installed in the heart of the experiment in 2020 and will track particles produced in the collisions. The Inner Layers of the ITS are made of 48 of this modules, which are called “staves”, as they are placed as the staves of a barrel, in cylindrical concentric layers around the particle beam line, and centred with respect to the interaction point. Each Inner Layer stave has a sensitive area of about 1.5cm x 27cm, constituted by 9 aligned silicon pixel chip sensors (1.5cm x 3 cm x 50 micron). The sensors are glued on a light carbon fibre support and are connected through a flex printed circuit, which carries both the power supply and the signals. The Inner Layer staves cover a cylindrical volume around the beam line up to a radius of about 4 cm, while 4 additional layers, called Middle and Outer Layers, reach a radius of about 400 cm. The stave of the Middle and Outer Layers are bigger and host 196...

  16. Study of heavy flavours from muons measured with the ALICE detector in proton-proton and heavy-ion collisions at the CERN-LHC

    International Nuclear Information System (INIS)

    Zhang, X.

    2012-01-01

    ALICE (A Large Ion Collider Experiment) is the experiment dedicated to the study of heavy-ion collisions at the LHC. ALICE also takes part in the LHC proton- proton program which is of great interest for testing perturbative QCD calculations at unprecedented low Bjorken-x values and for providing the necessary baseline for nucleus-nucleus and proton-nucleus collisions. ALICE will also collect, in the beginning of 2013, p-Pb/Pb-p collisions in order to investigate cold nuclear matter effects. ALICE measures quarkonia and open heavy flavours with (di)-electrons, (di)-muons and through the hadronic channels. This thesis work is devoted to the study of open heavy flavours in proton-proton and Pb-Pb collisions via single muons with the ALICE forward muon spectrometer. The document is organized as follows. The first chapter consists in a general introduction on heavy-ion collisions and QCD phase transitions. Chapter 2 summarizes the motivations for the study of open heavy flavours in nucleon-nucleon, nucleon-nucleus and nucleus-nucleus collisions. Chapter 3 gives an overview of the ALICE experiment with a detailed description of the forward muon spectrometer. Chapter 4 gives a short summary of the ALICE online and offline systems. Then the analysis framework (for data and simulations) and in particular the software developed for the study of open heavy flavours is detailed. Chapter 5 summarizes the performance of the ALICE muon spectrometer for the study of the production of open heavy flavours in pp collisions via single muons and dimuons. Chapters 6 to 9 are dedicated to data analysis. Chapter 6 deals with the analysis of first pp collisions at 900 GeV. The main aim was the understanding of the response of the apparatus. Chapter 7 presents the measurement of the production of heavy flavour decay muons in pp collisions at √(s) = 7 TeV. The analysis strategy is described: event and track selection, background subtraction (mainly the contribution of muons from primary

  17. The Anatomy of A.L.I.C.E.

    Science.gov (United States)

    Wallace, Richard S.

    This paper is a technical presentation of Artificial Linguistic Internet Computer Entity (A.L.I.C.E.) and Artificial Intelligence Markup Language (AIML), set in context by historical and philosophical ruminations on human consciousness. A.L.I.C.E., the first AIML-based personality program, won the Loebner Prize as "the most human computer" at the annual Turing Test contests in 2000, 2001, and 2004. The program, and the organization that develops it, is a product of the world of free software. More than 500 volunteers from around the world have contributed to her development. This paper describes the history of A.L.I.C.E. and AIML-free software since 1995, noting that the theme and strategy of deception and pretense upon which AIML is based can be traced through the history of Artificial Intelligence research. This paper goes on to show how to use AIML to create robot personalities like A.L.I.C.E. that pretend to be intelligent and selfaware. The paper winds up with a survey of some of the philosophical literature on the question of consciousness. We consider Searle's Chinese Room, and the view that natural language understanding by a computer is impossible. We note that the proposition "consciousness is an illusion" may be undermined by the paradoxes it apparently implies. We conclude that A.L.I.C.E. does pass the Turing Test, at least, to paraphrase Abraham Lincoln, for some of the people some of the time.

  18. Federico Antinori elected as the new ALICE Spokesperson

    CERN Multimedia

    Iva Raynova

    2016-01-01

    On 8 April 2016 the ALICE Collaboration Board elected Federico Antinori from INFN Padova (Italy) as the new ALICE Spokesperson.   During his three-year mandate, starting in January 2017, he will lead a collaboration of more than 1500 people from 154 physics institutes across the globe. Antinori has been a member of the collaboration ever since it was created and he has already held many senior leadership positions. Currently he is the experiment’s Physics Coordinator and as such he has the responsibility to overview the whole sector of physics analysis. During his mandate ALICE has produced many of its most prominent results. Before that he was the Coordinator of the Heavy Ion First Physics Task Force, charged with the analysis of the first Pb-Pb data samples. In 2007 and 2008 Federico served as ALICE Deputy Spokesperson. He was also the first ALICE Trigger Coordinator, having a central role in defining the experiment’s trigger menus from the first run in 2009 until the end of...

  19. Detector performance of the ALICE silicon pixel detector

    CERN Document Server

    Cavicchioli, C

    2011-01-01

    The ALICE Silicon Pixel Detector (SPD) forms the two innermost layers of the ALICE Inner Tracking System (ITS). It consists of two barrel layers of hybrid silicon pixel detectors at radii of 39 and 76 mm. The physics targets of the ALICE experiment require that the material budget of the SPD is kept within approximate to 1\\%X(0) per layer. This has set some stringent constraints on the design and construction of the SPD. A unique feature of the ALICE SPD is that it is capable of providing a prompt trigger signal, called Fast-OR, which contributes to the L0 trigger decision. The pixel trigger system allows to apply a set of algorithms for the trigger selection, and its output is sent to the Central Trigger Processor (CTP). The detector has been installed in the experiment in summer 2007. During the first injection tests in June 2008 the SPD was able to record the very first sign of life of the LHC by registering secondary particles from the beam dumped upstream the ALICE experiment. In the following months the...

  20. 10'000 ton ALICE gets her UK-built "Brain"

    CERN Multimedia

    Maddock, Julia

    2007-01-01

    For one of the four LEP experiments, called ALICE, the process got a step closer last week when a crucial part of the 10'000-ton detector, the British-built Central Trigger Processor (CTP), was installed in the ALICE cavern, some 150 feet underground. (plus background information about ALICE) (2,5 pages)

  1. Disability Exclusion and Rights: The Life Story of Alice Jamieson

    Directory of Open Access Journals (Sweden)

    Allison Lynch

    2014-06-01

    Full Text Available There is a commonly held belief that fear of disability by society is the reason for segregation of the disabled. Although acknowledging the validity of such a belief, this paper disputes this claim as it pertains to sufferers of mental illness. Specifically it explores one woman’s development of dissociative identity disorder as a result of years of incestuous abuse. Alice Jamieson developed multiple personalities in order to survive her horrendous childhood, which ultimately caused her to live a life of segregation and social exclusion. Alice did however; experience the enabling effects of positive, supportive relationships on rare occasions throughout her childhood (with her grandfather and her adult life (with a work colleague. The telling of her story bought Alice a powerful sense of healing and has helped raise awareness of childhood sexual abuse and its devastating consequences.

  2. ALICE Connex : Mobile Volunteer Computing and Edutainment Platform

    CERN Document Server

    Chalumporn, Gantaphon

    2016-01-01

    Mobile devices are very powerful and trend to be developed. They have functions that are used in everyday life. One of their main tasks is to be an entertainment devices or gaming platform. A lot of technologies are now accepted and adopted to improve the potential of education. Edutainment is a combination of entertainment and education media together to make use of both benefits. In this work, we introduce a design of edutainment platform which is a part of mobile volunteer computing and edutainment platform called ‘ALICE Connex’ for ALICE at CERN. The edutainment platform focuses to deliver enjoyment and education, while promotes ALICE and Volunteer Computing platform to general public. The design in this work describes the functionality to build an effective edutainment with real-time multiplayer interaction on round-based gameplay, while integrates seamless edutainment with basic particle physic content though game mechanism and items design. For the assessment method we will observe the enjoyment o...

  3. Neutral meson production measurements with the ALICE at the LHC

    Directory of Open Access Journals (Sweden)

    Ganoti Paraskevi

    2017-01-01

    Full Text Available Identified hadron spectra are considered to be sensitive to the transport properties of strongly interacting matter produced in high-energy nucleus-nucleus collisions. π0 and η mesons in ALICE are identified via their two-photon decays by using calorimeters and the central tracking system. In the latter, photons are measured via their conversion to electron-positron pairs in the material of the inner ALICE barrel tracking detectors. The measured production spectra in pp, p–Pb and Pb–Pb collisions at mid–rapidity and over a wide pT range will be presented in the available Large Hadron Collider (LHC energies of Run I. The resulting nuclear modification factor RAA at different centrality classes shows a clear pattern of strong suppression in the hot QCD medium with respect to pp collisions. Comparison of the ALICE results on neutral mesons with lower-energy experiments is also discussed.

  4. AliEn: ALICE environment on the GRID

    International Nuclear Information System (INIS)

    Bagnasco, S; Betev, L; Buncic, P; Carminati, F; Cirstoiu, C; Grigoras, C; Hayrapetyan, A; Harutyunyan, A; Peters, A J; Saiz, P

    2008-01-01

    Starting from mid-2008, the ALICE detector at CERN LHC will collect data at a rate of 4PB per year. ALICE will use exclusively distributed Grid resources to store, process and analyse this data. The top-level management of the Grid resources is done through the AliEn (ALICE Environment) system, which is in continuous development since year 2000. AliEn presents several original solutions, which have shown their viability in a number of large exercises of increasing complexity called Data Challenges. This paper describes the AliEn architecture: Job Management, Data Management and UI. The current status of AliEn will be illustrated, as well as the performance of the system during the data challenges. The paper also describes the future AliEn development roadmap

  5. Computing Architecture of the ALICE Detector Control System

    CERN Document Server

    Augustinus, A; Moreno, A; Kurepin, A N; De Cataldo, G; Pinazza, O; Rosinský, P; Lechman, M; Jirdén, L S

    2011-01-01

    The ALICE Detector Control System (DCS) is based on a commercial SCADA product, running on a large Windows computer cluster. It communicates with about 1200 network attached devices to assure safe and stable operation of the experiment. In the presentation we focus on the design of the ALICE DCS computer systems. We describe the management of data flow, mechanisms for handling the large data amounts and information exchange with external systems. One of the key operational requirements is an intuitive, error proof and robust user interface allowing for simple operation of the experiment. At the same time the typical operator task, like trending or routine checks of the devices, must be decoupled from the automated operation in order to prevent overload of critical parts of the system. All these requirements must be implemented in an environment with strict security requirements. In the presentation we explain how these demands affected the architecture of the ALICE DCS.

  6. AliEn: ALICE Environment on the GRID

    CERN Multimedia

    Bagnasco, S; Buncic, P; Carminati, F; Cirstoiu, C; Grigoras, C; Hayrapetyan, A; Harutyunyan, A; Peters, A J; Saiz, P

    2007-01-01

    Starting from mid-2008, the ALICE detector at CERN LHC will collect data at a rate of 4PB per year. ALICE will use exclusively distributed Grid resources to store, process and analyse this data. The top-level management of the Grid resources is done through the AliEn (ALICE Environment) system, which is in continuous development since year 2000. AliEn presents several original solutions, which have shown their viability in a number of large exercises of increasing complexity called Data Challenges. This paper describes the AliEn architecture: Job Management, Data Management and UI. The current status of AliEn will be illustrated, as well as the performance of the system during the data challenges. The paper also describes the future AliEn development roadmap.

  7. The effective action of a BPS Alice string

    Energy Technology Data Exchange (ETDEWEB)

    Chatterjee, Chandrasekhar; Nitta, Muneto [Keio University, Department of Physics, and Research and Education Center for Natural Sciences, Yokohama, Kanagawa (Japan)

    2017-11-15

    Recently a BPS Alice string has been found in a U(1) x SO(3) gauge theory coupled with three charged complex scalar fields in the triplet representation (in JHEP 1709:046 arXiv:1703.08971 [hep-th], 2017). It is a half BPS state preserving a half of the supercharges when embedded into a supersymmetric gauge theory. In this paper, we study zero modes of a BPS Alice string. After presenting U(1) and translational zero modes, we construct the effective action of these modes. In contrast to a previous analysis of the conventional Alice string for which only large distance behaviors are known, we can exactly perform a calculation in the full space thanks to the BPS properties. (orig.)

  8. A Bayesian approach to particle identification in ALICE

    CERN Multimedia

    CERN. Geneva

    2016-01-01

    Among the LHC experiments, ALICE has unique particle identification (PID) capabilities exploiting different types of detectors. During Run 1, a Bayesian approach to PID was developed and intensively tested. It facilitates the combination of information from different sub-systems. The adopted methodology and formalism as well as the performance of the Bayesian PID approach for charged pions, kaons and protons in the central barrel of ALICE will be reviewed. Results are presented with PID performed via measurements of specific energy loss (dE/dx) and time-of-flight using information from the TPC and TOF detectors, respectively. Methods to extract priors from data and to compare PID efficiencies and misidentification probabilities in data and Monte Carlo using high-purity samples of identified particles will be presented. Bayesian PID results were found consistent with previous measurements published by ALICE. The Bayesian PID approach gives a higher signal-to-background ratio and a similar or larger statist...

  9. Real Time Global Tests of the ALICE High Level Trigger Data Transport Framework

    CERN Document Server

    Becker, B.; Cicalo J.; Cleymans, C.; de Vaux, G.; Fearick, R.W.; Lindenstruth, V.; Richter, M.; Rorich, D.; Staley, F.; Steinbeck, T.M.; Szostak, A.; Tilsner, H.; Weis, R.; Vilakazi, Z.Z.

    2008-01-01

    The High Level Trigger (HLT) system of the ALICE experiment is an online event filter and trigger system designed for input bandwidths of up to 25 GB/s at event rates of up to 1 kHz. The system is designed as a scalable PC cluster, implementing several hundred nodes. The transport of data in the system is handled by an object-oriented data flow framework operating on the basis of the publisher-subscriber principle, being designed fully pipelined with lowest processing overhead and communication latency in the cluster. In this paper, we report the latest measurements where this framework has been operated on five different sites over a global north-south link extending more than 10,000 km, processing a ``real-time'' data flow.

  10. Evénements ALICE - French version only

    CERN Multimedia

    2004-01-01

    Le 29 septembre 2004 à 15h00, programme « A la rencontre d'ALICE », à la Médiathèque municipale de Saint-Genis-Pouilly, France. Histoire pour des enfants (à partir de 8 ans), extraite de la bande dessinée: « ALICE et la soupe de quarks et de gluons ». Le 2 octobre 2004 à 11h00, programme « A la rencontre d'ALICE », à la Médiathèque municipale de Saint-Genis-Pouilly, France. Présentation ALICE pour les adolescents (à partir de 14 ans).

  11. Radiation hard analog circuits for ALICE ITS upgrade

    OpenAIRE

    Gajanana, D; Gromov, V; Kuijer, P; Kugathasan, T; Snoeys, W

    2016-01-01

    The ALICE experiment is planning to upgrade the ITS (Inner Tracking System) [1] detector during the LS2 shutdown. The present ITS will be fully replaced with a new one entirely based on CMOS monolithic pixel sensor chips fabricated in TowerJazz CMOS 0.18 μ m imaging technology. The large (3 cm × 1.5 cm  = 4.5 cm(2)) ALPIDE (ALICE PIxel DEtector) sensor chip contains about 500 Kpixels, and will be used to cover a 10 m(2) area with 12.5 Gpixels distributed over seven cylindrical layers. The ALP...

  12. Probe station for testing of ALICE silicon drift detectors

    CERN Document Server

    Humanic, T J; Piemonte, C; Rashevsky, A; Sugarbaker, E R; Vacchi, A

    2003-01-01

    Large area, 7.25 cm multiplied by 8.76 cm silicon drift detectors have been developed and are in production for the ALICE experiment at LHC. An active area of the detector of more than 50 cm**2 imposes high demands on the quality of processing and raw material. Automated testing procedures have been developed to test detectors before mounting them on the ladders. Probe stations for ALICE SDD testing were designed and built at INFN, Trieste and Ohio State University (OSU). Testing procedures, detector selection criteria and some details of the OSU probe station design are discussed.

