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Sample records for atlas tilecal level-2

  1. Comparaison of Atlas Tilecal module

    CERN Document Server

    Batusov1, V; Gayde, J C; Khubua, J I; Lasseur, C; Lyablin, M V; Miralles-Verge, L; Nessi, Marzio; Rusakovitch, N A; Sissakian, A N; Topilin, N D

    2002-01-01

    The high precision assembly of a large experimental set-ups is of a principal necessity for the successful execution of the forthcoming LHC research program in the TeV-beams. The creation of an adequate Survey&Control METROLOGY METHODs are an essential part of the detector construction scenario. This work contains the dimension measurement data for ATLAS hadron calorimeter MODULE#8 (6m long, 22tons) which were obtained by LASER and by PHOTOGRAMMETRY methods. The comparative data analysis demonstrates the measurements agreement within ±70mm. It means these two clearly independent methods can be combined and lead to the rise of a new generation engineering culture: high precision metrology when precision assembly of large scale massive objects.

  2. QIE12: A New High-Performance ASIC for the ATLAS TileCal Upgrade

    CERN Document Server

    Drake, Gary; The ATLAS collaboration; Proudfoot, James; Stanek, Robert; Chekanov, Sergei

    2015-01-01

    We present results on the QIE12, a custom ASIC, being developed for the ATLAS TileCal Phase 2 Upgrade. The design features 1.5 fC sensitivity, more than 17 bits of dynamic range with logarithmic response, and an on-chip TDC with one nanosecond resolution. It has a programmable shunt output for monitoring the integrated current. The device operates with no dead-time at 40 MHz, making it ideal for calorimetry at the LHC. We present bench measurements and integration studies that characterize the performance, radiation tolerance measurements, and the design for the ATLAS TileCal detector for the Phase 2 Upgrade.

  3. Setup, tests and results for the ATLAS TileCal Read Out Driver production

    CERN Document Server

    Valero, Alberto; Castillo, V; Cuenca, C; Ferrer, A; Fullana, E; González, V; Higón, E; Munar, A; Poveda, J; Ruiz-Martínez, A; Salvachúa, B; Sanchís, E; Solans, C; Soret, J; Torres, J; Valls, J A

    2007-01-01

    In this paper we describe the performance and test results of the production of the 38 ATLAS TileCal Read Out Drivers (RODs). We first describe the basic hardware specifications and firmware functionality of the modules, the test-bench setup used for production and the test procedure to qualify the boards. We then finally show and discuss the performance results.

  4. The upgrade of the laser calibration system for the ATLAS hadron calorimeter TileCal

    CERN Document Server

    Spalla, Margherita; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal), the central section of the hadronic calorimeter of the ATLAS experiment, is a key detector component to detect hadrons, jets and taus and to measure the missing transverse energy. TileCal is built of steel and scintillating tiles coupled to optical fibers and read‐out by photomultipliers (PMT). The performance of TileCal relies on a continuous, high resolution calibration of the individual response of the 10,000 channels forming the detector. The calibration is based on a three level architecture: a charge injection system used to monitor the full electronics chain including front-end amplifiers, digitizers and event builder blocks for each individual channel; a distributed optical system using laser pulses to excite all PMTs; and a mobile Cesium radiative source which is driven through the detector cell floating inside a pipe system. This architecture allows for a cascade calibration of the electronics, of the PMT and electronics, and of full chain including the active detec...

  5. A radiation tolerant Data link board for the ATLAS TileCal upgrade

    CERN Document Server

    Bohm, Christian; The ATLAS collaboration; Muschter, Steffen Lothar; Silverstein, Samuel; Valdes Santurio, Eduardo

    2015-01-01

    We describe the latest (last?) full functionality revision of the high-speed data link board for the ATLAS TileCal phase 2 upgrade. It is highly redundant, using two Kintex-7 FPGAs and two Molex QSFP+ electro-optic modules. The FPGAs are remotely configured through two radiation-hard CERN GBTx deserialisers (GBTx), which also provide the LHC-synchronous system clock. The four QSFP+ uplinks transmit data at 10 Gbps. Virtually all single-point error modes are removed, and a combination of triple-mode redundancy, internal and external scrubbing will adequately protect against radiation-induced errors.

  6. Upgrade of the Laser Calibration System for the ATLAS Hadronic Calorimeter TileCal

    CERN Document Server

    Van Woerden, Marius Cornelis; The ATLAS collaboration

    2015-01-01

    We present in this contribution the new system for laser calibration of the ATLAS hadronic calorimeter TileCal. The laser system is a part of the three stage calibration apparatus designed to compute the calibration constants of the individual cells of TileCal. The laser system is mainly used to correct for short term (one month) drifts of the readout of the individual cells. A sub-percent accuracy in the control of the calibration constants is required to keep the systematics effects introduced by relative cell miscalibration below the irreducible systematics in determining the parameters of the reconstructed hadronic jets. To achieve this goal in the LHC run II conditions, a new laser system was designed. The architecture of the system is described with details on the new optical line used to distribute laser pulses in each individual detector module and on the new electronics used to drive the laser, to readout the system optical monitors and to interface the system with the Atlas readout, trigger, and slo...

  7. Upgrade of the Laser Calibration System for the ATLAS Hadronic Calorimeter TileCal

    CERN Document Server

    Van Woerden, Marius Cornelis; The ATLAS collaboration

    2015-01-01

    We present in this contribution the new system for laser calibration of the ATLAS hadronic calorimeter TileCal. The laser system is a part of the three stage calibration apparatus designed to compute the calibration constants of the individual cells of TileCal. The laser system is mainly used to correct for short term (one month) drifts of the readout of the individual cells. A sub-percent accuracy in the control of the calibration constants is required to keep the systematics effects introduced by relative cell miscalibration below the irreducible systematics in determining the parameters of the reconstructed hadronic jets. To achieve this goal in the LHC Run 2 conditions, a new laser system was designed. The architecture of the system is described with details on the new optical line used to distribute laser pulses in each individual detector module and on the new electronics used to drive the laser, to readout the system optical monitors and to interface the system with the Atlas readout, trigger, and slow...

  8. Upgrade of the Laser calibration system for the ATLAS hadronic calorimeter TileCal

    Science.gov (United States)

    van Woerden, Marius Cornelis

    2016-07-01

    We present in this contribution the new system for Laser calibration of the ATLAS hadronic calorimeter TileCal. The Laser system is a part of the three stage calibration apparatus designed to compute the calibration factors of the individual cells of TileCal. The Laser system is mainly used to correct for short term drifts of the readout of the individual cells. A sub-percent accuracy in the control of the calibration factors is required. To achieve this goal in the LHC Run2 conditions, a new Laser system was designed. The architecture of the system is described with details on the new optical line used to distribute Laser pulses in each individual detector module and on the new electronics used to drive the Laser, to read out optical monitors and to interface the system with the ATLAS readout, trigger and slow control. The LaserII system has been fully integrated into the framework used for measuring calibration factors and for monitoring data quality. First results on the Laser system performances studied are presented.

  9. Firmware Development for the ATLAS TileCal sROD

    CERN Document Server

    Moreno Marti, Pablo; The ATLAS collaboration; Valero, Alberto

    2015-01-01

    TileCal is the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. A main upgrade of the LHC (also called Phase-II) is planned in order to increase the instantaneous luminosity in 2022. At the TileCal level, the upgrade involves the redesign of the complete read-out architecture, affecting both the front-end and the back-end electronics. In the new read-out architecture, the front-end electronics will transmit digitized information of the full detector to the back-end system every single bunch-crossing. Thus, the back-end system must provide digital calibrated information to the first level of trigger. Having all detector data per bunch crossing in the back-end will increase the precision and granularity of the trigger information, improving this way the trigger efficiencies. A reduced part of the detector, 1/256 of the total, will be equipped with the new electronics during 2015 to evaluate the proposed architecture in real conditions in the so-called “demonstra...

  10. Firmware Development for the ATLAS TileCal sROD

    CERN Document Server

    Moreno Marti, Pablo; The ATLAS collaboration; Valero, Alberto

    2015-01-01

    TileCal is the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. A main upgrade of the LHC (also called Phase-II) is planned in order to increase the instantaneous luminosity in 2022. For TileCal, the upgrade involves the redesign of the complete read-out architecture, affecting both the front-end and the back-end electronics. In the new read-out architecture, the front-end electronics will transmit digitized information of the full detector to the back-end system every single bunch-crossing. Thus, the back-end system must provide digital calibrated information to the first level of trigger. Having all detector data per bunch crossing in the back-end will increase the precision and granularity of the trigger information, improving this way the trigger efficiencies. A reduced part of the detector, 1/256 of the total, will be equipped with the new electronics during 2016 to evaluate the proposed architecture in real conditions in the so-called “demonstrator proje...

  11. Plate stamping of masterplates for the Tile-Cal hadronic calorimetric for ATLAS detector at CERN

    International Nuclear Information System (INIS)

    Various methods have been explored for the fabrication of the large trapezoidal plates used in the construction of the Tile-Cal hadronic calorimeter for ATLAS. The options include die stamping, laser cutting, waterjet cutting, plasma arc cutting, and a combination of machining and laser cutting. Very early in the program, the Argonne group began investigating the possibility of die stamping the master plates. At that time it was felt that two dies would be necessary to achieve the accuracy required. Quotations were received for dies for both the master and spacer plates. Concern was expressed by many members of the collaboration that due to the very precise tolerances required, die stamping, using standard dies, would not be adequate. Fine blanking techniques were felt to be adequate, but were cost prohibitive. Two methods were finally used for the initial cutting of prototype plates, laser cutting and die stamping. Only the die stamping, will be reviewed here

  12. Muon Identification with the ATLAS Tile Calorimeter Read-Out Driver for Level-2 Trigger Purposes

    CERN Document Server

    Ruiz-Martinez, A

    2008-01-01

    The Hadronic Tile Calorimeter (TileCal) at the ATLAS experiment is a detector made out of iron as passive medium and plastic scintillating tiles as active medium. The light produced by the particles is converted to electrical signals which are digitized in the front-end electronics and sent to the back-end system. The main element of the back-end electronics are the VME 9U Read-Out Driver (ROD) boards, responsible of data management, processing and transmission. A total of 32 ROD boards, placed in the data acquisition chain between Level-1 and Level-2 trigger, are needed to read out the whole calorimeter. They are equipped with fixed-point Digital Signal Processors (DSPs) that apply online algorithms on the incoming raw data. Although the main purpose of TileCal is to measure the energy and direction of the hadronic jets, taking advantage of its projective segmentation soft muons not triggered at Level-1 (with pT<5 GeV) can be recovered. A TileCal standalone muon identification algorithm is presented and i...

  13. On-Detector Electronics for the ATLAS TileCal Demonstrator

    CERN Document Server

    Muschter, Steffen Lothar; The ATLAS collaboration; Anderson, Kelby; Bohm, Christian; Drake, Gary; Oreglia, Mark; Paramonov, Alexander; Tang, Fukun

    2014-01-01

    In the major upgrade of the LHC and its detectors around year 2023 the beam energy and luminosity will increase significantly. For TileCal, the hadron calorimeter in ATLAS, most of the on-detector and off-detector electronics will be replaced. A new design has been proposed with some alternative solutions for some of the parts. To gain experience with this design, a demonstrator project is on-going aiming at inserting a prototype module in ATLAS this summer or in the next possible shut-down. A caveat is that it must be able to operate seamlessly with the present system. This together with test beam studies will help to finalize the design. The on-detector part of the demonstrator electronics contains five parts: new front-end boards, digitizer boards with a link daughter board, a programmable high voltage power supply and a redundant low voltage power supply. Apart from improved performance reliability is a main concern. This will be achieved by increased modularity so that the consequences of a complete fail...

  14. The ATLAS level 2 trigger supervisor

    International Nuclear Information System (INIS)

    This paper presents an overview of the hardware and software proposed for the ATLAS level 2 Trigger ROI Builder/Supervisor. The essential requirements of this system are that it operate at the design Level 1 Trigger rate of 100kHz and that it support the technical requirements of the architectures suggested for the ATLAS Level 2 Trigger. Commercial equipment and software support are used to the maximum extent possible, with support from dedicated hardware. Timing requirements and latencies are discussed and simulation results are presented

  15. TileCal Trigger Tower studies considering additional segmentation on the ATLAS upgrade for high luminosity at LHC

    CERN Document Server

    March, L; The ATLAS collaboration

    2013-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter covering the most central region of the ATLAS experiment at LHC. The TileCal readout consists of about 10000 channels and provides a compact information, called trigger towers (around 2000 signals), to the ATLAS first level online event selection system. The ATLAS upgrade program is divided in three phases: Phase 0 occurs during 2013- 2014 and prepares the LHC to reach peak luminosities of 10^34 cm2s-1; Phase 1, foreseen for 2018-1019, prepares the LHC for peak luminosity up to 2-3 x 10^34 cm2s-1, corresponding to 55 to 80 interactions per bunch-crossing with 25 ns bunch interval; and Phase 2 is foreseen for 2022-2023, whereafter the peak luminosity will reach 5-7 x 1034 cm2s-1 (HL-LHC). The ATLAS experiment is operating very well since 2009 providing large amount of data for physics analysis. The online event selection system (trigger system) was designed to reject the huge amount of background noise generated at LHC and is one of the main systems re...

  16. An Upgraded Front-End Switching Power Supply Design For the ATLAS TileCAL Detector of the LHC

    CERN Document Server

    Drake, Gary; The ATLAS collaboration

    2011-01-01

    We present the design of an upgraded switching power supply brick for the front-end electronics of the ATLAS hadron tile calorimeter (TileCAL) at the LHC. The new design features significant improvement in noise, improved fault detection, and generally a more robust design, while retaining the compact size, water-cooling, output control, and monitoring features in this 300 KHz design. We discuss the improvements to the design, and the radiation testing that we have done to qualify the design. We also present our plans for the production of 2400 new bricks for installation on the detector in 2013.

  17. The ATLAS Level-2 Trigger Pilot Project

    CERN Document Server

    Blair, R; Haberichter, W N; Schlereth, J L; Bock, R; Bogaerts, A; Boosten, M; Dobinson, Robert W; Dobson, M; Ellis, Nick; Elsing, M; Giacomini, F; Knezo, E; Martin, B; Shears, T G; Tapprogge, Stefan; Werner, P; Hansen, J R; Wäänänen, A; Korcyl, K; Lokier, J; George, S; Green, B; Strong, J; Clarke, P; Cranfield, R; Crone, G J; Sherwood, P; Wheeler, S; Hughes-Jones, R E; Kolya, S; Mercer, D; Hinkelbein, C; Kornmesser, K; Kugel, A; Männer, R; Müller, M; Sessler, M; Simmler, H; Singpiel, H; Abolins, M; Ermoline, Y; González-Pineiro, B; Hauser, R; Pope, B; Sivoklokov, S Yu; Boterenbrood, H; Jansweijer, P; Kieft, G; Scholte, R; Slopsema, R; Vermeulen, J C; Baines, J T M; Belias, A; Botterill, David R; Middleton, R; Wickens, F J; Falciano, S; Bystrický, J; Calvet, D; Gachelin, O; Huet, M; Le Dû, P; Mandjavidze, I D; Levinson, L; González, S; Wiedenmann, W; Zobernig, H

    2002-01-01

    The Level-2 Trigger Pilot Project of ATLAS, one of the two general purpose LHC experiments, is part of the on-going program to develop the ATLAS high-level triggers (HLT). The Level-2 Trigger will receive events at up to 100 kHz, which has to be reduced to a rate suitable for full event-building of the order of 1 kHz. To reduce the data collection bandwidth and processing power required for the challenging Level-2 task it is planned to use Region of Interest guidance (from Level-1) and sequential processing. The Pilot Project included the construction and use of testbeds of up to 48 processing nodes, development of optimized components and computer simulations of a full system. It has shown how the required performance can be achieved, using largely commodity components and operating systems, and validated an architecture for the Level-2 system. This paper describes the principal achievements and conclusions of this project. (28 refs).

  18. Using Objectivity/DB to create object-oriented ATLAS tilecal submodules database

    International Nuclear Information System (INIS)

    A working instance of information system based on Objectivity/DB was developed to perform ATLAS submodules data storage. The work accomplished may serve as an example for starting Objectivity/DB developers and the system created may become a base for further development in this field, since Objectivity/DB environment allows flexible extension and modification of existing object-oriented databases. Objectivity/DB is a commercial product, all the work was done thanks to CERN-JINR licence agreement for ATLAS project. (author)

  19. FATALIC: A Dedicated Front-End ASIC for the ATLAS TileCal Upgrade

    CERN Document Server

    Royer, Laurent; The ATLAS collaboration

    2015-01-01

    A front-end ASIC (FATALIC) has been developed to fulfil the requirements of the Phase 2 upgrade of the ATLAS Tile Calorimeter. This electronics performs the complete processing of the signal delivered by each PM tube. The first stage is a current conveyor which splits the 17-bit dynamic range of the input signal into three ranges. Each channel is followed by a shaper and a dedicated pipeline 12-bit ADC operating at 40MHz. The chip is developed using a 130nm CMOS technology. Measurements show a linearity better than 0.5% for low energy particles, and an ENC limited to 10 fC.

  20. Evaluation of Fermi Read-out of the ATLAS Tilecal Prototype

    CERN Document Server

    Agnvall, S; Albiol, F; Alifanov, A; Amaral, P; Amelin, D V; Amorim, A; Anderson, K J; Angelini, C; Antola, A; Astesan, F; Astvatsaturov, A R; Autiero, D; Badaud, F; Barreira, G; Benetta, R; Berglund, S R; Blanchot, G; Blucher, E; Blaj, C; Bodö, P; Bogush, A A; Bohm, C; Boldea, V; Borisov, O N; Bosman, M; Bouhemaid, N; Brette, P; Breveglieri, L; Bromberg, C; Brossard, M; Budagov, Yu A; Calôba, L P; Carvalho, J; Casado, M P; Castera, A; Cattaneo, Paolo Walter; Cavalli-Sforza, M; Cavasinni, V; Chadelas, R; Chevaleyre, J C; Chirikov-Zorin, I E; Chlachidze, G; Cobal, M; Cogswell, F; Colaço, F; Constantinescu, S; Costanzo, D; Crouau, M; Dadda, L; Daudon, F; David, J; David, M; Davidek, T; Dawson, J; De, K; Del Prete, T; De Santo, A; Di Girolamo, B; Dita, S; Dolejsi, J; Dolezal, Z; Downing, R; Dugne, J J; Efthymiopoulos, I; Engström, M; Errede, D; Errede, S; Evans, H; Fenyuk, A; Ferrer, A; Flaminio, Vincenzo; Fristedt, A; Gallas, E J; Gaspar, M; Gildemeister, O; Givoletto, M; Glagolev, V V; Goggi, Giorgio V; Gómez, A; Gong, S; Guz, Yu; Grabskii, V; Grieco, M; Hakopian, H H; Haney, M W; Hansen, M; Hellman, S; Henriques, A; Hentzell, H; Holmberg, T; Holmgren, S O; Honoré, P F; Huston, J; Ivanyushenkov, Yu M; Jon-And, K; Juste, A; Kakurin, S; Karapetian, G V; Karyukhin, A N; Kérek, A; Khokhlov, Yu A; Kopikov, S V; Kostrikov, M E; Kostyukhin, V; Kukhtin, V V; Kulchitskii, Yu A; Kurzbauer, W; Lami, S; Landi, G; Lapin, V; Lazzeroni, C; Lebedev, A; Leitner, R; Li, J; Lippi, M; Le Dortz, O; Löfstedt, B; Lomakin, Yu F; Lomakina, O V; Lokajícek, M; Lund-Jensen, B; Maio, A; Malyukov, S N; Mariani, R; Marroquin, F; Martins, J P; Mazzoni, E; Merritt, F S; Michel, B; Miller, R; Minashvili, I A; Miralles, L; Mnatzakanian, E A; Montarou, G; Motto, S; Muanza, G S; Némécek, S; Nessi, Marzio; Ödmark, A; Onofre, A; Orteu, S; Padilla, C; Pallin, D; Pantea, D; Patriarca, J; Pereira, A; Perlas, J A; Persson, S T; Petit, P; Pilcher, J E; Pinhão, J; Poggioli, Luc; Poirot, S; Polesello, G; Price, L E; Proudfoot, J; Pukhov, O; Reinmuth, G; Renzoni, G; Richards, R; Riu, I; Romanov, V; Ronceux, B; Rumyantsev, V; Rusakovitch, N A; Sami, M; Sanders, H; Santos, J; Savoy-Navarro, Aurore; Sawyer, L; Says, L P; Schwemling, P; Seixas, J M; Selldén, B; Semenov, A A; Shchelchkov, A S; Shochet, M J; Simaitis, V J; Sissakian, A N; Solodkov, A A; Solovyanov, O; Sonderegger, P; Soustruznik, K; Stanek, R; Starchenko, E A; Stefanelli, R; Stephens, R; Suk, M; Sundblad, R; Svensson, C; Tang, F; Tardell, S; Tas, P; Teubert, F; Thaler, J J; Tokár, S; Topilin, N D; Trka, Z; Turcot, A S; Turcotte, M; Valkár, S; Varanda, M J; Vartapetian, A H; Vazeille, F; Vinogradov, V; Vivaldi, F; Vorozhtsov, S B; Wagner, D; White, A; Wolters, H; Yamdagni, N; Yarygin, G; Yosef, C; Yuan, J; Zaitsev, A; Zdrazil, M

    1998-01-01

    Prototypes of the \\fermi{} system have been used to read out a prototype of the \\atlas{} hadron calorimeter in a beam test at the CERN SPS. The \\fermi{} read-out system, using a compressor and a 40 MHz sampling ADC, is compared to a standard charge integrating read-out by measuring the energy resolution of the calorimeter separately with the two systems on the same events. Signal processing techniques have been designed to optimize the treatment of \\fermi{} data. The resulting energy resolution is better than the one obtained with the standard read-out.

  1. Reliable and redundant FPGA based read-out design in the ATLAS TileCal Demonstrator

    Energy Technology Data Exchange (ETDEWEB)

    Akerstedt, Henrik; Muschter, Steffen; Drake, Gary; Anderson, Kelby; Bohm, Christian; Oreglia, Mark; Tang, Fukun

    2015-10-01

    The Tile Calorimeter at ATLAS [1] is a hadron calorimeter based on steel plates and scintillating tiles read out by PMTs. The current read-out system uses standard ADCs and custom ASICs to digitize and temporarily store the data on the detector. However, only a subset of the data is actually read out to the counting room. The on-detector electronics will be replaced around 2023. To achieve the required reliability the upgraded system will be highly redundant. Here the ASICs will be replaced with Kintex-7 FPGAs from Xilinx. This, in addition to the use of multiple 10 Gbps optical read-out links, will allow a full read-out of all detector data. Due to the higher radiation levels expected when the beam luminosity is increased, opportunities for repairs will be less frequent. The circuitry and firmware must therefore be designed for sufficiently high reliability using redundancy and radiation tolerant components. Within a year, a hybrid demonstrator including the new readout system will be installed in one slice of the ATLAS Tile Calorimeter. This will allow the proposed upgrade to be thoroughly evaluated well before the planned 2023 deployment in all slices, especially with regard to long term reliability. Different firmware strategies alongside with their integration in the demonstrator are presented in the context of high reliability protection against hardware malfunction and radiation induced errors.

  2. Reliable and redundant FPGA based read-out design in the ATLAS TileCal Demonstrator

    CERN Document Server

    Akerstedt, H; The ATLAS collaboration; Drake, Gary; Anderson, Kelby; Bohm, C; Oreglia, Mark; Tang, Fukun

    2015-01-01

    The Tile Calorimeter at ATLAS is a hadron calorimeter based on steel plates and scintillating tiles read out by PMTs. The current read-out system uses standard ADCs and custom ASICs to digitize and temporarily store the data on the detector. However, only a subset of the data is actually read out to the counting room. The on-detector electronics will be replaced around 2023. To achieve the required reliability the upgraded system will be highly redundant. Here the ASICs will be replaced with Kintex-7 FPGAs from Xilinx. This, in addition to the use of multiple 10 Gbps optical read-out links, will allow a full read-out of all detector data. Due to the higher radiation levels expected when the beam luminosity is increased, opportunities for repairs will be less frequent. The circuitry and firmware must therefore be designed for sufficiently high reliability using redundancy and radiation tolerant components. Within a year, a hybrid demonstrator including the new read-out system will be installed in one slice of ...

  3. The TileCal Laser Calibration System

    Science.gov (United States)

    Giangiobbe, Vincent; On Behalf Of The Atlas Tile Calorimeter Group

    TileCal is the central hadronic calorimeter of the ATLAS detector operating at LHC. It is a sampling calorimeter whose active material is made of scintillating plastic tiles. Scintillation light is read by photomultipliers. A Laser system is used to monitor their gain stability. During dedicated calibration runs the Laser system sends via long optical fibers, a monitored amount of light simultaneously to all the ≈10000 photomultipliers of TileCal. This note describes two complementary methods to measure the stability of the photomultipliers gain using the Laser calibration runs. The results of validation tests are presented for both methods and theirrespective performances and limitations are discussed.

  4. B-Identifikation im Level 2 Trigger des ATLAS Experiments

    CERN Document Server

    AUTHOR|(CDS)2072780

    Zur Zeit wird am europäischen Forschungszentrum für Teilchenphysik CERN der neue Proton-Proton-Speicherring LHC und die zugehörigen vier Experimente gebaut. Ziele der Experimente sind unter anderem der Nachweis des Higgs-Bosons sowie detaillierte Studien des top-Quarks. Um möglichst reine Datensätze zu erhalten wäre es hilfreich, diese Ereignisse bereits während der Datennahme möglichst effizient zu selektieren. Dabei würde es helfen, wenn b-Quark-Jets auf Trigger-Niveau erkannt werden könnten. Ziel der Arbeit war die Entwicklung eines Algorithmus zur Identifikation von b-Quark-Jets, welcher die Anforderungen des Level 2 Triggers erfüllt. Das erste Kapitel der Arbeit gibt einen Einblick in die wesentlichen Bestandteile des Standardmodells der Teilchenphysik. In den folgenden zwei Kapiteln wird der Beschleuniger und der ATLAS Detektor sowie das ATLAS-Triggersystem beschrieben. Kapitel vier beschreibt die Möglichkeiten der B-Jet-Identifikation sowie einen Vertexalgorithmus auf Basis der Perigee-Pa...

  5. Online Muon Reconstruction in the ATLAS Level-2 trigger system

    CERN Document Server

    Di Mattia, A; Dos Anjos, A; Baines, J T M; Bee, C P; Biglietti, M; Bogaerts, J A C; Boisvert, V; Bosman, M; Caron, B; Casado, M P; Cataldi, G; Cavalli, D; Cervetto, M; Comune, G; Conde-Muíño, P; De Santo, A; Díaz-Gómez, M; Dosil, M; Ellis, Nick; Emeliyanov, D; Epp, B; Falciano, S; Farilla, A; George, S; Ghete, V M; González, S; Grothe, M; Kabana, S; Khomich, A; Kilvington, G; Konstantinidis, N P; Kootz, A; Lowe, A; Luci, C; Luminari, L; Maeno, T; Marzano, F; Masik, J; Meessen, C; Mello, A G; Merino, G; Moore, R; Morettini, P; Negri, A; Nikitin, N V; Nisati, A; Padilla, C; Panikashvili, N; Parodi, F; Pasqualucci, E; Pérez-Réale, V; Pinfold, J L; Pinto, P; Qian, Z; Resconi, S; Rosati, S; Sánchez, C; Santamarina-Rios, C; Scannicchio, D A; Schiavi, C; Segura, E; De Seixas, J M; Sivoklokov, S Yu; Soluk, R A; Stefanidis, E; Sushkov, S; Sutton, M; Tapprogge, Stefan; Thomas, E; Touchard, F; Venda-Pinto, B; Vercesi, V; Werner, P; Wheeler, S; Wickens, F J; Wiedenmann, W; Wielers, M; Zobernig, G; 2004 IEEE Nuclear Science Symposium And Medical Imaging Conference

    2004-01-01

    To cope with the 40 MHz event production rate of LHC, the trigger of the ATLAS experiment selects the events in three sequential steps of increasing complexity and accuracy whose final results are close to the offline reconstruction. The Level-1, implemented with custom hardware, identifies physics objects within Regions of Interests and operates a first reduction of the event rate to 75 KHz. The higher trigger levels provide a software based event selection which further reduces the event rate to about 100 Hz. This paper presents the algorithm (muFast) employed at Level-2 to confirm the muon candidates flagged by the Level-1. muFast identifies hits of muon tracks inside the Muon Spectrometer and provides a precise measurement of the muon momentum at the production vertex. The algorithm must process the Level-1 muon output rate (~20 KHz), thus a particular care has been used for its optimization. The result is a very fast track reconstruction algorithm with good physics performances which, in some cases, appr...

  6. The Development of a General Purpose ARM-based Processing Unit for the ATLAS TileCal sROD

    CERN Document Server

    Cox, Mitchell Arij; The ATLAS collaboration; Mellado Garcia, Bruce Rafael

    2015-01-01

    The Large Hadron Collider at CERN generates enormous amounts of raw data which present a serious computing challenge. After Phase-II upgrades in 2022, the data output from the ATLAS Tile Calorimeter will increase by 200 times to 41 Tb/s! ARM processors are common in mobile devices due to their low cost, low energy consumption and high performance. It is proposed that a cost-effective, high data throughput Processing Unit (PU) can be developed by using several consumer ARM processors in a cluster configuration to allow aggregated processing performance and data throughput while maintaining minimal software design difficulty for the end-user. This PU could be used for a variety of high-level functions on the high-throughput raw data such as spectral analysis and histograms to detect possible issues in the detector at a low level. High-throughput I/O interfaces are not typical in consumer ARM System on Chips but high data throughput capabilities are feasible via the novel use of PCI-Express as the I/O interface ...

  7. The development of a general purpose ARM-based processing unit for the ATLAS TileCal sROD

    International Nuclear Information System (INIS)

    After Phase-II upgrades in 2022, the data output from the LHC ATLAS Tile Calorimeter will increase significantly. ARM processors are common in mobile devices due to their low cost, low energy consumption and high performance. It is proposed that a cost-effective, high data throughput Processing Unit (PU) can be developed by using several consumer ARM processors in a cluster configuration to allow aggregated processing performance and data throughput while maintaining minimal software design difficulty for the end-user. This PU could be used for a variety of high-level functions on the high-throughput raw data such as spectral analysis and histograms to detect possible issues in the detector at a low level. High-throughput I/O interfaces are not typical in consumer ARM System on Chips but high data throughput capabilities are feasible via the novel use of PCI-Express as the I/O interface to the ARM processors. An overview of the PU is given and the results for performance and throughput testing of four different ARM Cortex System on Chips are presented

  8. The TileCal Barrel Test Assembly

    CERN Multimedia

    Leitner, R

    On 30th October, the mechanics test assembly of the central barrel of the ATLAS tile hadronic calorimeter was completed in building 185. It started on 23rd June and is the second wheel for the Tilecal completely assembled this year. The ATLAS engineers and technicians are quick: instead of the 27 weeks initially foreseen for assembling the central barrel of the tile hadronic calorimeter (Tilecal) in building 185, they inserted the last of the 64 modules on 30th October after only 19 weeks. In part, this was due to the experience gained in the dry run assembly of the first extended barrel, produced in Spain, in spring this year (see Bulletin 23/2003); however, the central barrel is twice as long - and twice as heavy. With a length of 6.4 metres, an outer diameter of 8.5 metres and an inner diameter of 4.5 metres, the object weight is 1300 tonnes. The whole barrel cylinder is supported by the stainless steel support structure weighing only 27 tons. The barrel also has to have the right shape: over the whole 8...

  9. The use of low-cost SMPs in the Atlas level-2 trigger

    CERN Document Server

    Bock, R; Ermolin, Y; Kugel, A; Lay, R; Werner, P

    2000-01-01

    Low-cost SMP (Symmetric Multi-Processor) systems have become generallyavailable since 1998; they provide substantial CPU and I/O capacity along with a memory that is shared by all processors. We have investigated two areas of application in the Atlas level-2 trigger.