  13. The Time Projection Chamber for the ALICE Experiment

    CERN Document Server

    Lippmann, C

    2008-01-01

    The Time Projection Chamber of the ALICE Experiment has been installed in the experimental setup in the underground area at the Large Hadron Collider at CERN in Geneva. The Alice TPC ReadOut (ALTRO) chip implements intelligent signal processing on the Front-End-Electronics. During the years of 2007 and 2008 commissioning and calibration of the TPC have been carried out with cosmic rays, radioactive Krypton isotopes and with tracks produced by a UV laser system. In addition to these in this publication we present first results on energy loss measurements and on the momentum resolution.

  14. FPGA Co-processor for the ALICE High Level Trigger

    CERN Document Server

    Grastveit, G.; Lindenstruth, V.; Loizides, C.; Roehrich, D.; Skaali, B.; Steinbeck, T.; Stock, R.; Tilsner, H.; Ullaland, K.; Vestbo, A.; Vik, T.

    2003-01-01

    The High Level Trigger (HLT) of the ALICE experiment requires massive parallel computing. One of the main tasks of the HLT system is two-dimensional cluster finding on raw data of the Time Projection Chamber (TPC), which is the main data source of ALICE. To reduce the number of computing nodes needed in the HLT farm, FPGAs, which are an intrinsic part of the system, will be utilized for this task. VHDL code implementing the Fast Cluster Finder algorithm, has been written, a testbed for functional verification of the code has been developed, and the code has been synthesized

  15. Test Results of the ALICE-HMPID Detector Commissioning

    CERN Document Server

    Volpe, G

    2008-01-01

    The ALICE High Momentum Particle Identification Detector (HMPID) consists of seven identical proximity focusing RICH counters. It covers in total 11 m2, exploiting large area CsI photocathodes for Cherenkov light imaging. The detector is installed in the ALICE solenoid, ready for the data acquisition. By means of the Detector Control System, the Front-end (FEE) and the Readout (R/O) electronics, the MWPC high voltages, the cooling and the gas system have been tested. The HMPID module gas pressure, temperature, current and voltage trends have been monitored and archived in the ORACLE database. In this paper a comprehensive review on the test results is presented.

  16. In-beam experience with a highly granular DAQ and control network: TrbNet

    International Nuclear Information System (INIS)

    Michel, J; Korcyl, G; Maier, L; Traxler, M

    2013-01-01

    Virtually all Data Acquisition Systems (DAQ) for nuclear and particle physics experiments use a large number of Field Programmable Gate Arrays (FPGAs) for data transport and more complex tasks as pattern recognition and data reduction. All these FPGAs in a large system have to share a common state like a trigger number or an epoch counter to keep the system synchronized for a consistent event/epoch building. Additionally, the collected data has to be transported with high bandwidth, optionally via the ubiquitous Ethernet protocol. Furthermore, the FPGAs' internal states and configuration memories have to be accessed for control and monitoring purposes. Another requirement for a modern DAQ-network is the fault-tolerance for intermittent data errors in the form of automatic retransmission of faulty data. As FPGAs suffer from Single Event Effects when exposed to ionizing particles, the system has to deal with failing FPGAs. The TrbNet protocol was developed taking all these requirements into account. Three virtual channels are merged on one physical medium: The trigger/epoch information is transported with the highest priority. The data channel is second in the priority order, while the control channel is the last. Combined with a small frame size of 80 bit this guarantees a low latency data transport: A system with 100 front-ends can be built with a one-way latency of 2.2 us. The TrbNet-protocol was implemented in each of the 550 FPGAs of the HADES upgrade project and has been successfully used during the Au+Au campaign in April 2012. With 2⋅10 6 /s Au-ions and 3% interaction ratio the accepted trigger rate is 10 kHz while data is written to storage with 150 MBytes/s. Errors are reliably mitigated via the implemented retransmission of packets and auto-shut-down of individual links. TrbNet was also used for full monitoring of the FEE status. The network stack is written in VHDL and was successfully deployed on various Lattice and Xilinx devices. The TrbNet is also

  17. In-beam experience with a highly granular DAQ and control network: TrbNet

    Science.gov (United States)

    Michel, J.; Korcyl, G.; Maier, L.; Traxler, M.

    2013-02-01

    Virtually all Data Acquisition Systems (DAQ) for nuclear and particle physics experiments use a large number of Field Programmable Gate Arrays (FPGAs) for data transport and more complex tasks as pattern recognition and data reduction. All these FPGAs in a large system have to share a common state like a trigger number or an epoch counter to keep the system synchronized for a consistent event/epoch building. Additionally, the collected data has to be transported with high bandwidth, optionally via the ubiquitous Ethernet protocol. Furthermore, the FPGAs' internal states and configuration memories have to be accessed for control and monitoring purposes. Another requirement for a modern DAQ-network is the fault-tolerance for intermittent data errors in the form of automatic retransmission of faulty data. As FPGAs suffer from Single Event Effects when exposed to ionizing particles, the system has to deal with failing FPGAs. The TrbNet protocol was developed taking all these requirements into account. Three virtual channels are merged on one physical medium: The trigger/epoch information is transported with the highest priority. The data channel is second in the priority order, while the control channel is the last. Combined with a small frame size of 80 bit this guarantees a low latency data transport: A system with 100 front-ends can be built with a one-way latency of 2.2 us. The TrbNet-protocol was implemented in each of the 550 FPGAs of the HADES upgrade project and has been successfully used during the Au+Au campaign in April 2012. With 2ṡ106/s Au-ions and 3% interaction ratio the accepted trigger rate is 10 kHz while data is written to storage with 150 MBytes/s. Errors are reliably mitigated via the implemented retransmission of packets and auto-shut-down of individual links. TrbNet was also used for full monitoring of the FEE status. The network stack is written in VHDL and was successfully deployed on various Lattice and Xilinx devices. The TrbNet is also

  18. Development of a cost-effective and flexible vibration DAQ system for long-term continuous structural health monitoring

    Science.gov (United States)

    Nguyen, Theanh; Chan, Tommy H. T.; Thambiratnam, David P.; King, Les

    2015-12-01

    In the structural health monitoring (SHM) field, long-term continuous vibration-based monitoring is becoming increasingly popular as this could keep track of the health status of structures during their service lives. However, implementing such a system is not always feasible due to on-going conflicts between budget constraints and the need of sophisticated systems to monitor real-world structures under their demanding in-service conditions. To address this problem, this paper presents a comprehensive development of a cost-effective and flexible vibration DAQ system for long-term continuous SHM of a newly constructed institutional complex with a special focus on the main building. First, selections of sensor type and sensor positions are scrutinized to overcome adversities such as low-frequency and low-level vibration measurements. In order to economically tackle the sparse measurement problem, a cost-optimized Ethernet-based peripheral DAQ model is first adopted to form the system skeleton. A combination of a high-resolution timing coordination method based on the TCP/IP command communication medium and a periodic system resynchronization strategy is then proposed to synchronize data from multiple distributed DAQ units. The results of both experimental evaluations and experimental-numerical verifications show that the proposed DAQ system in general and the data synchronization solution in particular work well and they can provide a promising cost-effective and flexible alternative for use in real-world SHM projects. Finally, the paper demonstrates simple but effective ways to make use of the developed monitoring system for long-term continuous structural health evaluation as well as to use the instrumented building herein as a multi-purpose benchmark structure for studying not only practical SHM problems but also synchronization related issues.

  19. Design of low noise front-end ASIC and DAQ system for CdZnTe detector

    International Nuclear Information System (INIS)

    Luo Jie; Deng Zhi; Liu Yinong

    2012-01-01

    A low noise front-end ASIC has been designed for CdZnTe detector. This chip contains 16 channels and each channel consists of a dual-stage charge sensitive preamplifier, 4th order semi-Gaussian shaper, leakage current compensation (LCC) circuit, discriminator and output buffer. This chip has been fabricated in Chartered 0.35 μm CMOS process, the preliminary results show that it works well. The total channel charge gain can be adjusted from 100 mV/fC to 400 mV/fC and the peaking time can be adjusted from 1 μs to 4 μs. The minimum measured ENC at zero input capacitance is 70 e and minimum noise slope is 20 e/pF. The peak detector and derandomizer (PDD) ASIC developed by BNL and an associated USB DAQ board are also introduced in this paper. Two front-end ASICs can be connected to the PDD ASIC on the USB DAQ board and compose a 32 channels DAQ system for CdZnTe detector. (authors)

  20. Experience with the silicon strip detector of ALICE

    NARCIS (Netherlands)

    Nooren, G.J.L.

    2009-01-01

    The Silicon Strip Detector (SSD) forms the two outermost layers of the ALICE Inner Track- ing System (ITS), connecting the TPC with the inner layers of the ITS. The SSD consists of 1698 double-sided silicon microstrip modules, 95 μm pitch, distributed in two cylindrical bar- rels, whose radii are

  1. Award for Distinguished Scientific Contributions: Alice H. Eagly

    Science.gov (United States)

    American Psychologist, 2009

    2009-01-01

    Alice H. Eagly, winner of the Award for Distinguished Scientific Contributions, is cited for her work in the field of social psychology, the psychology of gender, and the use of meta-analytic techniques. She envisions a psychology that extends from individual cognitions to societal structures. In addition to the citation, a biography and selected…

  2. GEM Foil Quality Assurance For The ALICE TPC Upgrade

    Directory of Open Access Journals (Sweden)

    Brücken Erik

    2018-01-01

    Full Text Available The ALICE (A Large Ion Collider Experiment experiment at the Large Hadron Collider (LHC at CERN is dedicated to heavy ion physics to explore the structure of strongly interacting matter. The Time Projection Chamber (TPC of ALICE is a tracking detector located in the central region of the experiment. It offers excellent tracking capabilities as well as particle identification. After the second long shutdown (LS2 the LHC will run at substantially higher luminosities. To be able to increase the data acquisition rate by a factor of 100, the ALICE TPC experiment has to replace the Multi-Wire Proportional Chamber (MWPC –based readout chambers. The MWPC are operated with gating grid that limits the rate to O(kHz. The new ReadOut Chamber (ROC design is based on Gas Electron Multiplier (GEM technology operating in continuous mode. The current GEM productions scheme foresees the production of more than 800 GEM foils of different types. To fulfill the requirements on the performance of the GEM TPC readout, necessitates thorough Quality Assurance (QA measures. The QA scheme, developed by the ALICE collaboration, will be presented in detail.

  3. Measurement of Forward-Backward Charged Particle Correlations with ALICE

    DEFF Research Database (Denmark)

    Søgaard, Carsten

    Part I of the defence covers experimental development carried out in the ALICE experiment at the Large Hadron Collider at the European Organisation for Nuclear Research - CERN. For the Time Projection Chamber a sophisticated laser calibration system has been developed by the Niels Bohr Institute...

  4. Alice moltiplicata. Un teatro fluido per nuove pratiche di resistenza

    Directory of Open Access Journals (Sweden)

    Giuseppe Sofo

    2017-06-01

    Full Text Available "L come Alice" is a 2013 show establishing a link between various versions of Lewis Carroll’s character. This archetype is connected with Antonin Artaud’s translation, Walt Disney’s cartoon, a film by Jan Švankmajer, as well as with Gilles Deleuze’s philosophy.

  5. ALICE breaks through the one Gigabyte/sec barrier

    CERN Multimedia

    2003-01-01

    The test phases of the ALICE data acquisition system, known as the Data Challenges, are celebrating their fourth anniversary. The fruit of collaboration between several of the experiment's groups and IT Division, the 2002 tests concentrated on the system's performance and stability.

  6. Performance of the ALICE experiment at the CERN LHC

    NARCIS (Netherlands)