  10. Study and testing of the photomultipliers of TILECAL calorimeter of ATLAS detector. Search for stop t-tilde1 with ATLAS detector

    International Nuclear Information System (INIS)

    The first part of this thesis presents the prospective study on the possibility that we observe an excess of event with four light quark jets, two b quark jets and missing transverse energy in comparison with the predictions of standard model. In the frame of the SUperGRAvity (SUGRA) these events are produced by the Stop decay. The results show that it will be possible to observe an excess of events if Stop mass is less than 600 GeV. The second part of this work turns on the design of the photomultipliers which will be used in ATLAS Tile Calorimeter. A huge work of development and optimisation has been done to make R7877 Hamamatsu photomultiplier fitting all the specifications dictating by the detector. The measurements developed to characterize the photomultipliers are discussed. An special effort has been done to understand and solve the problem of instability of R7877 photomultiplier. In the future, Tile calorimeter will be equipped with 10000 photomultipliers, so a test bench has been developed in order to characterize all these photomultipliers. The performances of this test bench are inspected for each type of measurement (amplification, quantum efficiency, collection efficiency, dark current, linearity and stability). The specifications and technical design of this test bench are summarized in annexes. (author)

  11. Studies for a common selection software environment in ATLAS from the Level-2 Trigger to the offline reconstruction

    CERN Document Server

    Wiedenmann, W; Baines, J T M; Bee, C P; Biglietti, M; Bogaerts, A; Boisvert, V; Bosman, M; Brandt, S; Caron, B; Casado, M P; Cataldi, G; Cavalli, D; Cervetto, M; Comune, G; Corso-Radu, A; Di Mattia, A; Díaz-Gómez, M; Dos Anjos, A; Drohan, J; Ellis, Nick; Elsing, M; Epp, B; Etienne, F; Falciano, S; Farilla, A; George, S; Ghete, V M; González, S; Grothe, M; Kaczmarska, A; Karr, K M; Khomich, A; Konstantinidis, N P; Krasny, W; Li, W; Lowe, A; Luminari, L; Meessen, C; Mello, A G; Merino, G; Morettini, P; Moyse, E; Nairz, A; Negri, A; Nikitin, N V; Nisati, A; Padilla, C; Parodi, F; Pérez-Réale, V; Pinfold, J L; Pinto, P; Polesello, G; Qian, Z; Resconi, S; Rosati, S; Scannicchio, D A; Schiavi, C; Schörner-Sadenius, T; Segura, E; De Seixas, J M; Shears, T G; Sivoklokov, S Yu; Smizanska, M; Soluk, R A; Stanescu, C; Tapprogge, Stefan; Touchard, F; Vercesi, V; Watson, A T; Wengler, T; Werner, P; Wheeler, S; Wickens, F J; Wielers, M; Zobernig, G; NSS-MIC 2003 - IEEE Nuclear Science Symposium and Medical Imaging Conference, Part 1

    2004-01-01

    The Atlas High Level Trigger's primary function of event selection will be accomplished with a Level-2 trigger farm and an Event Filter farm, both running software components developed in the Atlas offline reconstruction framework. While this approach provides a unified software framework for event selection, it poses strict requirements on offline components critical for the Level-2 trigger. A Level-2 decision in Atlas must typically be accomplished within 10 ms and with multiple event processing in concurrent threads. In order to address these constraints, prototypes have been developed that incorporate elements of the Atlas Data Flow -, High Level Trigger -, and offline framework software. To realize a homogeneous software environment for offline components in the High Level Trigger, the Level-2 Steering Controller was developed. With electron/gamma- and muon-selection slices it has been shown that the required performance can be reached, if the offline components used are carefully designed and optimized ...

  12. Study of TileCal Scintillators Irradiation using the Minimum Bias Integrators

    CERN Document Server

    Fischer, Cora; The ATLAS collaboration

    2016-01-01

    This Talk is about the Minimum Bias Integrator System used in the ATLAS TileCal to monitor the instantaneous luminosity and detector response. Studies concerning these two topics are presented for 2012 and 2015 data periods. An emphasis is placed on the study of scintillator irradiation.

  13. A Level-2 trigger algorithm for the identification of muons in the ATLAS Muon Spectrometer

    CERN Document Server

    Di Mattia, A; Dos Anjos, A; Baines, J T M; Bee, C P; Biglietti, M; Bogaerts, J A C; Boisvert, V; Bosman, M; Caron, B; Casado, M P; Cataldi, G; Cavalli, D; Cervetto, M; Comune, G; Conde-Muíño, P; De Santo, A; Díaz-Gómez, M; Dosil, M; Ellis, Nick; Emeliyanov, D; Epp, B; Falciano, S; Farilla, A; George, S; Ghete, V M; González, S; Grothe, M; Kabana, S; Khomich, A; Kilvington, G; Konstantinidis, N P; Kootz, A; Lowe, A; Luminari, L; Maeno, T; Masik, J; Meessen, C; Mello, A G; Merino, G; Moore, R; Morettini, P; Negri, A; Nikitin, N V; Nisati, A; Padilla, C; Panikashvili, N; Parodi, F; Pasqualucci, E; Pérez-Réale, V; Pinfold, J L; Pinto, P; Qian, Z; Resconi, S; Rosati, S; Sánchez, C; Santamarina-Rios, C; Scannicchio, D A; Schiavi, C; Segura, E; De Seixas, J M; Sivoklokov, S Yu; Soluk, R A; Stefanidis, E; Sushkov, S S; Sutton, M; Tapprogge, Stefan; Thomas, E; Touchard, F; Venda-Pinto, B; Vercesi, V; Werner, P; Wheeler, S; Wickens, F J; Wiedenmann, W; Wielers, M; Zobernig, G; Computing In High Energy Physics

    2005-01-01

    The ATLAS Level-2 trigger provides a software-based event selection after the initial Level-1 hardware trigger. For the muon events, the selection is decomposed in a number of broad steps: first, the Muon Spectrometer data are processed to give physics quantities associated to the muon track (standalone feature extraction) then, other detector data are used to refine the extracted features. The “µFast” algorithm performs the standalone feature extraction, providing a first reduction of the muon event rate from Level-1. It confirms muon track candidates with a precise measurement of the muon momentum. The algorithm is designed to be both conceptually simple and fast so as to be readily implemented in the demanding online environment in which the Level-2 selection code will run. Never-the-less its physics performance approaches, in some cases, that of the offline reconstruction algorithms. This paper describes the implemented algorithm together with the software techniques employed to increase its timing p...

  14. Comparison of ATLAS Tilecal MODULE No 8 high-precision metrology measurement results obtained by laser (JINR) and photogrammetric (CERN) methods

    CERN Document Server

    Batusov, V; Gayde, J C; Khubua, J I; Lasseur, C; Lyablin, M V; Miralles-Verge, L; Nessi, Marzio; Rusakovitch, N A; Sissakian, A N; Topilin, N D

    2002-01-01

    The high-precision assembly of large experimental set-ups is of a principal necessity for the successful execution of the forthcoming LHC research programme in the TeV-beams. The creation of an adequate survey and control metrology method is an essential part of the detector construction scenario. This work contains the dimension measurement data for ATLAS hadron calorimeter MODULE No. 8 (6 m, 22 tons) which were obtained by laser and by photogrammetry methods. The comparative data analysis demonstrates the measurements agreement within +or-70 mu m. It means, these two clearly independent methods can be combined and lead to the rise of a new-generation engineering culture: high-precision metrology when precision assembling of large scale massive objects. (3 refs).

  15. Study of TileCal scintillators irradiation using the Minimum Bias integrators

    CERN Document Server

    Fischer, Cora; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the central hadronic calorimeter of the ATLAS experiment at the LHC. It provides precise energy measurements of hadrons, jets, taus and missing transverse energy. The monitoring and calibration of the calorimeter response at each stage of the signal development is done by a movable Cs$^{137}$ radioactive source, a laser calibration system and a charge injection system. Moreover, during LHC data taking, an integrator based readout provides the signals coming from inelastic proton-proton collisions at predominantly low momentum transfer (minimum bias events) and allows to monitor the instantaneous ATLAS luminosity as well as the response of calorimeter cells. The integrator currents have been used to detect and quantify the effect of TileCal scintillators irradiation using the data taken in 2012 and 2015 that corresponds to about 22\\;fb$^{-1}$ and 4\\;fb$^{-1}$ of integrated luminosity. Finally, the response variation for an irradiated cell has been studied combining the informa...

  16. Wheels lining up for ATLAS

    CERN Multimedia

    2003-01-01

    On 30 October, the mechanics test assembly of the central barrel of the ATLAS tile hadronic calorimeter was completed in building 185. It is the second wheel for the Tilecal completely assembled this year.

  17. An Alternative Method for Tilecal Signal Detection and Amplitude Estimation

    CERN Document Server

    Sotto-Maior Peralva, B; The ATLAS collaboration; Manhães de Andrade Filho, L; Manoel de Seixas, J

    2011-01-01

    The Barrel Hadronic calorimeter of ATLAS (Tilecal) is a detector used in the reconstruction of hadrons, jets, muons and missing transverse energy from the proton-proton collisions at the Large Hadron Collider (LHC). It comprises 10,000 channels in four readout partitions and each calorimeter cell is made of two readout channels for redundancy. The energy deposited by the particles produced in the collisions is read out by the several readout channels and its value is estimated by an optimal filtering algorithm, which reconstructs the amplitude and the time of the digitized signal pulse sampled every 25 ns. This work deals with signal detection and amplitude estimation for the Tilecal under low signal-to-noise ratio (SNR) conditions. It explores the applicability (at the cell level) of a Matched Filter (MF), which is known to be the optimal signal detector in terms of the SNR. Moreover, it investigates the impact of signal detection when summing both signals from the same cell before estimating the amplitude, ...

  18. Radioactive sources for ATLAS hadron tile calorimeter calibration

    International Nuclear Information System (INIS)

    The main requirements for radioactive sources applied in the TileCal calibration systems are formulated; technology of the sources production developed in the Laboratory of Nuclear Problems, JINR is described. Design and characteristics of the prototype sources manufactured in Dubna and tested on ATLAS TileCal module 0 are presented

  19. Commodity multi-processor systems in the ATLAS level-2 trigger

    International Nuclear Information System (INIS)

    Low cost SMP (Symmetric Multi-Processor) systems provide substantial CPU and I/O capacity. These features together with the ease of system integration make them an attractive and cost effective solution for a number of real-time applications in event selection. In ATLAS the authors consider them as intelligent input buffers (active ROB complex), as event flow supervisors or as powerful processing nodes. Measurements of the performance of one off-the-shelf commercial 4-processor PC with two PCI buses, equipped with commercial FPGA based data source cards (microEnable) and running commercial software are presented and mapped on such applications together with a long-term program of work. The SMP systems may be considered as an important building block in future data acquisition systems

  20. Commodity multi-processor systems in the ATLAS level-2 trigger

    CERN Document Server

    Abolins, M; Bock, R; Bogaerts, J A C; Dawson, J; Ermoline, Y; Hauser, R; Kugel, A; Lay, R; Müller, M; Noffz, K H; Pope, B; Schlereth, J L; Werner, P

    2000-01-01

    Low cost SMP (symmetric multi-processor) systems provide substantial CPU and I/O capacity. These features together with the ease of system integration make them an attractive and cost effective solution for a number of real-time applications in event selection. In ATLAS we consider them as intelligent input buffers (an "active" ROB complex), as event flow supervisors or as powerful processing nodes. Measurements of the performance of one off-the-shelf commercial 4- processor PC with two PCI buses, equipped with commercial FPGA based data source cards (microEnable) and running commercial software are presented and mapped on such applications together with a long-term programme of work. The SMP systems may be considered as an important building block in future data acquisition systems. (9 refs).

  1. Online Muon Reconstruction in the ATLAS Muon Spectrometer at the Level-2 stage of the Event Selection

    CERN Document Server

    Di Mattia, A; The ATLAS collaboration

    2011-01-01

    To cope with the 40 MHz event production rate of LHC, the ATLAS experiment uses a multi level trigger architecture that selects events in three sequential steps, increasing the complexity of reconstruction algorithms and accuracy of measurements with each step. The Level-1 is implemented with custom hardware and provides a first reduction of the event rate to 75KHz, identifying physics candidates within a small detector region (Region of Interest, RoI). The higher trigger levels, the Level-2 and the Event Filter, are running on dedicated PC farms where the event rate is further reduced to O(400) Hz by software algorithms. At Level-2, the selection of the muon events is initiated by the MuFast algorithm, which confirms the muon candidates by means of a precise measurement of the muon candidate momentum. Designed to use a negligible fraction of the Level-2 latency, this algorithm exploits fast tracking and Look Up Table (LUT) techniques to perform the muon reconstruction with the precision muon chamber data wit...

  2. Online Muon Reconstruction in the ATLAS Muon Spectrometer at the Level-2 stage of the Event Selection

    CERN Document Server

    Di Mattia, A; The ATLAS collaboration

    2011-01-01

    To cope with the 40 MHz event production rate of LHC, the ATLAS experiment uses a multi level trigger architecture that selects events in three sequential steps, increasing the complexity of reconstruction algorithms and accuracy of measurements with each step. The Level-1 is implemented with custom hardware and provides a first reduction of the event rate to 75KHz, identifying physics candidates within a small detector region (Region of Interest, RoI). The higher trigger levels, the Level-2 and the Event Filter, are running on dedicated PC farms where the event rate is further reduced to O(400) Hz by software algorithms. At Level-2, the selection of the muon events is initiated by the “MuFast” algorithm, which confirms the muon candidates by means of a precise measurement of the muon candidate momentum. Designed to use a negligible fraction of the Level-2 latency, this algorithm exploits fast tracking and Look Up Table (LUT) techniques to perform the muon reconstruction with the precision muon chamber da...

  3. Exploiting Parallelism in the TileCal Trigger System with GPGPU

    Science.gov (United States)

    Sacks, Marc

    2015-10-01

    After the 2022 upgrades, the Tile Calorimeter (TileCal) detector at ATLAS will be generating raw data at a rate of approximately 41 TB/s. The TileCal triggering system contains a degree of parallelism in its processing algorithms and thus presents an opportunity to explore the use of general-purpose computing on graphics processing units (GPGPU). Currently, research into the viability of an sROD ARM-based co-processing unit (PU) is being conducted at Wits University with especial regard to increasing the I/O throughput of the detector. Integration of GPGPU into this PU could enhance its performance by relieving the ARMs of particularly parallel computations. In addition to the PU, use of GPGPU in the front-end trigger is being investigated on the basis of the used algorithms having a similarity to image processing algorithms - where GPU can be used optimally. The use of GPUs in assistance to or in place of FPGAs can be justified by GPUs’ relative ease of programming; C/C++ like languages as opposed to assembly-like Hardware Description Languages (HDLs). This project will consider how GPUs can best be utilised as a subsystem of TileCal in terms of power and computing efficiency; and therefore cost.

  4. The TileCal Optical Multiplexer Board 9U

    CERN Document Server

    Valero, A; The ATLAS collaboration; Castillo, V; Ferrer, A; González, V; Hernández, Y; Higón, E; Marín, CA; Moreno, P; Sanchís, E; Solans, C; Valls, JA

    2011-01-01

    TileCal is the hadronic calorimeter of the ATLAS experiment at LHC/CERN. The system contains roughly 10,000 channels of read-out electronics, whose signals are gathered and digitized in the front-end electronics and then transmitted to the counting room through two redundant optical links. Then, the data is received in the back-end system by the Optical Multiplexer Board (OMB) 9U which performs a CRC check to the redundant data to avoid Single Event Upsets errors. A real-time decision is taken on the event-to-event basis to transmit single data to the ReadEOut Drivers (RODs) for processing. Due to the low dose level expected during the first years of operations in ATLAS it was decided not to use a redundant system and currently the front-end electronics is directly connected to the RODs. However, the increasing luminosity of the LHC will force to use the redundant read-out and the OMB system will be installed. Moreover, the OMB can be used as a ROD injector to emulate the front-end electronics for ROD softwar...

  5. The TileCal Optical Multiplexer Board 9U

    CERN Document Server

    Valero, A

    2012-01-01

    TileCal is the hadronic calorimeter of the ATLAS experiment at LHC/CERN. The system contains roughly 10,000 channels of read‐out electronics, whose signals are gathered and digitized in the front‐end electronics and then transmitted to the counting room through two redundant optical links. Then, the data is received in the back‐end system by the Optical Multiplexer Board (OMB) 9U which performs a CRC check to the redundant data to avoid Single Event Upsets errors. A real‐time decision is taken on the event‐to-event basis to transmit single data to the Read‐Out Drivers (RODs) for processing. Due to the low dose level expected during the first years of operations in ATLAS it was decided not to use a redundant system and currently the front‐end electronics is directly connected to the RODs. However, the increasing luminosity of the LHC will force to use the redundant read‐out and the OMB system will be installed. Moreover, the OMB can be used as a ROD injector to emulate the front‐end electroni...

  6. Calculation of the TileCal magnetic forces using 3D Tosca model

    International Nuclear Information System (INIS)

    The purpose of the given paper is to contribute to the new summary (taking into account the latest information) of magnetic forces, acting on various parts of the TileCal of the ATLAS detector (LHC, CERN). To get an impression of the field distribution in the vicinity of the objects under consideration of existing 3D Tosca field model of the detector was used. The detailed distribution of forces along the border of various parts of the system, derived here, is valuable for understanding the mechanics of system performance

  7. Pixel-Tilecal-MDT Combined Test Beam

    CERN Multimedia

    B. Di Girolamo

    A test with many expectations When an additional week of running (from September 11th to 18th) was allocated for the test-beam, it was decided to give priority to a combined run with the participation of the Pixel, Tilecal and MDT sub-detectors. The integration of these three sub-detectors was possible as they all use the baseline (DAQ-1/EF based) DAQ for test beams (as reported in a previous e-news). The tests and the addition of a common trigger and busy were organized in a short timescale by experts from the three sub-detectors and DAQ/EF. The expectations were many; both looking for problems and finding solutions. The setup The setup, shown in the figure, consisted of the Pixel telescope normally used during the sub-detector tests, two Tilecal barrel modules, two Tilecal extended barrel modules, and six MDT barrel chambers. This fully occupied a length of some 30 meters in the H8 line of the SPS North Area. Each sub-detector used their own specialized front-end electronics. The data collected by modu...

  8. A new read-out architecture for the ATLAS Tile Calorimeter Phase-II Upgrade

    CERN Document Server

    Valero, Alberto; The ATLAS collaboration

    2015-01-01

    TileCal is the Tile hadronic calorimeter of the ATLAS experiment at the LHC. The LHC has planned a series of upgrades culminating in the High Luminosity LHC (HL-LHC) which will increase of order five to seven times the LHC nominal instantaneous luminosity. TileCal will undergo an upgrade to accommodate to the HL-LHC parameters. The TileCal read-out electronics will be redesigned introducing a new read-out strategy. The new TileCal read-out architecture is presented including a description of the main electronics modules and some preliminary results obtained with the first demonstrator system.

  9. Tilecal meets two major milestones

    CERN Multimedia

    Cavalli-Sforza, M.

    Over the last two months the Tile Calorimeter passed not one but two major milestones. In early May, the last of the 64 modules that make up one of the two Extended Barrels arrived at CERN from IFAE-Barcelona, equipped with optical components and tested. And during the Overview Week in Clermont-Ferrand, the last of the 64 Barrel modules, mechanically assembled, arrived from JINR-Dubna. Just a brief reminder: the ATLAS Tile Calorimeter is composed of 3 cylinders ("barrels") of steel, scintillating tiles and optical fibers, altogether about 12 m long, with an outer diameter of 8.4 m, and weighing about 2700 tons. The central cavity will contain the Liquid Argon cryostats, and the whole calorimetry system will measure the direction and energy of jets produced at the LHC, as well as the missing transverse energy, which as everyone knows is one of the telltale signals of new and exciting physics. Each of the three cylinders is divided azimuthally into 64 modules - much like the slices of an orange. The modules ar...

  10. The Physics Performance Of And Level 2 Trigger For The Inner Detector Of Atlas (particle Detector, Muon Tracking, Cern)

    CERN Document Server

    Dankers, R J

    1998-01-01

    In this thesis I describe a study on the physics performance of the ATLAS inner detector and a study on aspects of the second level trigger for the ATLAS inner detector. I present a short discussion of the standard model of particle physics, the Large Hadron Collider (LHC) at CERN and the physics potential of LHC. I introduce the ATLAS experiment, which is one of the four future LHC experiments. The ATLAS detector consists of an inner tracker (inner detector), calorimeters and a muon spectrometer. I present a parameterisation of the reconstruction accuracy of the ATLAS inner tracker for muon tracks. A method is described for calculating from a given set of parameters, representing a muon track in the inner tracker, a smeared set of parameters, as would be obtained from real measurements. Results are presented. I shortly describe supersymmetry and discuss the possibility to find evidence for the existence of super-symmetry with ATLAS. I describe the ATLAS trigger and data acquisition system. The task of the AT...

  11. Estudio, diseño e implementación del módulo de preprocesado de datos del sistema Read out Driver para el calorímetro tilecal del experimento Atlas/LHC del CERN.

    OpenAIRE

    Torres País, José

    2005-01-01

    RESUMEN El objeto de esta Tesis es el diseño, programación e integración del Módulo de Preprocesado de Datos del Sistema Read Out Driver (ROD) dentro de los trabajos que se están realizando en el Laboratorio Europeo de Física de Partículas (CERN). Se trata de un paso definitivo para la puesta en marcha de este sistema que se instalará en el detector ATLAS dentro del acelerador de partículas (LHC) que se está terminando de construir en el CERN. Este Sistema ROD forma parte del sistema de...

  12. Integrator based readout in Tile Calorimeter of the ATLAS experiment

    CERN Document Server

    Gonzalez Parra, G

    2012-01-01

    TileCal is the hadronic tile calorimeter of the ATLAS experiment at LHC/CERN. To equalize the response of individual TileCal cells with a precision better than 1 % and to monitor the response of each cell over time, a calibration and monitoring system based on a Cs137 radioactive source driven through the calorimeter volume by liquid flow has been implemented. This calibration system relies on dedicated readout chain based on a slow integrators that read currents from the TileCal photomultipliers integrating over milliseconds during the calibration runs. Moreover, during the LHC collisions the TileCal integrator based readout provides the signal coming from inelastic proton- proton collisions at low momentum transfer (MB) which is used to monitor ATLAS instantaneously luminosity and to continuously monitor the response of all calorimeter cells during data-taking.

  13. The TileCal Online Energy Estimation for the Next LHC Operation Period

    Science.gov (United States)

    Sotto-Maior Peralva, B.; ATLAS Collaboration

    2015-05-01

    The ATLAS Tile Calorimeter (TileCal) is the detector used in the reconstruction of hadrons, jets and missing transverse energy from the proton-proton collisions at the Large Hadron Collider (LHC). It covers the central part of the ATLAS detector (|η| particles is read out by approximately 5,000 cells, with double readout channels. The signal provided by the readout electronics for each channel is digitized at 40 MHz and its amplitude is estimated by an optimal filtering algorithm, which expects a single signal with a well-defined shape. However, the LHC luminosity is expected to increase leading to pile-up that deforms the signal of interest. Due to limited resources, the current hardware setup, which is based on Digital Signal Processors (DSP), does not allow the implementation of sophisticated energy estimation methods that deal with the pile-up. Therefore, the technique to be employed for online energy estimation in TileCal for next LHC operation period must be based on fast filters such as the Optimal Filter (OF) and the Matched Filter (MF). Both the OF and MF methods envisage the use of the background second order statistics in its design, more precisely the covariance matrix. However, the identity matrix has been used to describe this quantity. Although this approximation can be valid for low luminosity LHC, it leads to biased estimators under pile- up conditions. Since most of the TileCal cell present low occupancy, the pile-up, which is often modeled by a non-Gaussian distribution, can be seen as outlier events. Consequently, the classical covariance matrix estimation does not describe correctly the second order statistics of the background for the majority of the events, as this approach is very sensitive to outliers. As a result, the OF (or MF) coefficients are miscalculated leading to a larger variance and biased energy estimator. This work evaluates the usage of a robust covariance estimator, namely the Minimum Covariance Determinant (MCD) algorithm

  14. Study and testing of the photomultipliers of TILECAL calorimeter of ATLAS detector. Search for stop t-tilde{sub 1} with ATLAS detector; Etude et caracterisation des photomultiplicateurs du calorimetre a tuiles scintillantes d'atlas. Recherche du stop t-tilde{sub 1} avec le detecteur atlas

    Energy Technology Data Exchange (ETDEWEB)

    Hebrard, Ch

    1999-11-04

    The first part of this thesis presents the prospective study on the possibility that we observe an excess of event with four light quark jets, two b quark jets and missing transverse energy in comparison with the predictions of standard model. In the frame of the SUperGRAvity (SUGRA) these events are produced by the Stop decay. The results show that it will be possible to observe an excess of events if Stop mass is less than 600 GeV. The second part of this work turns on the design of the photomultipliers which will be used in ATLAS Tile Calorimeter. A huge work of development and optimisation has been done to make R7877 Hamamatsu photomultiplier fitting all the specifications dictating by the detector. The measurements developed to characterize the photomultipliers are discussed. An special effort has been done to understand and solve the problem of instability of R7877 photomultiplier. In the future, Tile calorimeter will be equipped with 10000 photomultipliers, so a test bench has been developed in order to characterize all these photomultipliers. The performances of this test bench are inspected for each type of measurement (amplification, quantum efficiency, collection efficiency, dark current, linearity and stability). The specifications and technical design of this test bench are summarized in annexes. (author)

  15. A prototype for the upgraded readout electronics of TileCal

    CERN Document Server

    Eriksson, D; Bohm, C; Kavianipour, H; Anderson, K; Oreglia, M; Tang, F

    2012-01-01

    Upgrade plans for ATLAS hadronic tile calorimeter (TileCal) include full readout of all data to the counting room. R&amp;D activities at different laboratories target different parts of the upgraded system. We are developing a possible implementation of the future readout electronics to be included in a full functional demonstrator. This must be capable of adapting to each of the three different front-end alternatives. Prototypes of the two PCBs that will be in charge of digitization, control and communication have been developed. The design is redundant and uses FPGAs with fault tolerant firmware for control and protocol conversion. Communication and clock synchronization between on and off detector electronics is implemented via high speed optical links using the GBT protocol.

  16. Integrator based read-out in Tile Calorimeter of the ATLAS experiment

    CERN Document Server

    Gonzalez, G; The ATLAS collaboration

    2011-01-01

    TileCal, the central hadronic calorimeter of the ATLAS experiment at the CERN Large Hadron Collider (LHC), is built of steel and scintillating tiles with redundant readout by optical fibers and uses photomultipliers as photodetectors. It provides measurements for hadrons, jets and missing transverse energy. To equalize the response of individual TileCal cells with a precision better than 1% and to monitor the response of each cell over time, a calibration and monitoring system based on a Cesium 137 radioactive source driven through the calorimeter volume by liquid flow has been implemented. This calibration system relies on dedicated readout chain based on slow integrators that read currents from the TileCal photomultipliers averaged over milliseconds during the calibration runs. During the LHC collisions the TileCal integrator based readout provides monitoring of the beam conditions and of the stability of the TileCal optics, including stability of the photomultiplier gains. The work to be presented will foc...

  17. On the Challenge of Keeping ATLAS Tile Calorimeter Raw Data

    CERN Document Server

    Tsiskaridze, V; The ATLAS collaboration

    2011-01-01

    The Tile Calorimeter (TileCal) for the ATLAS experiment at the CERN Large Hadron Collider (LHC) is currently taking data with proton-proton collisions. The TileCal front-end electronics allows to read out the signals produced by about 10000 channels measuring energies ranging from ~30 MeV to ~2 TeV. The read-out system was initially designed to reconstruct the data in real-time and to store for each channel the signal amplitude, time and quality factor at the required high rate. This approach implied discarding 80% of the pulse signals raw data. Practical experience operating in this scheme with increasing rate have led to several modifications and understanding that some kind of data compression is helpful during data processing and storing. It becomes clear that the increasing luminosity and energy of the LHC will pose more and more challenging conditions to the signal reconstruction. An alternate approach is to use online reconstruction for Level2 triggering only and to implement the data flow lossless co...

  18. ATLAS TileCal Submodule Production Photos (2001)

    CERN Multimedia

    Errede, S.

    2001-01-01

    Photo 1 - Dirty Spacers Photo 2 - Washing Plates Photo 3 - Throw Photo 4 - Catch Photo 5 - Mascot Photo 6 - Glue Machine Photo 7 - Gluing Photo 8 - Finished submodule Photo 9 - Submodule being final welded Photo 10 - Paint tank Photo 11 - Submodule is wrapped Photo 12 - Exhaustion

  19. Performance of the ATLAS hadronic Tile calorimeter

    CERN Document Server

    Bartos, Pavol; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) of the ATLAS experiment at the LHC is the central hadronic calorimeter designed for energy reconstruction of hadrons, jets, tau-particles and missing transverse energy. TileCal is a scintillator-steel sampling calorimeter and it covers the region of pseudorapidity < 1.7. The scintillation light produced in the scintillator tiles is transmitted to photomultiplier tubes (PMTs). Signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. Each stage of the signal production from scintillation light to the signal reconstruction is monitored and calibrated. Results on the calorimeter operation and performance are presented, including the calibration, stability, absolute energy scale, uniformity and time resolution. These results show that the TileCal performance is within the design requirements and has given essential contribution to reconstructed objects and physics results.

  20. Tilecal towards the Installation at Cruise Speed

    CERN Multimedia

    Miralles, Ll

    Over the last month the Tile Calorimeter has made a major step in its way towards its assembly in ATLAS. Late February the final EndCap supports were installed and the load (200 Tn) transferred from the assembly cradle to the supports. By mid-March, 32 Endcap modules, 50% of the total with a weight of 350 Tn were pre-assembled in bldg. 185 at CERN. At this stage the assembly is inside its geometrical envelope and the tooling and procedures have been developed. The ATLAS Tile Calorimeter is composed of 3 cylinders ("barrels") of steel, scintillating tiles and optical fibers, altogether about 12 m long, with an outer diameter of 8.4 m, inner diameter of 4.5 m and weighing about 2800 tons. The central cavity will contain the Liquid Argon cryostats, and the whole calorimetry system will measure the direction and energy of jets produced at the LHC, as well as the missing transverse energy, which - as everyone knows - is one of the telltale signals of new and exciting physics. Each of the three cylinders is divid...

  1. Large TileCal magnetic field simulation

    International Nuclear Information System (INIS)

    The ATLAS magnetic field map has been estimated in the presence of the hadron tile calorimeter. This is an important issue in order to quantify the needs for individual PMT shielding, the effect on the scintillator light yield and its implications on the calibration. The field source is based on a central solenoid and 8 superconducting air-core toroidal coils. The maximum induction value in the scintillating tiles does not exceed 6 mT. When an iron plate is used to close the open drawer window the field inside the PMT near to the extended barrel edge does not exceed 0.6 mT. Estimation of ponder motive force distribution, acting on individual units of the system was performed. VF electromagnetic software OPERA-TOSCA and CERN POISCR code were used for the field simulation of the system. 10 refs., 4 figs

  2. Simulation and validation of the ATLAS Tile Calorimeter response

    CERN Document Server

    Karpov, S N; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems.

  3. The Atlas Tile hadronic calorimeter response to pions and protons

    International Nuclear Information System (INIS)

    The improvement of the calorimeter resolution with the increase of energy is the main motivation for the major role played by calorimeters in LHC experiments. The hadronic Atlas-Tilecal calorimeter will measure the energy of jets produced in the central region of Atlas detector, the region of high precision measurements. A comparative analysis of the Tilecal calorimeter response to pions and protons has been done using positron and positive pion beams obtained in the H8 beam line at SPS. The significant amount of protons into the pion beams as well as the amount of pions and protons into the positron beams gave us the possibility to carry out this comparative analysis based on the new data taken with final modules of Tilecal. The separation between pions, protons and positrons has been done using the H8 line Cerenkov Counter as well as the simulation results of Tilecal response with GEANT3 and GEANT4 packages. The previous results obtained with Tilecal prototypes are confirmed by the new data - a higher response for pions as well as a better resolution for protons. For the first time, we have included in our analysis the study of the differences between the longitudinal and lateral profiles of pions and protons. All the results obtained using the experimental data were compared with the predictions of GEANT3 and GEANT4 codes. The final goal of our analysis is to estimate the possibility to use the proton-pion differences in the Tilecal calorimeter response in the identification of Atlas events, taking into account the great complexity of these ones. (author)

  4. ATLAS

    Data.gov (United States)

    Federal Laboratory Consortium — ATLAS is a particle physics experiment at the Large Hadron Collider at CERN, the European Organization for Nuclear Research. Scientists from Brookhaven have played...

  5. Optimal Filtering in the ATLAS Hadronic Tile Calorimeter

    CERN Document Server

    Fullana, E; Castillo, V; Cuenca, C; Ferrer, A; Higón, E; Iglesias, C; Munar, A; Poveda, J; Ruiz-Martinez, A; Salvachúa, B; Solans, C; Teuscher, R; Valls, J

    2005-01-01

    In this paper we present an Optimal Filtering algorithm to reconstruct the energy, time and pedestal of a photomultiplier signal from its digital samples. The optimal filter method is applied in multiply-sampled signals and improves the energy reconstruction by minimizing the impact on resolution of both electronic noise, intrinsic to the calorimeter, and the pile-up which depends on the luminosity. The OF implementation and performance have been studied for the hadronic Tile Calorimeter (TileCal) of the ATLAS detector. The algorithm is tested and compared with other reconstruction algorithms from two different types of data: calibration runs coming from the TileCal Charge Injection System and physics events - pions, electrons and muons - acquired during the testbeam program of the TileCal detector. The results are promising specially in the regions where the electronics noise contributes significantly to the resolution.

  6. ATLAS Tile calorimeter calibration and monitoring systems

    CERN Document Server

    Chomont, Arthur Rene; The ATLAS collaboration

    2016-01-01

    The ATLAS Tile Calorimeter (TileCal) is the central section of the hadronic calorimeter of the ATLAS experiment and provides important information for reconstruction of hadrons, jets, hadronic decays of tau leptons and missing transverse energy. This sampling calorimeter uses steel plates as absorber and scintillating tiles as active medium. The light produced by the passage of charged particles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs), located on the outside of the calorimeter. The readout is segmented into about 5000 cells (longitudinally and transversally), each of them being read out by two PMTs in parallel. To calibrate and monitor the stability and performance of each part of the readout chain during the data taking, a set of calibration systems is used. The TileCal calibration system comprises Cesium radioactive sources, laser and charge injection elements and it allows to monitor and equalize the calorimeter response at each stage of the signal production, from scin...

  7. Radioactive source control and electronics for the ATLAS tile calorimeter cesium calibration system

    CERN Document Server

    Shalanda, N A; Kopikov, S; Shalimov, A; Soldatov, M; Solodkov, A; Starchenko, E A

    2003-01-01

    A system using a radioactive /sup 137/Cs source to calibrate and monitor the Hadron Calorimeter (TileCal) of the ATLAS experiment at the LHC is described. The system includes a set of sensors to monitor the position of the source which moves via hydraulic propulsion. The design of the sensors, the corresponding electronic modules and their performance are detailed. (6 refs).

  8. Characterization of the 10-stages R5900 Hamamatsu photomultipliers for the hadronic ATLAS calorimeter

    Energy Technology Data Exchange (ETDEWEB)

    Montarou, G.; Bouhemaid, N.; Grenier, Ph.; Crouau, M.; Muanza, G.S.; Poirot, S.; Vazeille, F. [Clermont-Ferrand-2 Univ., 63 - Aubiere (France). Lab. de Physique Corpusculaire; Gil Botella, I.; Hoz, S.G. de la [Valencia Univ., Burjassot (Spain) Inst. de Fisica Corpuscular

    1997-12-31

    The measurements carried out, at Clermont on the R5900 Hamamatsu photomultipliers for the ATLAS hadronic calorimeter are summarised. The TILECAL specifications are given. Amplification measurements, dark current measurements, linearity, magnetic sensitivity and the voltage divider optimisation are presented. (K.A.).

  9. Response of TILEC to NMa Consultatiedocument Concentraties Energiemarkten

    International Nuclear Information System (INIS)

    In June 2006, the Dutch Competition Authority, NMa, published the consultation document 'Concentraties Energiemarkten' (Concentration of Energy Markets) and asked interested parties for their comments. By means of this note, TILEC responds to the request of the NMa. The consultation document contains a large set of questions on which the NMa seeks to receive responses, preferably motivated in detail. In many cases, however, meaningful comments can only be made on the basis of more detailed information than what is available in this consultation document. An exception should be made with respect to the issues that are also covered in the Brattle report 'Factors affecting geographic market definition and merger control for the Dutch electricity sector' of June 2006, which was used in the preparation of the consultation document. This is an excellent report, dealing with two important aspects (geographic market definition and the competitive effects of some hypothetical merger scenarios). We support most of the findings of that Report. The NMa consultation document, however, considers a broader set of issues and, for those issues not covered by the Brattle Report, less detailed background information is available. Accordingly, we limit our comments to the main lines of the consultation document.

  10. ATLAS

    CERN Multimedia

    Akhnazarov, V; Canepa, A; Bremer, J; Burckhart, H; Cattai, A; Voss, R; Hervas, L; Kaplon, J; Nessi, M; Werner, P; Ten kate, H; Tyrvainen, H; Vandelli, W; Krasznahorkay, A; Gray, H; Alvarez gonzalez, B; Eifert, T F; Rolando, G; Oide, H; Barak, L; Glatzer, J; Backhaus, M; Schaefer, D M; Maciejewski, J P; Milic, A; Jin, S; Von torne, E; Limbach, C; Medinnis, M J; Gregor, I; Levonian, S; Schmitt, S; Waananen, A; Monnier, E; Muanza, S G; Pralavorio, P; Talby, M; Tiouchichine, E; Tocut, V M; Rybkin, G; Wang, S; Lacour, D; Laforge, B; Ocariz, J H; Bertoli, W; Malaescu, B; Sbarra, C; Yamamoto, A; Sasaki, O; Koriki, T; Hara, K; Da silva gomes, A; Carvalho maneira, J; Marcalo da palma, A; Chekulaev, S; Tikhomirov, V; Snesarev, A; Buzykaev, A; Maslennikov, A; Peleganchuk, S; Sukharev, A; Kaplan, B E; Swiatlowski, M J; Nef, P D; Schnoor, U; Oakham, G F; Ueno, R; Orr, R S; Abouzeid, O; Haug, S; Peng, H; Kus, V; Vitek, M; Temming, K K; Dang, N P; Meier, K; Schultz-coulon, H; Geisler, M P; Sander, H; Schaefer, U; Ellinghaus, F; Rieke, S; Nussbaumer, A; Liu, Y; Richter, R; Kortner, S; Fernandez-bosman, M; Ullan comes, M; Espinal curull, J; Chiriotti alvarez, S; Caubet serrabou, M; Valladolid gallego, E; Kaci, M; Carrasco vela, N; Lancon, E C; Besson, N E; Gautard, V; Bracinik, J; Bartsch, V C; Potter, C J; Lester, C G; Moeller, V A; Rosten, J; Crooks, D; Mathieson, K; Houston, S C; Wright, M; Jones, T W; Harris, O B; Byatt, T J; Dobson, E; Hodgson, P; Hodgkinson, M C; Dris, M; Karakostas, K; Ntekas, K; Oren, D; Duchovni, E; Etzion, E; Oren, Y; Ferrer, L M; Testa, M; Doria, A; Merola, L; Sekhniaidze, G; Giordano, R; Ricciardi, S; Milazzo, A; Falciano, S; De pedis, D; Dionisi, C; Veneziano, S; Cardarelli, R; Verzegnassi, C; Soualah, R; Ochi, A; Ohshima, T; Kishiki, S; Linde, F L; Vreeswijk, M; Werneke, P; Muijs, A; Vankov, P H; Jansweijer, P P M; Dale, O; Lund, E; Bruckman de renstrom, P; Dabrowski, W; Adamek, J D; Wolters, H; Micu, L; Pantea, D; Tudorache, V; Mjoernmark, J; Klimek, P J; Ferrari, A; Abdinov, O; Akhoundov, A; Hashimov, R; Shelkov, G; Khubua, J; Ladygin, E; Lazarev, A; Glagolev, V; Dedovich, D; Lykasov, G; Zhemchugov, A; Zolnikov, Y; Ryabenko, M; Sivoklokov, S; Vasilyev, I; Shalimov, A; Lobanov, M; Paramoshkina, E; Mosidze, M; Bingul, A; Nodulman, L J; Guarino, V J; Yoshida, R; Drake, G R; Calafiura, P; Haber, C; Quarrie, D R; Alonso, J R; Anderson, C; Evans, H; Lammers, S W; Baubock, M; Anderson, K; Petti, R; Suhr, C A; Linnemann, J T; Richards, R A; Tollefson, K A; Holzbauer, J L; Stoker, D P; Pier, S; Nelson, A J; Isakov, V; Martin, A J; Adelman, J A; Paganini, M; Gutierrez, P; Snow, J M; Pearson, B L; Cleland, W E; Savinov, V; Wong, W; Goodson, J J; Li, H; Lacey, R A; Gordeev, A; Gordon, H; Lanni, F; Nevski, P; Rescia, S; Kierstead, J A; Liu, Z; Yu, W W H; Bensinger, J; Hashemi, K S; Bogavac, D; Cindro, V; Hoeferkamp, M R; Coelli, S; Iodice, M; Piegaia, R N; Alonso, F; Wahlberg, H P; Barberio, E L; Limosani, A; Rodd, N L; Jennens, D T; Hill, E C; Pospisil, S; Smolek, K; Schaile, D A; Rauscher, F G; Adomeit, S; Mattig, P M; Wahlen, H; Volkmer, F; Calvente lopez, S; Sanchis peris, E J; Pallin, D; Podlyski, F; Says, L; Boumediene, D E; Scott, W; Phillips, P W; Greenall, A; Turner, P; Gwilliam, C B; Kluge, T; Wrona, B; Sellers, G J; Millward, G; Adragna, P; Hartin, A; Alpigiani, C; Piccaro, E; Bret cano, M; Hughes jones, R E; Mercer, D; Oh, A; Chavda, V S; Carminati, L; Cavasinni, V; Fedin, O; Patrichev, S; Ryabov, Y; Nesterov, S; Grebenyuk, O; Sasso, J; Mahmood, H; Polsdofer, E; Dai, T; Ferretti, C; Liu, H; Hegazy, K H; Benjamin, D P; Zobernig, G; Ban, J; Brooijmans, G H; Keener, P; Williams, H H; Le geyt, B C; Hines, E J; Fadeyev, V; Schumm, B A; Law, A T; Kuhl, A D; Neubauer, M S; Shang, R; Gagliardi, G; Calabro, D; Conta, C; Zinna, M; Jones, G; Li, J; Stradling, A R; Hadavand, H K; Mcguigan, P; Chiu, P; Baldelomar, E; Stroynowski, R A; Kehoe, R L; De groot, N; Timmermans, C; Lach-heb, F; Addy, T N; Nakano, I; Moreno lopez, D; Grosse-knetter, J; Tyson, B; Rude, G D; Tafirout, R; Benoit, P; Danielsson, H O; Elsing, M; Fassnacht, P; Froidevaux, D; Ganis, G; Gorini, B; Lasseur, C; Lehmann miotto, G; Kollar, D; Aleksa, M; Sfyrla, A; Duehrssen-debling, K; Fressard-batraneanu, S; Van der ster, D C; Bortolin, C; Schumacher, J; Mentink, M; Geich-gimbel, C; Yau wong, K H; Lafaye, R; Crepe-renaudin, S; Albrand, S; Hoffmann, D; Pangaud, P; Meessen, C; Hrivnac, J; Vernay, E; Perus, A; Henrot versille, S L; Le dortz, O; Derue, F; Piccinini, M; Polini, A; Terada, S; Arai, Y; Ikeno, M; Fujii, H; Nagano, K; Ukegawa, F; Aguilar saavedra, J A; Conde muino, P; Castro, N F; Eremin, V; Kopytine, M; Sulin, V; Tsukerman, I; Korol, A; Nemethy, P; Bartoldus, R; Glatte, A; Chelsky, S; Van nieuwkoop, J; Bellerive, A; Sinervo, J K; Battaglia, A; Barbier, G J; Pohl, M; Rosselet, L; Alexandre, G B; Prokoshin, F; Pezoa rivera, R A; Batkova, L; Kladiva, E; Stastny, J; Kubes, T; Vidlakova, Z; Esch, H; Homann, M; Herten, L G; Zimmermann, S U; Pfeifer, B; Stenzel, H; Andrei, G V; Wessels, M; Buescher, V; Kleinknecht, K; Fiedler, F M; Schroeder, C D; Fernandez, E; Mir martinez, L; Vorwerk, V; Bernabeu verdu, J; Salt, J; Civera navarrete, J V; Bernard, R; Berriaud, C P; Chevalier, L P; Hubbard, R; Schune, P; Nikolopoulos, K; Batley, J R; Brochu, F M; Phillips, A W; Teixeira-dias, P J; Rose, M B D; Buttar, C; Buckley, A G; Nurse, E L; Larner, A B; Boddy, C; Henderson, J; Costanzo, D; Tarem, S; Maccarrone, G; Laurelli, P F; Alviggi, M; Chiaramonte, R; Izzo, V; Palumbo, V; Fraternali, M; Crosetti, G; Marchese, F; Yamaguchi, Y; Hessey, N P; Mechnich, J M; Liebig, W; Kastanas, K A; Sjursen, T B; Zalieckas, J; Cameron, D G; Banka, P; Kowalewska, A B; Dwuznik, M; Mindur, B; Boldea, V; Hedberg, V; Smirnova, O; Sellden, B; Allahverdiyev, T; Gornushkin, Y; Koultchitski, I; Tokmenin, V; Chizhov, M; Gongadze, A; Khramov, E; Sadykov, R; Krasnoslobodtsev, I; Smirnova, L; Kramarenko, V; Minaenko, A; Zenin, O; Beddall, A J; Ozcan, E V; Hou, S; Wang, S; Moyse, E; Willocq, S; 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Mcgarvie, S A; Kilvington, G J; D'auria, S; O'shea, V; Mcglone, H M; Fox, H; Henderson, R; Kartvelishvili, V; Davies, B; Sherwood, P; Fraser, J T; Lancaster, M A; Tseng, J C; Hays, C P; Apolle, R; Dixon, S D; Parker, K A; Gazis, E; Papadopoulou, T; Panagiotopoulou, E; Karastathis, N; Hershenhorn, A D; Milov, A; Groth-jensen, J; Bilokon, H; Miscetti, S; Canale, V; Rebuzzi, D M; Capua, M; Bagnaia, P; De salvo, A; Gentile, S; Safai tehrani, F; Solfaroli camillocci, E; Sasao, N; Tsunada, K; Massaro, G; Magrath, C A; Van kesteren, Z; Beker, M G; Van den wollenberg, W; Bugge, L; Buran, T; Read, A L; Gjelsten, B K; Banas, E A; Turnau, J; Derendarz, D K; Kisielewska, D; Chesneanu, D; Rotaru, M; Maurer, J B; Wong, M L; Lund-jensen, B; Asman, B; Jon-and, K B; Silverstein, S B; Johansen, M; Alexandrov, I; Iatsounenko, I; Krumshteyn, Z; Peshekhonov, V; Rybaltchenko, K; Samoylov, V; Cheplakov, A; Kekelidze, G; Lyablin, M; Teterine, V; Bednyakov, V; Kruchonak, U; Shiyakova, M M; Demichev, M; Denisov, S P; Fenyuk, A; Djobava, T; Salukvadze, G; Cetin, S A; Brau, B P; Pais, P R; Proudfoot, J; Van gemmeren, P; Zhang, Q; Beringer, J A; Ely, R; Leggett, C; Pengg, F X; Barnett, M R; Quick, R E; Williams, S; Gardner jr, R W; Huston, J; Brock, R; Wanotayaroj, C; Unel, G N; Taffard, A C; Frate, M; Baker, K O; Tipton, P L; Hutchison, A; Walsh, B J; Norberg, S R; Su, J; Tsybyshev, D; Caballero bejar, J; Ernst, M U; Wellenstein, H; Vudragovic, D; Vidic, I; Gorelov, I V; Toms, K; Alimonti, G; Petrucci, F; Kolanoski, H; Smith, J; Jeng, G; Watson, I J; Guimaraes ferreira, F; Miranda vieira xavier, F; Araujo pereira, R; Poffenberger, P; Sopko, V; Elmsheuser, J; Wittkowski, J; Glitza, K; Gorfine, G W; Ferrer soria, A; Fuster verdu, J A; Sanchis lozano, A; Reinmuth, G; Busato, E; Haywood, S J; Mcmahon, S J; Qian, W; Villani, E G; Laycock, P J; Poll, A J; Rizvi, E S; Foster, J M; Loebinger, F; Forti, A; Plano, W G; Brown, G J A; Kordas, K; Vegni, G; Ohsugi, T; Iwata, Y; Cherkaoui el moursli, R; Sahin, M; Akyazi, E; Carlsen, A; Kanwal, B; Cochran jr, J H; Aronnax, M V; Lockner, M J; Zhou, B; Levin, D S; Weaverdyck, C J; Grom, G F; Rudge, A; Ebenstein, W L; Jia, B; Yamaoka, J; Jared, R C; Wu, S L; Banerjee, S; Lu, Q; Hughes, E W; Alkire, S P; Degenhardt, J D; Lipeles, E D; Spencer, E N; Savine, A; Cheu, E C; Lampl, W; Veatch, J R; Roberts, K; Atkinson, M J; Odino, G A; Polesello, G; Martin, T; White, A P; Stephens, R; Grinbaum sarkisyan, E; Vartapetian, A; Yu, J; Sosebee, M; Thilagar, P A; Spurlock, B; Bonde, R; Filthaut, F; Klok, P; Hoummada, A; Ouchrif, M; Pellegrini, G; Rafi tatjer, J M; Navarro, G A; Blumenschein, U; Weingarten, J C; Mueller, D; Graber, L; Gao, Y; Bode, A; Capeans garrido, M D M; Carli, T; Wells, P; Beltramello, O; Vuillermet, R; Dudarev, A; Salzburger, A; Torchiani, C I; Serfon, C L G; Sloper, J E; Duperrier, G; Lilova, P T; Knecht, M O; Lassnig, M; Anders, G; Deviveiros, P; Young, C; Sforza, F; Shaochen, C; Lu, F; Wermes, N; Wienemann, P; Schwindt, T; Hansen, P H; Hansen, J B; Pingel, A M; Massol, N; Elles, S L; Hallewell, G D; Rozanov, A; Vacavant, L; Fournier, D A; Poggioli, L; Puzo, P M; Tanaka, R; Escalier, M A; Makovec, N; Rezynkina, K; De cecco, S; Cavalleri, P G; Massa, I; Zoccoli, A; Tanaka, S; Odaka, S; Mitsui, S; Tomasio pina, J A; Santos, H F; Satsounkevitch, I; Harkusha, S; Baranov, S; Nechaeva, P; Kayumov, F; Kazanin, V; Asai, M; Mount, R P; Nelson, T K; Smith, D; Kenney, C J; Malone, C M; Kobel, M; Friedrich, F; Grohs, J P; Jais, W J; O'neil, D C; Warburton, A T; Vincter, M; Mccarthy, T G; Groer, L S; Pham, Q T; Taylor, W J; La marra, D; Perrin, E; Wu, X; Bell, W H; Delitzsch, C M; Feng, C; Zhu, C; Tokar, S; Bruncko, D; Kupco, A; Marcisovsky, M; Jakoubek, T; Bruneliere, R; Aktas, A; Narrias villar, D I; Tapprogge, S; Mattmann, J; Kroha, H; Crespo, J; Korolkov, I; Cavallaro, E; Cabrera urban, S; Mitsou, V; Kozanecki, W; Mansoulie, B; Pabot, Y; Etienvre, A; Bauer, F; Chevallier, F; Bouty, A R; Watkins, P; Watson, A; Faulkner, P J W; Curtis, C J; Murillo quijada, J A; Grout, Z J; Chapman, J D; Cowan, G D; George, S; Boisvert, V; Mcmahon, T R; Doyle, A T; Thompson, S A; Britton, D; Smizanska, M; Campanelli, M; Butterworth, J M; Loken, J; Renton, P; Barr, A J; Issever, C; Short, D; Crispin ortuzar, M; Tovey, D R; French, R; Rozen, Y; Alexander, G; Kreisel, A; Conventi, F; Raulo, A; Schioppa, M; Susinno, G; Tassi, E; Giagu, S; Luci, C; Nisati, A; Cobal, M; Ishikawa, A; Jinnouchi, O; Bos, K; Verkerke, W; Vermeulen, J; Van vulpen, I B; Kieft, G; Mora, K D; Olsen, F; Rohne, O M; Pajchel, K; Nilsen, J K; Wosiek, B K; Wozniak, K W; Badescu, E; Jinaru, A; Bohm, C; Johansson, E K; Sjoelin, J B R; Clement, C; Buszello, C P; Huseynova, D; Boyko, I; Popov, B; Poukhov, O; Vinogradov, V; Tsiareshka, P; Skvorodnev, N; Soldatov, A; Chuguev, A; Gushchin, V; Yazici, E; Lutz, M S; Malon, D; Vanyashin, A; Lavrijsen, W; Spieler, H; Biesiada, J L; Bahr, M; Kong, J; Tatarkhanov, M; Ogren, H; Van kooten, R J; Cwetanski, P; Butler, J M; Shank, J T; Chakraborty, D; Ermoline, I; Sinev, N; Whiteson, D O; Corso radu, A; Huang, J; Werth, M P; Kastoryano, M; Meirose da silva costa, B; Namasivayam, H; Hobbs, J D; Schamberger jr, R D; Guo, F; Potekhin, M; Popovic, D; Gorisek, A; Sokhrannyi, G; Hofsajer, I W; Mandelli, L; Ceradini, F; Graziani, E; Giorgi, F; Zur nedden, M E G; Grancagnolo, S; Volpi, M; Nunes hanninger, G; Rados, P K; Milesi, M; Cuthbert, C J; Black, C W; Fink grael, F; Fincke-keeler, M; Keeler, R; Kowalewski, R V; Berghaus, F O; Qi, M; Davidek, T; Tas, P; Jakubek, J; Duckeck, G; Walker, R; Mitterer, C A; Harenberg, T; Sandvoss, S A; Del peso, J; Llorente merino, J; Gonzalez millan, V; Irles quiles, A; Crouau, M; Gris, P L Y; Liauzu, S; Romano saez, S M; Gallop, B J; Jones, T J; Austin, N C; Morris, J; Duerdoth, I; Thompson, R J; Kelly, M P; Leisos, A; Garas, A; Pizio, C; Venda pinto, B A; Kudin, L; Qian, J; Wilson, A W; Mietlicki, D; Long, J D; Sang, Z; Arms, K E; Rahimi, A M; Moss, J J; Oh, S H; Parker, S I; Parsons, J; Cunitz, H; Vanguri, R S; Sadrozinski, H; Lockman, W S; Martinez-mc kinney, G; Goussiou, A; Jones, A; Lie, K; Hasegawa, Y; Olcese, M; Gilewsky, V; Harrison, P F; Janus, M; Spangenberg, M; De, K; Ozturk, N; Pal, A K; Darmora, S; Bullock, D J; Oviawe, O; Derkaoui, J E; Rahal, G; Sircar, A; Frey, A S; Stolte, P; Rosien, N; Zoch, K; Li, L; Schouten, D W; Catinaccio, A; Ciapetti, M; Delruelle, N; Ellis, N; Farthouat, P; Hoecker, A; Klioutchnikova, T; Macina, D; Malyukov, S; Spiwoks, R D; Unal, G P; Vandoni, G; Petersen, B A; Pommes, K; Nairz, A M; Wengler, T; Mladenov, D; Solans sanchez, C A; Lantzsch, K; Schmieden, K; Jakobsen, S; Ritsch, E; Sciuccati, A; Alves dos santos, A M; Ouyang, Q; Zhou, M; Brock, I C; Janssen, J; Katzy, J; Anders, C F; Nilsson, B S; Bazan, A; Di ciaccio, L; Yildizkaya, T; Collot, J; Malek, F; Trocme, B S; Breugnon, P; Godiot, S; Adam bourdarios, C; Coulon, J; Duflot, L; Petroff, P G; Zerwas, D; Lieuvin, M; Calderini, G; Laporte, D; Ocariz, J; Gabrielli, A; Ohska, T K; Kurochkin, Y; Kantserov, V; Vasilyeva, L; Speransky, M; Smirnov, S; Antonov, A; Bulekov, O; Tikhonov, Y; Sargsyan, L; Vardanyan, G; Budick, B; Kocian, M L; Luitz, S; Young, C C; Grenier, P J; Kelsey, M; Black, J E; Kneringer, E; Jussel, P; Horton, A J; Beaudry, J; Chandra, A; Ereditato, A; Topfel, C M; Mathieu, R; Bucci, F; Muenstermann, D; White, R M; He, M; Urban, J; Straka, M; Vrba, V; Schumacher, M; Parzefall, U; Mahboubi, K; Sommer, P O; Koepke, L H; Bethke, S; Moser, H; Wiesmann, M; Walkowiak, W A; Fleck, I J; Martinez-perez, M; Sanchez sanchez, C A; Jorgensen roca, S; Accion garcia, E; Sainz ruiz, C A; Valls ferrer, J A; Amoros vicente, G; Vives torrescasana, R; Ouraou, A; Formica, A; Hassani, S; Watson, M F; Cottin buracchio, G F; Bussey, P J; Saxon, D; Ferrando, J E; Collins-tooth, C L; Hall, D C; Cuhadar donszelmann, T; Dawson, I; Duxfield, R; Argyropoulos, T; Brodet, E; Livneh, R; Shougaev, K; Reinherz, E I; Guttman, N; Beretta, M M; Vilucchi, E; Aloisio, A; Patricelli, S; Caprio, M; Cevenini, F; De vecchi, C; Livan, M; Rimoldi, A; Vercesi, V; Ayad, R; Mastroberardino, A; Ciapetti, G; Luminari, L; Rescigno, M; Santonico, R; Salamon, A; Del papa, C; Kurashige, H; Homma, Y; Tomoto, M; Horii, Y; Sugaya, Y; Hanagaki, K; Bobbink, G; Kluit, P M; Koffeman, E N; Van eijk, B; Lee, H; Eigen, G; Dorholt, O; Strandlie, A; Strzempek, P B; Dita, S; Stoicea, G; Chitan, A; Leven, S S; Moa, T; Brenner, R; Ekelof, T J C; Olshevskiy, A; Roumiantsev, V; Chlachidze, G; Zimine, N; Gusakov, Y; Grigalashvili, N; Mineev, M; Potrap, I; Barashkou, A; Shoukavy, D; Shaykhatdenov, B; Pikelner, A; Gladilin, L; Ammosov, V; Abramov, A; Arik, M; Sahinsoy, M; Uysal, Z; Azizi, K; Hotinli, S C; Zhou, S; Berger, E; Blair, R; Underwood, D G; Einsweiler, K; Garcia-sciveres, M A; Siegrist, J L; Kipnis, I; Dahl, O; Holland, S; Barbaro galtieri, A; Smith, P T; Parua, N; Franklin, M; Mercurio, K M; Tong, B; Pod, E; Cole, S G; Hopkins, W H; Guest, D H; Severini, H; Marsicano, J J; Abbott, B K; Wang, Q; Lissauer, D; Ma, H; Takai, H; Rajagopalan, S; Protopopescu, S D; Snyder, S S; Undrus, A; Popescu, R N; Begel, M A; Blocker, C A; Amelung, C; Mandic, I; Macek, B; Tucker, B H; Citterio, M; Troncon, C; Orestano, D; Taccini, C; Romeo, G L; Dova, M T; Taylor, G N; Gesualdi manhaes, A; Mcpherson, R A; Sobie, R; Taylor, R P; Dolezal, Z; Kodys, P; Slovak, R; Sopko, B; Vacek, V; Sanders, M P; Hertenberger, R; Meineck, C; Becks, K; Kind, P; Sandhoff, M; Cantero garcia, J; De la torre perez, H; Castillo gimenez, V; Ros, E; Hernandez jimenez, Y; Chadelas, R; Santoni, C; Washbrook, A J; O'brien, B J; Wynne, B M; Mehta, A; Vossebeld, J H; Landon, M; Teixeira dias castanheira, M; Cerrito, L; Keates, J R; Fassouliotis, D; Chardalas, M; Manousos, A; Grachev, V; Seliverstov, D; Sedykh, E; Cakir, O; Ciftci, R; Edson, W; Prell, S A; Rosati, M; Stroman, T; Jiang, H; Neal, H A; Li, X; Gan, K K; Smith, D S; Kruse, M C; Ko, B R; Leung fook cheong, A M; Cole, B; Angerami, A R; Greene, Z S; Kroll, J I; Van berg, R P; Forbush, D A; Lubatti, H; Raisher, J; Shupe, M A; Wolin, S; Oshita, H; Gaudio, G; Das, R; Konig, A C; Croft, V A; Harvey, A; Maaroufi, F; Melo, I; Greenwood jr, Z D; Shabalina, E; Mchedlidze, G; Drechsler, E; Rieger, J K; Blackston, M; Colombo, T

    2002-01-01

    % ATLAS \\\\ \\\\ ATLAS is a general-purpose experiment for recording proton-proton collisions at LHC. The ATLAS collaboration consists of 144 participating institutions (June 1998) with more than 1750~physicists and engineers (700 from non-Member States). The detector design has been optimized to cover the largest possible range of LHC physics: searches for Higgs bosons and alternative schemes for the spontaneous symmetry-breaking mechanism; searches for supersymmetric particles, new gauge bosons, leptoquarks, and quark and lepton compositeness indicating extensions to the Standard Model and new physics beyond it; studies of the origin of CP violation via high-precision measurements of CP-violating B-decays; high-precision measurements of the third quark family such as the top-quark mass and decay properties, rare decays of B-hadrons, spectroscopy of rare B-hadrons, and $ B ^0 _{s} $-mixing. \\\\ \\\\The ATLAS dectector, shown in the Figure includes an inner tracking detector inside a 2~T~solenoid providing an axial...

  11. Performance of the ATLAS hadronic Tile calorimeter

    CERN Document Server

    Bartos, Pavol; The ATLAS collaboration

    2016-01-01

    Performance of the ATLAS hadronic Tile calorimeter The Tile Calorimeter (TileCal) of the ATLAS experiment at the LHC is the central hadronic calorimeter designed for energy reconstruction of hadrons, jets, tau-particles and missing transverse energy. TileCal is a scintillator-steel sampling calorimeter and it covers the region of pseudorapidity < 1.7. The scintillation light produced in the scintillator tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The analog signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The TileCal frontend electronics reads out the signals produced by about 10000 channels measuring energies ranging from ~30 MeV to ~2 TeV. Each stage of the signal production from scintillation light to the signal reconstruction is monitored and calibrated. The performance of the calorimeter have been studied in-situ employing cosmic ray muons and a large sample of proton-proton collisions acquired during the operations o...

  12. The ATLAS Tile Calorimeter, its performance with pp collisions and its upgrades for high luminosity LHC

    CERN Document Server

    Davidek, Tomas; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the central hadronic calorimeter of the ATLAS experiment at the LHC. Jointly with the other calorimeters it is designed for reconstruction of hadrons, jets, tau-particles and missing transverse energy. It also assists in the muon identification.  A summary of the upgrades and performance results for TileCal using pp collisions from the initial LHC Run II at 13 TeV will be presented. For the high luminosity era a major upgrade of the TileCal electronics is planned, and the ongoing developments for on- and off-detector systems, together with expected performance characteristics and recent beam tests of prototypes, will be described.

  13. A new read-out architecture for the ATLAS Tile Calorimeter Phase-II Upgrade

    CERN Document Server

    Valero, Alberto; The ATLAS collaboration

    2015-01-01

    TileCal is the Tile hadronic calorimeter of the ATLAS experiment at the LHC. The LHC has planned a series of upgrades culminating in the High Luminosity LHC (HL-LHC) which will increase of order five times the LHC nominal instantaneous luminosity. TileCal will undergo an upgrade to accommodate to the HL-LHC parameters. The TileCal read-out electronics will be redesigned introducing a new read-out strategy. The data generated in the detector will be transferred to the new Read-Out Drivers (sRODs) located in off-detector for every bunch crossing before any event selection is applied. Furthermore, the sROD will be responsible of providing preprocessed trigger information to the ATLAS first level of trigger. It will implement pipeline memories to cope with the latencies and rates specified in the new trigger schema and in overall it will represent the interface between the data acquisition, trigger and control systems and the on-detector electronics. The new TileCal read-out architecture will be presented includi...