    Meddi, F.; Menchaca-Rocha, A.; Meninno, E.; Mercado Pérez, J.; Meres, M.; Miake, Y.; Mikhaylov, K.; Milano, L.; Milosevic, J.; Mischke, A.; Mishra, A. N.; Mis̈kowiec, D.; Mitu, C. M.; Mlynarz, J.; Mohanty, B.; Molnar, L.; Montano Zetina, L.; Montes, E.; Morando, M.; Moreira De Godoy, D. A.; Moretto, S.; Morreale, A.; Morsch, A.; Muccifora, V.; Mudnic, E.; Muhuri, S.; Mukherjee, M.; Müller, H.; Munhoz, M. G.; Murray, S.; Musa, L.; Musinsky, J.; Nandi, B. K.; Nania, R.; Nappi, E.; Nattrass, C.; Nayak, T. K.; Nazarenko, S.; Nedosekin, A.; Nicassio, M.; Niculescu, M.; Nielsen, B. S.; Nikolaev, S.; Nikulin, S.; Nikulin, V.; Nilsen, B. S.; Noferini, F.; Nomokonov, P.; Nooren, G.; Nyanin, A.; Nystrand, J.; Oeschler, H.; Oh, S.; Oh, S. K.; Okatan, A.; Olah, L.; Oleniacz, J.; Oliveira Da Silva, A. C.; Onderwaater, J.; Oppedisano, C.; Ortiz Velasquez, A.; Oskarsson, A.; Twinowski, J.; Oyama, K.; Sahoo, P.; Pachmayer, Y.; Pachr, M.; Pagano, P.; Paić, G.; Painke, F.; Pajares, C.; Pal, S. K.; Palmeri, A.; Pant, D.; Papikyan, V.; Pappalardo, G. S.; Pareek, P.; Park, W. J.; Parmar, S.; Passfeld, A.; Patalakha, D. I.; Paticchio, V.; Paul, B.; Pawlak, T.; Peitzmann, T.; Pereira Da Costa, H.; Pereira De Oliveira Filho, E.; Peresunko, D.; Pérez Lara, C. E.; Pesci, A.; Pestov, Y.; Petráček, V.; Petran, M.; Petris, M.; Petrovici, M.; Petta, C.; Piano, S.; Pikna, M.; Pillot, P.; Pinazza, O.; Pinsky, L.; Piyarathna, D. B.; Ploskoń, M.; Planinic, M.; Pluta, J.; Pochybova, S.; Podesta-Lerma, P. L M; Poghosyan, M. G.; Pohjoisaho, E. H O; Polichtchouk, B.; Poljak, N.; Pop, A.; Porteboeuf-Houssais, S.; Porter, J.; Pospisil, V.; Potukuchi, B.; Prasad, S. K.; Preghenella, R.; Prino, F.; Pruneau, C. A.; Pshenichnov, I.; Puccio, M.; Puddu, G.; Punin, V.; Putschke, J.; Qvigstad, H.; Rachevski, A.; Raha, S.; Rak, J.; Rakotozafindrabe, A.; Ramello, L.; Raniwala, R.; Raniwala, S.; Räsänen, S. S.; Rascanu, B. T.; Rathee, D.; Rauf, A. W.; Razazi, V.; Read, K. F.; Real, J. S.; Redlich, K.; Reed, R. J.; Rehman, A.; Reichelt, P.; Reicher, M.; Reidt, F.; Renfordt, R.; Reolon, A. R.; Reshetin, A.; Rettig, F.; Revol, J. P.; Reygers, K.; Riabov, V.; Ricci, R. A.; Richert, T.; Richter, M.; Riedler, P.; Riegler, W.; Riggi, F.; Rivetti, A.; Rocco, E.; Rodríguez Cahuantzi, M.; Rodriguez Manso, A.; Rd, K.; Rogochaya, E.; Rohni, S.; Rohr, D.; Röhrich, D.; Romita, R.; Ronchetti, F.; Ronflette, L.; Rosnet, P.; Rossegger, S.; Rossi, A.; Roukoutakis, F.; Roy, A.; Roy, C.; Roy, P.; Rubio Montero, A. J.; Rui, R.; Russo, R.; Ryabinkin, E.; Ryabov, Y.; Rybicki, A.; Sadovsky, S.; Safarík, K.; Sahlmuller, B.; Sahoo, R.; Sahu, P. K.; Saini, J.; Salgado, C. A.; Salzwedel, J.; Sambyal, S.; Samsonov, V.; Sanchez Castro, X.; Sánchez Rodríguez, F. J.; Sándor, L.; Sandoval, A.; Sano, M.; Santagati, G.; Sarkar, D.; Scapparone, E.; Scarlassara, F.; Scharenberg, R. P.; Schiaua, C.; Schicker, R.; Schmidt, C.; Schmidt, H. R.; Schuchmann, S.; Schukraft, J.; Schulc, M.; Schuster, T.; Schutz, Y.; Schwarz, K.; Schweda, K.; Scioli, G.; Scomparin, E.; Scott, P. A.; Scott, R.; Segato, G.; Seger, J. E.; Selyuzhenkov, I.; Seo, J.; Serradilla, E.; Sevcenco, A.; Shabetai, A.; Shabratova, G.; Shahoyan, R.; Shangaraev, A.; Sharma, N.; Sharma, S.; Shigaki, K.; Shtejer, K.; Sibiriak, Y.; Siddhanta, S.; Siemiarczuk, T.; Silvermyr, D.; Silvestre, C.; Simatovic, G.; Singaraju, R.; Singh, R.; Singha, S.; Singhal, V.; Sinha, C. B.; Sinha, T.; Sitar, B.; Sitta, M.; Skaali, T. B.; Skjerdal, K.; Smakal, R.; Smirnov, N.; Snellings, R. J M; Saard, C.; Soltz, R.; Song, J.; Song, M.; Soramel, F.; Sorensen, S.; Spacek, M.; Sputowska, I.; Spyropoulou-Stassinaki, M.; Srivastava, B. K.; Stachel, J.; Stan, I.; Stefanek, G.; Steinpreis, M.; Stenlund, E.; Steyn, G.; Stiller, J. H.; Stocco, D.; Stolpovskiy, M.; Strmen, P.; Suaide, A. A P; Subieta Vasquez, M. A.; Sugitate, T.; Suire, C.; Suleymanov, M.; Sultanov, R.; Sumbera, M.; Susa, T.; Symons, T. J M; Szanto De Toledo, A.; Szarka, I.; Szczepankiewicz, A.; Szymanski, M.; Takahashi, J.; Tangaro, M. A.; Tapia Takaki, J. D.; Tarantola Peloni, A.; Tarazona Martinez, A.; Tarzila, M. G.; Tauro, A.; Tejeda Muñoz, G.; Telesca, A.; Terrevoli, C.; Ter Minasyan, A.; Thäder, J.; Thomas, D.; Tieulent, R.; Timmins, A. R.; Toia, A.; Torii, H.; Trubnikov, V.; Trzaska, W. H.; Tsuji, T.; Tumkin, A.; Turrisi, R.; Tveter, T. S.; Ulery, J.; Ullaland, K.; Uras, A.; Usai, G. L.; Vajzer, M.; Vala, M.; Valencia Palomo, L.; Vallero, S.; Vande Vyvre, P.; Vannucci, L.; Van Der Maarel, J.; Van Hoorne, J. W.; Van Leeuwen, M.; Vargas, A.; Varma, R.; Vasileiou, M.; Vasiliev, A.; Vechernin, V.; Veldhoen, M.; Velure, A.; Venaruzzo, M.; Vercellin, E.; Vergara Limón, S.; Vernet, R.; Verweij, M.; Vickovic, L.; Viesti, G.; Viinikainen, J.; Vilakazi, Z.; Villalobos Baillie, O.; Vinogradov, A.; Vinogradov, L.; Vinogradov, Y.; Virgili, T.; Vislavicius, V.; Viyogi, P. Y.; Vodopyanov, A.; Völkl, M. A.; Voloshin, K.; Voloshin, S. A.; Volpe, G.; Von Haller, B.; Vorobyev, I.; Vranic, D.; Vrláková, J.; Vulpescu, B.; Vyushin, A.; Wagner, B.; Wagner, J.; Wagner, V.; Wang, M.; Wang, Y.; Watanabe, D.; Weber, M.; Weber, S. G.; Wessels, J. P.; Westerhoff, U.; Wiechula, J.; Wikne, J.; Wilde, M.; Wilk, G.; Wilkinson, J.; Williams, M. C S; Windelband, B.; Winn, M.; Xiang, C.; Yaldo, C. G.; Yamaguchi, Y.; Yang, H.; Yang, P.; Yang, S.; Yano, S.; Yasnopolskiy, S.; Yi, J.; Yin, Z.; Yoo, I. K.; Yushmanov, I.; Zaccolo, V.; Zach, C.; Zaman, A.; Zampolli, C.; Zaporozhets, S.; Zarochentsev, A.; Závada, P.; Zaviyalov, N.; Zbroszczyk, H.; Zgura, I. S.; Zhalov, M.; Zhang, H.; Zhang, X.; Zhang, Y.; Zhao, C.; Zhigareva, N.; Zhou, D.; Zhou, F.; Zhou, Y.; Zhu, H.; Zhu, J.; Zhu, X.; Zichichi, A.; Zimmermann, A.; Zimmermann, M. B.; Zinovjev, G.; Zoccarato, Y.; Zynovyev, M.; Zyzak, M.

    2014-01-01

    ALICE is the heavy-ion experiment at the CERN Large Hadron Collider. The experiment continuously took data during the first physics campaign of the machine from fall 2009 until early 2013, using proton and lead-ion beams. In this paper we describe the running environment and the data handling

  7. GEM Foil Quality Assurance For The ALICE TPC Upgrade

    Science.gov (United States)

    Brücken, Erik; Hildén, Timo

    2018-02-01

    The ALICE (A Large Ion Collider Experiment) experiment at the Large Hadron Collider (LHC) at CERN is dedicated to heavy ion physics to explore the structure of strongly interacting matter. The Time Projection Chamber (TPC) of ALICE is a tracking detector located in the central region of the experiment. It offers excellent tracking capabilities as well as particle identification. After the second long shutdown (LS2) the LHC will run at substantially higher luminosities. To be able to increase the data acquisition rate by a factor of 100, the ALICE TPC experiment has to replace the Multi-Wire Proportional Chamber (MWPC) -based readout chambers. The MWPC are operated with gating grid that limits the rate to O(kHz). The new ReadOut Chamber (ROC) design is based on Gas Electron Multiplier (GEM) technology operating in continuous mode. The current GEM productions scheme foresees the production of more than 800 GEM foils of different types. To fulfill the requirements on the performance of the GEM TPC readout, necessitates thorough Quality Assurance (QA) measures. The QA scheme, developed by the ALICE collaboration, will be presented in detail.

  8. The “24 hours” of the ALICE magnet

    CERN Multimedia

    2005-01-01

    The ALICE dipole magnet, now in its final location in the cavern at Point 2 , has run at full current for 24 hours. The dipole of the ALICE muon spectrometer has successfully completed new tests in its final position. The ALICE detector is based on two large magnets - the big solenoid magnet formerly used by L3 on LEP, and a new dipole magnet, built through a strong and successful collaboration with a team from JINR in Russia, under the direction of Detlef Swoboda from TS-LEA at CERN. By October 2004, the dipole had been assembled in a preliminary position in the ALICE cavern, and in November it successfully passed extensive testing (CERN Bulletin 04/05). Now it has been transferred to its final position on the far side of the L3 solenoid, and has passed tests with flying colours. The first â€ワpre-assembly” was necessary to perform all the remaining machining operations for fixing the coils and to verify the assembly tooling, as the available space in the final location is very limited and does no...

  9. Romanian Physicists at CERN work for the Alice Program

    CERN Multimedia

    2007-01-01

    "For the past six years a team of Romanian scientists from the Institute of Nuclear Physics in Magurele, Romania, work as part of an international team of CERN to recreate the very first moments of the Universe, right after the Big Bang. The experiment was called Alice."(2 pages)

  10. Upgrade of the ALICE Experiment Letter Of Intent

    Czech Academy of Sciences Publication Activity Database

    Abelev, B.; Adam, J.; Adamová, Dagmar; Bielčík, J.; Bielčíková, Jana; Čepila, J.; Ferencei, J.; Křelina, M.; Krus, M.; Kushpil, Svetlana; Kushpil, Vasilij; Mareš, Jiří A.; Pachr, M.; Petráček, V.; Petráň, M.; Polák, Karel; Pospíšil, V.; Šmakal, R.; Šumbera, Michal; Tlustý, D.; Vajzer, Michal; Wagner, V.; Zach, Č.; Závada, Petr

    2014-01-01

    Roč. 41, č. 8 (2014), 087001 ISSN 0954-3899 R&D Projects: GA MŠk(CZ) LG13031 Institutional support: RVO:68378271 ; RVO:61389005 Keywords : ALICE Subject RIV: BG - Nuclear, Atomic and Molecular Physics, Colliders; BF - Elementary Particles and High Energy Physics (FZU-D) Impact factor: 2.777, year: 2014

  11. The Sky Is No Longer the Limit for Alice

    Science.gov (United States)

    Monge, Louise

    2016-01-01

    In March 2016, representatives from Australian Science Teachers Association (ASTA) were invited to BHP Billiton's head office in Melbourne, Australia, to listen to astronautical engineer and NASA New Horizons Mission Operations Manager Alice Bowman discuss her career trajectory and the role her choices in education played in her success. Alice…

  12. ALICE Time Projection Chamber (TPC) Readout Sector in Lab

    CERN Multimedia

    2003-01-01

    The Time Projection Chamber (TPC) is the main particle tracking detector in ALICE. Charged particles crossing the gas of the TPC knock electrons out of their atoms, which drift in the eletric field. By measuring the arrival of electrons at the end of the chamber, at segments such as the one shown here, the TPC will reconstruct the paths of the original charged particles.

  13. Three Generations of FPGA DAQ Development for the ATLAS Pixel Detector

    CERN Document Server

    AUTHOR|(CDS)2091916; Hsu, Shih-Chieh; Hauck, Scott Alan

    The Large Hadron Collider (LHC) at the European Center for Nuclear Research (CERN) tracks a schedule of long physics runs, followed by periods of inactivity known as Long Shutdowns (LS). During these LS phases both the LHC, and the experiments around its ring, undergo maintenance and upgrades. For the LHC these upgrades improve their ability to create data for physicists; the more data the LHC can create the more opportunities there are for rare events to appear that physicists will be interested in. The experiments upgrade so they can record the data and ensure the event won’t be missed. Currently the LHC is in Run 2 having completed the first LS of three. This thesis focuses on the development of Field-Programmable Gate Array (FPGA)-based readout systems that span across three major tasks of the ATLAS Pixel data acquisition (DAQ) system. The evolution of Pixel DAQ’s Readout Driver (ROD) card is presented. Starting from improvements made to the new Insertable B-Layer (IBL) ROD design, which was part of t...

  14. AliEn - GRID application for ALICE Collaboration

    International Nuclear Information System (INIS)

    Zgura, Ion-Sorin

    2003-01-01

    AliEn (ALICE Environment) is a GRID framework built on top of the latest Internet standards for information exchange and authentication (SOAP, PKI) and common Open Source components. AliEn provides a virtual file catalogue that allows transparent access to distributed data-sets and a number of collaborating Web services which implement the authentication, job execution, file transport, performance monitor and event logging.The ALICE experiment has developed AliEn as an implementation of distributed computing infrastructure needed to simulate, reconstruct and analyze data from the experiment. The sites that belong to the ALICE Virtual Organisation can be seen and used as a single entity - any available node executes jobs and access to logical and datasets is transparent to the user. In developing AliEn common standards and solutions in the form of Open Source components were used. Only 1% (25k physical lines of code in Perl) is native AliEn code while 99% of the code has been imported in form of Open Sources packages and Perl modules. Currently ALICE is using the system for distributed production of Monte Carlo data at over 30 sites on four continents. During the last twelve months more than 30,000 jobs have been successfully run under AliEn control worldwide, totalling 25 CPU years and producing 20 TB of data. The user interface is compatible to EU DataGrid at the level of authentication and job description language. In perspective AliEn will be interfaced to the mainstream Grid infrastructure in HEP and it will remain to serve as interface between ALICE Offline framework and external Grid infrastructure. (authors)

  15. ALICES: an advanced object-oriented software workshop for simulators

    International Nuclear Information System (INIS)

    Sayet, R.L.; Rouault, G.; Pieroux, D.; Houte, U. Van

    1999-01-01

    Reducing simulator development costs while improving model quality, user-friendliness and teaching capabilities, is a major target for many years in the simulation industry. It has led to the development of specific software tools which have been improved progressively following the new features and capabilities offered by the software industry. Unlike most of these software tools, ALICES (which is a French acronym for 'Interactive Software Workshop for the Design of Simulators') is not an upgrade of a previous generation of tools, like putting a graphical front-end to a classical code generator, but a really new development. Its design specification is based on previous experience with different tools as well as on new capabilities of software technology, mainly in Object Oriented Design. This allowed us to make a real technological 'jump' in the simulation industry, beyond the constraints of some traditional approaches. The main objectives behind the development of ALICES were the following: (1) Minimizing the simulator development time and costs: a simulator development consists mainly in developing software. One way to reduce costs is to facilitate reuse of existing software by developing standard components, and by defining interface standards, (2) Insuring that the produced simulator can be maintained and updated at a minimal cost: a simulator must evolve along with the simulated process, and it is then necessary to update periodically the simulator. The cost of an adequate maintenance is highly dependent of the quality of the software workshop, (3) Covering the whole simulator development process: from the data package to the acceptance tests and for maintenance and upgrade activities; with the whole development team, even if it is dispatched at different working sites; respecting the Quality Assurance rules and procedures (CORYS T.E.S.S. and TRACTEBEL are ISO-9001 certified). The development of ALICES was also done to comply with the following two main

  16. Exploiting the ALICE HLT for PROOF by scheduling of Virtual Machines

    International Nuclear Information System (INIS)

    Meoni, Marco; Boettger, Stefan; Zelnicek, Pierre; Kebschull, Udo; Lindenstruth, Volker

    2011-01-01

    The HLT (High-Level Trigger) group of the ALICE experiment at the LHC has prepared a virtual Parallel ROOT Facility (PROOF) enabled cluster (HAF - HLT Analysis Facility) for fast physics analysis, detector calibration and reconstruction of data samples. The HLT-Cluster currently consists of 2860 CPU cores and 175TB of storage. Its purpose is the online filtering of the relevant part of data produced by the particle detector. However, data taking is not running continuously and exploiting unused cluster resources for other applications is highly desirable and improves the usage-cost ratio of the HLT cluster. As such, unused computing resources are dedicated to a PROOF-enabled virtual cluster available to the entire collaboration. This setup is especially aimed at the prototyping phase of analyses that need a high number of development iterations and a short response time, e.g. tuning of analysis cuts, calibration and alignment. HAF machines are enabled and disabled upon user request to start or complete analysis tasks. This is achieved by a virtual machine scheduling framework which dynamically assigns and migrates virtual machines running PROOF workers to unused physical resources. Using this approach we extend the HLT usage scheme to running both online and offline computing, thereby optimizing the resource usage.

  17. Status of the ALICE TPC upgrade for high-rate operation

    Energy Technology Data Exchange (ETDEWEB)

    Gasik, Piotr [TU Muenchen, Physik Department E12, Excellence Cluster ' ' Universe' ' , D-85748, Garching (Germany); Collaboration: ALICE-Collaboration

    2015-07-01

    A large Time Projection Chamber (TPC) is the main device for tracking and charged particle identification in the ALICE experiment at the CERN LHC. After the second long shutdown in 2018/2019, the LHC will deliver Pb beams colliding at an interaction rate of about 50 kHz, which is about a factor of 100 above the present readout rate of the TPC. This will result in a significant improvement on the sensitivity of rare probes that are considered key observables to characterise the hot and dense QCD matter created in such collisions. In order to make full use of this luminosity, a major upgrade of the TPC is required. It is foreseen to replace the existing MWPC-based readout chambers by Gas Electron Multiplier (GEM) detectors to overcome the rate limitations imposed by the present gated readout scheme. An extensive R and D program has been launched to reach the challenging requirements of the upcoming upgrade of the detector. In this presentation the most recent results are discussed concerning ion backflow suppression, gain stability, energy and dE/dx resolution and stability against discharges. The status of the upgrade of the online calibration and data reduction system, which includes advanced techniques for online corrections of space-charge distortions, as well as the development of a new readout electronics are reported.

  18. Measurements of heavy-flavour decay leptons with ALICE

    Directory of Open Access Journals (Sweden)

    Sakai Shingo

    2015-01-01

    Full Text Available We present measurements of electrons and muons from heavy-flavour hadron decays at central and forward rapidity performed by the ALICE Collaboration in p–Pb (√sNN = 5.02 TeV and Pb–Pb collisions (√sNN = 2.76 TeV. Electrons are reconstructed using several detectors of the ALICE central barrel. Muons are reconstructed using the muon spectrometer at forward rapidity (2.5 < y < 4. The nuclear modification factors in Pb–Pb (RAA and in p–Pb (RpPb collisions, and the azimuthal anisotropy (v2 in Pb– Pb collisions will be discussed. Theoretical predictions are compared with the data. In addition, the measurement of the azimuthal correlation between electrons from heavyflavour hadron decays and charged hadrons in p–Pb collisions will be shown.

  19. A security architecture for the ALICE grid services

    CERN Document Server

    Schreiner, Steffen; Buchmann, Johannes; Betev, Latchezar; Grigoras, Alina

    2012-01-01

    Globally distributed research cyberinfrastructures, like the ALICE Grid Services, need to provide traceability and accountability of operations and internal interactions. This document presents a new security architecture for the ALICE Grid Services, allowing to establish non-repudiation with respect to creatorship and ownership of Grid files and jobs. It is based on mutually authenticated and encrypted communication using X.509 Public Key Infrastructure and the Transport Layer Security (TLS) protocol. Introducing certified Grid file entries and signed Grid jobs by implementing a model of Mediated Definite Delegation it allows to establish long-term accountability concerning Grid jobs and files. Initial submissions as well as any alteration of Grid jobs are becoming verifiable and can be traced back to the originator. The architecture has been implemented as a prototype along with the development of a new central Grid middleware, called jAliEn.

  20. Will ALICE run in the HL-LHC era?

    International Nuclear Information System (INIS)

    Wessels, J.P.

    2012-01-01

    We will present the perspectives for ion running in the HL-LHC era. In particular, ALICE is preparing a significant upgrade of its rate capabilities and is further extending its particle identification potential. This paves the way for heavy ion physics at unprecedented luminosities, which are expected in the HL-LHC era with the heaviest ions. Here, we outline a scenario, in which ALICE will be taking data at a luminosity of L > 6*10 27 cm -2 *s -1 for Pb-Pb with the aim of collecting at least 10 nb -1 . The potential interest of data-taking during high luminosity proton runs for ATLAS and CMS will also be commented. (author)

  1. Pioneras del punk: el caso de Alice Bag

    Directory of Open Access Journals (Sweden)

    Soraya Alonso Alconada

    2017-10-01

    Full Text Available El objetivo de este trabajo es presentar a la música chicana Alice Bag como una de las figuras influyentes en la temprana escena punk de Los Ángeles, California, quien ayudó a abrir el camino a una afluencia mayor de mujeres en la música punk, poniendo así algunos temas feministas en primera línea. De este modo, trataremos de ampliar el ámbito de estudio del punk. Tanto su autobiografía Violence Girl, From East L.A. Rage to Hollywood Stage (2011 y su casi recién estrenado LP Alice Bag (2016 abarcan temas relacionados con la condición de las mujeres chicanas, convirtiendo al punk en una poderosa plataforma de la que se ayuda para articular conceptos feministas y étnicos.

  2. The Level 0 Pixel Trigger system for the ALICE experiment

    International Nuclear Information System (INIS)

    Rinella, G Aglieri; Kluge, A; Krivda, M

    2007-01-01

    The ALICE Silicon Pixel Detector contains 1200 readout chips. Fast-OR signals indicate the presence of at least one hit in the 8192 pixel matrix of each chip. The 1200 bits are transmitted every 100 ns on 120 data readout optical links using the G-Link protocol. The Pixel Trigger System extracts and processes them to deliver an input signal to the Level 0 trigger processor targeting a latency of 800 ns. The system is compact, modular and based on FPGA devices. The architecture allows the user to define and implement various trigger algorithms. The system uses advanced 12-channel parallel optical fiber modules operating at 1310 nm as optical receivers and 12 deserializer chips closely packed in small area receiver boards. Alternative solutions with multi-channel G-Link deserializers implemented directly in programmable hardware devices were investigated. The design of the system and the progress of the ALICE Pixel Trigger project are described in this paper

  3. The ALICE Transition Radiation Detector: Construction, operation, and performance

    Science.gov (United States)

    Alice Collaboration

    2018-02-01

    The Transition Radiation Detector (TRD) was designed and built to enhance the capabilities of the ALICE detector at the Large Hadron Collider (LHC). While aimed at providing electron identification and triggering, the TRD also contributes significantly to the track reconstruction and calibration in the central barrel of ALICE. In this paper the design, construction, operation, and performance of this detector are discussed. A pion rejection factor of up to 410 is achieved at a momentum of 1 GeV/ c in p-Pb collisions and the resolution at high transverse momentum improves by about 40% when including the TRD information in track reconstruction. The triggering capability is demonstrated both for jet, light nuclei, and electron selection.

  4. Members of the ALICE collaboration greet the arrival of the experiment's first 500 lead tungstate crystals

    CERN Multimedia

    Maximilien Brice

    2002-01-01

    L. to r: Vladislav Manko (Kurchatov Institute, Moscow, PHOS project leader), Arne Klovning (University of Bergen, PHOS technical coordinator), Vyacheslav Demanov (VNIIEF, Sarov), Bjorn Pommeresche (University of Bergen), Hans de Groot (CERN, ALICE resource coordinator), Dimitri Alexandrov (Kurchatov Institute, Moscow), Mikhail Ippolitov (Kurchatov Institute, Moscow), Yuri Vinogradov (VNIIEF, Sarov), Chris Fabjan (CERN, ALICE technical coordinator), Yuri Sibiriak (Kurchatov Institute, Moscow), Sergei Sadovsky (IHEP, Protvino), Jurgen Schukraft (CERN, ALICE spokesperson).

  5. AliEn - ALICE environment on the GRID

    CERN Document Server

    Saiz, P; Buncic, P; Piskac, R; Revsbech, J E; Sego, V

    2003-01-01

    AliEn (http://alien.cern.ch) (ALICE Environment) is a Grid framework built on top of the latest Internet standards for information exchange and authentication (SOAP, PKI) and common Open Source components. AliEn provides a virtual file catalogue that allows transparent access to distributed datasets and a number of collaborating Web services which implement the authentication, job execution, file transport, performance monitor and event logging. In the paper we will present the architecture and components of the system.

  6. Lead tungstate crystal of the ALICE Photon Spectrometer (PHOS)

    CERN Document Server

    Patrice Loïez

    2002-01-01

    A consignment of 500 lead tungstate crystals arrived at CERN from the northern Russian town of Apatity in May. Destined for the ALICE heavy-ion experiment in preparation for the Large Hadron Collider, each crystal is an 18 cm long rod with a 2.2 cm square section, and weighs some 750 g. A total of 17 000 crystals will make up the experiment's photon spectrometer.

  7. AliEn - ALICE environment on the GRID

    International Nuclear Information System (INIS)

    Saiz, P.; Aphecetche, L.; Buncic, P.; Piskac, R.; Revsbech, J.-E.; Sego, V.

    2003-01-01

    AliEn (http://alien.cern.ch) (ALICE Environment) is a Grid framework built on top of the latest Internet standards for information exchange and authentication (SOAP, PKI) and common Open Source components. AliEn provides a virtual file catalogue that allows transparent access to distributed datasets and a number of collaborating Web services which implement the authentication, job execution, file transport, performance monitor and event logging. In the paper we will present the architecture and components of the system

  8. Track finding with neural networks in ALICE ITS

    International Nuclear Information System (INIS)

    Batyunya, B.V.; Belikov, Yu.A.; Fedunov, A.G.; Zinchenko, A.I.

    1996-01-01

    A program based on Neural Networks technique was developed for track recognition in ALICE ITS. The efficiency of this program was estimated on Monte Carlo simulated events for particles with p T ≤ 100 MeV/c. The advantages of this program are the high performance, the capability of track finding in conditions of the high particle multiplicity and the ability to find tracks distorted by the multiple Coulomb scattering and the energy losses. 7 refs., 1 tab

  9. Quality Assurance procedures for the construction of ALICE TOF detector

    Science.gov (United States)

    Akindinov, A.; Alessandrini, S.; Alici, A.; Antonioli, P.; Arcelli, S.; Basile, M.; Cara Romeo, G.; Cavazza, D.; Cifarelli, L.; Cindolo, F.; D'Antone, I.; De Caro, A.; De Pasquale, S.; Di Bartolomeo, A.; Furini, M.; Fusco Girard, M.; Golovin, V.; Grishuk, Yu.; Guerzoni, M.; Guida, M.; Hatzifotiadou, D.; Jung, W. W.; Kim, H. N.; Kim, D. H.; Kim, D. W.; Kiselev, S.; Laurenti, G.; Luvisetto, M. L.; Mal'kevich, D.; Margotti, A.; Massera, F.; Meneghini, S.; Michinelli, R.; Nania, R.; Noferini, F.; Pancaldi, G.; Pesci, A.; Pilastrini, R.; Pinazza, O.; Preghenella, R.; Rizzi, M.; Ryabinin, M.; Scapparone, E.; Scioli, G.; Sellitto, S.; Semeria, F.; Serra, S.; Silvestri, R.; Smirnitski, A.; Ugolini, E.; Usenko, E.; Voloshin, K.; Williams, M. C. S.; Zagreev, B.; Zampolli, C.; Zichichi, A.; Zinine, A.; Zucchini, A.; Zuffa, M.

    2006-08-01

    The goal of the MRPC-detector production for the ALICE TOF is to guarantee the same excellent performances obtained so far with all the prototypes. A set of quality assurance tests has been developed for this purpose; these tests are applied both to the single chamber components and to the assembled detectors. In this paper the results of these tests over a few hundreds MRPCs of the mass production will be presented.

  10. Production of ALICE microstrip detectors at ITC-irst

    International Nuclear Information System (INIS)

    Gregori, Paolo; Bellutti, Pierluigi; Boscardin, Maurizio; Collini, Amos; Dalla Betta, Gian-Franco; Pucker, Georg; Zorzi, Nicola

    2007-01-01

    We report on the results from the production of 600 double-sided silicon microstrip detectors for the ALICE experiment. We present the fabrication process and some selected results from the electrical characterization of detectors and test structures. The large amount of experimental data allowed a statistically relevant analysis to be performed. The main technological aspects related to production yield optimization will also be addressed

  11. Quality Assurance procedures for the construction of ALICE TOF detector

    International Nuclear Information System (INIS)

    Akindinov, A.; Alessandrini, S.; Alici, A.

    2006-01-01

    The goal of the MRPC-detector production for the ALICE TOF is to guarantee the same excellent performances obtained so far with all the prototypes. A set of quality assurance tests has been developed for this purpose; these tests are applied both to the single chamber components and to the assembled detectors. In this paper the results of these tests over a few hundreds MRPCs of the mass production will be presented

  12. A Dashboard for the Italian Computing in ALICE

    Science.gov (United States)

    Elia, D.; Vino, G.; Bagnasco, S.; Crescente, A.; Donvito, G.; Franco, A.; Lusso, S.; Mura, D.; Piano, S.; Platania, G.; ALICE Collaboration

    2017-10-01

    A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. To overcome these limitations a dedicated ALICE dashboard has been designed and implemented in each of the ALICE Tier-2 sites in Italy: in particular, it provides a single, interactive and easily customizable graphical interface where heterogeneous data are presented. The dashboard is based on two main ingredients: an open source time-series database and a dashboard builder tool for visualizing time-series metrics. Various sensors, able to collect data from the multiple data sources, have been also written. A first version of a national computing dashboard has been implemented using a specific instance of the builder to gather data from all the local databases.

  13. Monitoring and calibration of the ALICE time projection chamber

    CERN Document Server

    Larsen, Dag Toppe

    The aim of the A Large Ion Collider Experiment (ALICE) experiment at CERN is to study the properties of the Quark–Gluon Plasma (QGP). With energies up to 5.5 A T eV for Pb+Pb collisions, the Large Hadron Collider (LHC) sets a new benchmark for heavy- ion collisions, and opens the door to a so far unexplored energy domain. A closer look at some of the physics topics of ALICE is given in Chapter 1. ALICE consists of several sub-detectors and other sub-systems. The various sub- detectors are designed for exploring different aspects of the particle production of an heavy-ion collision. Chapter 2 gives some insight into the design. The main tracking detector is the Time Projection Chamber (TPC). It has more than half million read-out channels, divided into 216 Read-out Partitions (RPs). Each RP is a separate Front-End Electronics (FEE) entity, as described in Chapter 3. A complex Detector Control System (DCS) is needed for configuration, monitoring and control. The heart of it on the RP side is a small embedded ...

  14. Jets with ALICE: from vacuum to high-temperature QCD

    CERN Multimedia

    CERN. Geneva

    2014-01-01

    ALICE measures jets in pp, p-Pb and Pb-Pb collisions to study modifications of the jet fragmentation due to cold nuclear and hot QCD matter. In pp collisions ALICE has measured inclusive jet yields, the ratio of yields with different resolution R, a variety of jet shapes and the semi-inclusive rate of jets recoiling against a high transverse momentum hadron trigger. These measurements are compared to NLO calculations including hadronization corrections and to MC models. Jets in pp are primarily conceived as a vacuum reference for jet observables in p-Pb and Pb-Pb collisions. In p-Pb collisions ALICE explores cold nuclear matter effects on jet yields, jet fragmentation and dijet acoplanarity. The hot and dense medium created in heavy-ion collisions is expected to modify the fragmentation of high energy partonic projectiles leading to changes in the energy and structure of the reconstructed jets with respect to pp jets. The study of modified jets aims at understanding the detailed mechanisms of in-medium energy...

  15. The Readout Control Unit of the ALICE TPC

    CERN Document Server

    Lien, J A; Musa, L

    2004-01-01

    The ALICE Time Projection Chamber (TPC) is the main tracking detector of the central barrel of the ALICE (A Large Ion Collider) Experiment at the Large Hadron Collider (LHC), being constructed at CERN, Geneva. It is a 88 m$^{3}$ cylinder filled with gas and divided into two drift regions by the central electrode located at its axial center. The readout chambers of the TPC are multi-wire proportional chambers with cathode pad readout. About 570 000 pads are read-out by an electronics chain of amplification, digitalization and pre-processing. One of the challenges in designing the TPC for ALICE is the design of Front End Electronics (FEE) to cope with the data rates and the channel occupancy. The Readout Control Unit (RCU), which is presented in this work, is designed to control and monitor the Front End Electronics, and to collect and ship data to the High Level Trigger and the Data Acquisition System, via the Detector Data Link (DDL - optical fibre). The RCU must be capable of reading out up to 200 Mbytes/s f...

  16. Ré-imaginer Alice au pays des merveilles

    Directory of Open Access Journals (Sweden)

    Florence Cheron

    2016-12-01

    Full Text Available Alice’s Adventures in Wonderland fait l’objet d’adaptations cinématographiques dès les débuts du cinéma. De nombreuses analyses soulèvent, et ce dès les années 1990, le lien tacite entre les films de Tim Burton et les aventures d’Alice. Que ce soient les personnages, les univers ou encore l’absurdité des situations, il semblait évident que le cinéaste en viendrait un jour à filmer sa vision des écrits de Lewis Carroll, comme l’aboutissement d’une idée qui serait en germe depuis toujours. Le réalisateur rendant hommage aux premières illustrations mais aussi aux différentes adaptations d’Alice au cinéma, effectue une synthèse visuelle et narrative de l’ensemble de ces œuvres comme si son Alice in Wonderland devait être une transposition-somme.