  14. Upgrade of the ATLAS Tile Calorimeter

    CERN Document Server

    Reed, Robert; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the main hadronic calorimeter covering the central region of the ATLAS experiment at LHC. TileCal readout consists of about 10000 channels. The bulk of its upgrade will occur for the High Luminosity LHC operation (Phase 2 around 2023) where the peak luminosity will increase 5x compared to the design luminosity (10^{34} cm^{-2}s^{-1}) but with maintained energy (i.e. 7+7 TeV). The TileCal upgrade aims to replace the majority of the on- and off-detector electronics so that all calorimeter signals can be digitized and directly sent to the off-detector electronics in the counting room. This will reduce pile-up problems and allow more complex trigger algorithms. To achieve the required reliability, redundancy has been introduced at different levels. Three different options are presently being investigated for the front-end electronic upgrade. Extensive test beam studies will determine which option will be selected. 10 Gbps optical links are used to read out all digitized data to t...

  15. Performance of the ATLAS Tile calorimeter

    CERN Document Server

    Bertoli, Gabriele; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter (TileCal) of the ATLAS experiment at the LHC is the central hadronic calorimeter designed for energy reconstruction of hadrons, jets, tau­particles and missing transverse energy. TileCal is a scintillator­steel sampling calorimeter and it covers the region of pseudorapidity < 1.7. The scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The analog signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The TileCal front­end electronics read out the signals produced by about 10000 channels measuring energies ranging from ~30 MeV to ~2 TeV. The read­out system is responsible for reconstructing the data in real­time. The digitized signals are reconstructed with the Optimal Filtering algorithm, which computes for each channel the signal amplitude, time and quality factor at the required high rate. Each stage of the signal production from scintillation light to the signal reconstruc...

  16. The ATLAS Tile Calorimeter

    CERN Document Server

    Henriques Correia, Ana Maria

    2015-01-01

    TileCal is the Hadronic calorimeter covering the most central region of the ATLAS experiment at the LHC. It uses iron plates as absorber and plastic scintillating tiles as the active material. Scintillation light produced in the tiles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs). The resulting electronic signals from the approximately 10000 PMTs are measured and digitised every 25 ns before being transferred to off-detector data-acquisition systems. This contribution will review in a first part the performances of the calorimeter during run 1, obtained from calibration data, and from studies of the response of particles from collisions. In a second part it will present the solutions being investigated for the ongoing and future upgrades of the calorimeter electronics.

  17. FPGA Implementation of Optimal Filtering Algorithm for TileCal ROD System

    CERN Document Server

    Torres, J; Castillo, V; Cuenca, C; Ferrer, A; Fullana, E; González, V; Higón, E; Poveda, J; Ruiz-Martinez, A; Salvachúa, B; Sanchis, E; Solans, C; Valero, A; Valls, J A

    2008-01-01

    Traditionally, Optimal Filtering Algorithm has been implemented using general purpose programmable DSP chips. Alternatively, new FPGAs provide a highly adaptable and flexible system to develop this algorithm. TileCal ROD is a multi-channel system, where similar data arrives at very high sampling rates and is subject to simultaneous tasks. It include different FPGAs with high I/O and with parallel structures that provide a benefit at a data analysis. The Optical Multiplexer Board is one of the elements presents in TileCal ROD System. It has FPGAs devices that present an ideal platform for implementing Optimal Filtering Algorithm. Actually this algorithm is performing in the DSPs included at ROD Motherboard. This work presents an alternative to implement Optimal Filtering Algorithm.

  18. The ATLAS Tile Calorimeter, its performance with 13~TeV proton-proton collisions, and its upgrades for the high luminosity LHC

    CERN Document Server

    Davidek, Tomas; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the central hadronic calorimeter of the ATLAS experiment at the LHC. Jointly with the other calorimeters it is designed for reconstruction of hadrons, jets, tau-particles and missing transverse energy. It also assists in the muon identification. A summary of the upgrades and performance results for TileCal using pp collisions from the initial LHC Run II at 13~TeV will be presented. For the high luminosity era a major upgrade of the TileCal electronics is planned, and the ongoing developments for on- and off-detector systems, together with expected performance characteristics and recent beam tests of prototypes, will be described.

  19. Calibration of the Tile Hadronic Calorimeter of ATLAS at LHC

    CERN Document Server

    Boumediene, D

    2015-01-01

    The TileCal is the hadronic calorimeter covering the most central region of the ATLAS experiment at LHC. It is a sampling calorimeter with iron plates as absorber and plastic scintillating tiles as the active material. The scintillation light produced by the passage of charged particles is transmitted by wavelength shifting fibers to about 10000 photomultiplier tubes (PMTs). Integrated to the calorimeter, there is a composite device that allows to monitor and/or equalize the signals at various stages of their formation. This device is based on signal generation from different sources: radioactive, Laser, charge injection and minimum bias events produced in proton-proton collisions. Recent performances of these systems as well TileCal calibration stability are presented.

  20. Calibration and Performance of the ATLAS Tile Calorimeter

    CERN Document Server

    Peralva, B S; The ATLAS collaboration

    2013-01-01

    TileCal is the hadronic calorimeter covering the most central region of the ATLAS experiment at the LHC. It is a key detector for the measurement of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems. The calorimeter response is monitored to better than 1% using radioactive source, laser, and charge injection systems. This multi-faceted calibration system allows to monitor and equalize the calorimeter response at each stage of the signal production, from scintillation light to digitization. This contribution presents a brief description of the different TileCal calibration systems as well as the latest results on their performance in terms of calibration factors, linearity and stability. The performance of the Tile Calorimeter with...

  1. The Monitoring and Calibration Web Systems for the ATLAS Tile Calorimeter Data Quality Analysis

    CERN Document Server

    Sivolella, A; The ATLAS collaboration; Ferreira, F

    2012-01-01

    The Tile Calorimeter (TileCal), one of the ATLAS detectors, has four partitions, where each one contains 64 modules and each module has up to 48 PhotoMulTipliers (PMTs), totalizing more than 10,000 electronic channels. The Monitoring and Calibration Web System (MCWS) supports data quality analyses at channels level. This application was developed to assess the detector status and verify its performance, presenting the problematic known channels list from the official database that stores the detector conditions data (COOL). The bad channels list guides the data quality validator during analyses in order to identify new problematic channels. Through the system, it is also possible to update the channels list directly in the COOL database. MCWS generates results, as eta-phi plots and comparative tables with masked channels percentage, which concerns TileCal status, and it is accessible by all ATLAS collaboration. Annually, there is an intervention on LHC (Large Hadronic Collider) when the detector equipments (P...

  2. Performance of the Tile PreProcessor Demonstrator for the ATLAS Tile Calorimeter Phase II Upgrade

    CERN Document Server

    Carrio Argos, Fernando; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter PreProcessor (TilePPr) demonstrator is a high performance double AMC board based on FPGA resources and QSFP modules. This board has been designed in the framework of the ATLAS Tile Calorimeter (TileCal) Demonstrator Project for the Phase II Upgrade as the first stage of the back-end electronics. The TilePPr demonstrator has been conceived for receiving and processing the data coming from the front-end electronics of the TileCal Demonstrator module, as well as for configuring it. Moreover, the TilePPr demonstrator handles the communication with the Detector Control System to monitor and control the front-end electronics. The TilePPr demonstrator represents 1/8 of the final TilePPr that will be designed and installed into the detector for the ATLAS Phase II Upgrade.

  3. A public program to get the magnetic field of ATLAS in any point 001

    CERN Document Server

    Nikitina, T

    2003-01-01

    This note presents a fortran 90 public program which gives the magnetic field of the ATLAS detector in an arbitrary point. In the tilecal the user has the possibility to obtain a global (averaged) field or a local field (individual tiles are visible). The contribution of all coils is included. The model used for the calculation is described in note ATL-MAGNET-2001-02.

  4. The Monitoring and Calibration Web Systems for the ATLAS Tile Calorimeter Data Quality Analysis

    Science.gov (United States)

    Sivolella, A.; Maidantchik, C.; Ferreira, F.

    2012-12-01

    The Tile Calorimeter (TileCal) is one of the ATLAS sub-detectors. The read-out is performed by about 10,000 PhotoMultiplier Tubes (PMTs). The signal of each PMT is digitized by an electronic channel. The Monitoring and Calibration Web System (MCWS) supports the data quality analysis of the electronic channels. This application was developed to assess the detector status and verify its performance. It can provide to the user the list of TileCal known problematic channels, that is stored in the ATLAS condition database (COOL DB). The bad channels list guides the data quality validator in identifying new problematic channels and is used in data reconstruction and the system allows to update the channels list directly in the COOL database. MCWS can generate summary results, such as eta-phi plots and comparative tables of the masked channels percentage. Regularly, during the LHC (Large Hadron Collider) shutdown a maintenance of the detector equipments is performed. When a channel is repaired, its calibration constants stored in the COOL database have to be updated. Additionally MCWS system manages the update of these calibration constants values in the COOL database. The MCWS has been used by the Tile community since 2008, during the commissioning phase, and was upgraded to comply with ATLAS operation specifications. Among its future developments, it is foreseen an integration of MCWS with the TileCal control Web system (DCS) in order to identify high voltage problems automatically.

  5. ATLAS TileCal Sub-Module Production at UIUC - Production Submodule Photos (current)

    CERN Multimedia

    Errede, Steve

    2000-01-01

    Step 1 - Washing Plates Photo 1 - Spacers in their original box straight from the Czech Republic.. notice the large amounts of grease. Photo 2 - Spacers on the table ready to be washed. Photo 3 - Photo 3 - Scrubbing the grease off with Alconox

  6. ATLAS TileCal Sub-Module Production at UIUC - Photos of Current PMT Test Setup

    CERN Multimedia

    Errede, Steve

    2001-01-01

    Photo 1 - View of the PC, Electronics Rack and PMT Dark Box Photo 2 - Another View of the PC, Electronics Rack and PMT Dark Box. Photo 3 - Overhead shot of PMT Grid inside PMT Dark Box. Photo 4 - View of inside of PMT Light Box.

  7. Radiation tolerance and mitigation strategies for FPGA:s in the ATLAS TileCal Demonstrator

    CERN Document Server

    Akerstedt, H; The ATLAS collaboration

    2013-01-01

    During 2014, demonstrator electronics will be installed in a Tile calorimeter "drawer" to get long term experience with the inherently redundant electronics proposed for a full upgrade scheduled for 2022. The new system, being FPGA-based, uses dense programmable logic which must be proven to be sufficently radiation tolerant. It must be protected against radiation induced single event upsets that corrupt memory and logic functions. Radiation induced errors need to be found and compensated for in time, to minimize data loss but also to avoid permanent damage. Strategies for detecting and correcting radiation induced errors in the Kintex-7 FPGA:s of the demonstrator are evaluated and discussed.

  8. Radiation tolerance and mitigation strategies for FPGA:s in the ATLAS TileCal Demonstrator

    CERN Document Server

    Akerstedt, H; The ATLAS collaboration; Drake, G; Muschter, S; Oreglia, M; Tang, F; Anderson, K; Paramonov, A

    2013-01-01

    During 2014, upgrade-demonstrator electronics will be installed in a Tile calorimeter drawer to obtain long term experience with the inherently redundant electronics proposed for a full upgrade scheduled for 2022. The new, FPGA-based system uses dense programmable logic, which must be proven to be sufficiently radiation tolerant. It must also be protected against radiation induced single event upsets that can corrupt memory and logic Radiation induced errors need to be found and compensated for in time to minimize data loss, and also to avoid permanent damage. Strategies for detecting and correcting radiation induced errors in the Kintex-7 FPGAs on the demonstrator electronics are evaluated and discussed.

  9. ATLAS TileCal Sub-Module Production at UIUC - Photos of Prototype PMT Test Setup

    CERN Multimedia

    Errede, Steve

    2001-01-01

    Photo 1 - Entrance to the lab. Photo 2 - A shot of the center of the lab. Photo 3 - The back of the lab. The Dark Box: Photo 4 - A view of the outside of the Dark Box along with its dry nitrogen system. Photo 5 - A view of the inside of the Dark Box. Photo 6 - The LED holder, beam splitter (removed in this shot), and a pulsing circuit. Photo 7 - The PMT holder. Photo 8 - A possible design for a Stepper Motor controlled filter wheel. Photo 9 - Polishing area for the optical fibers. R&D Work on Stepper Motor/Motion Control: Photo 10 - The complete prototype of the Stepper Motor setup. Photo 11 - The prototype of the Main Stepper Motor Driver Board. Photo 12 - The prototype of the Stepper Motor Power Amplifer. Photo 13 - The prototype of the Stepper Motor LabPC + Interface Board.

  10. ATLAS TileCal Sub-Module Production at UIUC - Production Submodule Photos (current)

    CERN Multimedia

    Errede, Steve

    2000-01-01

    Step 7 - Painting Photo 14 - The paint we use is toxic and also settles very quickly, so it must be stirred before every use. Another great product from the Czech Republic. Photo 15 - We even use a motor to stir up the paint. Photo 16 - This is where we paint our Submodules with the "rust proof" paint. Photo 17 - This is a Submodule waiting to be painted in the tank. Photo 18 - Here Dave grinds off excess paint from the end of the Submodule. Photo 19 - Heres what happens to the steel after being painted. Photo 20 - The paint appears to be chaotic in the confined space of .004 inches.

  11. ATLAS TileCal Sub-Module Production at UIUC - Production Sub-Module Fabrication Photos

    CERN Multimedia

    Errede, Steve

    2000-01-01

    Step 6 - Quality Control Photo 12a - Using a Digital Vernier Caliper, we make sure the bolt holes are within the allotted distances. Photo 12 - We use a Cylindrical Square to make sure the sides are perpendicular. Photo 13 - We use 2 different kinds of slot checkers, one that checks the width of the slots, and one that checks the height of the slots.

  12. On the development of the final optical multiplexer board prototype for the TileCal experiment

    CERN Document Server

    González, V; Torres, J; Soret, J; Castelo, J; Castillo, V; Cuenca, C; Ferrer, A; Fullana, E; Higón, E; Munar, A; Poveda, J; Ruíz, A; Salvachúa, B; Solans, C; Valero, A; Valls, J A

    2007-01-01

    This paper describes the architecture of the final optical multiplexer board for the TileCal experiment. The results of the first VME 6U prototype have led to the definition of the final block diagram and functionality of this prototype. Functional description of constituent blocks and the state of the work currently undergoing at the Department of Electronic Engineering, in collaboration with IFIC-Valencia, is presented. As no board is yet produced, no experimental results are presented but, nevertheless, design issues that have been taking into account as component placement and signal integrity issues will be detailed.

  13. Design of a new front-end electronics test-bench for the upgraded ATLAS detector's Tile Calorimeter

    Science.gov (United States)

    Kureba, C. O.; Govender, M.; Hofsajer, I.; Ruan, X.; Sandrock, C.; Spoor, M.

    2015-10-01

    The year 2022 has been scheduled to see an upgrade of the Large Hadron Collider (LHC), in order to increase its instantaneous luminosity. The High Luminosity LHC, also referred to as the upgrade Phase-II, means an inevitable complete re-design of the read-out electronics in the Tile Calorimeter (TileCal) of the A Toroidal LHC Apparatus (ATLAS) detector. Here, the new read-out architecture is expected to have the front-end electronics transmit fully digitized information of the detector to the back-end electronics system. Fully digitized signals will allow more sophisticated reconstruction algorithms which will contribute to the required improved triggers at high pile-up. In Phase II, the current Mobile Drawer Integrity ChecKing (MobiDICK) test-bench will be replaced by the next generation test-bench for the TileCal superdrawers, the new Prometeo (A Portable ReadOut ModulE for Tilecal ElectrOnics). Prometeo is a portable, high-throughput electronic system for full certification of the front-end electronics of the ATLAS TileCal. It is designed to interface to the fast links and perform a series of tests on the data to assess the certification of the electronics. The Prometeo's prototype is being assembled by the University of the Witwatersrand and installed at CERN for further developing, tuning and tests. This article describes the overall design of the new Prometeo, and how it fits into the TileCal electronics upgrade.

  14. Optical link card design for the phase II upgrade of TileCal experiment

    CERN Document Server

    Carrio, F; Ferrer, A; Gonzalez, V; Higon, E; Marin, C; Moreno, P; Sanchis, E; Solans, C; Valero, A; Valls, J

    2011-01-01

    This paper presents the design of an optical link card developed in the frame of the R&D activities for the phase 2 upgrade of the TileCal experiment. This board, that is part of the evaluation of different technologies for the final choice in the next years, is designed as a mezzanine that can work independently or be plugged in the optical multiplexer board of the TileCal backend electronics. It includes two SNAP 12 optical connectors able to transmit and receive up to 75 Gb/s and one SFP optical connector for lower speeds and compatibility with existing hardware as the read out driver. All processing is done in a Stratix II GX field-programmable gate array (FPGA). Details are given on the hardware design, including signal and power integrity ana lysis, needed when working with these high data rates and on firmware development to obtain the best performance of the FPGA signal transceivers and for the use of the GBT protocol.

  15. Upgrade of Tile Calorimeter of the ATLAS detector for the High Luminosity LHC.

    CERN Document Server

    Valdes Santurio, Eduardo; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter of ATLAS covering the central region of the ATLAS experiment. TileCal is a sampling calorimeter with steel as absorber and scintillators as active medium. The scintillators are read-out by wavelength shifting fibers coupled to photomultiplier tubes (PMT). The analogue signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The High Luminosity Large Hadron Collider (HL-LHC) will have a peak luminosity of $5 * 10^{34} cm^{-2} s ^{-1} $, five times higher than the design luminosity of the LHC. TileCal will undergo a major replacement of its on- and off-detector electronics for the high luminosity programme of the LHC in 2026. The calorimeter signals will be digitized and sent directly to the off-detector electronics, where the signals are reconstructed and shipped to the first level of trigger at a rate of 40 MHz. This will provide a better precision of the calorimeter signals used by the trigger system and will allo...

  16. ATLAS Tile Calorimeter: simulation and validation of the response

    Science.gov (United States)

    Faltova, Jana; ATLAS Collaboration

    2015-02-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. Scintillation light produced in the tiles is readout by wavelength shifting fibers and transmitted to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being further transferred to off-detector data-acquisition systems. Detailed simulations are described in this contribution, ranging from the implementation of the geometrical elements to the realistic description of the electronics readout pulses, including specific noise treatment and the signal reconstruction. Special attention is given to the improved optical signal propagation and the validation with the real particle data.

  17. ATLAS Tile Calorimeter: simulation and validation of the response

    CERN Document Server

    Faltova, J; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. Scintillation light produced in the tiles is readout by wavelength shifting fibers and transmitted to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being further transferred to off-detector data-acquisition systems. Detailed simulations are described in this contribution, ranging from the implementation of the geometrical elements to the realistic description of the electronics readout pulses, including specific noise treatment and the signal reconstruction. Special attention is given to the improved optical signal propagation and the validation with the real particle data.

  18. The ATLAS Tile Calorimeter performance at LHC in pp collisions at 7 TeV

    CERN Document Server

    Bertolucci, F; The ATLAS collaboration

    2011-01-01

    The Tile Calorimeter (TileCal), the central section of the hadronic calorimeter of the ATLAS experiment, is a key detector component to detect hadrons, jets and taus and to measure the missing transverse energy. Due to the very good muon signal to noise ratio it assists the muon spectrometer in the identification and reconstruction of muons. TileCal is built of steel and scintillating tiles coupled to optical fibers and read out by photomultipliers. The calorimeter is equipped with systems that allow to monitor and to calibrate each stage of the read-out system exploiting different signal sources: laser light, charge injection and a radioactive source. It also uses the minimus bias current integrated over thousands of LHC collisions to monitor the response stability and the LHC luminosity. The performance of the calorimeter has been measured and monitored using calibration data, random triggered data, cosmic muons, splash events and more importantly LHC collision events. The results presented assess the absol...

  19. The ATLAS Tile Calorimeter performance at LHC in pp collisions at 7 TeV

    CERN Document Server

    Bertolucci, F; The ATLAS collaboration

    2012-01-01

    The Tile Calorimeter (TileCal), the central section of the % hadronic calorimeter of the ATLAS % experiment, is a key detector component % to detect hadrons, jets and taus and to % measure the missing transverse energy. % Due to the very good muon signal to noise % ratio it assists the muon % spectrometer in the identification and reconstruction % of muons. ewline %%%% TileCal is built of steel and % scintillating tiles coupled to optical fibers % and read out by photomultipliers. The calorimeter % is equipped with systems that allow to % monitor and to calibrate each stage of the % read-out system exploiting different signal % sources: laser light, charge injection and a radioactive % source. It also uses the Minimum Bias % current integrated over thousands % of LHC collisions to monitor the response % stability and the LHC luminosity.\\ %%%%% The performance of the calorimeter has % been measured and monitored using % calibration data, random triggered data, cosmic % muons, splash events and more importantly...

  20. Development of a digital readout board for the ATLAS Tile Calorimeter upgrade demonstrator

    International Nuclear Information System (INIS)

    During the LHC shutdown in 2013/14, one of the ATLAS scintillating Tile Calorimeter (TileCal) on-detector modules will be replaced with a compatible hybrid demonstrator system. This is being built to fulfill all requirements for the complete upgrade of the TileCal electronics in 2022 but augmented to stay compatible with the present system. We report on the hybrid system's FPGA based communication module that is responsible for receiving and unpacking commands using a 4.8 Gbps downlink and driving a high bandwidth data uplink. The report includes key points like multi-gigabit transmission, clock distribution, programming and operation of the hardware. We also report on a firmware skeleton implementing all these key points and demonstrate how timing, trigger, control and data transmission can be achieved in the demonstrator

  1. Performance of the TilePPr demonstrator for the ATLAS Tile Calorimeter Phase II Upgrade

    CERN Document Server

    Carrio Argos, Fernando; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter Pre-processor (TilePPr) demonstrator is a high performance double AMC board based on FPGA resources and QSFP modules. This board has been designed in the framework of the ATLAS Tile Calorimeter (TileCal) Demonstrator Project for the Phase II Upgrade as the first stage of the off-detector electronics. The TilePPr demonstrator has been conceived for receiving and processing the data coming from the on-detector electronics of the TileCal Demonstrator module, as well as for configuring it. Moreover, the TilePPr demonstrator handles the communication with the Detector Control System to monitor and control the on-detector electronics.

  2. ATLAS Tile Calorimeter HL-LHC Upgrade

    CERN Document Server

    Dandoy, Jeffrey Rogers; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter covering the central region of the ATLAS detector at the LHC. It is a sampling calorimeter consisting of alternating thin steel plates and scintillating tiles.Wavelength shifting fibers coupled to the tiles collect the produced light and are read out by photomultiplier tubes.An analog sum of the processed signal of several photomultipliers serves as input to the first level of trigger.Photomultiplier signals are then digitized and stored on detector and are only transferred off detector once the first trigger acceptance has been confirmed. TileCal will undergo a major replacement of its on- and off-detector electronics for the high luminosity program of the LHC in 2024. All signals are digitized and then transferred directly to the off-detector electronics, where the signals are reconstructed, stored, and sent to the first level of trigger at a rate of 40 MHz. This will provide better precision of the calorimeter signals used by the trigger system and...

  3. Temelin PSA level 2

    International Nuclear Information System (INIS)

    In this paper a brief overview of the performed PSA at Temelin NPP is given. The activities dealing with PSA level 2 update (2002-2003) are listed and the main results are discussed. Based on the obtained results the following conclusions have been made: containment failures 'moved' from 'early' to 'late' categories thanks to SAMG measures (penetration plugs, corium barriers); low frequency of overpressure failures; hydrogen recombiners important both for early and late containment failures; uncertainty of source terms due to insufficient and inconsistent analyses data; one early failure and two bypass scenarios found to be most important from frequency/radiological consequences viewpoint

  4. Calibration of the ATLAS Tile hadronic calorimeter using muons

    CERN Document Server

    van Woerden, M C; The ATLAS collaboration

    2012-01-01

    The ATLAS Tile Calorimeter (TileCal) is the barrel hadronic calorimeter of the ATLAS experiment at the CERN Large Hadron Collider (LHC). It is a sampling calorimeter using plastic scintillator as the active material and iron as the absorber. TileCal , together with the electromagnetic calorimeter, provides precise measurements of hadrons, jets, taus and the missing transverse energy. Cosmic rays muons and muon events produced by scraping 450 GeV protons in one collimator of the LHC machine have been used to test the calibration of the calorimeter. The analysis of the cosmic rays data shows: a) the response of the third longitudinal layer of the Barrel differs from those of the first and second Barrel layers by about 3-4%, respectively and b) the differences between the energy scales of each layer obtained in this analysis and the value set at beam tests using electrons are found to range between -3% and +1%. In the case of the scraping beam data, the responses of all the layer pairs were found to be consisten...

  5. Design of a Portable Test Facility for the ATLAS Tile Calorimeter Front-End Electronics Verification

    CERN Document Server

    Kim, H Y; The ATLAS collaboration; Carrio, F; Moreno, P; Masike, T; Reed, R; Sandrock, C; Schettino, V; Shalyugin, A; Solans, C; Souza, J; Suter, R; Usai, G; Valero, A

    2013-01-01

    The stand-alone test-bench deployed in the past for the verification of the Tile Calorimeter (TileCal) front-end electronics is reaching the end of its life cycle. A new version of the test-bench has been designed and built with the aim of improving the portability and exploring new technologies for future versions of the TileCal read-out electronics. An FPGA based motherboard with an embedded hardware processor and a few dedicated daughter-boards are used to implement all the functionalities needed to interface with the front-end electronics (TTC, G-Link, CANbus) and to verify the functionalities using electronic signals and LED pulses. The new device is portable and performs well, allowing the validation in realistic conditions of the data transmission rate. We discuss the system implementation and all the tests required to gain full confidence in the operation of the front-end electronics of the TileCal in the ATLAS detector.

  6. Testing and calibration through laser radiation and muon beams of the hadron calorimeter in ATLAS detector

    International Nuclear Information System (INIS)

    This study is dedicated to the calibration of the hadronic calorimeter (Tilecal) of the ATLAS detector. This detector will be installed on the LHC collider at CERN. The first data will be taken in 2007. This thesis is divided in two parts. The first part is dedicated to the study of the LASER system. A prototype of the final system was studied. It was shown that the stability and the linearity of this prototype are conform to the specification. Several studies were devoted to measurements which can be done on the Tilecal: The relative gain can be calculated and gives the stability of the Tilecal with a resolution of 0.35 %. The number of photoelectrons per charge unit has been calculated. The linearity was checked for a normal range of functioning and was corrected for the functioning at high charge. In both cases it was shown that the non-linearity was smaller than 0.5 %. The second study is devoted to muons beams in test beam periods. These results are used to find a calibration constant. Several problems which come from the difference of size cells are not totally solved. But the resolution of the calibration constant found by this method cannot exceed 2.3%. (author)

  7. Upgrade for the ATLAS Tile Calorimeter Readout Electronics at the High Luminosity LHC

    CERN Document Server

    Cerqueira, A; The ATLAS collaboration

    2012-01-01

    The Tile Calalorimeter (TileCal) is the hadronic calorimeter covering the most central region of the ATLAS experiment at LHC. It is a sampling calorimeter with iron plates as absorber and plastic scintillating tiles as the active material. The scintillation light produced by the passage of charged particles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The TileCal readout consists of about 10000 channels. The main upgrade will occur for the High Luminosity LHC phase (phase 2) which is scheduled around 2022. The upgrade aims at replacing the majority of the on- and off-detector electronics so that all calorimeter signals are directly digitized and sent to the off-detector electronics in the counting room. This will be done with minimum latency and maximum robustness. It will provide maximum TileCal information to the first level of the calorimeter trigger (probably called level 0) to improve the trigger efficiency as required to cope with the increased luminosity. An ambitious u...

  8. Upgrade of Tile Calorimeter of the ATLAS detector for the High Luminosity LHC.

    CERN Document Server

    Valdes Santurio, Eduardo; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter of ATLAS covering the central region of the ATLAS experiment. TileCal is a sampling calorimeter with steel as absorber and scintillators as active medium. The scintillators are read-out by wavelength shifting fibers coupled to photomultiplier tubes (PMT). The analogue signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The High Luminosity Large Hadron collider (HL-LHC) will have a peak luminosity of 5x10^34 cm-2s-1, five times higher than the design luminosity of the LHC. TileCal will undergo a major replacement of its on- and off-detector electronics for the high luminosity programme of the LHC in 2026. The calorimeter signals will be digitized and sent directly to the off-detector electronics, where the signals are reconstructed and shipped to the first level of trigger at a rate of 40 MHz. This will provide a better precision of the calorimeter signals used by the trigger system and will allow th...

  9. Performance of the ATLAS Tile Calorimeter

    CERN Document Server

    Solodkov, Alexander; The ATLAS collaboration

    2015-01-01

    The ATLAS Tile hadronic calorimeter (TileCal) provides highly-segmented energy measurements of incoming particles. It is a key detector for the measurement of hadrons, jets, tau leptons and missing transverse energy. It is also useful for identification and reconstruction of muons due to good signal to noise ratio. The calorimeter consists of thin steel plates and 460,000 scintillating tiles configured into 5000 cells, each viewed by two photomultipliers. The calorimeter response and its readout electronics is monitored to better than 1% using radioactive source, laser and charge injection systems. The calibration and performance of the calorimeter have been established through test beam measurements, cosmic ray muons and the large sample of muons and single hadrons from proton-proton collisions acquired in 2011 and 2012. The results demonstrate that the Tile Calorimeter has performed well within the design requirements and it has given essential contribution to reconstructed objects and physics results.

  10. Performance of the ATLAS Tile Calorimeter

    CERN Document Server

    Heelan, Louise; The ATLAS collaboration

    2015-01-01

    The ATLAS Tile hadronic calorimeter (TileCal) provides highly-segmented energy measurements of incoming particles. It is a key detector for the measurement of hadrons, jets, tau leptons and missing transverse energy. It is also useful for identification and reconstruction of muons due to good signal to noise ratio. The calorimeter consists of thin steel plates and 460,000 scintillating tiles configured into 5000 cells, each viewed by two photomultipliers. The calorimeter response and its readout electronics is monitored to better than 1% using radioactive source, laser and charge injection systems. The calibration and performance of the calorimeter have been established through test beam measurements, cosmic ray muons and the large sample of proton-proton collisions acquired in 2011 and 2012. Results on the calorimeter performance are presented, including the absolute energy scale, timing, noise and associated stabilities. The results demonstrate that the Tile Calorimeter has performed well within the design ...

  11. The ATLAS Tile Calorimeter Calibration and Performance

    CERN Document Server

    Meyer, C; The ATLAS collaboration

    2013-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems. It is a key detector for the measurement of hadrons, jets, tau leptons and missing transverse energy. Because of its very good signal to noise ratio it is also useful for the identification and reconstruction of muons. The calorimeter response is monitored to better than 1% using radioactive source, laser, and charge injection systems. This multi-faceted calibration system allows to monitor and equalize the calorimeter response at each stage of the signal production, from scintillation light to digitization. The performance of the calorimeter has also been established through test beam measurements, cosmic ray muons and t...

  12. Performance of the ATLAS Tile Calorimeter

    CERN Document Server

    Solodkov, Alexander; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter (TileCal), the central section of the hadronic calorimeter of the ATLAS experiment, is a key detector component to detect hadrons, jets and taus and to measure the missing transverse energy. Due to the very good muon signal to noise ratio it assists the spectrometer in the identification and reconstruction of muons. The calorimeter consists of thin steel plates and 460,000 scintillating tiles configured into 5182 cells, each viewed by two photomultipliers. The calorimeter response and its readout electronics is monitored to better than 1\\% using radioactive source, laser and charge injection systems. The performance of the calorimeter has been measured and monitored using calibration data, cosmic ray muons and the large sample of proton-proton collisions acquired in 2011 and 2012. The results demonstrate a very good understanding of the performance of the Tile Calorimeter that is well within the design expectations.

  13. Simulation and validation of the ATLAS Tile Calorimeter at LHC

    CERN Document Server

    Artamonov, A; The ATLAS collaboration

    2013-01-01

    --Simulation and validation of the ATLAS Tile Calorimeter at LHC TileCal is the hadronic calorimeter covering the most central region of the ATLAS experiment at the LHC. This sampling calorimeter uses iron plates as absorber and plastic scintillating tiles as the active material. Scintillation light produced in the tiles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs). The resulting electronic signals from the approximately 10000 PMTs are measured and digitized every 25 ns before being transferred to off-detector data-acquisition systems. This contribution describes the detailed simulation of this large scale calorimeter from the implementation of the geometrical elements down to the realistic description of the electronics readout pulses, the special noise treatment and the signal reconstruction. Detector non-uniformities and imperfections are also represented. Detailed validation has shown that the simulated detector response characteristics have been successfully integrated and...

  14. Cosmic ray muon timing and sources of fake missing transverse energy in ATLAS

    International Nuclear Information System (INIS)

    Cosmic ray muons analysis is a crucial step in the commissioning of the ATLAS detector. In this work we used cosmic ray data for timing studies in the ATLAS Hadronic Tile Calorimeter (TileCal). Analysing time-of-flight distributions from cosmic muons between two modules of TileCal we crosschecked inter-module time offsets obtained in LASER run studies, showing that in a few cases previous results could be further improved. Using new cuts at the cell level we also showed how this analysis can be used for enhancing the signal-to-noise ratio. On the second part of our study we use cosmic ray muon data recorded with the ATLAS calorimeters and studied several sources of fake missing transverse energy in the calorimeter systems, including electronics noise. Methods to reject this background using calorimeter timing have been explored on simulated jet events, simulated cosmic ray events, and real cosmic ray data. Further rejection of in-time cosmic ray events has been studied with a simulated SUSY signal and compared to real cosmic ray data

  15. Development and Test of the Cooling System for the ATLAS Hadron Tile Calorimeter

    CERN Document Server

    Schlager, Gerolf

    2002-01-01

    The ATLAS detector is a general-purpose experiment for proton-proton collisions designed to investigate the full range of physical processes at the Large Hadron Collider (LHC). The ATLAS Tile Hadron Calorimeter is designed to measure the energies of jets with a resolution of E/E = 50%/pE 3%, for j j<3. This thesis presents the detailed studies which were carried out with prototypes of the Tilecal cooling system during my year as technical student at CERN. The results will be used to validate and to determine the nal design of the cooling system of the ATLAS Tile calorimeter. The performance of the cooling unit built for the calibration of Tilecal modules was evaluated for various parameters like temperature stability and safety conditions during operation. Additionally I contributed to the analysis of the calorimeter response for di erent cooling temperatures. These results determined the constraints on the operation conditions of the cooling system in terms of temperature stability that will be needed d...

  16. Testing and calibration through laser radiation and muon beams of the hadron calorimeter in ATLAS detector; Controle et etalonnage par lumiere laser et par faisceaux de muons du calorimetre hadronique a tuiles scintillantes d'ATLAS

    Energy Technology Data Exchange (ETDEWEB)

    Garde, V

    2003-10-15

    This study is dedicated to the calibration of the hadronic calorimeter (Tilecal) of the ATLAS detector. This detector will be installed on the LHC collider at CERN. The first data will be taken in 2007. This thesis is divided in two parts. The first part is dedicated to the study of the LASER system. A prototype of the final system was studied. It was shown that the stability and the linearity of this prototype are conform to the specification. Several studies were devoted to measurements which can be done on the Tilecal: The relative gain can be calculated and gives the stability of the Tilecal with a resolution of 0.35 %. The number of photoelectrons per charge unit has been calculated. The linearity was checked for a normal range of functioning and was corrected for the functioning at high charge. In both cases it was shown that the non-linearity was smaller than 0.5 %. The second study is devoted to muons beams in test beam periods. These results are used to find a calibration constant. Several problems which come from the difference of size cells are not totally solved. But the resolution of the calibration constant found by this method cannot exceed 2.3%. (author)

  17. The ATLAS tile calorimeter ROD injector and multiplexer board

    International Nuclear Information System (INIS)

    The ATLAS Tile Calorimeter is a sampling detector composed by cells made of iron-scintillator tiles. The calorimeter cell signals are digitized in the front-end electronics and transmitted to the Read-Out Drivers (RODs) at the first level trigger rate. The ROD receives triggered data from up to 9856 channels and provides the energy, phase and quality factor of the signals to the second level trigger. The back-end electronics is divided into four partitions containing eight RODs each. Therefore, a total of 32 RODs are used to process and transmit the data of the TileCal detector. In order to emulate the detector signals in the production and commissioning of ROD modules a board called ROD Injector and Multiplexer Board (RIMBO) was designed. In this paper, the RIMBO main functional blocks, PCB design and the different operation modes are described. It is described the crucial role of the board within the TileCal ROD test-bench in order to emulate the front-end electronics during the validation of ROD boards as well as during the evaluation of the ROD signal reconstruction algorithms. Finally, qualification and performance results for the injection operation mode obtained during the Tile Calorimeter ROD production tests are presented.

  18. The Monitoring and Calibration Web Systems for the ATLAS Tile Calorimeter Data Quality Analysis

    CERN Document Server

    Sivolella, A; Ferreira, F

    2012-01-01

    The Tile Calorimeter (TileCal) is one of the ATLAS sub-detectors. The read-out is performed by about 10,000 PhotoMultiplier Tubes (PMTs). The signal of each PMT is digitized by an electronic channel. The Monitoring and Calibration Web System (MCWS) supports the data quality analysis of the electronic channels. This application was developed to assess the detector status and verify its performance. It can provide to the user the list of TileCal known problematic channels, that is stored in the ATLAS condition database (COOL DB). The bad channels list guides the data quality validator in identifying new problematic channels and is used in data reconstruction and the system allows to update the channels list directly in the COOL database. MCWS can generate summary results, such as eta-phi plots and comparative tables of the masked channels percentage. Regularly, during the LHC (Large Hadron Collider) shutdown a maintenance of the detector equipments is performed. When a channel is repaired, its calibration const...

  19. Implementation and performance of the signal reconstruction in the ATLAS Hadronic Tile Calorimeter

    CERN Document Server

    Valero, A; The ATLAS collaboration

    2011-01-01

    The Tile Calorimeter (TileCal) for the ATLAS experiment at the CERN Large Hadron Collider (LHC) is currently taking data with proton‐proton collisions. The Tile Calorimeter is a sampling calorimeter with steel as absorber and scintillators as active medium. The scintillators are read‐out by wavelength shifting fibers coupled to photomultiplier tubes (PMT). The analogue signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The TileCal front‐end electronics allows to read‐out the signals produced by about 10000 channels measuring energies ranging from ~30 MeV to ~2 TeV. The read‐out system is responsible to reconstruct the data in real‐time fulfilling the tight time constraint imposed by the ATLAS first level trigger rate (100 kHZ). The main component of the read‐out system is the Digital Signal Processor (DSP) which, using the Optimal Filtering technique, allows to compute for each channel the signal amplitude, time and quality factor at the required high r...

  20. Upgrade of the ATLAS hadronic Tile calorimeter for the High luminosity LHC

    CERN Document Server

    Harkusha, Siarhei; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter covering the central region of the ATLAS detector at the LHC. It is a sampling calorimeter consisting of alternating thin steel plates and scintillating tiles. Wavelength shifting fibers coupled to the tiles collect the produced light and are read out by photomultiplier tubes. An analog sum of the processed signal of several photomultipliers serves as input to the first level of trigger. Photomultiplier signals are then digitized and stored on detector and are only transferred off detector once the first trigger acceptance has been confirmed. The Large Hadron Collider (LHC) has envisaged a series of upgrades towards a High Luminosity LHC (HL-LHC) delivering five times the LHC nominal instantaneous luminosity. The ATLAS Phase II upgrade, in 2024, will accommodate the detector and data acquisition system for the HL-LHC. In particular, TileCal will undergo a major replacement of its on- and off-detector electronics. All signals will be digitized and then...

  1. Run 1 Performance of the ATLAS Tile Calorimeter

    CERN Document Server

    Heelan, Louise; The ATLAS collaboration

    2014-01-01

    The ATLAS Tile hadronic calorimeter (TileCal) provides highly-segmented energy measurements of incoming particles. It is a key detector for the measurement of hadrons, jets, tau leptons and missing transverse energy. It is also useful for identification and reconstruction of muons due to good signal to noise ratio. The calorimeter consists of thin steel plates and 460,000 scintillating tiles configured into 5000 cells, each viewed by two photomultipliers. The calorimeter response and its readout electronics is monitored to better than 1% using radioactive source, laser and charge injection systems. The calibration and performance of the calorimeter have been established through test beam measurements, cosmic ray muons and the large sample of proton-proton collisions acquired in 2011 and 2012. Results on the calorimeter performance are presented, including the absolute energy scale, timing, noise and associated stabilities. The results demonstrate that the Tile Calorimeter has performed well within the design ...

  2. Performance and Calibration of the ATLAS Tile Calorimeter

    CERN Document Server

    Starovoitov, P; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. This detector is instrumental for the measurements of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems. After an initial setting of the absolute energy scale in test beams with particles of well-defined momentum, the calibrated scale is transferred to the rest of the detector via the response to radioactive sources. The calibrated scale is validated in situ with muons and single hadrons whereas the timing performance is checked with muons and jets. A brief description of the individual calibration systems (Cs radioactive source, laser, charge injection, minimum bias) is provided. Their combination allows to calibr...

  3. ATLAS Tile Calorimeter time calibration, monitoring and performance

    CERN Document Server

    Davidek, Tomas; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter (TileCal) is the hadronic calorimeter covering the central region of the ATLAS experiment at the LHC. This sampling device is made of plastic scintillating tiles alternated with iron plates and its response is calibrated to electromagnetic scale by means of several dedicated calibration systems. The accurate time calibration is important for the energy reconstruction, non-collision background removal as well as for specific physics analyses. The initial time calibration with so-called splash events and subsequent fine-tuning with collision data are presented. The monitoring of the time calibration with laser system and physics collision data is discussed as well as the corrections for sudden changes performed still before the recorded data are processed for physics analyses. Finally, the time resolution as measured with jets and isolated muons particles is presented.

  4. ATLAS Tile Calorimeter: simulation and validation of the response

    CERN Document Server

    Davidek, T; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter (TileCal) is the central secti1 on of the ATLAS hadronic calorimeter at the Large Hadron Collider. Scintillation light produced in the tiles is readout by wavelength shifting fibers and transmitted to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being further transferred to off-detector data-acquisition systems. Detailed simulations are described in this contribution, ranging from the implementation of the geometrical elements to the realistic description of the electronics readout pulses, including specific noise treatment and the signal reconstruction. Special attention is given to the improved optical signal propagation and the validation with the real particle data.

  5. Performance of the Tile PreProcessor Demonstrator for the ATLAS Tile Calorimeter Phase II Upgrade

    International Nuclear Information System (INIS)

    The Tile Calorimeter PreProcessor demonstrator is a high performance double AMC board based on FPGA resources and QSFP modules. This board has been designed in the framework of the ATLAS Tile Calorimeter Demonstrator project for the Phase II Upgrade as the first stage of the back-end electronics. The TilePPr demonstrator has been conceived to receive and process the data coming from the front-end electronics of the TileCal Demonstrator module, as well as to configure it. Moreover, the TilePPr demonstrator handles the communication with the Detector Control System to monitor and control the front-end electronics. The TilePPr demonstrator represents 1/8 of the final TilePPr that will be designed and installed into the detector for the ATLAS Phase II Upgrade

  6. Upgrade of the ATLAS Tile hadronic calorimeter for high-luminosity LHC run

    CERN Document Server

    Spoor, Matthew; The ATLAS collaboration

    2016-01-01

    The ATLAS Tile Calorimeter (TileCal) will undergo a major replacement of its on- and off-detector electronics for the high luminosity program of the LHC in 2024. All signals will be digitized and transferred directly to the off-detector electronics, where the signals are reconstructed, stored, and sent to the first level of trigger at a rate of 40 MHz. This will provide better precision of the calorimeter signals used by the trigger system and will allow the development of more complex trigger algorithms. Changes to the electronics will also contribute to the reliability and redundancy of the system. Three different front-end options are presently being investigated for the upgrade and will be chosen after extensive test beam studies. A hybrid demonstrator module has been developed. The demonstrator is undergoing extensive testing and is planned for insertion in ATLAS.

  7. The FTK to Level-2 Interface Card (FLIC)

    CERN Document Server

    Anderson, John Thomas; The ATLAS collaboration; Blair, Robert; Drake, Gary; Love, Jeremy; Proudfoot, James; Wang, Rui; Zhang, Jinlong

    2015-01-01

    The FTK to Level-2 Interface Card (FLIC) of the ATLAS Fast TracKer (FTK) trigger upgrade is the final component in the FTK chain of custom electronics. The FTK performs full event tracking using the ATLAS Silicon detectors for every Level-1(L1) accepted event at 100 kHz. The FLIC is a custom Advanced Telecommunications Architecture (ATCA) card that interfaces the upstream FTK system with the ATLAS trigger and data acquisition (TDAQ) system, and allows for event processing on commercial PC blades making use of the 10 GB Ethernet full mesh ATCA back-plane. The FLIC receives data on 8 optical links at a bandwidth of about 1 Gbps per channel, reformats the data to the ATLAS standard record format, and performs the conversion from local to global module identifier using look up tables in SRAM. After processing, the event records are sent out to the TDAQ system using the S-LINK protocol at 2 Gbps, with a latency of O(10 microseconds). The data processing is handled in two Xilinx Virtex-6 FPGAs, with two additional ...

  8. The FTK to Level-2 Interface Card (FLIC)

    CERN Document Server

    Anderson, John Thomas; The ATLAS collaboration; Drake, Gary; Love, Jeremy; Proudfoot, James; Wang, Rui; Zhang, Jinlong; Auerbach, Benjamin

    2015-01-01

    The FTK to Level-2 Interface Card (FLIC) of the ATLAS Fast TracKer (FTK) trigger upgrade is the final component in the FTK chain of custom electronics. The FTK performs full event tracking using the ATLAS Silicon detectors for every Level-1 accepted event at 100 kHz. The FLIC is a custom Advanced Telecommunications Architecture (ATCA) card that interfaces the upstream FTK system with the ATLAS trigger and data acquisition (TDAQ) system, and allows for event processing on commercial PC blades making use of the 10 GB Ethernet full mesh ATCA back-plane. The FLIC receives data on 8 optical links at a bandwidth of ~1 Gbps per channel, reformats the data to the ATLAS standard record format, and performs the conversion from local to global module identifier using look up tables in SRAM. After processing, the event records are sent out to the TDAQ system using the S-LINK protocol at 2 Gbps, with a latency of O(10 microseconds). The data processing is handled in two Xilinx Virtex-6 FPGAs, with two additional Virtex-6 ...

  9. ATLAS tile calorimeter cesium calibration control and analysis software

    International Nuclear Information System (INIS)

    An online control system to calibrate and monitor ATLAS Barrel hadronic calorimeter (TileCal) with a movable radioactive source, driven by liquid flow, is described. To read out and control the system an online software has been developed, using ATLAS TDAQ components like DVS (Diagnostic and Verification System) to verify the hardware before running, IS (Information Server) for data and status exchange between networked computers, and other components like DDC (DCS to DAQ Connection), to connect to PVSS-based slow control systems of Tile Calorimeter, high voltage and low voltage. A system of scripting facilities, based on Python language, is used to handle all the calibration and monitoring processes from hardware perspective to final data storage, including various abnormal situations. A QT based graphical user interface to display the status of the calibration system during the cesium source scan is described. The software for analysis of the detector response, using online data, is discussed. Performance of the system and first experience from the ATLAS pit are presented

  10. SIGNAL RECONSTRUCTION PERFORMANCE OF THE ATLAS HADRONIC TILE CALORIMETER

    CERN Document Server

    Do Amaral Coutinho, Y; The ATLAS collaboration

    2013-01-01

    "The Tile Calorimeter for the ATLAS experiment at the CERN Large Hadron Collider (LHC) is a sampling calorimeter with steel as absorber and scintillators as active medium. The scintillators are readout by wavelength shifting fibers coupled to photomultiplier tubes (PMT). The analogue signals from the PMTs are amplified, shaped and digitized by sampling the signal every 25 ns. The TileCal front-end electronics allows to read out the signals produced by about 10000 channels measuring energies ranging from ~30 MeV to ~2 TeV. The read-out system is responsible for reconstructing the data in real-time fulfilling the tight time constraint imposed by the ATLAS first level trigger rate (100 kHz). The main component of the read-out system is the Digital Signal Processor (DSP) which, using an Optimal Filtering reconstruction algorithm, allows to compute for each channel the signal amplitude, time and quality factor at the required high rate. Currently the ATLAS detector and the LHC are undergoing an upgrade program tha...

  11. The ATLAS tile calorimeter web systems for data quality

    International Nuclear Information System (INIS)

    The ATLAS detector consists of four major components: inner tracker, calorimeter, muon spectrometer and magnet system. In the Tile Calorimeter (TileCal), there are 4 partitions, each partition has 64 modules and each module has up to 48 channels. During the ATLAS pre-operation phase, a group of physicists need to analyze the Tile Calorimeter data quality, generate reports and update the official database, when necessary. The Tile Commissioning Web System (TCWS) retrieves information from different directories and databases, executes programs that generate results, stores comments and verifies the calorimeter status. TCWS integrates different applications, each one presenting a unique data view. The Web Interface for Shifters (WIS) supports monitoring tasks by managing test parameters and all the calorimeter status. The TileComm Analysis stores plots, automatic analyses results and comments concerning the tests. With the necessity of increasing granularity, a new application was created: the Monitoring and Calibration Web System (MCWS). This application supports data quality analyses at the channel level by presenting the automatic analyses results, the problematic known channels and the channels masked by the shifters. Through the web system, it is possible to generate plots and reports, related to the channels, identify new bad channels and update the Bad Channels List at the ATLAS official database (COOL DB). The Data Quality Monitoring Viewer (DQM Viewer) displays the data quality automatic results through an oriented visualization.

  12. The ATLAS Muon Trigger

    CERN Document Server

    Ventura, A; The ATLAS collaboration

    2013-01-01

    The ATLAS experiment at CERN's Large Hadron Collider (LHC) deploys a three-levels processing scheme for the trigger system. The Level-1 muon trigger system gets its input from fast muon trigger detectors. Fast sector logic boards select muon candidates, which are passed via an interface board to the central trigger processor and then to the High Level Trigger (HLT). The muon HLT is purely software based and encompasses a Level-2 trigger followed by an event filter for a staged trigger approach. It has access to the data of the precision muon detectors and other detector elements to refine the muon hypothesis. The ATLAS experiment has taken data with high efficiency continuously over entire running periods from 2010 to 2012, for which sophisticated triggers to guard the highest physics output while reducing effectively the event rate were mandatory. The ATLAS muon trigger has successfully adapted to this changing environment. The selection strategy has been optimized for the various physics analyses involving ...

  13. Status of the Atlas Calorimeters: their performance during three years of LHC operation and plans for future upgrades.

    CERN Document Server

    Majewski, S; The ATLAS collaboration

    2014-01-01

    The ATLAS experiment is designed to study the proton-proton collisions produced at the Large Hadron Collider (LHC) at CERN. Its calorimeter system measures the energy and direction of final state particles over the pseudorapidity range $|\\eta| < 4.9$. Accurate identification and measurement of the characteristics of electromagnetic objects (electrons/photons) are performed by liquid argon (LAr)-lead sampling calorimeters in the region $|\\eta| < 3.2$, using an innovative accordion geometry that provides a fast, uniform response without azimuthal gaps. This system played a critical role in the ATLAS analyses contributing to the Higgs boson discovery announced in 2012. The hadronic calorimeters measure the properties of hadrons, jets, and tau leptons, and also contribute to the measurement of the missing transverse energy and the identification of muons. A scintillator-steel sampling calorimeter (TileCal) is employed in the region $|\\eta| < 1.7$, while the region $1.5 < |\\eta| < 3.2$ is covered wi...

  14. The sROD Module for the ATLAS Tile Calorimeter Phase-II Upgrade Demonstrator

    CERN Document Server

    Carrio, F; Ferrer, A; Fiorini, L; Hernandez, Y; Higon, E; Mellado, B; March, L; Moreno, P; Reed, R; Solans, C; Valero, A; Valls, J A

    2014-01-01

    TileCal is the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The main upgrade of the LHC to increase the instantaneous luminosity is scheduled for 2022. The High Luminosity LHC, also called upgrade Phase-II, will imply a complete redesign of the read-out electronics in TileCal. In the new read-out architecture, the front-end electronics aims to transmit full digitized information to the back-end system in the counting rooms. Thus, the back-end system will provide digital calibrated information with en- hanced precision and granularity to the first level trigger to improve the trigger efficiencies. The demonstrator project is envisaged to qualify this new proposed architecture. A reduced part of the detector, 1/256 of the total, will be upgraded with the new electronics during 2014 to evaluate the proposed architecture in real conditions. The upgraded Read-Out Driver (sROD) will be the core element of the back-end electronics in Phase-II The sROD module is des...

  15. The sROD Module for the ATLAS Tile Calorimeter Phase-2 Upgrade Demonstrator

    CERN Document Server

    Carrió, F; The ATLAS collaboration; Castillo, V; Hernández, Y; Higón, E; Fiorini, L; Mellado, B; March, L; Moreno, P; Reed, R; Solans, C; Valero, A; Valls, J

    2013-01-01

    TileCal is the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider at CERN. The main upgrade of the LHC to increase the instantaneous luminosity is scheduled for 2022. The High Luminosity LHC, also called upgrade phase-2, will imply a complete redesign of the read-out electronics in TileCal. In the new read-out architecture, the front-end electronics aims to transmit full digitized information to the back-end system in the counting room. Thus, the back-end system will provide digital calibrated information with enhanced precision and granularity to the first level trigger to improve the trigger efficiencies. The demonstrator project has been envisaged to qualify this new proposed architecture. A reduced part of the detector, 1/256 of the total, will be upgraded with the new electronics during 2014 to evaluate the proposed architecture in real conditions.The sROD module is designed on a double mid-size AMC format and will operate under an AdvancedTCA framework. The module includes...

  16. Timing distribution and Data Flow for the ATLAS Tile Calorimeter Phase II Upgrade

    CERN Document Server

    AUTHOR|(SzGeCERN)713745; The ATLAS collaboration

    2016-01-01

    The Hadronic Tile Calorimeter (TileCal) detector is one of the several subsystems composing the ATLAS experiment at the Large Hadron Collider (LHC). The LHC upgrade program plans an increase of order five times the LHC nominal instantaneous luminosity culminating in the High Luminosity LHC (HL-LHC). In order to accommodate the detector to the new HL-LHC parameters, the TileCal read out electronics is being redesigned introducing a new read out strategy with a full-digital trigger system. In the new read out architecture, the front-end electronics allocates the MainBoards and the DaughterBoards. The MainBoard digitizes the analog signals coming from the PhotoMultiplier Tubes (PMTs), provides integrated data for minimum bias monitoring and includes electronics for PMT calibration. The DaughterBoard receives and distributes Detector Control System (DCS) commands, clock and timing commands to the rest of the elements of the front-end electronics, as well as, collects and transmits the digitized data to the back-e...

  17. Configuration of the ATLAS Trigger System

    CERN Document Server

    Elsing, M; Armstrong, S; Baines, J T M; Bee, C P; Biglietti, M; Bogaerts, A; Boisvert, V; Bosman, M; Brandt, S; Caron, B; Casado, M P; Cataldi, G; Cavalli, D; Cervetto, M; Comune, G; Corso-Radu, A; Di Mattia, A; Díaz-Gómez, M; Dos Anjos, A; Drohan, J; Ellis, Nick; Epp, B; Etienne, F; Falciano, S; Farilla, A; George, S; Ghete, V M; González, S; Grothe, M; Kaczmarska, A; Karr, K M; Khomich, A; Konstantinidis, N P; Krasny, W; Li, W; Lowe, A; Luminari, L; Ma, H; Meessen, C; Mello, A G; Merino, G; Morettini, P; Moyse, E; Nairz, A; Negri, A; Nikitin, N V; Nisati, A; Padilla, C; Parodi, F; Pérez-Réale, V; Pinfold, J L; Pinto, P; Polesello, G; Qian, Z; Rajagopalan, S; Resconi, S; Rosati, S; Scannicchio, D A; Schiavi, C; Segura, E; De Seixas, J M; Shears, T G; Sivoklokov, S Yu; Smizanska, M; Soluk, R A; Stanescu, C; Tapprogge, Stefan; Touchard, F; Vercesi, V; Watson, A; Wengler, T; Werner, P; Wheeler, S; Wickens, F J; Wiedenmann, W; Wielers, M; Zobernig, G; CHEP 2003 Computing in High Energy Physics

    2003-01-01

    In this paper a conceptual overview is given of the software foreseen to configure the ATLAS trigger system. Two functional software prototypes have been developed to configure the ATLAS Level-1 emulation and the High-Level Trigger software. Emphasis has been put so far on following a consistent approach between the two trigger systems and on addressing their requirements, taking into account the specific use-case of the `Region-of-Interest' mechanism for the ATLAS Level-2 trigger. In the future the configuration of the two systems will be combined to ensure a consistent selection configuration for the entire ATLAS trigger system.

  18. MIPAS level 2 operational analysis

    Directory of Open Access Journals (Sweden)

    P. Raspollini

    2006-01-01

    Full Text Available The MIPAS (Michelson Interferometer for Passive Atmospheric Sounding instrument has been operating on-board the ENVISAT satellite since March 2002. In the first two years, it acquired in a nearly continuous manner high resolution (0.025 cm−1 unapodized emission spectra of the Earth's atmosphere at limb in the middle infrared region. This paper describes the level 2 near real-time (NRT and off-line (OL ESA processors that have been used to derive level 2 geophysical products from the calibrated and geolocated level 1b spectra. The design of the code and the analysis methodology have been driven by the requirements for NRT processing. This paper reviews the performance of the optimized retrieval strategy that has been implemented to achieve these requirements and provides estimated error budgets for the target products: pressure, temperature, O3, H2O, CH4, HNO3, N2O and NO2, in the altitude measurement range from 6 to 68 km. From application to real MIPAS data, it was found that no change was needed in the developed code although an external algorithm was introduced to identify clouds with high opacity and to exclude affected spectra from the analysis. In addition, a number of updates were made to the set-up parameters and to auxiliary data. In particular, a new version of the MIPAS dedicated spectroscopic database was used and, in the OL analysis, the retrieval range was extended to reduce errors due to uncertainties in extrapolation of the profile outside the retrieval range and more stringent convergence criteria were implemented. A statistical analysis on the χ2 values obtained in one year of measurements shows good agreement with the a priori estimate of the forward model errors. On the basis of the first two years of MIPAS measurements the estimates of the forward model and instrument errors are in general found to be conservative with excellent performance demonstrated for frequency calibration. It is noted that the total retrieval

  19. Performance of the ATLAS Tile Hadronic Calorimeter at LHC in Run 1 and planned upgrades

    CERN Document Server

    Solovyanov, Oleg; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider, a key detector for the measurements of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are digitized before being transferred to off-detector data-acquisition systems. The data quality procedures used during the LHC data-taking and the evolution of the detector status are explained in the presentation. The energy and the time reconstruction performance of the digitized signals is presented and the noise behaviour and its improvement during the detector consolidation in maintenance periods are shown. A set of calibration systems allow monitoring and equalization of the calorimeter channels responses via signal sources that act at every stage of the signal path, from scintillation light to digitized signal...

  20. Performance of the ATLAS Tile Calorimeter in the proton-proton collisions at LHC

    CERN Document Server

    Fiascaris, M; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider. This detector is instrumental for the measurements of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems. After an initial setting of the absolute energy scale in test beams with particles of well-defined momentum, the calibrated scale is transferred to the rest of the detector via the response to radioactive sources. The calibrated scale is validated in situ with muons and single hadrons whereas the timing performance is checked with muons and jets. The data quality procedures used during the LHC data‐taking and the evolution of the detector status are presented. The energy and the time reconstruction performance...

  1. Performance of the ATLAS Tile Hadronic Calorimeter at LHC in Run I and planned upgrades

    CERN Document Server

    Solovyanov, Oleg; The ATLAS collaboration

    2014-01-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider, a key detector for the measurements of hadrons, jets tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibers to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are measured and digitized before being transferred to off-detector data-acquisition systems. After an initial setting of the absolute energy scale in test beams with particles of well-defined momentum, the calibrated scale was transferred to the rest of the detector via the response to radioactive sources. The calibrated scale was validated in situ with muons and single hadrons and the timing performance with muons and jets as detailed in this contribution. The data quality procedures used during the LHC data-taking and the evolution of the detector status are exposed. The energy and the time reconstruction performance...

  2. Web System for Data Quality Assessment of Tile Calorimeter During the ATLAS Operation

    CERN Document Server

    Guimaraes Ferreira, F; The ATLAS collaboration; Fink Grael, F; Sivolella Gomes, A; Balabram Filho, L

    2010-01-01

    TileCal is the barrel hadronic calorimeter of the ATLAS experiment and has ~10 000 electronic channels. Supervising the detector behavior is a very important task to ensure proper operation. Collaborators perform analyzes over reconstructed data of calibration runs in order to give detailed considerations about failures and to assert the equipment status. Then, the data quality responsible provides the list of problematic channels that should not be considered for physics analysis. Since the commissioning period, our group has developed seven web systems that guide the collaborators through the data quality assessment task. Each system covers a part of the job, providing information on the latest runs, displaying status from the automatic monitoring framework, giving details about power supplies operation, presenting the generated plots and storing the validation outcomes, assisting to write logbook entries, creating and submitting the bad channels list to the conditions database and publishing the equipment ...

  3. Web System for Data Quality Assessment of Tile Calorimeter During the ATLAS Operation

    CERN Document Server

    Maidantchik1, C; The ATLAS collaboration; Grael, F; Sivolella, A; Balabram, L

    2011-01-01

    TileCal is the barrel hadronic calorimeter of the ATLAS experiment and has about 10 000 electronic channels. Supervising the detector behavior is a very important task to ensure proper operation. Collaborators perform analyzes over reconstructed data of calibration runs in order to give detailed considerations about failures and to assert the equipment status. Since the commissioning period, our group has developed seven web systems that guide the collaborators through the data quality assessment task. Each system covers a part of the job, providing information on the latest runs, displaying status from the automatic monitoring framework, giving details about power supplies operation, presenting the generated plots and storing the validation outcomes, assisting to write logbook entries, creating and submitting the bad channels list to the conditions database and publishing the equipment performance history. Due to the beginning of the operation, runs are acquired more often. The increasing amount of data repr...

  4. Noise dependency with pile-up in the ATLAS Tile Calorimeter

    CERN Document Server

    Araque Espinosa, Juan Pedro; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter, TileCal, is the central hadronic calorimeter of the ATLAS experiment, positioned between the electromagnetic calorimeter and the muon chambers. It comprises alternating layers of steel (as absorber material) and plastic (as active material), known as tiles. Between 2009 and 2012, the LHC has performed better than expected producing proton-proton collisions at a very high rate. These conditions are really challenging when dealing with the energy measurements in the calorimeter since not only the energy from an interesting event will be measured but a component coming from other collisions which are difficult to distinguish from the interesting one will also be present. This component is referred to as pile-up noise. Studies carried out to better understand how pile-up affects noise under different circumstances are described.

  5. The sROD module for the ATLAS Tile Calorimeter upgrade demonstrator

    CERN Document Server

    Carrio Argos, Fernando; The ATLAS collaboration

    2014-01-01

    This work presents the first prototype of the super Read-Out Driver (sROD) demonstrator board for the Tile Calorimeter Demonstrator project. This project aims to test the new readout electronics architecture for the Phase 2 Upgrade of the ATLAS Tile Calorimeter, replacing the front-end electronics of one complete drawer with the new electronics during the Long Shutdown 1 (2013-2014), in order to evaluate its performance. The sROD demonstrator board will receive and process data from a complete module. Moreover the sROD demonstrator board will send preprocessed data to the present trigger system, and will transmit trigger control and timing information (TTC) and Detector Control System (DCS) commands to the front-end. A detailed description of the sROD board design, firmware and control and data acquisition software. We also will present the first results of this module during the commissioning of the upgraded TileCal module.

  6. The ATLAS Tile Calorimeter performance at LHC in pp collisions at 7 TeV

    Directory of Open Access Journals (Sweden)

    Bertolucci Federico

    2012-06-01

    Full Text Available The Tile Calorimeter (TileCal, the central section of the hadronic calorimeter of the ATLAS experiment, is a key detector component to detect hadrons, jets and taus and to measure the missing transverse energy. Due to the very good muon signal to noise ratio it assists the muon spectrometer in the identification and reconstruction of muons. The performance of the calorimeter has been measured and monitored using calibration data, random triggered data, cosmic muons, splash events and more importantly LHC collision events. The results presented assess the absolute energy scale calibration precision, the energy and timing uniformity and the synchronization precision. The results demonstrate a very good understanding of the performance of the Tile Calorimeter that is well within the design expectations.