  17. Successful beam tests for ALICE Transition Radiation Detector

    CERN Multimedia

    2002-01-01

    Another round of beam tests of prototypes for the Transition Radiation Detector (TRD) for ALICE has been completed and there are already some good results. Mass production of the components of the detector will start early next year.   Top view of the setup for the Transition Radiation Detector prototype tests at CERN.On the left, can be seen the full-scale TRD prototype together with four smaller versions. These are busy days for the TRD (Transition Radiation Detector) team of ALICE. Twenty people - mainly from Germany, but also from Russia and Japan - were working hard during the beam tests this autumn at CERN to assess the performance of their detector prototypes. Analysis of the data shows that the TRD can achieve the desired physics goal even for the highest conceivable multiplicities in lead-lead collisions at the LHC. In its final configuration in the ALICE experiment, the TRD will greatly help in identifying high-momentum electrons, which are 'needles in a haystack' that consists mostly of...

  18. Dr Phil Mjwara Director General, Department of Science and Technology (DST) Ministry of Science and Technology Republic of South Africa visit the Alice experiment introduce by Prof. Jurgen Schukraft, spokeperson for Alice.

    CERN Multimedia

    Maximilien Brice

    2007-01-01

    Dr Phil Mjwara Director General, Department of Science and Technology (DST) Ministry of Science and Technology Republic of South Africa visit the Alice experiment introduce by Prof. Jurgen Schukraft, spokeperson for Alice.

  19. 17 September 2013 - Polish Members of Parliament visiting the Tunnel at Point 2 with Senior Engineer, Technology Department A. Siemko and visiting the ALICE cavern with ALICE Collaboration, B. Erazmus

    CERN Multimedia

    Anna Pantelia

    2013-01-01

    17 September 2013 - Polish Members of Parliament visiting the Tunnel at Point 2 with Senior Engineer, Technology Department A. Siemko and visiting the ALICE cavern with ALICE Collaboration, B. Erazmus

  20. A.L.I.C.E.: an ACE in Digitaland

    Directory of Open Access Journals (Sweden)

    Huma Shah

    2008-07-01

    Full Text Available Artificial linguistic Internet computer entity, A.L.I.C.E. is considered head and shoulders above other artificial conversational entities, an ACE in digitaland. Three times winner of Loebner’s annual instantiation of Turing’s Test for machine intelligence in 2000, 2001 and 2004 judged most human-like machine, A.L.I.C.E. was additionally gold medal champion in 2004, for most knowledgeable programme in Chatterbox Challenge and won bronze medal for most popular ACE. As a modern Eliza, A.L.I.C.E appears as a dark-haired, blue-eyed female avatar, or e-person. The programme’s architecture contains a combinatory scheme including key-word matching, spell checker, grammatical parser, random sentence generator and case-based reasoning or next-neighbour classification. These features allow A.L.I.C.E. to correctly identify the sense of word ‘live’ to produce responses about residential location when asked “where do you live?” and ask question about “subject” being “studied” when presented with “I study a lot”. As a discourse model, discourse features such as information exchange, disclosure of intentions, goals and desires are minimally exhibited in A.L.I.C.E.’s conversations; its verbal behaviour is akin to that of autistic children. However, A.L.I.C.E. type programmes appear on e-commerce Internet sites in a variety of roles; their use will continue to grow as more companies see their deployment as enhancing humancomputer interaction while building brand awareness and increasing sales. ELBOT, Loebner’s 2003 bronze runner up and Chatterbox 2003 winner, is the underlying technology behind text-based dialogical query system Anna, used by Swedish furniture store IKEA. As a virtual customer service agent, NY Wall Street Journal considered it a most useful ACE. As seen in both the Loebner Contests and Chatterbox Challenges, in unrestricted domains these programmes have a long way to go before they are able to constrain their

  1. First measurements with the ALICE detector at LHC

    International Nuclear Information System (INIS)

    Elia, D.

    2009-01-01

    The ALICE experiment is designed to measure the properties of strongly interacting matter created in heavy-ion collisions at LHC. The apparatus has several features, such as low p T acceptance and powerful tracking over a broad momentum range, that make ALICE also an important contributor to the first proton-proton physics. In this respect the ALICE physics program aims both at setting the baseline for the understanding of the heavy-ion data and exploring the new energy domain. The charged-particle multiplicity and pseudorapidity density distributions will be the first measurements that ALICE will perform, both in p-p and in Pb-Pb collisions. As those observables correspond to basic properties of the collisions in the new energy domain at LHC, their knowledge will allow to constrain the hadroproduction models and correctly configure the Monte Carlo generators. Moreover, the measurement of the charged-particle pseudorapidity density in the central rapidity region will extend the existing energy dependence pattern and provide an estimate of the energy density attained in the early phase of the collision. Besides these very first measurements, p T spectra of both all charged and identified particles, baryon number transport and strangeness production analyses will also be carried out within the p-p first physics programme. Since it will follow the first p-p run, the early heavy-ion data taking is expected to be carried out with a fully commissioned detector: in particular alignment and calibrations will be available from the previously collected comics and p-p samples. Data quality and statistics should allow, already with this pilot run, to explore quite a rich physics spectrum. The first few 10 4 events (both minimum bias and central collisions) will provide information about global event properties such us multiplicity, pseudorapidity density and elliptical flow. With a statistics of 10 5 to 10 6 events particle spectra, resonances, differential flow and

  2. Using ALFA for high throughput, distributed data transmission in the ALICE O2 system

    Science.gov (United States)

    Wegrzynek, A.; ALICE Collaboration

    2017-10-01

    ALICE (A Large Ion Collider Experiment) is a heavy-ion detector designed to study the physics of strongly interacting matter (the Quark-Gluon Plasma at the CERN LHC (Large Hadron Collider). ALICE has been successfully collecting physics data in Run 2 since spring 2015. In parallel, preparations for a major upgrade of the computing system, called O2 (Online-Offline), scheduled for the Long Shutdown 2 in 2019-2020, are being made. One of the major requirements of the system is the capacity to transport data between so-called FLPs (First Level Processors), equipped with readout cards, and the EPNs (Event Processing Node), performing data aggregation, frame building and partial reconstruction. It is foreseen to have 268 FLPs dispatching data to 1500 EPNs with an average output of 20 Gb/s each. In overall, the O2 processing system will operate at terabits per second of throughput while handling millions of concurrent connections. The ALFA framework will standardize and handle software related tasks such as readout, data transport, frame building, calibration, online reconstruction and more in the upgraded computing system. ALFA supports two data transport libraries: ZeroMQ and nanomsg. This paper discusses the efficiency of ALFA in terms of high throughput data transport. The tests were performed with multiple FLPs pushing data to multiple EPNs. The transfer was done using push-pull communication patterns and two socket configurations: bind, connect. The set of benchmarks was prepared to get the most performant results on each hardware setup. The paper presents the measurement process and final results - data throughput combined with computing resources usage as a function of block size. The high number of nodes and connections in the final set up may cause race conditions that can lead to uneven load balancing and poor scalability. The performed tests allow us to validate whether the traffic is distributed evenly over all receivers. It also measures the behaviour of

  3. Development of the DAQ System of Triple-GEM Detectors for the CMS Muon Spectrometer Upgrade at LHC

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00387583

    The Gas Electron Multiplier (GEM) upgrade project aims at improving the performance of the muon spectrometer of the Compact Muon Solenoid (CMS) experiment which will suffer from the increase in luminosity of the Large Hadron Collider (LHC). After a long technical stop in 2019-2020, the LHC will restart and run at a luminosity of 2 × 1034 cm−2 s−1, twice its nominal value. This will in turn increase the rate of particles to which detectors in CMS will be exposed and affect their performance. The muon spectrometer in particular will suffer from a degraded detection efficiency due to the lack of redundancy in its most forward region. To solve this issue, the GEM collaboration proposes to instrument the first muon station with Triple-GEM detectors, a technology which has proven to be resistant to high fluxes of particles. Within the GEM collaboration, the Data Acquisition (DAQ) subgroup is in charge of the development of the electronics and software of the DAQ system of the detectors. This thesis presents th...

  4. Student Perceptions of Instructional Tools in Programming Logic: A Comparison of Traditional versus Alice Teaching Environments

    Science.gov (United States)

    Schultz, Leah

    2011-01-01

    This research investigates the implementation of the programming language Alice to teach computer programming logic to computer information systems students. Alice has been implemented in other university settings and has been reported to have many benefits including object-oriented concepts and an engaging and fun learning environment. In this…

  5. Technical design report for the upgrade of the ALICE inner tracking system

    NARCIS (Netherlands)