  7. Performance of the ATLAS Calorimeters and Commissioning for LHC Run-2

    CERN Document Server

    Rossetti, Valerio; The ATLAS collaboration

    2015-01-01

    The ATLAS general-purpose experiment at the Large Hadron Collider (LHC) is equipped with electromagnetic and hadronic liquid-argon (LAr) calorimeters and a hadronic scintillator-steel sampling calorimeter (TileCal) for measuring energy and direction of final state particles in the pseudorapidity range $|\\eta| < 4.9$. The calibration and performance of the calorimetry system was established during beam tests, cosmic ray muon measurements and in particular the first three years of pp collision data-taking. During this period, referred to as Run-1, approximately 27~fb$^{-1}$ of data have been collected at the center-of-mass energies of 7 and 8~TeV. Results on the calorimeter operation, monitoring and data quality, as well as their performance will be presented, including the calibration and stability of the electromagnetic scale, response uniformity and time resolution. These results demonstrate that the LAr and Tile calorimeters perform excellently within their design requirements. The calorimetry system thu...

  8. Test Beam Coordination: 2003 ATLAS Combined Test Beam

    CERN Multimedia

    Di Girolamo, B.

    The 2003 Test Beam Period The 2003 Test Beam period has been very fruitful for ATLAS. In spite of several days lost because of the accelerator problems, ATLAS has been able to achieve many results: FCAL has completed the calibration program in H6 Tilecal has completed the calibration program in H8 Pixel has performed extensive studies with normal and high intensity beams (up to 1.4*108 hadrons/spill) SCT has completed a variety of studies with quite a high number of modules operated concurrently TRT has performed several studies at high, low and very low energy (first use of the new H8 beam in the range 1 to 9 GeV) Muons (MDT,RPC and TGC) have been operating a large setup for about 5 months. The almost final MDT ROD (MROD) has been integrated in the readout and the final trigger electronics for TGC and RPC has been tested and certified with normal beam and during dedicated 40 MHz beam periods. The TDAQ has exploited a new generation prototype successfully and the new Event Filter infrastructure f...

  9. Integration of the monitoring and offline analysis systems of the ATLAS hadronic calorimeter

    International Nuclear Information System (INIS)

    Full text: During the ATLAS detector operation, collaborators perform innumerous analysis related to the calibration in order to acquire detailed information about the hadronic calorimeter (TileCal) equipment. Through the analysis, it is possible to detect faults that would affect data acquisition, which are of physics interest. Some defects examples are: saturation of reading channels, problems in the acquired signal digitization and high signal-to-noise ratio (SNR). Since the commissioning period, members of the collaboration between CERN and UFRJ developed Web systems to support the hard task of monitoring the TileCal equipment. The Tile Commissioning Web System (TCWS) integrates different applications, each one presenting part of the commissioning process. The Web Interface for Shifters (WIS) displays the most recent calibration runs and assists the monitoring of the modules operation. The TileComm Analysis (TCA) allows access to histograms that represents the status of modules and corresponding channels functioning. The Timeline provides the history of the calibration rounds and the state of all modules in chronological order. The Data Quality Monitoring (DQM) contains the status of the histograms, modules and channels. The E-log stores and displays all reports about calibrations. Web Monitoring and Calibration System (MCWS) allows the visualization of the most recent channel status of each module. DCS (Detector Control System) Web System monitors the operation of modules power supply. After the ATLAS operation has started the number of equipment calibrations increased significantly, which has prompted the development of a system that would display all previous information through a centralized way. The Dashboard allows the collaborator to easily access the latest runs or to search for specific ones. After selecting a run, it is possible to check the status of each barrel module through a schematic figure, to view the 10 latest status of a certain module, and

  10. Study of the response to isolated muons from collisions of the ATLAS Tile Calorimeter’s gap/crack cells

    CERN Document Server

    van Woerden, Marius Cornelis; van Vulpen, Ivo

    This thesis presents a calibration study of the ATLAS Tile Calorimeter’s gap/crack cells, using isolated muons from pp collisions at a center of mass energy of √s = 7 TeV and an integrated luminosity of 1 fb^−1. Muons, as minimum ionising particles, deposit a well-described amount of energy in the calorimeter. Therefore, they can be used to study the agreement between the measured and expected response. The W → µν events are selected using high level triggering, after which pion decay remains the main background. Dedicated studies on the TileCal calibration systems have shown that the response of the channels is time-dependent and therefore needs to be monitored. A method is proposed to determine detector modules that are miscalibrated, allowing no more than 3σ deviation from the Monte Carlo predictions. The so-called TileCal Unified Calibration Software has been improved to monitor the calibration status of the detector over time, incorporating the different calibration systems. Miscalibrations ...

  11. Supporting ATLAS

    CERN Multimedia

    maximilien brice

    2003-01-01

    Eighteen feet made of stainless steel will support the barrel ATLAS detector in the cavern at Point 1. In total, the ATLAS feet system will carry approximately 6000 tons, and will give the same inclination to the detector as the LHC accelerator.

  12. Supporting ATLAS

    CERN Multimedia

    2003-01-01

    Eighteen feet made of stainless steel will support the barrel ATLAS detector in the cavern at Point 1. In total, the ATLAS feet system will carry approximately 6000 tons, and will give the same inclination to the detector as the LHC accelerator. The installation of the feet is scheduled to finish during January 2004 with an installation precision at the 1 mm level despite their height of 5.3 metres. The manufacture was carried out in Russia (Company Izhorskiye Zavody in St. Petersburg), as part of a Russian and JINR Dubna in-kind contribution to ATLAS. Involved in the installation is a team from IHEP-Protvino (Russia), the ATLAS technical co-ordination team at CERN, and the CERN survey team. In all, about 15 people are involved. After the feet are in place, the barrel toroid magnet and the barrel calorimeters will be installed. This will keep the ATLAS team busy for the entire year 2004.

  13. Characterization of plastic scintillators using magnetic resonance techniques for the upgrade of the Tile Calorimeter in the ATLAS detector

    Science.gov (United States)

    Pelwan, C.; Jivan, H.; Joubert, D.; Keartland, J.; Liao, S.; Peters, G.; Sideras-Haddad, E.

    2015-10-01

    In this study we look at radiation damage and its adverse effects on plastic scintillators housed within the Tile Calorimeter (TileCal) of the ATLAS detector. The study focuses on determining how the interaction of ionizing radiation with plastic scintillators effects their efficacy and desired properties such as high light output and fast decay time. Plastic scintillators form an integral part of the ATLAS trigger system and their optimal functionality is paramount to the success of ATLAS. Electron paramagnetic resonance (EPR) provides insight into the electronic structure of the plastics and can characterize the damage caused by ionizing radiation. Density functional theory (DFT) calculations will be performed in order to simulate the EPR signal. Preliminary EPR results investigate four different types of plastic scintillators. These include three polyvinyl-toluene based Eljen technologies: EJ200, EJ208 and EJ260, and one polystyrene based Dubna sample. It has been observed that the Dubna sample, identical on the current scintillator used in the ATLAS detector, undergoes more structural damage when compared to the Eljen samples.

  14. Calibration and data quality systems of the ATLAS Tile Calorimeter during the LHC Run-I operations

    Science.gov (United States)

    Ženiš, T.

    2016-07-01

    The Tile Calorimeter is the hadronic calorimeter covering the central region of the ATLAS detector at the LHC. It consists of thin steel plates and scintillating tiles. Wavelength shifting fibers coupled to the tiles collect the produced light and are read out by photomultiplier tubes. The calibration scheme of the Tile Calorimeter comprises Cs radioactive source, laser and charge injection systems. Each stage of the signal production of the calorimeter from scintillation light to digitization is monitored and equalized. Description of the different TileCal calibration systems as well as the results on their performance in terms of calibration factors, linearity and stability is given. The data quality procedures and efficiency of the Tile Calorimeter during the LHC Run-1 data-taking period are presented as well.

  15. Calibration and Data Quality systems of the ATLAS Tile Calorimeter during the LHC Run-I operations

    CERN Document Server

    Zenis, Tibor; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter is the hadronic calorimeter covering the central region of the ATLAS detector at the LHC. It consists of thin steel plates and scintillating tiles. Wavelength shifting fibres coupled to the tiles collect the produced light and are read out by photomultiplier tubes. The calibration scheme of the Tile Calorimeter comprises Cs radioactive source, laser and charge injection systems. Each stage of the signal production of the calorimeter from scintillation light to digitization is monitored and equalized. Description of the different TileCal calibration systems as well as results on their performance in terms of calibration factors, linearity and stability will be given. The data quality procedures and data quality efficiency of the Tile Calorimeter during the LHC data-taking period are presented as well.

  16. Calibration and Data Quality systems of the ATLAS Tile Calorimeter during the LHC Run-I operations

    CERN Document Server

    Zenis, Tibor; The ATLAS collaboration

    2015-01-01

    The Tile Calorimeter is the hadronic calorimeter covering the central region of the ATLAS detector at the LHC. It consists of thin steel plates and scintillating tiles. Wavelength shifting fibres coupled to the tiles collect the produced light and are read out by photomultiplier tubes. The calibration scheme of the Tile Calorimeter comprises Cs radioactive source, laser and charge injection systems. Each stage of the signal production of the calorimeter from scintillation light to digitization is monitored and equalized. Description of the different TileCal calibration systems as well as the results on their performance in terms of calibration factors, linearity and stability are given. The data quality procedures and data quality efficiency of the Tile Calorimeter during the LHC data-taking period are presented as well.

  17. MISR Level 2 Surface parameters V002

    Data.gov (United States)

    National Aeronautics and Space Administration — This Level 2 Land Surface product contains information on land directional reflectance properties,albedos(spectral & PAR integrated),FPAR,asssociated radiation...

  18. Mongolian Atlas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Climatic atlas dated 1985, in Mongolian, with introductory material also in Russian and English. One hundred eight pages in single page PDFs.

  19. Performance of the ATLAS Tile Hadronic Calorimeter at LHC in Run 1 and planned upgrades

    International Nuclear Information System (INIS)

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider, a key detector for the measurements of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are digitized before being transferred to off-detector data-acquisition systems. The data quality procedures used during the LHC data-taking and the evolution of the detector status are explained in the presentation. The energy and the time reconstruction performance of the digitized signals is presented and the noise behaviour and its improvement during the detector consolidation in maintenance periods are shown. A set of calibration systems allow monitoring and equalization of the calorimeter channels responses via signal sources that act at every stage of the signal path, from scintillation light to digitized signal. These partially overlapping systems are described in detail, their individual performance is discussed as well as the comparative results from measurements of the evolution of the calorimeter response with time during the full LHC data-taking period. The TileCal upgrade aims at replacing the majority of the on- and off-detector electronics so that all calorimeter signals will be directly digitized and sent to the off-detector electronics in the counting room. To achieve the required reliability, redundancy has been introduced at different levels. For the off-detector electronics a special pre-processor board is being developed, which will take care of the initial trigger processing, while the main data are temporarily stored in the pipeline and de-randomiser memories

  20. Performance of the ATLAS Tile Hadronic Calorimeter at LHC in Run 1 and planned upgrades

    Science.gov (United States)

    Solovyanov, O.

    2014-10-01

    The Tile Calorimeter (TileCal) is the central section of the ATLAS hadronic calorimeter at the Large Hadron Collider, a key detector for the measurements of hadrons, jets, tau leptons and missing transverse energy. Scintillation light produced in the tiles is transmitted by wavelength shifting fibres to photomultiplier tubes (PMTs). The resulting electronic signals from approximately 10000 PMTs are digitized before being transferred to off-detector data-acquisition systems. The data quality procedures used during the LHC data-taking and the evolution of the detector status are explained in the presentation. The energy and the time reconstruction performance of the digitized signals is presented and the noise behaviour and its improvement during the detector consolidation in maintenance periods are shown. A set of calibration systems allow monitoring and equalization of the calorimeter channels responses via signal sources that act at every stage of the signal path, from scintillation light to digitized signal. These partially overlapping systems are described in detail, their individual performance is discussed as well as the comparative results from measurements of the evolution of the calorimeter response with time during the full LHC data-taking period. The TileCal upgrade aims at replacing the majority of the on- and off-detector electronics so that all calorimeter signals will be directly digitized and sent to the off-detector electronics in the counting room. To achieve the required reliability, redundancy has been introduced at different levels. For the off-detector electronics a special pre-processor board is being developed, which will take care of the initial trigger processing, while the main data are temporarily stored in the pipeline and de-randomiser memories.

  1. The sROD module for the ATLAS Tile Calorimeter Phase-II Upgrade Demonstrator

    Science.gov (United States)

    Carrió, F.; Castillo, V.; Ferrer, A.; Fiorini, L.; Hernández, Y.; Higón, E.; Mellado, B.; March, L.; Moreno, P.; Reed, R.; Solans, C.; Valero, A.; Valls, J. A.

    2014-02-01

    TileCal is the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The main upgrade of the LHC to increase the instantaneous luminosity is scheduled for 2022. The High Luminosity LHC, also called upgrade Phase-II, will imply a complete redesign of the read-out electronics in TileCal. In the new read-out architecture, the front-end electronics aims to transmit full digitized information to the back-end system in the counting rooms. Thus, the back-end system will also provide digital calibrated information with enhanced precision and granularity to the first level trigger to improve the trigger efficiencies. The demonstrator project is envisaged to qualify this new proposed architecture. A reduced part of the detector, 1/256 of the total, will be equipped with the new electronics during 2014 to evaluate the proposed architecture in real conditions. The upgraded Read-Out Driver (sROD) will be the core element of the back-end electronics in Phase-II. The sROD module is designed on a double mid-size AMC format and will operate under an AdvancedTCA framework. The module includes two Xilinx Series 7 Field Programmable Gate Arrays (FPGAs) for data receiving and processing, as well as the implementation of embedded systems. Related to optical connectors, the sROD uses 4 QSFPs to receive and transmit data from the front-end electronics and 1 Avago MiniPOD to send preprocessed data to the first level trigger system. An SFP module maintains the compatibility with the existing hardware. A complete description of the sROD module for the demonstrator including the main functionalities, circuit design and the control software and firmware will be presented.

  2. A Special Function Coprocessor for Level-2

    International Nuclear Information System (INIS)

    The idea of supplementing Level-2 filtering nodes with additional processing power has been alive within D0 collaboration for some time now. The utility of additional processing power became increasingly recognized as the Level-2 filtering code matures. Here we will describe one scenario of augmenting Level-2 nodes with coprocessing power within the framework of the present D0 data acquisition system. Primary data reduction, consisting of repetitive but simple tasks, form the major part of the first order Level-2 filter, in terms of its time budget. Such computing tasks are well suited to the coprocessor environment. In what follows we will use the term Special Function Coprocessor (SFC) to denote this additional processor. 2 figs

  3. The PreProcessors for the ATLAS Tile Calorimeter Phase II Upgrade

    CERN Document Server

    Carrio Argos, Fernando; The ATLAS collaboration

    2015-01-01

    The Large Hadron Collider (LHC) has envisaged a series of upgrades towards a High Luminosity LHC (HL-LHC) delivering five times the LHC nominal instantaneous luminosity. The ATLAS Phase II upgrade will accommodate the detector and data acquisition system for the HL-LHC. In particular, the Tile Hadronic Calorimeter (TileCal) will replace completely front-end and back-end electronics using a new readout architecture. The digitized detector data will be transferred for every beam crossing to the PreProcessors (TilePPr) located in off-detector counting rooms with a total data bandwidth of roughly 80 Tbps. The TilePPr implements increased pipelines memories and must provide pre-processed digital trigger information to Level 0 trigger systems. The TilePPr system represents the link between the front-end electronics and the overall ATLAS data acquisition system. It also implements the interface between the Detector Control System (DCS) and the front-end electronics which is used to control and monitor the high volta...

  4. The PreProcessors for the ATLAS Tile Calorimeter Phase II Upgrade

    CERN Document Server

    Carrio Argos, Fernando; The ATLAS collaboration

    2015-01-01

    The Large Hadron Collider (LHC) has envisaged a series of upgrades towards a High Luminosity LHC (HL-LHC) delivering five times the LHC nominal instantaneous luminosity. The ATLAS Phase II upgrade will accommodate the detector and data acquisition system for the HL-LHC. In particular, the Tile Hadronic Calorimeter (TileCal) will replace completely on- and off-detector electronics using a new read-out architecture. The digitized detector data will be transferred for every beam crossing to the super Read Out Drivers (sRODs) located in off-detector counting rooms with a total data bandwidth of roughly 80 Tbps. The sROD implements increased pipelines memories and must provide pre-processed digital trigger information to Level 0/1 systems. The sROD module represents the link between the on-detector electronics and the overall ATLAS data acquisition system. It also implements the interface between the Detector Control System (DCS) and the on-detector electronics which is used to control and monitor the high voltage...

  5. Design of a Portable Test Facility for the ATLAS Tile Calorimeter Front-End Electronics Verification

    CERN Document Server

    Kim, HY; The ATLAS collaboration; Carrio, F; Moreno, P; Masike, T; Reed, R; Sandrock, C; Schettino, V; Shalyugin, A; Solans, C; Souza, J; Suter, R; Usai, G; Valero, A

    2013-01-01

    An FPGA-based motherboard with an embedded hardware processor is used to implement a portable test- bench for the full certification of Tile Calorimeter front-end electronics in the ATLAS experiment at CERN. This upgrade will also allow testing future versions of the TileCal read-out electronics as well. Because of its lightness the new facility is highly portable, allowing on-detector validation using sophisticated algorithms. The new system comprises a front-end GUI running on an external portable computer which controls the motherboard. It also includes several dedicated daughter-boards that exercise the different specialized functionalities of the system. Apart from being used to evaluate different technologies for the future upgrades, it will be used to certify the consolidation of the electronics by identifying low frequency failures. The results of the tests presented here show that new system is well suited for the 2013 ATLAS Long Shutdown. We discuss all requirements necessary to give full confidence...

  6. Web System for Data Quality Assessment of Tile Calorimeter During the ATLAS Operation

    International Nuclear Information System (INIS)

    TileCal, the barrel hadronic calorimeter of the ATLAS experiment, gathers almost about 10,000 electronic channels. The supervision of the detector behavior is very important in order to ensure proper operation. Collaborators perform analysis over reconstructed data of calibration runs for giving detailed considerations about the equipment status. During the commissioning period, our group has developed seven web systems to support the data quality (DQ) assessment task. Each system covers a part of the process by providing information on the latest runs, displaying the DQ status from the monitoring framework, giving details about power supplies operation, presenting the generated plots and storing the validation outcomes, assisting to write logbook entries, creating and submitting the bad channels list to the conditions database and publishing the equipment performance history. The ATLAS operation increases amount of data that are retrieved, processed and stored by the web systems. In order to accomplish the new requirements, an optimized data model was designed to reduce the number of needed queries. The web systems were reassembled in a unique system in order to provide an integrated view of the validating process. The server load was minimized by using asynchronous requests from the browser.

  7. Functional Super Read Out Driver Demonstrator for the Phase II Upgrade of the Atlas Tile Calorimeter

    CERN Document Server

    Carrió, F; The ATLAS collaboration; Ferrer, A; González, V; Higón, E; Moreno, P; Sanchis, E; Solans, C; Valero, A; Valls, J

    2011-01-01

    This work presents the implementation of a functional super Read Out Driver (sROD) demonstrator for the Phase II Upgrade of the ATLAS Tile Calorimeter (TileCal) in the LHC experiment. The proposed front-end for the Phase II Upgrade communicates with back-end electronics using a multifiber optical connector with a data rate of 57.6 Gbps using the GBT protocol. This functional sROD demonstrator aims to help in the understanding of the problems that could arise in the upgrade of back-end electronics. The demonstrator is composed of three different boards that have been developed in the framework of ATLAS activities: the Optical Multiplexer Board (OMB), the Read-Out Driver (ROD) and the Optical Link Card (OLC). The first two boards, OMB and ROD, are part of the current back-end system where OMB receives two optical fibers with redundant data from front-end, performs online CRC for data and send to ROD the data from the error-free fiber; and ROD is the main element of the back-end electronics and it is responsible...

  8. ATLAS Story

    CERN Multimedia

    Nordberg, Markus

    2012-01-01

    This film produced in July 2012 explains how fundamental research connects to Society and what benefits collaborative way of working can and may generate in the future, using ATLAS Collaboration as a case study. The film is intellectually inspired by the book "Collisions and Collaboration" (OUP) by Max Boisot (ed.), see: collisionsandcollaboration.com. The film is directed by Andrew Millington (OMNI Communications)

  9. An in-beam test study of the response of calorimeters in the ATLAS Experiment of LHC to charged pions of 3 to 350 GeV energy range; Etude en faisceau-test de la reponse des calorimetres de l'Experience ATLAS du LHC a des pions charges, d'energie comprise entre 3 et 350 Gev

    Energy Technology Data Exchange (ETDEWEB)

    Giangiobbe Vincent [Ecole Doctorale des Sciences Fondamentales, Universite Blaise Pascal, U.F.R de Recherches Scientifiques et Techniques, 34, avenue Carnot - BP 185, 63006 Clermont-Ferrand Cedex (France)

    2006-11-15

    ATLAS is one of the four main experiments under way of installing within the Large Hadron Project (LHC). LHC will provide two proton beams of high luminosity (1 x 10{sup 34} cm{sup -2} s{sup -1} at peak), colliding in the center of ATLAS detector at a 14 TeV rated COM energy. The aim of this study is an in-beam test characterization of the response of calorimeters in the central part of ATLAS. The study will be focused on the response to pions as main jet components. In the beginning a short presentation of the ATLAS program of physics is given enlightening the basic theoretical and experimental aspects of the experiment. A description of the ATLAS detector is also presented. The second chapter is devoted to detailed description of the central calorimetry of ATLAS. One starts from the mechanism of signal production in calorimeters, through the electronic processing up to the reconstruction of the released energy. The third chapter deals with the processing electronics of the TileCal hadron calorimeter the installation and certification at CERN of which was in charge of Clermont-Ferrand team. The chapter 4 gives a description of the SPS beam line and of the associated instrumentation tested in-beam in 2004. The chapters 6 and 7 are devoted to the study of the response of calorimeters to high energy pions (within 20 to 350 GeV range). The pion selection is described in the chapter 5. In the eighth chapter the calorimeter response to low energy pions (up to 9 GeV) is examined. In conclusion this study has shown that the data concerning pions obtained in-beam in 2004 are usable for energies within 3 to 350 GeV. The response and the energy resolution of LAr and TileCal were measured with a satisfactory accuracy,. A systematic comparison of these results with simulations (in the configuration of in-beam test) can now be done. Should the agreement be satisfying, the modelling could be used for the study of calibration of calorimeter response for the case of works with the

  10. ATLAS Recordings

    CERN Multimedia

    Steven Goldfarb; Mitch McLachlan; Homer A. Neal

    Web Archives of ATLAS Plenary Sessions, Workshops, Meetings, and Tutorials from 2005 until this past month are available via the University of Michigan portal here. Most recent additions include the Trigger-Aware Analysis Tutorial by Monika Wielers on March 23 and the ROOT Workshop held at CERN on March 26-27.Viewing requires a standard web browser with RealPlayer plug-in (included in most browsers automatically) and works on any major platform. Lectures can be viewed directly over the web or downloaded locally.In addition, you will find access to a variety of general tutorials and events via the portal.Feedback WelcomeOur group is making arrangements now to record plenary sessions, tutorials, and other important ATLAS events for 2007. Your suggestions for potential recording, as well as your feedback on existing archives is always welcome. Please contact us at wlap@umich.edu. Thank you.Enjoy the Lectures!

  11. The Development of a General Purpose ARM-based Processing Unit for the TileCal sROD

    CERN Multimedia

    Cox, Mitchell A

    2014-01-01

    The Large Hadron Collider at CERN generates enormous amounts of raw data which present a serious computing challenge. After planned upgrades in 2022, the data output from the ATLAS Tile Calorimeter will increase by 200 times to 41 Tb/s! ARM processors are common in mobile devices due to their low cost, low energy consumption and high performance. It is proposed that a cost-effective, high data throughput Processing Unit (PU) can be developed by using several consumer ARM processors in a cluster configuration to allow aggregated processing performance and data throughput while maintaining minimal software design difficulty for the end-user. This PU could be used for a variety of high-level functions on the high-throughput raw data such as spectral analysis and histograms to detect possible issues in the detector at a low level. High-throughput I/O interfaces are not typical in consumer ARM System on Chips but high data throughput capabilities are feasible via the novel use of PCI-Express as the I/O interface t...

  12. Level 2 PRA for a German BWR

    International Nuclear Information System (INIS)

    A concept for a Level 2 Probabilistic Risk Assessment (L2 PRA) for a German Boiling Water Reactor (BWR) has been developed taking into account the role of L2 PRA within the German regulatory landscape. According to this concept, a plant specific evaluation of the severe accident phenomenology as well as analyses of the accident progression for the severe accident scenarios has been performed. Furthermore a plant specific MELCOR 1.8.6 model has been developed and special MELCOR source term calculations have been performed for the different release paths. This paper will present examples from the different areas described above. (author)

  13. ATLAS Recordings

    CERN Multimedia

    Jeremy Herr; Homer A. Neal; Mitch McLachlan

    The University of Michigan Web Archives for the 2006 ATLAS Week Plenary Sessions, as well as the first of 2007, are now online. In addition, there are a wide variety of Software and Physics Tutorial sessions, recorded over the past couple years, to chose from. All ATLAS-specific archives are accessible here.Viewing requires a standard web browser with RealPlayer plug-in (included in most browsers automatically) and works on any major platform. Lectures can be viewed directly over the web or downloaded locally.In addition, you will find access to a variety of general tutorials and events via the portal. Shaping Collaboration 2006The Michigan group is happy to announce a complete set of recordings from the Shaping Collaboration conference held last December at the CICG in Geneva.The event hosted a mix of Collaborative Tool experts and LHC Users, and featured presentations by the CERN Deputy Director General, Prof. Jos Engelen, the President of Internet2, and chief developers from VRVS/EVO, WLAP, and other tools...

  14. Electroweak Physics with ATLAS

    OpenAIRE

    Akhundov, Arif

    2008-01-01

    The precision measurements of electroweak parameters of the Standard Model with the ATLAS detector at LHC are reviewed. An emphasis is put on the bridge connecting the ATLAS measurements with the SM analysis at LEP/SLC and the Tevatron.

  15. Atlases: Complex models of geospace

    Directory of Open Access Journals (Sweden)

    Ikonović Vesna

    2005-01-01

    Full Text Available Atlas is modeled contexture contents of treated thematic of space on optimal map union. Atlases are higher form of cartography. Atlases content composition of maps which are different by projection, scale, format methods, contents, usage and so. Atlases can be classified by multi criteria. Modern classification of atlases by technology of making would be on: 1. classical or traditional (printed on paper and 2. electronic (made on electronic media - computer or computer station. Electronic atlases divided in three large groups: view-only electronic atlases, 2. interactive electronic atlases and 3. analytical electronic atlases.

  16. Development of level 2 PSA technology

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Dong Ha; Park, Soo Yong; Kim, See Darl; Song, Yong Mann; Ahn, Kwang Il; Park, Jae Wu; Jin, Young Ho

    1997-07-01

    The objective of this project is the development of the computer code system for level 2 probabilistic safety assessment (PSA) of nuclear power plants. The scope of the project can be divided into three areas. The first area is to develop the computer code (CONPAS) which can quantify the accident progression event trees. CONPAS beta version has been developed this year and it is comprised of four modules : (1) EDITOR for generating the event tree logic diagrams and (2) COMPUTER for event tree quantification and for additional use of the calculated results. (3) TEXT EDITOR and (4) CODE PLOTTER. Comparing with the existing computer code, the present code provides a flexible code reusability and user interface, convenient edition of logic diagram, data operation, and systematic quantification of the results. The methodology development of containment structural analysis is the second area. The specific tasks included the collection and analysis of the containment failure modes for the various containment types, and the methodology establishment for the containment structure analysis. Over twenty large dry PWR containments, the database for containment failure mode and pressure has been constructed and the simplified fragility model has been proposed to calculate the containment failure probability. They will be used as an important input not only in the containment analysis but also in the source term analysis. For the last, source term analyzing methodology and its applied computer code that is named as `KORSOR` are developed. KORSOR which used parametric model approach combined modules which consist of accident sequence input module via user`s logic rule, random sample generating module, parametric database module, and source term uncertainty quantification module. The characteristics of parametric data which use din the source term analyzing model is analyzed and the constructing idea and example for the parametric database is suggested. (author). 67 refs., 66 tabs

  17. Upgrade of the ATLAS Hadronic Calorimeter for High-Luminosity run

    CERN Document Server

    Spoor, Matthew; The ATLAS collaboration

    2016-01-01

    The Tile Calorimeter is the hadronic calorimeter covering the central region of the ATLAS detector at the Large Hadron Collider. It is a sampling calorimeter consisting of alternating thin steel plates and scintillating tiles. Wavelength shifting fibers coupled to the tiles collect the produced light and are read out by photomultiplier tubes. An analog sum of the processed signal of several photomultipliers serves as input to the first level of trigger. Photomultiplier signals are then digitized and stored on detector and are only transferred off detector once the first trigger acceptance has been confirmed. TileCal will undergo a major replacement of its on- and off-detector electronics for the high luminosity program of the LHC in 2024. All signals are digitized and then transferred directly to the off-detector electronics, where the signals are reconstructed, stored, and sent to the first level of trigger at a rate of 40 MHz. This will provide better precision of the calorimeter signals used by the trigger...

  18. Performance of the ATLAS Calorimeters in LHC Run-1 and Run-2

    CERN Document Server

    Burghgrave, Blake; The ATLAS collaboration

    2016-01-01

    The ATLAS experiment at the Large Hadron Collider (LHC) is equipped with electromagnetic and hadronic liquid-argon (LAr) calorimeters and a hadronic scintillator-steel sampling calorimeter (TileCal) for measuring energy and direction of final state particles in the pseudorapidity range |η|<4.9. The calibration and performance of the calorimetry system was established during beam tests, cosmic ray muon measurements and in particular the first three years of pp collision data-taking. During this period, referred to as Run-1, approximately 27~fb−1 of data have been collected at the center-of-mass energies of 7 and 8~TeV. Following a period of detector consolidation during a long shutdown, Run-2 started in 2015 with approximately 3.9~fb−1 of data at a center-of-mass energy of 13~TeV recorded in this year. Results on the calorimeter operation, monitoring and data quality, as well as their performance will be presented, including the calibration and stability of the electromagnetic scale, response uniformit...

  19. A NEW ELECTRONIC BOARD TO DRIVE THE LASER CALIBRATION SYSTEM OF THE ATLAS HADRON CALORIMETER

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00086824; The ATLAS collaboration

    2016-01-01

    The LASER calibration system of the ATLAS hadron calorimeter aims at monitoring the ~10000 PMTs of the TileCal. The LASER light injected in the PMTs is measured by sets of photodiodes at several stages of the optical path. The monitoring of the photodiodes is performed by a redundant internal calibration system using an LED, a radioactive source, and a charge injection system. The LASer Calibration Rod (LASCAR) electronics card is a major component of the LASER calibration scheme. Housed in a VME crate, its main components include a charge ADC, a TTCRx, a HOLA part, an interface to control the LASER, and a charge injection system. The 13 bits ADC is a 2000pc full-scale converter that processes up to 16 signals stemming from 11 photodiodes, 2 PMTs, and 3 charge injection channels. Two gains are used (x1 and x4) to increase the dynamic range and avoid a saturation of the LASER signal for high intensities. The TTCRx chip (designed by CERN) retrieves LHC signals to synchronize the LASCAR card with the collider. T...

  20. EnviroAtlas - Phoenix, AZ - Atlas Area Boundary

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset shows the boundary of the Phoenix, AZ Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area....

  1. EnviroAtlas - Portland, OR - Atlas Area Boundary

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset shows the boundary of the Portland, OR Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area....

  2. ATLAS Distributed Computing Automation

    CERN Document Server

    Schovancova, J; The ATLAS collaboration; Borrego, C; Campana, S; Di Girolamo, A; Elmsheuser, J; Hejbal, J; Kouba, T; Legger, F; Magradze, E; Medrano Llamas, R; Negri, G; Rinaldi, L; Sciacca, G; Serfon, C; Van Der Ster, D C

    2012-01-01

    The ATLAS Experiment benefits from computing resources distributed worldwide at more than 100 WLCG sites. The ATLAS Grid sites provide over 100k CPU job slots, over 100 PB of storage space on disk or tape. Monitoring of status of such a complex infrastructure is essential. The ATLAS Grid infrastructure is monitored 24/7 by two teams of shifters distributed world-wide, by the ATLAS Distributed Computing experts, and by site administrators. In this paper we summarize automation efforts performed within the ATLAS Distributed Computing team in order to reduce manpower costs and improve the reliability of the system. Different aspects of the automation process are described: from the ATLAS Grid site topology provided by the ATLAS Grid Information System, via automatic site testing by the HammerCloud, to automatic exclusion from production or analysis activities.

  3. ATLAS Muon Trigger

    CERN Document Server

    Woudstra, MJ; The ATLAS collaboration

    2013-01-01

    CERN’s Large Hadron Collider (LHC) is the highest energy proton-proton collider, providing also the highest instantaneous luminosity as a hadron collider. Bunch crossings occurred every 50 ns in 2012 runs. Amongst of which the online event selection system should reduce the event recording rate down to a few 100 Hz, while events are in a harsh condition with many overlapping proton-proton collisions occurring in a same bunch crossing. Muons often provide an important and clear signature of physics processes that are searched for, for instance as in the discovery of Higgs particle in year 2012. The ATLAS experiment deploys a three-levels processing scheme at online. The level-1 muon trigger system gets its input from fast muon trigger detectors. Fast sector logic boards select muon candidates, which are passed via an interface board to the central trigger processor and then to the High Level Trigger (HLT). The muon HLT is purely software based and encompasses a level-2 (L2) trigger followed by an event filte...

  4. The ATLAS Analysis Model

    CERN Multimedia

    Amir Farbin

    The ATLAS Analysis Model is a continually developing vision of how to reconcile physics analysis requirements with the ATLAS offline software and computing model constraints. In the past year this vision has influenced the evolution of the ATLAS Event Data Model, the Athena software framework, and physics analysis tools. These developments, along with the October Analysis Model Workshop and the planning for CSC analyses have led to a rapid refinement of the ATLAS Analysis Model in the past few months. This article introduces some of the relevant issues and presents the current vision of the future ATLAS Analysis Model. Event Data Model The ATLAS Event Data Model (EDM) consists of several levels of details, each targeted for a specific set of tasks. For example the Event Summary Data (ESD) stores calorimeter cells and tracking system hits thereby permitting many calibration and alignment tasks, but will be only accessible at particular computing sites with potentially large latency. In contrast, the Analysis...

  5. Comparative analysis of the pion and proton response in the ATLAS tile hadronic calorimeter

    International Nuclear Information System (INIS)

    During the 1997 test beam period, dedicated to the two extended modules zero (in natural scale) of the tile hadronic calorimeter, a special attention has been devoted to the H8 beamline Cherenkov Counter. The goal was to estimate the amount of protons present in positive pion beam at the H8 SPS beamline. Taking into account also the energy deposition in the calorimeter modules, the identification of pions, protons and muons was possible in the incident momentum interval 50 ≤ pbeam ≤ 180 GeV/c. For all the studied incident energies the existence of a significant amount of protons was observed and a comparative analysis between the pion and proton response in the ATLAS tile hadronic calorimeter (Tilecal) could be developed. In 1998 the barrel module zero was tested with five one meter prototypes placed on either sides (in azimuthal angle φ) of module zero and in this paper some recent results obtained using the 1998 test beam data are presented. The results obtained from the test beam data were systematically compared to the predictions of G-CALOR hadronic shower simulation package. Tilecal being a non-compensating calorimeter a value of the ratio between pion and proton response (i/p) different from unity is expected. Due to leading-pion charge exchange mechanism the purely electromagnetic component of the hadronic shower is greater for pions than for protons. As Tilecal is a over-compensating calorimeter with e/h > 1, the lower hadronic yield from pions has the consequence that protons produce a smaller signal than pions of the same energy. A higher signal for pions than for protons, i.e. a ratio π/p greater than unity is observed for all studied incident energies and pseudo-rapidities. A good agreement between the test beam data results and the predictions of G-CALOR simulations was observed. This good agreement gives also a confirmation of the validity of our method used for pion and proton separation. In our systematic comparison of the pion and proton

  6. The Irish Wind Atlas

    Energy Technology Data Exchange (ETDEWEB)

    Watson, R. [Univ. College Dublin, Dept. of Electronic and Electrical Engineering, Dublin (Ireland); Landberg, L. [Risoe National Lab., Meteorology and Wind Energy Dept., Roskilde (Denmark)

    1999-03-01

    The development work on the Irish Wind Atlas is nearing completion. The Irish Wind Atlas is an updated improved version of the Irish section of the European Wind Atlas. A map of the irish wind resource based on a WA{sup s}P analysis of the measured data and station description of 27 measuring stations is presented. The results of previously presented WA{sup s}P/KAMM runs show good agreement with these results. (au)

  7. Studying radiative B decays with the Atlas detector

    International Nuclear Information System (INIS)

    This thesis is dedicated to the study of radiative B decays with the ATLAS detector at the LHC (large hadron collider). Radiative decays belong to the rare decays family. Rare decays transitions involve flavor changing neutral currents (for example b → sγ), which are forbidden at the lowest order in the Standard Model. Therefore these processes occur only at the next order, thus involving penguin or box diagrams, which are very sensitive to 'new physics' contributions. The main goal of our study is to show that it would be possible to develop an online selection strategy for radiative B decays with the ATLAS detector. To this end, we have studied the treatment of low energy photons by the ATLAS electromagnetic calorimeter (ECal). Our analysis shows that ATLAS ECal will be efficient with these particles. This property is extensively used in the next section, where a selection strategy for radiative B decays is proposed. Indeed, we look for a low energy region of interest in the ECal as soon as the level 1 of the trigger. Then, photon identification cuts are performed in this region at level 2. However, a large part of the proposed selection scheme is also based on the inner detector, particularly at level 2. The final results show that large amounts of signal events could be collected in only one year by ATLAS. A preliminary significance (S/√B) estimation is also presented. Encouraging results concerning the observability of exclusive radiative B decays are obtained. (author)

  8. Studying radiative B decays with the Atlas detector; Etude des desintegrations radiatives des mesons B dans le detecteur ATLAS

    Energy Technology Data Exchange (ETDEWEB)

    Viret, S

    2004-09-01

    This thesis is dedicated to the study of radiative B decays with the ATLAS detector at the LHC (large hadron collider). Radiative decays belong to the rare decays family. Rare decays transitions involve flavor changing neutral currents (for example b {yields} s{gamma}), which are forbidden at the lowest order in the Standard Model. Therefore these processes occur only at the next order, thus involving penguin or box diagrams, which are very sensitive to 'new physics' contributions. The main goal of our study is to show that it would be possible to develop an online selection strategy for radiative B decays with the ATLAS detector. To this end, we have studied the treatment of low energy photons by the ATLAS electromagnetic calorimeter (ECal). Our analysis shows that ATLAS ECal will be efficient with these particles. This property is extensively used in the next section, where a selection strategy for radiative B decays is proposed. Indeed, we look for a low energy region of interest in the ECal as soon as the level 1 of the trigger. Then, photon identification cuts are performed in this region at level 2. However, a large part of the proposed selection scheme is also based on the inner detector, particularly at level 2. The final results show that large amounts of signal events could be collected in only one year by ATLAS. A preliminary significance (S/{radical}B) estimation is also presented. Encouraging results concerning the observability of exclusive radiative B decays are obtained. (author)

  9. The ATLAS pixel detector

    OpenAIRE

    Cristinziani, M.

    2007-01-01

    After a ten years planning and construction phase, the ATLAS pixel detector is nearing its completion and is scheduled to be integrated into the ATLAS detector to take data with the first LHC collisions in 2007. An overview of the construction is presented with particular emphasis on some of the major and most recent problems encountered and solved.

  10. ATLAS Thesis Awards 2015

    CERN Multimedia

    Biondi, Silvia

    2016-01-01

    Winners of the ATLAS Thesis Award were presented with certificates and glass cubes during a ceremony on Thursday 25 February. The winners also presented their work in front of members of the ATLAS Collaboration. Winners: Javier Montejo Berlingen, Barcelona (Spain), Ruth Pöttgen, Mainz (Germany), Nils Ruthmann, Freiburg (Germany), and Steven Schramm, Toronto (Canada).

  11. ATLAS-Hadronic Calorimeter

    CERN Multimedia

    2003-01-01

    Hall 180 work on Hadronic Calorimeter The ATLAS hadronic tile calorimeter The Tile Calorimeter, which constitutes the central section of the ATLAS hadronic calorimeter, is a non-compensating sampling device made of iron and scintillating tiles. (IEEE Trans. Nucl. Sci. 53 (2006) 1275-81)

  12. ATLAS TV PROJECT

    CERN Multimedia

    2005-01-01

    La Givrine near St Cergue Cross Country Skiing and Fondue at Basse Ruche with M Nordberg, P Jenni, M Nessi, F Gianotti and Co. ATLAS Management Fondu dinner, reviewing state of play of the experiment Many fun scenes from cross country skiing and after 41 minutes of the film starts the fondue dinner in a nice chalet with many persons working for ATLAS experiment

  13. ATLAS TV PROJECT

    CERN Multimedia

    2005-01-01

    Budker Nuclear Physics Institute, Novosibirsk Sequence 1 Shots of aircraft factory where machining for ATLAS is done Shots of aircraft Work on components for ATLAS big wheel Discussions between Tikhonov and Nordberg in workshop Sequence 2 Shots of downtown Novosibirsk, including little church which is mid-point of Russian Federation Sequence 3 Interview of Yuri Tikhonov by Andrew Millington

  14. A Slice of ATLAS

    CERN Multimedia

    2004-01-01

    An entire section of the ATLAS detector is being assembled at Prévessin. Since May the components have been tested using a beam from the SPS, giving the ATLAS team valuable experience of operating the detector as well as an opportunity to debug the system.

  15. ATLAS brochure (Spanish version)

    CERN Multimedia

    Lefevre, C

    2008-01-01

    ATLAS is the largest detector at the LHC, the most powerful particle accelerator in the world, which will start up in 2008. ATLAS is a multi-purpose detector, designed to throw light on fundamental questions such as the origin of mass and the nature of the Universe's dark matter.

  16. ATLAS Visitors Centre

    CERN Multimedia

    claudia Marcelloni

    2009-01-01

    ATLAS Visitors Centre has opened its shiny new doors to the public. Officially launched on Monday February 23rd, 2009, the permanent exhibition at Point 1 was conceived as a tour resource for ATLAS guides, and as a way to preserve the public’s opportunity to get a close-up look at the experiment in action when the cavern is sealed.

  17. ATLAS people can run!

    CERN Multimedia

    Claudia Marcelloni de Oliveira; Pauline Gagnon

    It must be all the training we are getting every day, running around trying to get everything ready for the start of the LHC next year. This year, the ATLAS runners were in fine form and came in force. Nine ATLAS teams signed up for the 37th Annual CERN Relay Race with six runners per team. Under a blasting sun on Wednesday 23rd May 2007, each team covered the distances of 1000m, 800m, 800m, 500m, 500m and 300m taking the runners around the whole Meyrin site, hills included. A small reception took place in the ATLAS secretariat a week later to award the ATLAS Cup to the best ATLAS team. For the details on this complex calculation which takes into account the age of each runner, their gender and the color of their shoes, see the July 2006 issue of ATLAS e-news. The ATLAS Running Athena Team, the only all-women team enrolled this year, won the much coveted ATLAS Cup for the second year in a row. In fact, they are so good that Peter Schmid and Patrick Fassnacht are wondering about reducing the women's bonus in...

  18. The ATLAS tile calorimeter

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    Louis Rose-Dulcina, a technician from the ATLAS collaboration, works on the ATLAS tile calorimeter. Special manufacturing techniques were developed to mass produce the thousands of elements in this detector. Tile detectors are made in a sandwich-like structure where these scintillator tiles are placed between metal sheets.

  19. ATLAS rewards industry

    CERN Multimedia

    Maximilien Brice

    2006-01-01

    For contributing vital pieces to the ATLAS puzzle, three industries were recognized on Friday 5 May during a supplier awards ceremony. After a welcome and overview of the ATLAS experiment by spokesperson Peter Jenni, CERN Secretary-General Maximilian Metzger stressed the importance of industry to CERN's scientific goals. Picture 30 : representatives of the three award-wining companies after the ceremony

  20. ATLAS brochure (German version)

    CERN Multimedia

    Lefevre, C

    2012-01-01

    ATLAS is the largest detector at the LHC, the most powerful particle accelerator in the world. ATLAS is a multi-purpose detector, designed to throw light on fundamental questions such as the origin of mass and the nature of the Universe's dark matter.

  1. ATLAS brochure (French version)

    CERN Multimedia

    Lefevre, C

    2012-01-01

    ATLAS is the largest detector at the LHC, the most powerful particle accelerator in the world. ATLAS is a multi-purpose detector, designed to throw light on fundamental questions such as the origin of mass and the nature of the Universe's dark matter.

  2. ATLAS' major cooling project

    CERN Document Server

    2005-01-01

    In 2005, a considerable effort has been put into commissioning the various units of ATLAS' complex cryogenic system. This is in preparation for the imminent cooling of some of the largest components of the detector in their final underground configuration. The liquid helium and nitrogen ATLAS refrigerators in USA 15. Cryogenics plays a vital role in operating massive detectors such as ATLAS. In many ways the liquefied argon, nitrogen and helium are the life-blood of the detector. ATLAS could not function without cryogens that will be constantly pumped via proximity systems to the superconducting magnets and subdetectors. In recent weeks compressors at the surface and underground refrigerators, dewars, pumps, linkages and all manner of other components related to the cryogenic system have been tested and commissioned. Fifty metres underground The helium and nitrogen refrigerators, installed inside the service cavern, are an important part of the ATLAS cryogenic system. Two independent helium refrigerators ...

  3. ATLAS Virtual Visits

    CERN Document Server

    Goldfarb, Steven; The ATLAS collaboration

    2015-01-01

    ATLAS Virtual Visits is a project initiated in 2011 for the Education & Outreach program of the ATLAS Experiment at CERN. Its goal is to promote public appreciation of the LHC physics program and particle physics, in general, through direct dialogue between ATLAS physicists and remote audiences. A Virtual Visit is an IP-based videoconference, coupled with a public webcast and video recording, between ATLAS physicists and remote locations around the world, that typically include high school or university classrooms, Masterclasses, science fairs, or other special events, usually hosted by collaboration members. Over the past two years, more than 10,000 people, from all of the world’s continents, have actively participated in ATLAS Virtual Visits, with many more enjoying the experience from the publicly available webcasts and recordings. We present an overview of our experience and discuss potential development for the future.

  4. Software Validation in ATLAS

    International Nuclear Information System (INIS)

    The ATLAS collaboration operates an extensive set of protocols to validate the quality of the offline software in a timely manner. This is essential in order to process the large amounts of data being collected by the ATLAS detector in 2011 without complications on the offline software side. We will discuss a number of different strategies used to validate the ATLAS offline software; running the ATLAS framework software, Athena, in a variety of configurations daily on each nightly build via the ATLAS Nightly System (ATN) and Run Time Tester (RTT) systems; the monitoring of these tests and checking the compilation of the software via distributed teams of rotating shifters; monitoring of and follow up on bug reports by the shifter teams and periodic software cleaning weeks to improve the quality of the offline software further.

  5. Dear ATLAS colleagues,

    CERN Multimedia

    PH Department

    2008-01-01

    We are collecting old pairs of glasses to take out to Mali, where they can be re-used by people there. The price for a pair of glasses can often exceed 3 months salary, so they are prohibitively expensive for many people. If you have any old spectacles you can donate, please put them in the special box in the ATLAS secretariat, bldg.40-4-D01 before the Christmas closure on 19 December so we can take them with us when we leave for Africa at the end of the month. (more details in ATLAS e-news edition of 29 September 2008: http://atlas-service-enews.web.cern.ch/atlas-service-enews/news/news_mali.php) many thanks! Katharine Leney co-driver of the ATLAS car on the Charity Run to Mali

  6. A Pumping Lemma for Collapsible Pushdown Graphs of Level 2

    OpenAIRE

    Kartzow, Alexander

    2011-01-01

    We present a pumping lemma for the class of collapsible pushdown graphs of level 2. This pumping lemma even applies to epsilon-contractions of level 2 collapsible pushdown graphs. Our pumping lemma also improves the bounds of Hayashi's pumping lemma for indexed languages.

  7. Migration to Risk Spectrum PSA Level 2 internal events

    International Nuclear Information System (INIS)

    The paper is part of the APS model development level 2 internal events. According to the Spanish regulatory requirements and especially the recent safety instruction IS-25, Level 2 models are becoming increasingly important within the probabilistic safety analysis of the Spanish nuclear power plants, thus requiring accurate and efficient implementation such models, together with a systematic analysis thereof.

  8. The design and performance of the ATLAS jet trigger

    International Nuclear Information System (INIS)

    The ATLAS jet trigger is an important element of the event selection process, providing data samples for studies of Standard Model physics and searches for new physics at the LHC. The ATLAS jet trigger system has undergone substantial modifications over the past few years of LHC operations, as experience developed with triggering in a high luminosity and high event pileup environment. In particular, the region-of-interest based strategy has been replaced by a full scan of the calorimeter data at the third trigger level, and by a full scan of the level-1 trigger input at level-2 for some specific trigger chains. Hadronic calibration and cleaning techniques are applied in order to provide improved performance and increased stability in high luminosity data taking conditions. In this note we discuss the implementation and operational aspects of the ATLAS jet trigger during 2011 and 2012 data taking periods at the LHC.

  9. ATLAS Forward Detectors and Physics

    CERN Document Server

    Soni, N

    2010-01-01

    In this communication I describe the ATLAS forward physics program and the detectors, LUCID, ZDC and ALFA that have been designed to meet this experimental challenge. In addition to their primary role in the determination of ATLAS luminosity these detectors - in conjunction with the main ATLAS detector - will be used to study soft QCD and diffractive physics in the initial low luminosity phase of ATLAS running. Finally, I will briefly describe the ATLAS Forward Proton (AFP) project that currently represents the future of the ATLAS forward physics program.

  10. The ATLAS experience and its relevance to the data acquisition of the BM@N experiment at the NICA complex

    Science.gov (United States)

    Tomiwa, K. G.; Slepnev, I.; Bazylev, S.; Mellado, B.

    2016-01-01

    The quest to understand the world around us has increased the size of high energy physics experiments and the processing rate of the data output from high energy experiments. The Large Hadron Collider is the largest experimental set-up known, with ATLAS detector as one of the detectors built to record proton-proton collision at about 10 PB/s (Petabit/s) around the LHC interaction point. With the Phase-II upgrade in 2022 this data output will increase by at least 10 times higher than those of today due to luminosity increase, this poses a serious challenge on processing and storage of the data. Also the BM@N fixed target experiment is expected to have event size of about 80,000 bytes/Event, leading to huge amount of data output to be processed in real time. Experimentalists handle these challenges by developing High-throughput electronic, with the capability of processing and reducing big data to scientific data in real time. One of these high-throughput electronics is the Super Readout Driver (sROD) and ARM-based processing unit (PU) developed for ATLAS TileCal detector by the University of the Witwatersrand. The sROD is designed to process data from Tile Calorimeter at 40 MHz. This work takes a look at the architecture of the data acquisition (DAQ) system of the BM@N detectors and the adaptation of the high-throughput systems to last stage of the BM@N DAQ system.

  11. EnviroAtlas - Memphis, TN - EnviroAtlas Community Boundary

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset shows the boundary of the Memphis, TN EnviroAtlas Community. It represents the outside edge of all the block groups included in the...

  12. ATLAS Event - First Splash of Particles in ATLAS

    CERN Multimedia

    ATLAS Outreach

    2008-01-01

    A simulated event. September 10, 2008 - The ATLAS detector lit up as a flood of particles traversed the detector when the beam was occasionally directed at a target near ATLAS. This allowed ATLAS physicists to study how well the various components of the detector were functioning in preparation for the forthcoming collisions. The first ATLAS data recorded on September 10, 2008 is seen here. Running time 24 seconds

  13. ATLAS TV PROJECT

    CERN Multimedia

    OMNI communication

    2006-01-01

    CERN, Building 40 Interview with theorist Mr. Philip Hinchliffe (Berkeley) as well an interview with his wife Mrs. Hinchliffe who is also Physics Department head at Berkeley. They are both working in ATLAS Experiment.

  14. ATLAS TV PROJECT

    CERN Multimedia

    OMNI communication

    2005-01-01

    ATLAS Physics Workshop at the University of Roma Tre held from Monday 06 June 2005 to Saturday 11 June 2005. Experts establishing workshop, poster, people milling Shots of Peter Jenni introduction Many audience shots Sequences from various talks

  15. Printed circuit for ATLAS

    CERN Multimedia

    Laurent Guiraud

    1999-01-01

    A printed circuit board made by scientists in the ATLAS collaboration for the transition radiaton tracker (TRT). This will read data produced when a high energy particle crosses the boundary between two materials with different electrical properties.

  16. California Ocean Uses Atlas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is a result of the California Ocean Uses Atlas Project: a collaboration between NOAA's National Marine Protected Areas Center and Marine Conservation...

  17. PeptideAtlas

    Data.gov (United States)

    U.S. Department of Health & Human Services — PeptideAtlas is a multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass...

  18. ATLAS Distributed Computing

    CERN Document Server

    Schovancova, J; The ATLAS collaboration

    2011-01-01

    The poster details the different aspects of the ATLAS Distributed Computing experience after the first year of LHC data taking. We describe the performance of the ATLAS distributed computing system and the lessons learned during the 2010 run, pointing out parts of the system which were in a good shape, and also spotting areas which required improvements. Improvements ranged from hardware upgrade on the ATLAS Tier-0 computing pools to improve data distribution rates, tuning of FTS channels between CERN and Tier-1s, and studying data access patterns for Grid analysis to improve the global processing rate. We show recent software development driven by operational needs with emphasis on data management and job execution in the ATLAS production system.

  19. General Dynamics Atlas family

    Science.gov (United States)

    Oates, James

    Developments concerning the Atlas family of launch vehicles over the last three or four years are summarized. Attention is given to the center of gravity, load factors, acoustics, pyroshock, low-frequency sinusoidal vibration, and high-frequency random vibration.

  20. ATLAS Cavern baseplate

    CERN Multimedia

    2002-01-01

    This video shows the incredible amounth of iron used for ATLAS cavern. Please look at the related links and also videos that are concerning the civil engineering where you can see even more detailed cavern excavation work.

  1. The Latest from ATLAS

    CERN Multimedia

    2009-01-01

    Since November 2008, ATLAS has undertaken detailed maintenance, consolidation and repair work on the detector (see Bulletin of 20 July 2009). Today, the fraction of the detector that is operational has increased compared to last year: less than 1% of dead channels for most of the sub-systems. "We are going to start taking data this year with a detector which is even more efficient than it was last year," agrees ATLAS Spokesperson, Fabiola Gianotti. By mid-September the detector was fully closed again, and the cavern sealed. The magnet system has been operated at nominal current for extensive periods over recent months. Once the cavern was sealed, ATLAS began two weeks of combined running. Right now, subsystems are joining the run incrementally until the point where the whole detector is integrated and running as one. In the words of ATLAS Technical Coordinator, Marzio Nessi: "Now we really start physics." In parallel, the analysis ...

  2. ATLAS Metadata Task Force

    Energy Technology Data Exchange (ETDEWEB)

    ATLAS Collaboration; Costanzo, D.; Cranshaw, J.; Gadomski, S.; Jezequel, S.; Klimentov, A.; Lehmann Miotto, G.; Malon, D.; Mornacchi, G.; Nemethy, P.; Pauly, T.; von der Schmitt, H.; Barberis, D.; Gianotti, F.; Hinchliffe, I.; Mapelli, L.; Quarrie, D.; Stapnes, S.

    2007-04-04

    This document provides an overview of the metadata, which are needed to characterizeATLAS event data at different levels (a complete run, data streams within a run, luminosity blocks within a run, individual events).

  3. MISR Level 2 FIRSTLOOK Aerosol parameters V001

    Data.gov (United States)

    National Aeronautics and Space Administration — This is the Level 2 FIRSTLOOK Aerosol Product. It contains Aerosol optical depth and particle type, with associated atmospheric data, produced using ancillary...

  4. MISR Level 2 TOA/Cloud Classifier parameters V003

    Data.gov (United States)

    National Aeronautics and Space Administration — This is the Level 2 TOA/Cloud Classifiers Product. It contains the Angular Signature Cloud Mask (ASCM), Regional Cloud Classifiers, Cloud Shadow Mask, and...

  5. MISR Level 2 TOA/Cloud Stereo parameters V002

    Data.gov (United States)

    National Aeronautics and Space Administration — This is the Level 2 TOA/Cloud Stereo Product. It contains the Stereoscopically Derived Cloud Mask (SDCM), cloud winds, Reflecting Level Reference Altitude (RLRA),...

  6. GPM, GMI Level 2A Radiometer Profiling VV03C

    Data.gov (United States)

    National Aeronautics and Space Administration — The 2AGPROF (also known as, GPM GPROF (Level 2)) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive...

  7. MISR Level 2 FIRSTLOOK Surface parameters V001

    Data.gov (United States)

    National Aeronautics and Space Administration — This Level 2 FIRSTLOOK Land Surface product contains directional reflectance properties,albedo(spectral to study, on a global basis,the magnitude and natural...

  8. ATLAS Transitional Radiation Tracker

    CERN Multimedia

    ATLAS Outreach

    2006-01-01

    This colorful 3D animation is an excerpt from the film "ATLAS-Episode II, The Particles Strike Back." Shot with a bug's eye view of the inside of the detector. The viewer is taken on a tour of the inner workings of the transitional radiation tracker within the ATLAS detector. Subjects covered include what the tracker is used to measure, its structure, what happens when particles pass through the tracker, how it distinguishes between different types of particles within it.

  9. ATLAS physics results

    CERN Document Server

    Mitsou, Vasiliki A

    2015-01-01

    The ATLAS experiment at the Large Hadron Collider at CERN has been successfully taking data since the end of 2009 in proton-proton collisions at centre-of-mass energies of 7 and 8 TeV, and in heavy ion collisions. In these lectures, some of the most recent ATLAS results will be given on Standard Model measurements, the discovery of the Higgs boson, searches for supersymmetry and exotics and on heavy-ion results.

  10. ATLAS Jet Energy Scale

    OpenAIRE

    D. Schouten; Tanasijczuk, A.; Vetterli, M.(Department of Physics, Simon Fraser University, Burnaby, BC, Canada); Collaboration, for the ATLAS

    2012-01-01

    Jets originating from the fragmentation of quarks and gluons are the most common, and complicated, final state objects produced at hadron colliders. A precise knowledge of their energy calibration is therefore of great importance at experiments at the Large Hadron Collider at CERN, while is very difficult to ascertain. We present in-situ techniques and results for the jet energy scale at ATLAS using recent collision data. ATLAS has demonstrated an understanding of the necessary jet energy cor...

  11. ATLAS distributed analysis

    OpenAIRE

    Adams, David; Branco, Miguel; Albrand, Solveig; Rybkine, G.; Orellana, F.; Liko, D.; Tan C.L.; Deng, W.; C. KANNAN; Harrison Karl; Fassi, Farida; Fulachier, J.; Chetan, N.; Haeberli, C.; Soroko, A.

    2004-01-01

    The ATLAS distributed analysis (ADA) system is described. The ATLAS experiment has more that 2000 physicists from 150 insititutions in 34 countries. Users, data and processing are distributed over these sites. ADA makes use of a collection of high-level web services whose interfaces are expressed in terms of AJDL (abstract job definition language) which includes descriptions of datasets, transformations and jobs. The high-level services are implemented using generic parts...

  12. Recent Developments in Level 2 PSA and Severe Accident Management

    International Nuclear Information System (INIS)

    In 1997, CSNI WGRISK produced a report on the state of the art in Level 2 PSA and severe accident management - NEA/CSNI/R(1997)11. Since then, there have been significant developments in that more Level 2 PSAs have been carried out worldwide for a variety of nuclear power plant designs including some that were not addressed in the original report. In addition, there is now a better understanding of the severe accident phenomena that can occur following core damage and the way that they should be modelled in the PSA. As requested by CSNI in December 2005, the objective of this study was to produce a report that updates the original report and gives an account of the developments that have taken place since 1997. The aim has been to capture the most significant new developments that have occurred rather than to provide a full update of the original report, most of which is still valid. This report is organised using the same structure as the original report as follows: Chapter 2: Summary on state of application, results and insights from recent Level 2 PSAs. Chapter 3: Discussion on key severe accident phenomena and modelling issues, identification of severe accident issues that should be treated in Level 2 PSAs for accident management applications, review of severe accident computer codes and the use of these codes in Level 2 PSAs. Chapter 4: Review of approaches and practices for accident management and SAM, evaluation of actions in Level 2 PSAs. Chapter 5: Review of available Level 2 PSA methodologies, including accident progression event tree / containment event tree development. Chapter 6: Aspects important to quantification, including the use of expert judgement and treatment of uncertainties. Chapter 7: Examples of the use of the results and insights from the Level 2 PSA in the context of an integrated (risk informed) decision making process

  13. Level 2 probabilistic safety assessment of the Paks NPP

    International Nuclear Information System (INIS)

    An overview of the objectives, scope and organization of level 2 PSA of the Paks NPP is presented, including phases of the level 2, interface with level 1 and grouping of sequences. The performed containment event trees analysis, conditional probability of nodes and release categories description are discussed and main results are illustrated. The objective, present situation and two strategies for accident management are given. The results for the containment performance analysis are also shown

  14. ATLAS Facility Description Report

    International Nuclear Information System (INIS)

    A thermal-hydraulic integral effect test facility, ATLAS (Advanced Thermal-hydraulic Test Loop for Accident Simulation), has been constructed at KAERI (Korea Atomic Energy Research Institute). The ATLAS has the same two-loop features as the APR1400 and is designed according to the well-known scaling method suggested by Ishii and Kataoka to simulate the various test scenarios as realistically as possible. It is a half-height and 1/288-volume scaled test facility with respect to the APR1400. The fluid system of the ATLAS consists of a primary system, a secondary system, a safety injection system, a break simulating system, a containment simulating system, and auxiliary systems. The primary system includes a reactor vessel, two hot legs, four cold legs, a pressurizer, four reactor coolant pumps, and two steam generators. The secondary system of the ATLAS is simplified to be of a circulating loop-type. Most of the safety injection features of the APR1400 and the OPR1000 are incorporated into the safety injection system of the ATLAS. In the ATLAS test facility, about 1300 instrumentations are installed to precisely investigate the thermal-hydraulic behavior in simulation of the various test scenarios. This report describes the scaling methodology, the geometric data of the individual component, and the specification and the location of the instrumentations in detail

  15. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    1999-01-01

    Different phases of realisation to Point 1 : zone of the ATLAS experiment The ATLAS experimental area is located in Point 1, just across the main CERN entrance, in the commune of Meyrin. There people are ever so busy to finish the different infrastructures for ATLAS. Real underground video. The film has original working sound.

  16. A Hardware Track Finder for ATLAS Trigger

    CERN Document Server

    Volpi, G; The ATLAS collaboration; Andreazza, A; Citterio, M; Favareto, A; Liberali, V; Meroni, C; Riva, M; Sabatini, F; Stabile, A; Annovi, A; Beretta, M; Castegnaro, A; Bevacqua, V; Crescioli, F; Francesco, C; Dell'Orso, M; Giannetti, P; Magalotti, D; Piendibene, M; Roda, C; Sacco, I; Tripiccione, R; Fabbri, L; Franchini, M; Giorgi, F; Giannuzzi, F; Lasagni, F; Sbarra, C; Valentinetti, S; Villa, M; Zoccoli, A; Lanza, A; Negri, A; Vercesi, V; Bogdan, M; Boveia, A; Canelli, F; Cheng, Y; Dunford, M; Li, H L; Kapliy, A; Kim, Y K; Melachrinos, C; Shochet, M; Tang, F; Tang, J; Tuggle, J; Tompkins, L; Webster, J; Atkinson, M; Cavaliere, V; Chang, P; Kasten, M; McCarn, A; Neubauer, M; Hoff, J; Liu, T; Okumura, Y; Olsen, J; Penning, B; Todri, A; Wu, J; Drake, G; Proudfoot, J; Zhang, J; Blair, R; Anderson, J; Auerbach, B; Blazey, G; Kimura, N; Yorita, K; Sakurai, Y; Mitani, T; Iizawa, T

    2012-01-01

    The existing three level ATLAS trigger system is deployed to reduce the event rate from the bunch crossing rate of 40 MHz to ~400 Hz for permanent storage at the LHC design luminosity of 10^34 cm^-2 s^-1. When the LHC reaches beyond the design luminosity, the load on the Level-2 trigger system will significantly increase due to both the need for more sophisticated algorithms to suppress background and the larger event sizes. The Fast TracKer (FTK) is a custom electronics system that will operate at the full Level-1 accepted rate of 100 KHz and provide high quality tracks at the beginning of processing in the Level-2 trigger, by performing track reconstruction in hardware with massive parallelism of associative memories and FPGAs. The performance in important physics areas including b-tagging, tau-tagging and lepton isolation will be demonstrated with the ATLAS MC simulation at different LHC luminosities. The system design will be overviewed. The latest R&amp;amp;D progress of individual components...