    Abelev, B.; Adam, J.; Adamová, D.; Aggarwal, M. M.; Aglieri Rinella, G.; Agnello, M.; Agostinelli, A.; Agrawal, N.; Ahammed, Z.; Ahmad, N.; Ahmad Masoodi, A.; Ahmed, I.; Ahn, S. U.; Ahn, S. A.; Aimo, I.; Aiola, S.; Ajaz, M.; Akindinov, A.; Aleksandrov, D.; Alessandro, B.; Alexandre, D.; Alici, A.; Alkin, A.; Alme, J.; Alt, T.; Altini, V.; Altinpinar, S.; Altsybeev, I.; Alves Garcia Prado, C.; Anderssen, E. C.; Andrei, C.; Andronic, A.; Anguelov, V.; Anielski, J.; Antičić, T.; Antinori, F.; Antonioli, P.; Aphecetche, L.; Appelshäuser, H.; Arbor, N.; Arcelli, S.; Armesto, N.; Arnaldi, R.; Aronsson, T.; Arsene, I. C.; Arslandok, M.; Augustinus, A.; Averbeck, R.; Awes, T. C.; Azmi, M. D.; Bach, M.; Badalà, A.; Baek, Y. W.; Bagnasco, S.; Bailhache, R.; Bairathi, V.; Bala, R.; Baldisseri, A.; Baltasar Dos Santos Pedrosa, F.; Bán, J.; Baral, R. C.; Barbera, R.; Barile, F.; Barnaföldi, G. G.; Barnby, L. S.; Barret, V.; Bartke, J.; Basile, M.; Bastian Van Beelen, J.; Bastid, N.; Basu, S.; Bathen, B.; Batigne, G.; Battistin, M.; Batyunya, B.; Batzing, P. C.; Baudot, J.; Baumann, C.; Bearden, I. G.; Beck, H.; Bedda, C.; Behera, N. K.; Belikov, I.; Bellini, F.; Bellwied, R.; Belmont-Moreno, E.; Bencedi, G.; Benettoni, M.; Benotto, F.; Beole, S.; Berceanu, I.; Bercuci, A.; Berdnikov, Y.; Berenyi, D.; Berger, M. E.; Bertens, R. A.|info:eu-repo/dai/nl/371577810; Berzano, D.; Besson, A.; Betev, L.; Bhasin, A.; Bhati, A. K.; Bhatti, A.; Bhattacharjee, B.; Bhom, J.; Bianchi, L.; Bianchi, N.; Bianchin, C.|info:eu-repo/dai/nl/371578248; Bielčík, J.; Bielčíková, J.; Bilandzic, A.; Bjelogrlic, S.|info:eu-repo/dai/nl/355079615; Blanco, F.; Blau, D.; Blume, C.; Bock, F.; Boehmer, F. V.; Bogdanov, A.; Bøggild, H.; Bogolyubsky, M.; Boldizsár, L.; Bombara, M.; Book, J.; Borel, H.; Borissov, A.; Bornschein, J.; Borshchov, V. N.; Bortolin, C.; Bossú, F.; Botje, M.|info:eu-repo/dai/nl/070139032; Botta, E.; Böttger, S.; Braun-Munzinger, P.; Breitner, T.; Broker, T. A.; Browning, T. A.; Broz, M.; Bruna, E.; Bruno, G. E.; Budnikov, D.; Buesching, H.; Bufalino, S.; Buncic, P.; Busch, O.; Buthelezi, Z.; Caffarri, D.; Cai, X.; Caines, H.; Caliva, A.|info:eu-repo/dai/nl/411885812; Calvo Villar, E.; Camerini, P.; Canoa Roman, V.; Carena, F.; Carena, W.; Cariola, P.; Carminati, F.; Casanova Díaz, A.; Castillo Castellanos, J.; Casula, E. A R; Catanescu, V.; Caudron, T.; Cavicchioli, C.; Ceballos Sanchez, C.; Cepila, J.; Cerello, P.; Chang, B.; Chapeland, S.; Charvet, J. L.; Chattopadhyay, S.; Chattopadhyay, S.; Cherney, M.; Cheshkov, C.; Cheynis, B.; Chibante Barroso, V.; Chinellato, D. D.; Chochula, P.; Chojnacki, M.|info:eu-repo/dai/nl/411888056; Choudhury, S.; Christakoglou, P.; Christensen, C. H.; Christiansen, P.; Chujo, T.; Chung, S. U.; Cicalo, C.; Cifarelli, L.; Cindolo, F.; Claus, G.; Cleymans, J.; Colamaria, F.; Colella, D.; Coli, S.; Colledani, C.; Collu, A.; Colocci, M.; Conesa Balbastre, G.; Conesa Del Valle, Z.; Connors, M. E.; Contin, G.; Contreras, J. G.; Cormier, T. M.; Corrales Morales, Y.; Cortese, P.; Cortés Maldonado, I.; Cosentino, M. R.; Costa, F.; Crochet, P.; Cruz Albino, R.; Cuautle, E.; Cunqueiro, L.; Dainese, A.; Dang, R.; Danu, A.; Da Riva, E.; Das, D.; Das, I.; Das, K.; Das, S.; Dash, A.; Dash, S.; De, S.; Decosse, C.; Delagrange, H.; Delo, A.; Dénes, E.; D'Erasmo, G.; De Barros, G. O V; De Caro, A.; De Cataldo, G.; De Cuveland, J.; De Falco, A.; De Gruttola, D.; De Marco, N.; De Pasquale, S.; De Robertis, G.; De Roo, K.; De Rooij, R.|info:eu-repo/dai/nl/315888644; Diaz Corchero, M. A.; Dietel, T.; Divià, R.; Di Bari, D.; Di Liberto, S.; Di Mauro, A.; Di Nezza, P.; Djuvsland, O.; Dobrin, A.|info:eu-repo/dai/nl/372618715; Dobrowolski, T.; Domenicis Gimenez, D.; Dönigus, B.; Dordic, O.; Dorheim, S.; Dorokhov, A.; Doziere, G.; Dubey, A. K.; Dubla, A.|info:eu-repo/dai/nl/355502488; Ducroux, L.; Dulinski, W.; Dupieux, P.; Dutta Majumdar, A. K.; Ehlers, R. J.; Elia, D.; Engel, H.; Erazmus, B.; Erdal, H. A.; Eschweiler, D.; Espagnon, B.; Estienne, M.; Esumi, S.; Evans, D.; Evdokimov, S.; Eyyubova, G.; Fabris, D.; Faivre, J.; Falchieri, D.; Fantoni, A.; Fasel, M.; Fehlker, D.; Feldkamp, L.; Felea, D.; Feliciello, A.; Feofilov, G.; Ferencei, J.; Fernández Téllez, A.; Ferreiro, E. G.; Ferretti, A.; Festanti, A.; Figiel, J.; Figueredo, M. A S; Filchagin, S.; Finogeev, D.; Fionda, F. M.; Fiore, E. M.; Fiorenza, G.; Floratos, E.; Floris, M.; Foertsch, S.; Foka, P.; Fokin, S.; Fragiacomo, E.; Francescon, A.; Franco, M.; Frankenfeld, U.; Fuchs, U.; Furget, C.; Fusco Girard, M.; Gaardhøje, J. J.; Gagliardi, M.; Gajanana, D.; Gallio, M.; Gangadharan, D. R.; Ganoti, P.; Garabatos, C.; Garcia-Solis, E.; Gargiulo, C.; Garishvili, I.; Gerhard, J.; Germain, M.; Gheata, A.; Gheata, M.; Ghidini, B.; Ghosh, P.; Ghosh, S. K.; Gianotti, P.; Giubilato, P.; Giubellino, P.; Gladysz-Dziadus, E.; Glässel, P.; Gomez, R.; Gomez Marzoa, M.; González-Zamora, P.; Gorbunov, S.; Görlich, L.; Gotovac, S.; Graczykowski, L. K.; Grajcarek, R.; Greiner, L. C.; Grelli, A.|info:eu-repo/dai/nl/326052577; Grigoras, A.; Grigoras, C.; Grigoriev, V.; Grigoryan, A.; Grigoryan, S.; Grinyov, B.; Grion, N.; Grondin, D.; Grosse-Oetringhaus, J. F.; Grossiord, J. Y.; Grosso, R.; Guber, F.; Guernane, R.; Guerzoni, B.; Guilbaud, M.; Gulbrandsen, K.; Gulkanyan, H.; Gunji, T.; Gupta, A.; Gupta, R.; Khan, K. H.; Haake, R.; Haaland, I.M.; Hadjidakis, C.; Haiduc, M.; Hamagaki, H.; Hamar, G.; Hanratty, L. D.; Hansen, A.; Harris, J. W.; Hartmann, H.; Harton, A.; Hatzifotiadou, D.; Hayashi, S.; Heckel, S. T.; Heide, M.; Helstrup, H.; Hennes, E.; Herghelegiu, A.; Herrera Corral, G.; Hess, B. A.; Hetland, K. F.; Hicks, B.; Hillemanns, H.; Himmi, A.; Hippolyte, B.; Hladky, J.; Hristov, P.; Huang, M.; Hu-Guo, C.; Humanic, T. J.; Hutter, D.; Hwang, D. S.; Igolkin, S.; Ijzermans, P.; Ilkaev, R.; Ilkiv, I.; Inaba, M.; Incani, E.; Innocenti, G. M.; Ionita, C.; Ippolitov, M.; Irfan, M.; Ivanov, M.; Ivanov, V.; Ivanytskyi, O.; Jacho lkowski, A.; Jadlovsky, J.; Jahnke, C.; Jang, H. J.; Janik, M. A.; Jayarathna, P. H S Y; Jena, S.; Jimenez Bustamante, R. T.; Jones, P. G.; Jung, H.; Junique, A.; Jusko, A.; Kalcher, S.; Kalinak, P.; Kalweit, A.; Kamin, J.; Kang, J. H.; Kaplin, V.; Kar, S.; Karasu Uysal, A.; Karavichev, O.; Karavicheva, T.; Karpechev, E.; Kebschull, U.; Keidel, R.; Keil, M.; Ketzer, B.; Khan, M. Mohisin; Khan, P.; Khan, S. A.; Khanzadeev, A.; Kharlov, Y.; Kileng, B.; Kim, B.; Kim, D.; Kim, D. W.; Kim, D. J.; Kim, J. S.; Kim, M.; Kim, M.; Kim, S.; Kim, T.; Kirsch, S.; Kisel, I.; Kiselev, S.; Kisiel, A.; Kiss, G.; Klay, J. L.; Klein, J.; Klein-Bösing, C.; Kluge, A.; Knichel, M. L.; Knospe, A. G.; Kobdaj, C.; Kofarago, M.; Köhler, M. K.; Kollegger, T.; Kolojvari, A.; Kondratiev, V.; Kondratyeva, N.; Konevskikh, A.; Kovalenko, V.; Kowalski, M.; Kox, S.; Koyithatta Meethaleveedu, G.; Kral, J.; Králik, I.; Kramer, F.; Kravčáková, A.; Krelina, M.; Kretz, M.; Krivda, M.; Krizek, F.; Krus, M.; Krymov, E. B.; Kryshen, E.; Krzewicki, M.|info:eu-repo/dai/nl/362845670; Kučera, V.; Kucheriaev, Y.; Kugathasan, T.; Kuhn, C.; Kuijer, P. G.|info:eu-repo/dai/nl/074064975; Kulakov, I.; Kumar, J.; Kurashvili, P.; Kurepin, A.; Kurepin, A. B.; Kuryakin, A.; Kushpil, S.; Kushpil, V.; Kweon, M. J.; Kwon, Y.; Ladron De Guevara, P.; Lagana Fernandes, C.; Lakomov, I.; Langoy, R.; Lara, C.; Lardeux, A.; Lattuca, A.; La Pointe, S. L.|info:eu-repo/dai/nl/355080192; La Rocca, P.; Lea, R.; Lee, G. R.; Legrand, I.; Lehnert, J.; Lemmon, R. C.; Lenhardt, M.; Lenti, V.; Leogrande, E.; Leoncino, M.; León Monzón, I.; Lesenechal, Y.; Lévai, P.; Li, S.; Lien, J.; Lietava, R.; Lindal, S.; Lindenstruth, V.; Lippmann, C.; Lisa, M. A.; Listratenko, O. M.; Ljunggren, H. M.; Lodato, D. F.; Loddo, F.; Loenne, P. I.; Loggins, V. R.; Loginov, V.; Lohner, D.; Loizides, C.; Lopez, X.; López Torres, E.; Lu, X. G.; Luettig, P.; Lunardon, M.; Luo, J.; Luparello, G.|info:eu-repo/dai/nl/355080400; Luzzi, C.; M. Gago, A.; M. Jacobs, P.; Ma, R.; Maevskaya, A.; Mager, M.; Mahapatra, D. P.; Maire, A.; Malaev, M.; Maldonado Cervantes, I.; Malinina, L.; Mal'Kevich, D.; Maltsev, N. A.; Malzacher, P.; Mamonov, A.; Manceau, L.; Manko, V.; Manso, F.; Manzari, V.; Mapelli, A.; Marchisone, M.; Mareš, J.; Margagliotti, G. V.; Margotti, A.; Marín, A.; Marin Tobon, C. A.; Markert, C.; Marquard, M.; Marras, D.; Martashvili, I.; Martin, N. A.; Martinengo, P.; Martínez, M. I.; Martínez García, G.; Martin Blanco, J.; Martynov, Y.; Mas, A.; Masciocchi, S.; Masera, M.; Maslov, M.; Masoni, A.; Massacrier, L.; Mastroserio, A.; Mattiazzo, S.; Matyja, A.; Mayer, C.; Mazer, J.; Mazumder, R.; Mazza, G.; Mazzoni, M. A.; Meddi, F.; Menchaca-Rocha, A.; Mercado Pérez, J.; Meres, M.; Miake, Y.; Mikhaylov, K.; Milano, L.; Milosevic, J.; Mischke, A.|info:eu-repo/dai/nl/325781435; Mishra, A. N.; Miśkowiec, D.; Mitu, C. M.; Mlynarz, J.; Mohanty, B.; Molnar, L.; Mongelli, M.; Montaño Zetina, L.; Montes, E.; Morando, M.; Moreira De Godoy, D. A.; Morel, F.; Moretto, S.; Morreale, A.; Morsch, A.; Muccifora, V.; Mudnic, E.; Muhammad Bhopal, F.; Muhuri, S.; Mukherjee, M.; Müller, H.; Munhoz, M. G.; Murray, S.; Musa, L.; Musinsky, J.; Nandi, B. K.; Nania, R.; Nappi, E.; Nattrass, C.; Nayak, T. K.; Nazarenko, S.; Nedosekin, A.; Nicassio, M.; Niculescu, M.; Nielsen, B. S.; Nikolaev, S.; Nikulin, S.; Nikulin, V.; Nilsen, B. S.; Noferini, F.; Nomokonov, P.; Nooren, G.|info:eu-repo/dai/nl/07051349X; Nyanin, A.; Nystrand, J.; Oeschler, H.; Oh, S.; Oh, S. K.; Okatan, A.; Olah, L.; Oleniacz, J.; Oliveira Da Silva, A. C.|info:eu-repo/dai/nl/323375618; Onderwaater, J.; Oppedisano, C.; Ortiz Velasquez, A.; Oskarsson, A.; Otwinowski, J.; Oyama, K.; Pachmayer, Y.; Pachr, M.; Pagano, P.; Paić, G.; Painke, F.; Pajares, C.; Pal, S. K.; Palmeri, A.; Panati, S.; Pant, D.; Pantano, D.; Papikyan, V.; Pappalardo, G. S.; Park, W. J.; Passfeld, A.; Pastore, C.; Patalakha, D. I.; Paticchio, V.; Paul, B.; Pawlak, T.; Peitzmann, T.|info:eu-repo/dai/nl/304833959; Pereira Da Costa, H.; Pereira De Oliveira Filho, E.; Peresunko, D.; Pérez Lara, C. E.; Peryt, W.; Pesci, A.; Pestov, Y.; Petagna, P.; Petráček, V.; Petran, M.; Petris, M.; Petrovici, M.; Petta, C.; Pham, H.; Piano, S.; Pikna, M.; Pillot, P.; Pinazza, O.; Pinsky, L.; Piyarathna, D. B.; Poskoń, M.; Planinic, M.; Pluta, J.; Pochybova, S.; Podesta-Lerma, P. L M; Poghosyan, M. G.; Pohjoisaho, E. H O; Polichtchouk, B.; Poljak, N.; Pop, A.; Porteboeuf-Houssais, S.; Porter, J.; Pospisil, V.; Potukuchi, B.; Prasad, S. K.; Preghenella, R.; Prino, F.; Protsenko, M. A.; Pruneau, C. A.; Pshenichnov, I.; Puddu, G.; Puggioni, C.; Punin, V.; Putschke, J.; Qvigstad, H.; Rachevski, A.; Raha, S.; Rak, J.; Rakotozafindrabe, A.; Ramello, L.; Raniwala, R.; Raniwala, S.; Räsänen, S. S.; Rascanu, B. T.; Rasson, J. E.; Rathee, D.; Rauf, A. W.; Razazi, V.; Read, K. F.; Real, J. S.; Redlich, K.; Reed, R. J.; Rehman, A.; Reichelt, P.; Reicher, M.|info:eu-repo/dai/nl/32823219X; Reidt, F.; Renfordt, R.; Reolon, A. R.; Reshetin, A.; Rettig, F.; Revol, J. P.; Reygers, K.; Riabov, V.; Ricci, R. A.; Richert, T.; Richter, M.; Riedler, P.; Riegler, W.; Riggi, F.; Rivetti, A.; Rocco, E.; Rodríguez Cahuantzi, M.; Rodriguez Manso, A.; Røed, K.; Rogochaya, E.; Rohni, S.; Rohr, D.; Röhrich, D.; Romita, R.; Ronchetti, F.; Ronette, L.; Rosnet, P.; Rossegger, S.; Rossewij, M. J.; Rossi, A.; Roudier, S.; Rousset, J.; Roy, A.; Roy, C.; Roy, P.; Rubio Montero, A. J.; Rui, R.; Russo, R.; Ryabinkin, E.; Ryabov, Y.; Rybicki, A.; Sacchetti, M.; Sadovsky, S.; Šafařík, K.; Sahlmuller, B.; Sahoo, R.; Sahu, P. K.; Saini, J.; Salgado, C. A.; Salzwedel, J.; Sambyal, S.; Samsonov, V.; Sanchez Castro, X.; Sánchez Rodríguez, F. J.; Šándor, L.; Sandoval, A.; Sano, M.; Santagati, G.; Santoro, R.; Sarkar, D.; Scapparone, E.; Scarlassara, F.; Scharenberg, R. P.; Schiaua, C.; Schicker, R.; Schipper, J. D.; Schmidt, C.; Schmidt, H. R.; Schuchmann, S.; Schukraft, J.; Schulc, M.; Schuster, T.; Schutz, Y.; Schwarz, K.; Schweda, K.; Scioli, G.; Scomparin, E.; Scott, P. A.; Scott, R.; Segato, G.; Seger, J. E.; Selyuzhenkov, I.; Senyukhov, S.; Seo, J.; Serradilla, E.; Sevcenco, A.; Sgura, I.; Shabetai, A.; Shabratova, G.; Shahoyan, R.; Shangaraev, A.; Sharma, N.; Sharma, S.; Shigaki, K.; Shtejer, K.; Sibiriak, Y.; Siddhanta, S.; Siemiarczuk, T.; Silvermyr, D.; Silvestre, C.; Simatovic, G.; Singaraju, R.; Singh, R.; Singha, S.; Singhal, V.; Sinha, B. C.; Sinha, T.; Sitar, B.; Sitta, M.; Skaali, T. B.; Skjerdal, K.; Smakal, R.; Smirnov, N.; Snellings, R. J M|info:eu-repo/dai/nl/165585781; Snoeys, W.; Søgaard, C.; Soltz, R.; Song, J.; Song, M.; Sooden, V.; Soramel, F.; Sorensen, S.; Spacek, M.; Špalek, J.; Spiriti, E.; Sputowska, I.; Spyropoulou-Stassinaki, M.; Srivastava, B. K.; Stachel, J.; Stan, I.; Stefanek, G.; Steinpreis, M.; Stenlund, E.; Steyn, G.; Stiller, J. H.; Stocco, D.; Stolpovskiy, M.; Strmen, P.; Suaide, A. A P; Subieta Vasquez, M. A.; Sugitate, T.; Suire, C.; Suleymanov, M.; Šuljić, M.; Sultanov, R.; Šumbera, M.; Sun, X.; Susa, T.; Symons, T. J M; Szanto De Toledo, A.; Szarka, I.; Szczepankiewicz, A.; Szymanski, M.; Takahashi, J.; Tangaro, M. A.; Tapia Takaki, J. D.; Tarantola Peloni, A.; Tarazona Martinez, A.; Tauro, A.; Tejeda Muñoz, G.; Telesca, A.; Terrevoli, C.; Ter Minasyan, A.; Thäder, J.; Thomas, D.; Tieulent, R.; Timmins, A. R.; Toia, A.; Torii, H.; Trubnikov, V.; Trzaska, W. H.; Tsuji, T.; Tumkin, A.; Turchetta, R.; Turrisi, R.; Tveter, T. S.; Tymchuk, I. T.; Ulery, J.; Ullaland, K.; Uras, A.; Usai, G. L.; Vajzer, M.; Vala, M.; Valencia Palomo, L.; Valentino, V.; Valin, I.; Vallero, S.; Vande Vyvre, P.; Vannucci, L.; Van Der Maarel, J.|info:eu-repo/dai/nl/412860996; Van Hoorne, J. W.; Van Leeuwen, M.; Vargas, A.; Varma, R.; Vasileiou, M.; Vasiliev, A.; Vasta, P.; Vechernin, V.; Veldhoen, M.; Velure, A.; Venaruzzo, M.; Vercellin, E.; Vergara Limón, S.; Verlaat, B.; Vernet, R.; Verweij, M.; Vickovic, L.; Viesti, G.; Viinikainen, J.; Vilakazi, Z.; Villalobos Baillie, O.; Vinogradov, A.; Vinogradov, L.; Vinogradov, Y.; Virgili, T.; Viyogi, Y. P.; Vodopyanov, A.; Völkl, M. A.; Voloshin, K.; Voloshin, S. A.; Volpe, G.; Von Haller, B.; Vorobyev, I.; Vranic, D.; Vrláková, J.; Vulpescu, B.; Vyushin, A.; Wagner, B.; Wagner, J.; Wagner, V.; Wang, M.; Wang, Y.; Watanabe, D.; Weber, M.; Wessels, J. P.; Westerho, U.; Wiechula, J.; Wikne, J.; Wilde, M.; Wilk, G.; Wilkinson, J.; Williams, M. C S; Windelband, B.; Winn, M.; Winter, M.; Xiang, C.; Yaldo, C. G.; Yamaguchi, Y.; Yang, H.; Yang, P.; Yang, S.; Yano, S.; Yasnopolskiy, S.; Yi, J.; Yin, Z.; Yoo, I. K.; Yushmanov, I.; Zaccolo, V.; Zach, C.; Zaman, A.; Zampolli, C.; Zaporozhets, S.; Zarochentsev, A.; Závada, P.; Zaviyalov, N.; Zbroszczyk, H.; Zgura, I. S.; Zhalov, M.; Zhang, F.; Zhang, H.; Zhang, X.; Zhang, Y.|info:eu-repo/dai/nl/352841931; Zhao, C.; Zherebchevsky, V. I.; Zhou, D.; Zhou, F.; Zhou, Y.; Zhu, H.; Zhu, J.; Zhu, J.; Zhu, X.; Zichichi, A.; Zimmermann, A.; Zimmermann, M. B.; Zinovjev, G.; Zoccarato, Y.; Zynovyev, M.; Zyzak, M.

    2014-01-01

    ALICE (A Large Ion Collider Experiment) is studying the physics of strongly interacting matter, and in particular the properties of the Quark-Gluon Plasma (QGP), using proton-proton, proton-nucleus and nucleus-nucleus collisions at the CERN LHC (Large Hadron Collider). The ALICE Collaboration is

  6. Alignment of the ALICE Inner Tracking System with cosmic-ray tracks

    NARCIS (Netherlands)

    Aamodt, K.; Chojnacki, M.; Christakoglou, P.; de Haas, A.P.; de Rooij, R. S.; Grelli, A.|info:eu-repo/dai/nl/326052577; Ivan, C.G.|info:eu-repo/dai/nl/304847747; Kamermans, R.|info:eu-repo/dai/nl/073698733; Mischke, A.|info:eu-repo/dai/nl/325781435; Nooren, G.J.L.|info:eu-repo/dai/nl/07051349X; Oskamp, C.J.; Peitzmann, T.|info:eu-repo/dai/nl/304833959; Simili, E.; van den Brink, A.; van Leeuwen, M.|info:eu-repo/dai/nl/250599171; Verweij, M.|info:eu-repo/dai/nl/330542133

    2010-01-01

    ALICE (A Large Ion Collider Experiment) is the LHC (Large Hadron Collider) experiment devoted to investigating the strongly interacting matter created in nucleus-nucleus collisions at the LHC energies. The ALICE ITS, Inner Tracking System, consists of six cylindrical layers of silicon detectors with

  7. Open charm analysis with the ALICE detector in pp collisions at LHC

    NARCIS (Netherlands)

    Ivan, C.G.|info:eu-repo/dai/nl/304847747

    2009-01-01

    The upcoming ALICE experiment, at the Large Hadron Collider located at CERN, is designed to investigate the physics of strongly interacting matter at very high energy densities. In this thesis we present an analysis strategy for the feasibility of reconstructing open charm mesons with ALICE via the

  8. Prototype of the ALICE Time Projection Chamber (TPC) Field-Cage

    CERN Multimedia

    2003-01-01

    The ALICE Time Projection Chamber (TPC) is the main particle tracking detector in ALICE. Charged particles crossing the gas of the TPC knock electons out of their atoms, which then drift in in the electric field. By measuring the arrival of electrons at the end of the chamber, the TPC will reconstruct the paths of the original charged particles.

  9. "Alice imedemaal" reaalsust tõsiselt ei võta / Margit Tõnson

    Index Scriptorium Estoniae

    Tõnson, Margit, 1978-

    2004-01-01

    7. veebr. esietendus Vanemuises tantsulavastus "Alice imedemaal". Etendus põhineb briti kirjaniku L. Carrolli samanimelisel lasteraamatul, koreograaf M. Murdmaa, kunstnik K. Jancis ja muusika on kirjutanud ungari helilooja S. Kall̤s, Alice'i osa tantsib korealanna Hye Min Kim

  10. Kaspar Jancis kujundas "Alice'i" arvuti abil / Kaspar Jancis ; interv. Raimu Hanson

    Index Scriptorium Estoniae

    Jancis, Kaspar

    2004-01-01

    7. veebr. esietendub Vanemuises tantsulavastus "Alice imedemaal". Etendus põhineb briti kirjaniku L. Carrolli samanimelisel lasteraamatul, koreograaf M. Murdmaa, kunstnik K. Jancis ja muusika on kirjutanud ungari helilooja S. Kall̤s, Alice'i osa tantsib korealanna Hye Min Kim

  11. ALICE TPC gas system is the first of the LHC experiments to be put on line

    CERN Document Server

    Maximilien Brice

    2006-01-01

    Picture 01 : the Physics Department's DT1 gas systems team in their laboratory. Picture 02 : Chilo Garabatos (ALICE) and Stefan Haider (PH-DT1-GS) in front of the gas system for the ALICE TPC which has just been put on line.

  12. Compression of TPC data in the ALICE experiment

    International Nuclear Information System (INIS)

    Nicolaucig, A.; Mattavelli, M.; Carrato, S.

    2002-01-01

    In this paper two algorithms for the compression of the data generated by the Time Projection Chamber (TPC) detector of the ALICE experiment at CERN are described. The first algorithm is based on a lossless source code modeling technique, i.e. the original TPC signal information can be reconstructed without errors at the decompression stage. The source model exploits the temporal correlation that is present in the TPC data to reduce the entropy of the source. The second algorithm is based on a source model which is lossy if samples of the TPC signal are considered one by one. Conversely, the source model is lossless or quasi-lossless if some physical quantities that are of main interest for the experiment are considered. These quantities are the area and the location of the center of mass of each TPC signal pulse. Obviously entropy coding is applied to the set of events defined by the two source models to reduce the bit rate to the corresponding source entropy. Using TPC simulated data according to the expected ALICE TPC performance, the lossless and the lossy compression algorithms achieve a data reduction, respectively, to 49.2% and in the range of 34.2% down to 23.7% of the original data rate. The number of operations per input symbol required to implement the compression stage for both algorithms is relatively low, so that a real-time implementation embedded in the TPC data acquisition chain using low-cost integrated electronics is a realistic option to effectively reduce the data storing cost of ALICE experiment

  13. Performance of prototypes for the ALICE electromagnetic calorimeter

    International Nuclear Information System (INIS)

    Allen, J.; Awes, T.; Badala, A.; Baumgart, S.; Bellwied, R.; Benhabib, L.; Bernard, C.; Bianchi, N.; Blanco, F.; Bortoli, Y.; Bourdaud, G.; Bourrion, O.; Boyer, B.; Bruna, E.; Butterworth, J.; Caines, H.; Calvo Diaz Aldagalan, D.; Capitani, G.P.; Carcagno, Y.; Casanova Diaz, A.

    2010-01-01

    The performance of prototypes for the ALICE electromagnetic sampling calorimeter has been studied in test beam measurements at FNAL and CERN. A 4x4 array of final design modules showed an energy resolution of about 11%/√(E(GeV))+1.7% with a uniformity of the response to electrons of 1% and a good linearity in the energy range from 10 to 100 GeV. The electromagnetic shower position resolution was found to be described by 1.5mm+5.3mm/√(E(GeV)). For an electron identification efficiency of 90% a hadron rejection factor of >600 was obtained.

  14. Alice Kask : Maalid ja joonistused = Paintings and drawings / Anu Allas

    Index Scriptorium Estoniae

    Allas, Anu, 1977-

    2007-01-01

    Maalikunstnik Alice Kase loomingust, mis on pälvinud usalduse tänu oma suveräänsusele, süvenemisele ja tõsidusele. Tema tööde jõud seisneb teose ja füüsilise objekti lahutamatuses, iga nüanss maali pinnal sünnib kuju võtnud materjalist enesest. Tema maalid on väga avatud, kohati isegi ohtlikult avatud kõikvõimalikele tõlgendusviisidele, neis on tasakaalustatud segu ilust, täiuselubadusest, hirmutavusest ning kaosest

  15. Measurements of quarkonia with the central detectors of ALICE

    International Nuclear Information System (INIS)

    Sommer, Wolfgang

    2008-01-01

    The production of quarkonia, the bound state of an heavy quark with its anti-particle, has for a long time been seen as a key process to understand the properties of nuclear matter in a relativistic heavy-ion collision. This thesis presents studies on the production of quarkonia in heavy-ion collisions at the new Large Hadron collider (LHC). The focus is set on the decay of J/Psi and Upsilon-states into their di-electronic decay channel, measured within the central detectors of the ALICE detector. (orig.)

  16. Measurements of quarkonia with the central detectors of ALICE

    Energy Technology Data Exchange (ETDEWEB)

    Sommer, Wolfgang

    2008-03-26

    The production of quarkonia, the bound state of an heavy quark with its anti-particle, has for a long time been seen as a key process to understand the properties of nuclear matter in a relativistic heavy-ion collision. This thesis presents studies on the production of quarkonia in heavy-ion collisions at the new Large Hadron collider (LHC). The focus is set on the decay of J/Psi and Upsilon-states into their di-electronic decay channel, measured within the central detectors of the ALICE detector. (orig.)

  17. A study of Double Pomeron Exchange in ALICE

    CERN Document Server

    Kirk, A.

    1998-01-01

    The non-Abelian nature of QCD suggests that particles that have a gluon constituent, such as glueballs or hybrids, should exist. Experiments WA76, WA91 and WA102 have performed a dedicated search for these states in central production using the CERN Omega Spectrometer. New results from central production show that there is a kinematical filter which can select out glueball candidates from known qqbar states. A further study of this at high energies is essential in order to get information on the M(X0) > 2 GeV region. This paper describes how this could be done using the the ALICE detector at the LHC.

  18. High level trigger system for the ALICE experiment

    International Nuclear Information System (INIS)

    Frankenfeld, U.; Roehrich, D.; Ullaland, K.; Vestabo, A.; Helstrup, H.; Lien, J.; Lindenstruth, V.; Schulz, M.; Steinbeck, T.; Wiebalck, A.; Skaali, B.

    2001-01-01

    The ALICE experiment at the Large Hadron Collider (LHC) at CERN will detect up to 20,000 particles in a single Pb-Pb event resulting in a data rate of ∼75 MByte/event. The event rate is limited by the bandwidth of the data storage system. Higher rates are possible by selecting interesting events and subevents (High Level trigger) or compressing the data efficiently with modeling techniques. Both require a fast parallel pattern recognition. One possible solution to process the detector data at such rates is a farm of clustered SMP nodes, based on off-the-shelf PCs, and connected by a high bandwidth, low latency network

  19. First p-Pb results from the ALICE experiment

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    We present the first results from proton-lead collisions at sqrt(s_NN)=5.02 TeV obtained by the ALICE experiment at the CERN LHC. They are based on the data obtained during the pilot p-Pb run in September 2012. The measurements include the pseudorapidity density, transverse momentum distribution and the nuclear modification factor of unidentified charged particles. Our results will be compared to previous p-p, A-A and d-A experimental results and to the available theoretical model predictions. Prospects for the long p-Pb run at the beginning of 2013 will be given.

  20. The KFParticle package for the fast particle reconstruction in ALICE and CBM

    Energy Technology Data Exchange (ETDEWEB)

    Zyzak, Maksym; Kisel, Ivan; Kulakov, Igor [Goethe Univ. Frankfurt am Main (Germany); Frankfurt Institute for Advanced Studies, Frankfurt am Main (Germany); GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, Darmstadt (Germany); Vassiliev, Iourii [Goethe Univ. Frankfurt am Main (Germany); GSI Helmholtzzentrum fuer Schwerionenforschung GmbH, Darmstadt (Germany); Collaboration: CBM-Collaboration

    2013-07-01

    Modern heavy-ion experiments operate with very high data rates and track multiplicities collecting petabytes of data, therefore the speed of the reconstruction algorithms is crucial both for the online and offline data analysis. The KFParticle package for short-lived particles reconstruction has been developed and is actively used both in the CBM and ALICE experiments. The package is based on the Kalman filter mathematics and has rich functionality. It is geometry independent and can be used in other experiments too. Almost all modern servers are equipped with many or multi-core processors, which contain SIMD modules. The KFParticle has been SIMDized, which gives the additional speedup factor of 3-5. KFParticle allows to reconstruct about 50 decay channels achieving speed of 1.5 ms per Au+Au mbias collisions at 25 AGeV on a single core. The package has been parallelized between cores and shows strong linear scalability on servers with up to 80 logical cores.

  1. L0/L1 trigger generation by the ALICE PHOS detector

    CERN Document Server

    Lijiao, Liu

    Quark-Gluon Plasma (QGP) is a phase that exists above a critical temperature and corresponding energy density according to the theory of Quantum Chromo-Dynamics (QCD). The studies of the QGP help us to understand the early evolution of our universe and the Standard Model. A large Ion Collider Experiment (ALICE) aims to study the properties of the QGP. A QGP can not be observed directly because it is a short lived state. Signatures such as jet quenching, flow pattern and high pT suppression indicate the existence of a QGP. Various sub-detectors are designed for detecting these signatures. The PHOton Spectrometer (PHOS), one of the sub-detectors, is a high-resolution electromagnetic calorimeter dedicated to the precise measurement of direct photon and neutral meson yields in a pT range up to 100 GeV/c. Four online systems are developed to monitor, control and read out the different subdetectors. The trigger system is one of them. The task of the trigger system is to select events of interest and to reduce the o...

  2. Despina Hatzifotiadou: ALICE Master Class 1 - Theory: strange particles, V0 decays, invariant mass

    CERN Multimedia

    CERN. Geneva

    2016-01-01

    This is the 1st of 4 short online videos. It contains an introduction to the first part of the exercise : what are strange particles, V0 decays, invariant mass. More details and related links on this indico event page. In more detail: What is Physics Master Classes Students after morning lectures, run programmes in the afternoon to do measurements. These tutorials are about how to use the software required to do these measurements. Background info and examples  Looking for strange particles with ALICE http://aliceinfo.cern.ch/Public/MasterCL/MasterClassWebpage.html Introduction to first part of the exercise : what are strange particles, V0 decays, invariant mass. Demonstration of the software for the 1st part of the exercise - visual identification of V0s Introduction to second part of the exercise : strangeness enhancement; centrality of lead-lead collisions; explanation of efficiency, yield, background etc Demonstration of the software for the 2nd part of the exercise - invariant mass spec...

  3. The new ALICE DQM client: a web access to ROOT-based objects

    International Nuclear Information System (INIS)

    Von Haller, B; Carena, F; Carena, W; Chapeland, S; Barroso, V Chibante; Costa, F; Delort, C; Diviá, R.; Fuchs, U; Niedziela, J; Simonetti, G; Soós, C; Telesca, A; Vyvre, P Vande; Wegrzynek, A; Dénes, E

    2015-01-01

    A Large Ion Collider Experiment (ALICE) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online Data Quality Monitoring (DQM) plays an essential role in the experiment operation by providing shifters with immediate feedback on the data being recorded in order to quickly identify and overcome problems.An immediate access to the DQM results is needed not only by shifters in the control room but also by detector experts worldwide. As a consequence, a new web application has been developed to dynamically display and manipulate the ROOT-based objects produced by the DQM system in a flexible and user friendly interface.The architecture and design of the tool, its main features and the technologies that were used, both on the server and the client side, are described. In particular, we detail how we took advantage of the most recent ROOT JavaScript I/O and web server library to give interactive access to ROOT objects stored in a database. We describe as well the use of modern web techniques and packages such as AJAX, DHTMLX and jQuery, which has been instrumental in the successful implementation of a reactive and efficient application.We finally present the resulting application and how code quality was ensured. We conclude with a roadmap for future technical and functional developments. (paper)

  4. The ALICE Transition Radiation Detector: status and perspectives for Run II

    CERN Document Server

    Klein, Jochen

    2016-01-01

    The ALICE Transition Radiation Detector contributes to the tracking, particle identification, and triggering capabilities of the experiment. It is composed of six layers of multi-wire proportional chambers, each of which is preceded by a radiator and a Xe/CO$_2$-filled drift volume. The signal is sampled in timebins of 100~ns over the drift length which allows for the reconstruction of chamber-wise track segments, both online and offline. The particle identification is based on the specific energy loss of charged particles and additional transition radiation photons, the latter being a signature for electrons. The detector is segmented into 18 sectors, of which 13 were installed in Run I. The TRD was included in data taking since the LHC start-up and was successfully used for electron identification and triggering. During the Long Shutdown 1, the detector was completed and now covers the full azimuthal acceptance. Furthermore, the readout and trigger components were upgraded. When data taking was started for ...

  5. Lossy compression of TPC data and trajectory tracking efficiency for the ALICE experiment

    CERN Document Server

    Nicolaucig, A; Mattavelli, M

    2003-01-01

    In this paper a quasi-lossless algorithm for the on-line compression of the data generated by the Time Projection Chamber (TPC) detector of the ALICE experiment at CERN is described. The algorithm is based on a lossy source code modeling technique, i.e. it is based on a source model which is lossy if samples of the TPC signal are considered one by one; conversely, the source model is lossless or quasi-lossless if some physical quantities that are of main interest for the experiment are considered. These quantities are the area and the location of the center of mass of each TPC signal pulse, representing the pulse charge and the time localization of the pulse. So as to evaluate the consequences of the error introduced by the lossy compression process, the results of the trajectory tracking algorithms that process data off-line after the experiment are analyzed, in particular, versus their sensibility to the noise introduced by the compression. Two different versions of these off- line algorithms are described,...

  6. Online Resources

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Genetics; Online Resources. Journal of Genetics. Online Resources. Volume 97. 2018 | Online resources. Volume 96. 2017 | Online resources. Volume 95. 2016 | Online resources. Volume 94. 2015 | Online resources. Volume 93. 2014 | Online resources. Volume 92. 2013 | Online resources ...

  7. The readout system for the ALICE zero degree calorimeters

    CERN Document Server

    Siddhanta, S; De Falco, A; Floris, M; Masoni, A; Puddu, G; Serci, S; Uras, A; Usai, G; Arnaldi, R; Bianchi, L; Bossu, F; Chiavassa, E; De Marco, N; Ferretti, A; Gagliardi, M; Gallio, M; Luparello, G; Musso, A; Oppedisano, C; Piccotti, A; Scomparin, E; Vercellin, E; Cortese, P; Dellacasa, G

    2011-01-01

    ALICE at the CERN LHC will investigate the physics of strongly interacting matter at extreme energy densities where the formation of the Quark Gluon Plasma is expected. Its properties can be studied from observations like the production of mesons w ith charm and beauty quarks. These signals have to be studied as a function of energy density, which is determined by the centrality of collisions. One of the physics observables that is closely related with the centrality of the collision is the number o f spectator nucleons that can be measured by the Zero Degree Calorimeters (ZDC). Having a direct geometric interpretation allows to extract the impact parameter with minimal model assumptions. This paper describes the readout system of the ZDC. The ZDC re adout consists of a VME system with a ZDC Readout Card, a VME Processor, Discriminators, a ZDC Trigger Card, scalers, QDCs and TDCs. The system was successfully tested during the 2009 ALICE data taking and is currently operational at the LHC.

  8. The new Inner Tracking System of the ALICE experiment

    Science.gov (United States)

    Martinengo, P.; Alice Collaboration

    2017-11-01

    The ALICE experiment will undergo a major upgrade during the next LHC Long Shutdown scheduled in 2019-20 that will enable a detailed study of the properties of the QGP, exploiting the increased Pb-Pb luminosity expected during Run 3 and Run 4. The replacement of the existing Inner Tracking System with a completely new ultra-light, high-resolution detector is one of the cornerstones within this upgrade program. The main motivation of the ITS upgrade is to provide ALICE with an improved tracking capability and impact parameter resolution at very low transverse momentum, as well as to enable a substantial increase of the readout rate. The new ITS will consist of seven layers of innovative Monolithic Active Pixel Sensors with the innermost layer sitting at only 23 mm from the interaction point. This talk will focus on the design and the physics performance of the new ITS, as well as the technology choices adopted. The status of the project and the results from the prototypes characterization will also be presented.

  9. Intrusion Prevention and Detection in Grid Computing - The ALICE Case

    Science.gov (United States)

    Gomez, Andres; Lara, Camilo; Kebschull, Udo

    2015-12-01

    Grids allow users flexible on-demand usage of computing resources through remote communication networks. A remarkable example of a Grid in High Energy Physics (HEP) research is used in the ALICE experiment at European Organization for Nuclear Research CERN. Physicists can submit jobs used to process the huge amount of particle collision data produced by the Large Hadron Collider (LHC). Grids face complex security challenges. They are interesting targets for attackers seeking for huge computational resources. Since users can execute arbitrary code in the worker nodes on the Grid sites, special care should be put in this environment. Automatic tools to harden and monitor this scenario are required. Currently, there is no integrated solution for such requirement. This paper describes a new security framework to allow execution of job payloads in a sandboxed context. It also allows process behavior monitoring to detect intrusions, even when new attack methods or zero day vulnerabilities are exploited, by a Machine Learning approach. We plan to implement the proposed framework as a software prototype that will be tested as a component of the ALICE Grid middleware.

  10. ALICE makes a clean sweep at Point 2

    CERN Document Server

    2001-01-01

    Since the middle of June the ALICE collaboration has taken up residence at Point 2, previously occupied by L3, and is now preparing the cavern for the arrival of its detector. The last muon chambers of the L3 experiment were removed at the beginning of July. Anyone who knew L3 when it was in operation will be in for a shock if they go down to the cavern at Point 2, which looks as if it's been emptied of all its contents. The members of the ALICE collaboration would not quite share that point of view, however, as some components still have to be dismantled before the cavern can receive its new detector. The collaboration, which has inherited L3's huge red magnet, took over at Point 2 in the middle of June and is now getting down to work. This is the first major stage in the installation of the future detector, which has to be ready to observe its first LHC collisions on 1 April 2006. The first difficulty is to remove the support tube running through the magnet. This huge 32-metre long, 4.5-m diameter, 300-t...

  11. The upgrade of the ALICE Inner Tracking System

    CERN Document Server

    Ravasenga, Ivan

    2017-01-01

    In 2021, for the third run of the CERN Large Hadron Collider (LHC), Pb-Pb collisions will be performed at a centre-of-mass energy per nucleon of 5.5 TeV, with an integrated luminosity of $6 \\times 10^{27}$ cm$^{-2}$ s$^{-1}$ and at an unprecedented interaction rate up to 50 kHz. To fulfil the requirements of the ALICE physics program for Run 3, the ALICE experiment at LHC is planning a major upgrade during the Long Shutdown 2 of LHC in 2019-2020. One of the key elements, is the construction of a new ultra-light and high-resolution Inner Tracking System (ITS). The upgraded ITS will significantly enhance the determination of the distance of closest approach to the primary vertex, the tracking efficiency at low transverse momenta, and the read-out rate capabilities, with respect to what can be achieved with the current detector. It will consist of seven layers equipped with silicon Monolithic Active Pixel Sensors (MAPS) with a pixel size of the order of $30 \\times 30 \\mu m^2$. They will be produced by Towerjazz ...

  12. Mediated definite delegation - Certified Grid jobs in ALICE and beyond

    Science.gov (United States)

    Schreiner, Steffen; Grigoras, Costin; Litmaath, Maarten; Betev, Latchezar; Buchmann, Johannes

    2012-12-01

    Grid computing infrastructures need to provide traceability and accounting of their users’ activity and protection against misuse and privilege escalation, where the delegation of privileges in the course of a job submission is a key concern. This work describes an improved handling of Multi-user Grid Jobs in the ALICE Grid Services. A security analysis of the ALICE Grid job model is presented with derived security objectives, followed by a discussion of existing approaches of unrestricted delegation based on X.509 proxy certificates and the Grid middleware gLExec. Unrestricted delegation has severe security consequences and limitations, most importantly allowing for identity theft and forgery of jobs and data. These limitations are discussed and formulated, both in general and with respect to an adoption in line with Multi-user Grid Jobs. A new general model of mediated definite delegation is developed, allowing a broker to dynamically process and assign Grid jobs to agents while providing strong accountability and long-term traceability. A prototype implementation allowing for fully certified Grid jobs is presented as well as a potential interaction with gLExec. The achieved improvements regarding system security, malicious job exploitation, identity protection, and accountability are emphasized, including a discussion of non-repudiation in the face of malicious Grid jobs.

  13. Raw-data display and visual reconstruction validation in ALICE

    International Nuclear Information System (INIS)

    Tadel, M

    2008-01-01

    ALICE Event Visualization Environment (AliEVE) is based on ROOT and its GUI, 2D and 3D graphics classes. A small application kernel provides for registration and management of visualization objects. CINT scripts are used as an extensible mechanism for data extraction, selection and processing as well as for steering of frequent event-related tasks. AliEVE is used for event visualization in offline and high-level trigger frameworks. Mechanisms and base-classes provided for visual representation of raw-data for different detector-types are described. Common infrastructure for thresholding and color-coding of signal/time information, placement of detector-modules in various 2D/3D layouts and for user-interaction with displayed data is presented. Methods for visualization of raw-data on different levels of detail are discussed as they are expected to play an important role during early detector operation with poorly understood detector calibration, occupancy and noise-levels. Since September 2006 ALICE applies a regular visual-scanning procedure to simulated proton-proton data to detect any shortcomings in cluster finding, tracking and primary and secondary vertex reconstruction. A high-level of interactivity is required to allow in-depth exploration of event-structure. Navigation back to simulation records is supported for debugging purposes. Standard 2D projections and transformations are available for clusters, tracks and simplified detector geometry

  14. Angular power spectrum in publically released ALICE events

    Science.gov (United States)

    Llanes-Estrada, Felipe J.; Muñoz Martinez, Jose L.

    2018-02-01

    We study the particles emitted in the fireball following a Relativistic Heavy Ion Collision with the traditional angular analysis employed in cosmology and earth sciences, producing Mollweide plots of the number and pt distribution of a few actual, publically released ALICE-collaboration events and calculating their angular power spectrum. We also examine the angular spectrum of a simple two-particle correlation. While this may not be the optimal way of analyzing heavy ion data, our intention is to provide a one to one comparison to analysis in cosmology. With the limited statistics at hand, we do not find evidence for acoustic peaks but a decrease of Cl that is reminiscent of viscous attenuation, but subject to a strong effect from the rapidity acceptance which probably dominates (so we also subtract the m = 0 component). As an exercise, we still extract a characteristic Silk damping length (proportional to the square root of the viscosity over entropy density ratio) to illustrate the method. The absence of acoustic-like peaks is also compatible with a crossover from the QGP to the hadron gas (because a surface tension at domain boundaries would effect a restoring force that could have driven acoustic oscillations). Presently we do not understand a depression of the l = 6 multipole strength; perhaps ALICE could reexamine it with full statistics.

  15. The Alice dimuon trigger: overview and electronics prototypes

    International Nuclear Information System (INIS)

    Arnaldi, R.; Baldit, A.; Barret, V.; Bastid, N.

    2000-01-01

    ALICE is the LHC experiment (2005) dedicated to the study of heavy ion collisions. Amongst the ALICE sub-detectors, the muon spectrometer will investigate the dimuon production from heavy resonance (J/ψ,γ) decays, which is believed to be a promising signature of the QGP (quark Gluon Plasma) formation. For maximum efficiency of the spectrometer, a dedicated dimuon trigger is presently built. The detector part itself is based on RPCs operated in streamer mode and is the topic of another contribution to this conference. This paper gives the principle and the simulated performances of the trigger and is also focussed on the description of the electronics prototypes and future developments. The RPCs are read-out by X and Y orthogonal strips: the front-end chips are presently developed. The signals are sent to the trigger electronics which basically performs a pt cut on the tracks to reduce the background. A prototype of fast (decision time 200 ns) programmable electronics working in a pipelined mode at 40 MHz has been built and tested. This prototype handles simultaneously 160 digital information from the strips. The tests of the trigger card have required the construction of a pattern generator (160 bits at 40 MHz). (author)

  16. Radiation hard analog circuits for ALICE ITS upgrade

    International Nuclear Information System (INIS)

    Gajanana, D.; Gromov, V.; Kuijer, P.; Kugathasan, T.; Snoeys, W.

    2016-01-01

    The ALICE experiment is planning to upgrade the ITS (Inner Tracking System) [1] detector during the LS2 shutdown. The present ITS will be fully replaced with a new one entirely based on CMOS monolithic pixel sensor chips fabricated in TowerJazz CMOS 0.18 μ m imaging technology. The large (3 cm × 1.5 cm  = 4.5 cm 2 ) ALPIDE (ALICE PIxel DEtector) sensor chip contains about 500 Kpixels, and will be used to cover a 10 m 2 area with 12.5 Gpixels distributed over seven cylindrical layers. The ALPOSE chip was designed as a test chip for the various building blocks foreseen in the ALPIDE [2] pixel chip from CERN. The building blocks include: bandgap and Temperature sensor in four different flavours, and LDOs for powering schemes. One flavour of bandgap and temperature sensor will be included in the ALPIDE chip. Power consumption numbers have dropped very significantly making the use of LDOs less interesting, but in this paper all blocks are presented including measurement results before and after irradiation with neutrons to characterize robustness against displacement damage

  17. Studies for the ALICE Inner Tracking System Upgrade

    CERN Document Server

    AUTHOR|(CDS)2079168; Musa, Luciano

    The ALICE experiment at the CERN LHC identifies D0 mesons via secondary-vertex reconstruction and topological cuts to reduce the corresponding combinatorial background in heavy-ion collisions. The D0 meson is produced promptly in initial, hard scatterings via the strong interaction or as feed-down from weakly decaying B hadrons. Within this thesis, a novel method for the separation of prompt and feed-down D0 mesons using cut variations was implemented and applied to data from p–Pb collisions at $\\sqrt(s_\\mathrm{NN})=5.02$ TeV. The effectiveness of the secondary-vertex reconstruction strongly depends on the performance and in particular the pointing resolution of the Inner Tracking System. The upgrade of the ALICE Inner Tracking System for the Long Shutdown 2 of the LHC in 2019/2020 will significantly improve its vertex-reconstruction and tracking capabilities. It will be equipped with Monolithic Active Pixel Sensors manufactured using the TowerJazz 180nm CMOS process on wafers with a high-resistivity epitax...

  18. Radiation hard analog circuits for ALICE ITS upgrade

    Science.gov (United States)

    Gajanana, D.; Gromov, V.; Kuijer, P.; Kugathasan, T.; Snoeys, W.

    2016-03-01

    The ALICE experiment is planning to upgrade the ITS (Inner Tracking System) [1] detector during the LS2 shutdown. The present ITS will be fully replaced with a new one entirely based on CMOS monolithic pixel sensor chips fabricated in TowerJazz CMOS 0.18 μ m imaging technology. The large (3 cm × 1.5 cm = 4.5 cm2) ALPIDE (ALICE PIxel DEtector) sensor chip contains about 500 Kpixels, and will be used to cover a 10 m2 area with 12.5 Gpixels distributed over seven cylindrical layers. The ALPOSE chip was designed as a test chip for the various building blocks foreseen in the ALPIDE [2] pixel chip from CERN. The building blocks include: bandgap and Temperature sensor in four different flavours, and LDOs for powering schemes. One flavour of bandgap and temperature sensor will be included in the ALPIDE chip. Power consumption numbers have dropped very significantly making the use of LDOs less interesting, but in this paper all blocks are presented including measurement results before and after irradiation with neutrons to characterize robustness against displacement damage.

  19. Studies on the upgrade of the ALICE central tracker

    CERN Document Server

    Mager, Magnus; Musa, Luciano

    2012-11-14

    When two high-energy lead ions collide, as they currently do inside the “Large Hadron Collider” (LHC) of the “European Organization for Nuclear Research” (CERN), energy densities similar to those shortly (some 1ps to 10μs) after the Big Bang are created. At these energies quarks are loosing their confinement into hadrons and may move around freely, the “quark-gluon plasma” (QGP) is created. Such a picture deserves of course a thorough check and a precise measurement. There are however intrinsic difficulties to overcome: the macroscopic free energy (about 1 mJ) of these collision allow for an infinite number of processes to happen and finally—-due to mass-energy equivalence--a significant number (order of 10,000) of particles is created. The ALICE experiment was designed to be able to cope with this large number of particles, it can measure the properties (species and momentum) of the big majority. This requires a very fine segmentation of the detector. The central part of ALICE is made of a 90 ...

  20. Future Upgrade and Physics Perspectives of the ALICE TPC

    CERN Document Server

    INSPIRE-00033137

    The ALICE experiment at the Large Hadron Collider (LHC) proposes major detector upgrades to fully exploit the increase of the luminosity of the LHC in RUN~3 and to extend the physics reach for rare probes at low transverse momentum. The Time Projection Chamber (TPC) is one of the main tracking and PID devices in the central barrel of ALICE. The maximum trigger rate of the TPC is currently limited to about 3.5 kHz by the operation of a gating grid system. In order to make full use of the luminosity in RUN 3, the TPC is foreseen to be operated in an ungated mode with continuous readout. The existing MWPC readout will be replaced by a Micro-Pattern Gaseous Detector (MPGD) based readout, which provides intrinsic ion capture capability without gating. Extensive detector R\\&D employing Gas Electron Multiplier (GEM) and Micro-Mesh Gaseous detector (Micromegas) technologies, and simulation studies to advance the techniques for the corrections of space-charge distortions have been performed since 2012. In this pap...