  17. Seabrook Station Level 2 PRA Update to Include Accident Management

    International Nuclear Information System (INIS)

    A ground-breaking study was recently completed as part of the Seabrook Level 2 PRA update. This study updates the post-core damage phenomena to be consistent with the most recent information and includes accident management activities that should be modeled in the Level 2 PRA. Overall, the result is a Level 2 PRA that fully meets the requirements of the ASME PRA Standard with respect to modeling accident management in the LERF assessment and NRC requirements in Regulatory Guide 1.174 for considering late containment failures. This technical paper deals only with the incorporation of operator actions into the Level 2 PRA based on a comprehensive study of the Seabrook Station accident response procedures and guidance. The paper describes the process used to identify the key operator actions that can influence the Level 2 PRA results and the development of success criteria for these key operator actions. This addresses a key requirement of the ASME PRA Standard for considering SAMG. An important benefit of this assessment was the identification of Seabrook specific accident management insights that can be fed back into the Seabrook Station accident management procedures and guidance or the training provided to plant personnel for these procedures and guidance. (authors)

  18. Level 2 PSA methodology and severe accident management

    International Nuclear Information System (INIS)

    The objective of the work was to review current Level 2-PSA (Probabilistic Safety Assessment) methodologies and practices and to investigate how Level 2-PSA can support severe accident management programmes, i.e. the development, implementation, training and optimisation of accident management strategies and measures. For the most part, the presented material reflects the state in 1996. Current Level 2 PSA results and methodologies are reviewed and evaluated with respect to plant type specific and generic insights. Approaches and practices for using PSA results in the regulatory context and for supporting severe accident management programmes by input from level 2 PSAs are examined. The work is based on information contained in: PSA procedure guides, PSA review guides and regulatory guides for the use of PSA results in risk informed decision making; plant specific PSAs and PSA related literature exemplifying specific procedures, methods, analytical models, relevant input data and important results, use of computer codes and results of code calculations. The PSAs are evaluated with respect to results and insights. In the conclusion section, the present state of risk informed decision making, in particular in the level 2 domain, is described and substantiated by relevant examples

  19. ATLAS Review Office

    CERN Multimedia

    Szeless, B

    The ATLAS internal reviews, be it the mandatory Production Readiness Reviews, the now newly installed Production Advancement Reviews, or the more and more requested different Design Reviews, have become a part of our ATLAS culture over the past years. The Activity Systems Status Overviews are, for the time being, a one in time event and should be held for each system as soon as possible to have some meaning. There seems to a consensus that the reviews have become a useful project tool for the ATLAS management but even more so for the sub-systems themselves making achievements as well as possible shortcomings visible. One other recognized byproduct is the increasing cross talk between the systems, a very important ingredient to make profit all the systems from the large collective knowledge we dispose of in ATLAS. In the last two months, the first two PARs were organized for the MDT End Caps and the TRT Barrel Modules, both part of the US contribution to the ATLAS Project. Furthermore several different design...

  20. ATLAS: Exceeding all expectations

    CERN Multimedia

    CERN Bulletin

    2010-01-01

    “One year ago it would have been impossible for us to guess that the machine and the experiments could achieve so much so quickly”, says Fabiola Gianotti, ATLAS spokesperson. The whole chain – from collision to data analysis – has worked remarkably well in ATLAS.   The first LHC proton run undoubtedly exceeded expectations for the ATLAS experiment. “ATLAS has worked very well since the beginning. Its overall data-taking efficiency is greater than 90%”, says Fabiola Gianotti. “The quality and maturity of the reconstruction and simulation software turned out to be better than we expected for this initial stage of the experiment. The Grid is a great success, and right from the beginning it has allowed members of the collaboration all over the world to participate in the data analysis in an effective and timely manner, and to deliver physics results very quickly”. In just a few months of data taking, ATLAS has observed t...

  1. Distributed analysis in ATLAS

    Science.gov (United States)

    Dewhurst, A.; Legger, F.

    2015-12-01

    The ATLAS experiment accumulated more than 140 PB of data during the first run of the Large Hadron Collider (LHC) at CERN. The analysis of such an amount of data is a challenging task for the distributed physics community. The Distributed Analysis (DA) system of the ATLAS experiment is an established and stable component of the ATLAS distributed computing operations. About half a million user jobs are running daily on DA resources, submitted by more than 1500 ATLAS physicists. The reliability of the DA system during the first run of the LHC and the following shutdown period has been high thanks to the continuous automatic validation of the distributed analysis sites and the user support provided by a dedicated team of expert shifters. During the LHC shutdown, the ATLAS computing model has undergone several changes to improve the analysis workflows, including the re-design of the production system, a new analysis data format and event model, and the development of common reduction and analysis frameworks. We report on the impact such changes have on the DA infrastructure, describe the new DA components, and include recent performance measurements.

  2. Distributed analysis in ATLAS

    CERN Document Server

    Legger, Federica; The ATLAS collaboration

    2015-01-01

    The ATLAS experiment accumulated more than 140 PB of data during the first run of the Large Hadron Collider (LHC) at CERN. The analysis of such an amount of data for the distributed physics community is a challenging task. The Distributed Analysis (DA) system of the ATLAS experiment is an established and stable component of the ATLAS distributed computing operations. About half a million user jobs are daily running on DA resources, submitted by more than 1500 ATLAS physicists. The reliability of the DA system during the first run of the LHC and the following shutdown period has been high thanks to the continuous automatic validation of the distributed analysis sites and the user support provided by a dedicated team of expert shifters. During the LHC shutdown, the ATLAS computing model has undergone several changes to improve the analysis workflows, including the re-design of the production system, a new analysis data format and event model, and the development of common reduction and analysis frameworks. We r...

  3. EnviroAtlas - Metrics for Austin, TX

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas). The layers in this...

  4. Accident sequence precursor analysis level 2/3 model development

    Energy Technology Data Exchange (ETDEWEB)

    Lui, C.H. [Nuclear Regulatory Commission, Washington, DC (United States); Galyean, W.J.; Brownson, D.A. [Idaho National Engineering Lab., Idaho Falls, ID (United States)] [and others

    1997-02-01

    The US Nuclear Regulatory Commission`s Accident Sequence Precursor (ASP) program currently uses simple Level 1 models to assess the conditional core damage probability for operational events occurring in commercial nuclear power plants (NPP). Since not all accident sequences leading to core damage will result in the same radiological consequences, it is necessary to develop simple Level 2/3 models that can be used to analyze the response of the NPP containment structure in the context of a core damage accident, estimate the magnitude of the resulting radioactive releases to the environment, and calculate the consequences associated with these releases. The simple Level 2/3 model development work was initiated in 1995, and several prototype models have been completed. Once developed, these simple Level 2/3 models are linked to the simple Level 1 models to provide risk perspectives for operational events. This paper describes the methods implemented for the development of these simple Level 2/3 ASP models, and the linkage process to the existing Level 1 models.

  5. Level 2 PSA applications. Focus on advanced containment systems

    International Nuclear Information System (INIS)

    Use of PSA Level 1 results for PSA application on system design, operation testing and maintenance is common practice, e.g. by living PSA and risk-informed decision making. New or modernized NPP include both core melt prevention and mitigating features which improve the performance of the plant to cope with severe accidents. PSA Level 1 is not well suited for PSA application on systems, structures and components designed to mitigate severe accident scenarios, as the impact on the core damage frequency (CDF) is usually negligible. Instead, the PSA applications on such systems need to be based on the impact on Level 2 PSA results. Most commonly the large early release frequency (LERF) is calculated as PSA Level 2 result. If PSA application on severe accident mitigation systems are based on LERF later and smaller releases might not be addressed correctly. In this presentation, the source term risk, which is calculated by multiplying the frequency of the release with the size of the release, is used as additional risk measure. Both the LERF and the source term risk are important measures and provide rationale for different types of systems. However, these measures can only be evaluated correctly if a best-estimate approach is used for Level 2 PSA. If possible conservatisms from Level 1 PSA are transferred to the Level 2 PSA, this may skew the result and misrepresent the impact of mitigating systems. This paper illustrates the possible uses of a Level 2 PSA results for PSA application and provides examples of systems in existing NPP for which the risk impact can only be evaluated based on Level 2 PSA results. Examples of such systems are: Passive hydrogen recombiners (PARs), Filtered containment venting, Containment isolation. Review of periodic testing strategy by risk informed periodic testing is an essential PSA application. The most important parameter is the test interval of components modeled in the Fault Tree modeling of the PSA. To be able to evaluate the

  6. The ATLAS tau trigger

    CERN Document Server

    Casado, MP; Benslama, K; Bosman, M; Brenner, R; Czyczula, Z; Dam, M; Demers, S; Farrington, S; Igonkina, O; Kalinowski, A; Kanaya, N; Osuna, C; Pérez, E; Ptacek, E; Reinsch, A; Saavedra, A; Sfyrla, A; Shamin, M; Sopczak, A; Strom, D; Torrence, E; Tsuno, S; Vorwerk, V; Watson, A; Xella, S

    2008-01-01

    The implementation of a trigger for hadronically decaying tau leptons at the Large Hadronic Collider (LHC) is challenging due to the high background rate, on the other hand it increases tremendously the discovery potential of ATLAS in searches for Standard Model (SM) or Supersymmetric (SUSY) Higgs or other more exotic final states. In this paper we describe the ATLAS tau trigger system, focusing on the early data taking period, and present results from studies based on GEANT 4 simulated events, including trigger rates and the acceptance of tau leptons from SM processes. In order to cope with the rate and optimize the efficiency of important physics channels, the results of the current simulation studies indicate that ATLAS tau triggers should include either relatively high transverse momentum single tau signatures, or low transverse momentum tau signatures in combination with other signatures, such as missing transverse energy, leptons, or jets.

  7. The ATLAS metadata interface

    International Nuclear Information System (INIS)

    AMI was chosen as the ATLAS dataset selection interface in July 2006. It is the main interface for searching for ATLAS data using physics metadata criteria. AMI has been implemented as a generic database management framework which allows parallel searching over many catalogues, which may have differing schema. The main features of the web interface will be described; in particular the powerful graphic query builder. The use of XML/XLST technology ensures that all commands can be used either on the web or from a command line interface via a web service. We also describe the overall architecture of ATLAS metadata and the different actors and granularity involved, and the place of AMI within this architecture. We discuss the problems involved in the correlation of metadata of differing granularity, and propose a solution for information mediation

  8. ATLAS rewards industry

    CERN Multimedia

    2006-01-01

    Showing excellence in mechanics, electronics and cryogenics, three industries are honoured for their contributions to the ATLAS experiment. Representatives of the three award-wining companies after the ceremony. For contributing vital pieces to the ATLAS puzzle, three industries were recognized on Friday 5 May during a supplier awards ceremony. After a welcome and overview of the ATLAS experiment by spokesperson Peter Jenni, CERN Secretary-General Maximilian Metzger stressed the importance of industry to CERN's scientific goals. Close interaction with CERN was a key factor in the selection of each rewarded company, in addition to the high-quality products they delivered to the experiment. Alu Menziken Industrie AG, of Switzerland, was honoured for the production of 380,000 aluminium tubes for the Monitored Drift Tube Chambers (MDT). As Giora Mikenberg, the Muon System Project Leader stressed, the aluminium tubes were delivered on time with an extraordinary quality and precision. Between October 2000 and Jan...

  9. ATLAS TDAQ System Administration:

    CERN Document Server

    Lee, Christopher Jon; The ATLAS collaboration; Bogdanchikov, Alexander; Ballestrero, Sergio; Contescu, Alexandru Cristian; Dubrov, Sergei; Fazio, Daniel; Korol, Aleksandr; Scannicchio, Diana; Twomey, Matthew Shaun; Voronkov, Artem

    2015-01-01

    The ATLAS Trigger and Data Acquisition (TDAQ) system is responsible for the online processing of live data, streaming from the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The online farm is composed of ̃3000 servers, processing the data readout from ̃100 million detector channels through multiple trigger levels. During the two years of the first Long Shutdown (LS1) there has been a tremendous amount of work done by the ATLAS TDAQ System Administrators, implementing numerous new software applications, upgrading the OS and the hardware, changing some design philosophies and exploiting the High Level Trigger farm with different purposes. During the data taking only critical security updates are applied and broken hardware is replaced to ensure a stable operational environment. The LS1 provided an excellent opportunity to look into new technologies and applications that would help to improve and streamline the daily tasks of not only the System Administrators, but also of the scientists who wil...

  10. The ATLAS tau trigger

    International Nuclear Information System (INIS)

    The implementation of a trigger for hadronically decaying tau leptons at the Large Hadronic Collider (LHC) is challenging due to the high background rate, on the other hand it increases tremendously the discovery potential of ATLAS in searches for Standard Model (SM) or Supersymmetric (SUSY) Higgs or other more exotic final states. In this paper we describe the ATLAS tau trigger system, focusing on the early data taking period, and present results from studies based on GEANT 4 simulated events, including trigger rates and the acceptance of tau leptons from SM processes. In order to cope with the rate and optimize the efficiency of important physics channels, the results of the current simulation studies indicate that ATLAS tau triggers should include either relatively high transverse momentum single tau signatures, or low transverse momentum tau signatures in combination with other signatures, such as missing transverse energy, leptons, or jets.

  11. Calorimetry triggering in ATLAS

    International Nuclear Information System (INIS)

    The ATLAS experiment is preparing for data taking at 14 TeV collision energy. A rich discovery physics program is being prepared in addition to the detailed study of Standard Model processes which will be produced in abundance. The ATLAS multi-level trigger system is designed to accept one event in 2 | 105 to enable the selection of rare and unusual physics events. The ATLAS calorimeter system is a precise instrument, which includes liquid Argon electro-magnetic and hadronic components as well as a scintillator-tile hadronic calorimeter. All these components are used in the various levels of the trigger system. A wide physics coverage is ensured by inclusively selecting events with candidate electrons, photons, taus, jets or those with large missing transverse energy. The commissioning of the trigger system is being performed with cosmic ray events and by replaying simulated Monte Carlo events through the trigger and data acquisition system.

  12. ATLAS production system

    CERN Document Server

    Borodin, Mikhail; The ATLAS collaboration; De, Kaushik; Klimentov, Alexei; Golubkov, Dmitry; Maeno, Tadashi; Mashinistov, Ruslan; Wenaus, Torre; Padolski, Siarhei

    2016-01-01

    The second generation of the ATLAS production system called ProdSys2 is a distributed workload manager which used by thousands of physicists to analyze the data remotely, with the volume of processed data is beyond the exabyte scale, across a more than hundred heterogeneous sites. It achieves high utilization by combining dynamic job definition based on many criterias, such as input and output size, memory requirements and CPU consumption with manageable scheduling policies and by supporting different kind of computational resources, such as GRID, clouds, supercomputers and volunteering computers. Besides jobs definition Production System also includes flexible web user interface, which implements user-friendly environment for main ATLAS workflows, e.g. simple way of combining different data flows, and real-time monitoring, optimised for using with huge amount of information to present. We present an overview of the ATLAS Production System major components: job and task definition, workflow manager web user i...

  13. Atlas Tier 3

    CERN Document Server

    Benjamin, D; The ATLAS collaboration

    2010-01-01

    ATLAS has built a powerful system for computing activities on top of three major grid infrastructures. As expected, with data finally arriving physicists need dedicated resources for analysis activities. In contrast to the existing grid infrastructure, there is a strong need to provide users with data control and high-performance (quasi) interactive data access. The ATLAS Tier3 solution is targeted to provide efficient and manageable analysis computing at each member institution. For most of sites only a small fraction of a physicist or student can be diverted for computing support. Transformative technologies have been chosen and integrated with the existing ATLAS tools. The result is a site which is substantially simpler to maintain and which is essentially operated by client tools and extensive use of caching technologies. Most promising new technologies we are using are: xroot and Lustre (distributed storage); CVMFS (experiment software distribution and condition files). We believe that this experience ha...

  14. Two ATLAS suppliers honoured

    CERN Document Server

    2007-01-01

    The ATLAS experiment has recognised the outstanding contribution of two firms to the pixel detector. Recipients of the supplier award with Peter Jenni, ATLAS spokesperson, and Maximilian Metzger, CERN Secretary-General.At a ceremony held at CERN on 28 November, the ATLAS collaboration presented awards to two of its suppliers that had produced sensor wafers for the pixel detector. The CiS Institut für Mikrosensorik of Erfurt in Germany has supplied 655 sensor wafers containing a total of 1652 sensor tiles and the firm ON Semiconductor has supplied 515 sensor wafers (1177 sensor tiles) from its foundry at Roznov in the Czech Republic. Both firms have successfully met the very demanding requirements. ATLAS’s huge pixel detector is very complicated, requiring expertise in highly specialised integrated microelectronics and precision mechanics. Pixel detector project leader Kevin Einsweiler admits that when the project was first propo...

  15. Multiple brain atlas database and atlas-based neuroimaging system.

    Science.gov (United States)

    Nowinski, W L; Fang, A; Nguyen, B T; Raphel, J K; Jagannathan, L; Raghavan, R; Bryan, R N; Miller, G A

    1997-01-01

    For the purpose of developing multiple, complementary, fully labeled electronic brain atlases and an atlas-based neuroimaging system for analysis, quantification, and real-time manipulation of cerebral structures in two and three dimensions, we have digitized, enhanced, segmented, and labeled the following print brain atlases: Co-Planar Stereotaxic Atlas of the Human Brain by Talairach and Tournoux, Atlas for Stereotaxy of the Human Brain by Schaltenbrand and Wahren, Referentially Oriented Cerebral MRI Anatomy by Talairach and Tournoux, and Atlas of the Cerebral Sulci by Ono, Kubik, and Abernathey. Three-dimensional extensions of these atlases have been developed as well. All two- and three-dimensional atlases are mutually preregistered and may be interactively registered with an actual patient's data. An atlas-based neuroimaging system has been developed that provides support for reformatting, registration, visualization, navigation, image processing, and quantification of clinical data. The anatomical index contains about 1,000 structures and over 400 sulcal patterns. Several new applications of the brain atlas database also have been developed, supported by various technologies such as virtual reality, the Internet, and electronic publishing. Fusion of information from multiple atlases assists the user in comprehensively understanding brain structures and identifying and quantifying anatomical regions in clinical data. The multiple brain atlas database and atlas-based neuroimaging system have substantial potential impact in stereotactic neurosurgery and radiotherapy by assisting in visualization and real-time manipulation in three dimensions of anatomical structures, in quantitative neuroradiology by allowing interactive analysis of clinical data, in three-dimensional neuroeducation, and in brain function studies. PMID:9148878

  16. ATLAS Trigger: design and commissioning

    CERN Document Server

    Pastore, F; The ATLAS collaboration

    2009-01-01

    The ATLAS detector at CERN's Large Hadron Collider (LHC) will be exposed to proton-proton collisions from beams crossing at 40 MHz. A three-level trigger system was designed to select potentially interesting events and reduce the incoming rate to 100-200 Hz. The first trigger level (LVL1) is implemented in custom-built electronics, the second and third trigger levels are realised in software. Based on calorimeter information and hits in dedicated muon-trigger detectors, the LVL1 decision is made by the central-trigger processor yielding an output rate of less than 100 kHz. The allowed latency for the trigger decision at this stage is less than 2.5 micro seconds. The two subsequent levels, called, High-Level Trigger (HLT) further reduce the rate to the offline storage rate while retaining the most interesting physics. The HLT is implemented in software running in commercially available computer farms and consists of Level 2 and Event Filter. To reduce the network data traffic and the processing time to managea...

  17. The ATLAS Simulation Infrastructure

    CERN Document Server

    Aad, Georges; Abdallah, Jalal; Abdelalim, Ahmed Ali; Abdesselam, Abdelouahab; Abdinov, Ovsat; Abi, Babak; Abolins, Maris; Abramowicz, Halina; Abreu, Henso; Acharya, Bobby Samir; Adams, David; Addy, Tetteh; Adelman, Jahred; Adorisio, Cristina; Adragna, Paolo; Adye, Tim; Aefsky, Scott; Aguilar-Saavedra, Juan Antonio; Aharrouche, Mohamed; Ahlen, Steven; Ahles, Florian; Ahmad, Ashfaq; Ahmed, Hossain; Ahsan, Mahsana; Aielli, Giulio; Akdogan, Taylan; Åkesson, Torsten Paul Ake; Akimoto, Ginga; Akimov , Andrei; Aktas, Adil; Alam, Mohammad; Alam, Muhammad Aftab; Albrand, Solveig; Aleksa, Martin; Aleksandrov, Igor; Alexa, Calin; Alexander, Gideon; Alexandre, Gauthier; Alexopoulos, Theodoros; Alhroob, Muhammad; Aliev, Malik; Alimonti, Gianluca; Alison, John; Aliyev, Magsud; Allport, Phillip; Allwood-Spiers, Sarah; Almond, John; Aloisio, Alberto; Alon, Raz; Alonso, Alejandro; Alviggi, Mariagrazia; Amako, Katsuya; Amelung, Christoph; Amorim, Antonio; Amorós, Gabriel; Amram, Nir; Anastopoulos, Christos; Andeen, Timothy; Anders, Christoph Falk; Anderson, Kelby; Andreazza, Attilio; Andrei, George Victor; Anduaga, Xabier; Angerami, Aaron; Anghinolfi, Francis; Anjos, Nuno; Annovi, Alberto; Antonaki, Ariadni; Antonelli, Mario; Antonelli, Stefano; Antos, Jaroslav; Antunovic, Bijana; Anulli, Fabio; Aoun, Sahar; Arabidze, Giorgi; Aracena, Ignacio; Arai, Yasuo; Arce, Ayana; Archambault, John-Paul; Arfaoui, Samir; Arguin, Jean-Francois; Argyropoulos, Theodoros; Arik, Metin; Armbruster, Aaron James; Arnaez, Olivier; Arnault, Christian; Artamonov, Andrei; Arutinov, David; Asai, Makoto; Asai, Shoji; Silva, José; Asfandiyarov, Ruslan; Ask, Stefan; Åsman, Barbro; Asner, David; Asquith, Lily; Assamagan, Ketevi; Astbury, Alan; Astvatsatourov, Anatoli; Atoian, Grigor; Auerbach, Benjamin; Augsten, Kamil; Aurousseau, Mathieu; Austin, Nicholas; Avolio, Giuseppe; Avramidou, Rachel Maria; Axen, David; Ay, Cano; Azuelos, Georges; Azuma, Yuya; Baak, Max; Bach, Andre; Bachacou, Henri; Bachas, Konstantinos; Backes, Moritz; Badescu, Elisabeta; Bagnaia, Paolo; Bai, Yu; Bain, Travis; Baines, John; Baker, Mark; Baker, Oliver Keith; Baker, Sarah; Baltasar Dos Santos Pedrosa, Fernando; Banas, Elzbieta; Banerjee, Piyali; Banerjee, Swagato; Banfi, Danilo; Bangert, Andrea Michelle; Bansal, Vikas; Baranov, Sergey; Baranov, Sergei; Barashkou, Andrei; Barber, Tom; Barberio, Elisabetta Luigia; Barberis, Dario; Barbero, Marlon; Bardin, Dmitri; Barillari, Teresa; Barisonzi, Marcello; Barklow, Timothy; Barlow, Nick; Barnett, Bruce; Barnett, Michael; Baroncelli, Antonio; Barr, Alan; Barreiro, Fernando; Barreiro Guimarães da Costa, João; Barrillon, Pierre; Bartoldus, Rainer; Bartsch, Detlef; Bates, Richard; Batkova, Lucia; Batley, Richard; Battaglia, Andreas; Battistin, Michele; Bauer, Florian; Bawa, Harinder Singh; Bazalova, Magdalena; Beare, Brian; Beau, Tristan; Beauchemin, Pierre-Hugues; Beccherle, Roberto; Becerici, Neslihan; Bechtle, Philip; Beck, Graham; Beck, Hans Peter; Beckingham, Matthew; Becks, Karl-Heinz; Beddall, Ayda; Beddall, Andrew; Bednyakov, Vadim; Bee, Christopher; Begel, Michael; Behar Harpaz, Silvia; Behera, Prafulla; Beimforde, Michael; Belanger-Champagne, Camille; Bell, Paul; Bell, William; Bella, Gideon; Bellagamba, Lorenzo; Bellina, Francesco; Bellomo, Massimiliano; Belloni, Alberto; Belotskiy, Konstantin; Beltramello, Olga; Ben Ami, Sagi; Benary, Odette; Benchekroun, Driss; Bendel, Markus; Benedict, Brian Hugues; Benekos, Nektarios; Benhammou, Yan; Benincasa, Gianpaolo; Benjamin, Douglas; Benoit, Mathieu; Bensinger, James; Benslama, Kamal; Bentvelsen, Stan; Beretta, Matteo; Berge, David; Bergeaas Kuutmann, Elin; Berger, Nicolas; Berghaus, Frank; Berglund, Elina; Beringer, Jürg; Bernat, Pauline; Bernhard, Ralf; Bernius, Catrin; Berry, Tracey; Bertin, Antonio; Besana, Maria Ilaria; Besson, Nathalie; Bethke, Siegfried; Bianchi, Riccardo-Maria; Bianco, Michele; Biebel, Otmar; Biesiada, Jed; Biglietti, Michela; Bilokon, Halina; Bindi, Marcello; Binet, Sebastien; Bingul, Ahmet; Bini, Cesare; Biscarat, Catherine; Bitenc, Urban; Black, Kevin; Blair, Robert; Blanchard, Jean-Baptiste; Blanchot, Georges; Blocker, Craig; Blondel, Alain; Blum, Walter; Blumenschein, Ulrike; Bobbink, Gerjan; Bocci, Andrea; Boehler, Michael; Boek, Jennifer; Boelaert, Nele; Böser, Sebastian; Bogaerts, Joannes Andreas; Bogouch, Andrei; Bohm, Christian; Bohm, Jan; Boisvert, Veronique; Bold, Tomasz; Boldea, Venera; Bondarenko, Valery; Bondioli, Mario; Boonekamp, Maarten; Bordoni, Stefania; Borer, Claudia; Borisov, Anatoly; Borissov, Guennadi; Borjanovic, Iris; Borroni, Sara; Bos, Kors; Boscherini, Davide; Bosman, Martine; Boterenbrood, Hendrik; Bouchami, Jihene; Boudreau, Joseph; Bouhova-Thacker, Evelina Vassileva; Boulahouache, Chaouki; Bourdarios, Claire; Boveia, Antonio; Boyd, James; Boyko, Igor; Bozovic-Jelisavcic, Ivanka; Bracinik, Juraj; Braem, André; Branchini, Paolo; Brandenburg, George; Brandt, Andrew; Brandt, Gerhard; Brandt, Oleg; Bratzler, Uwe; Brau, Benjamin; Brau, James; Braun, Helmut; Brelier, Bertrand; Bremer, Johan; Brenner, Richard; Bressler, Shikma; Britton, Dave; Brochu, Frederic; Brock, Ian; Brock, Raymond; Brodet, Eyal; Bromberg, Carl; Brooijmans, Gustaaf; Brooks, William; Brown, Gareth; Bruckman de Renstrom, Pawel; Bruncko, Dusan; Bruneliere, Renaud; Brunet, Sylvie; Bruni, Alessia; Bruni, Graziano; Bruschi, Marco; Bucci, Francesca; Buchanan, James; Buchholz, Peter; Buckley, Andrew; Budagov, Ioulian; Budick, Burton; Büscher, Volker; Bugge, Lars; Bulekov, Oleg; Bunse, Moritz; Buran, Torleiv; Burckhart, Helfried; Burdin, Sergey; Burgess, Thomas; Burke, Stephen; Busato, Emmanuel; Bussey, Peter; Buszello, Claus-Peter; Butin, Françcois; Butler, Bart; Butler, John; Buttar, Craig; Butterworth, Jonathan; Byatt, Tom; Caballero, Jose; Cabrera Urbán, Susana; Caforio, Davide; Cakir, Orhan; Calafiura, Paolo; Calderini, Giovanni; Calfayan, Philippe; Calkins, Robert; Caloba, Luiz; Calvet, David; Camarri, Paolo; Cameron, David; Campana, Simone; Campanelli, Mario; Canale, Vincenzo; Canelli, Florencia; Canepa, Anadi; Cantero, Josu; Capasso, Luciano; Capeans Garrido, Maria Del Mar; Caprini, Irinel; Caprini, Mihai; Capua, Marcella; Caputo, Regina; Caramarcu, Costin; Cardarelli, Roberto; Carli, Tancredi; Carlino, Gianpaolo; Carminati, Leonardo; Caron, Bryan; Caron, Sascha; Carrillo Montoya, German D.; Carron Montero, Sebastian; Carter, Antony; Carter, Janet; Carvalho, João; Casadei, Diego; Casado, Maria Pilar; Cascella, Michele; Castaneda Hernandez, Alfredo Martin; Castaneda-Miranda, Elizabeth; Castillo Gimenez, Victoria; Castro, Nuno Filipe; Cataldi, Gabriella; Catinaccio, Andrea; Catmore, James; Cattai, Ariella; Cattani, Giordano; Caughron, Seth; Cauz, Diego; Cavalleri, Pietro; Cavalli, Donatella; Cavalli-Sforza, Matteo; Cavasinni, Vincenzo; Ceradini, Filippo; Cerqueira, Augusto Santiago; Cerri, Alessandro; Cerrito, Lucio; Cerutti, Fabio; Cetin, Serkant Ali; Chafaq, Aziz; Chakraborty, Dhiman; Chan, Kevin; Chapman, John Derek; Chapman, John Wehrley; Chareyre, Eve; Charlton, Dave; Chavda, Vikash; Cheatham, Susan; Chekanov, Sergei; Chekulaev, Sergey; Chelkov, Gueorgui; Chen, Hucheng; Chen, Shenjian; Chen, Xin; Cheplakov, Alexander; Chepurnov, Vladimir; Cherkaoui El Moursli, Rajaa; Tcherniatine, Valeri; Chesneanu, Daniela; Cheu, Elliott; Cheung, Sing-Leung; Chevalier, Laurent; Chevallier, Florent; Chiarella, Vitaliano; Chiefari, Giovanni; Chikovani, Leila; Childers, John Taylor; Chilingarov, Alexandre; Chiodini, Gabriele; Chizhov, Mihail; Choudalakis, Georgios; Chouridou, Sofia; Christidi, Illectra-Athanasia; Christov, Asen; Chromek-Burckhart, Doris; Chu, Ming-Lee; Chudoba, Jiri; Ciapetti, Guido; Ciftci, Abbas Kenan; Ciftci, Rena; Cinca, Diane; Cindro, Vladimir; Ciobotaru, Matei Dan; Ciocca, Claudia; Ciocio, Alessandra; Cirilli, Manuela; Citterio, Mauro; Clark, Allan G.; Clark, Philip James; Cleland, Bill; Clemens, Jean-Claude; Clement, Benoit; Clement, Christophe; Coadou, Yann; Cobal, Marina; Coccaro, Andrea; Cochran, James H.; Coggeshall, James; Cogneras, Eric; Colijn, Auke-Pieter; Collard, Caroline; Collins, Neil; Collins-Tooth, Christopher; Collot, Johann; Colon, German; Conde Muiño, Patricia; Coniavitis, Elias; Consonni, Michele; Constantinescu, Serban; Conta, Claudio; Conventi, Francesco; Cooke, Mark; Cooper, Ben; Cooper-Sarkar, Amanda; Cooper-Smith, Neil; Copic, Katherine; Cornelissen, Thijs; Corradi, Massimo; Corriveau, Francois; Corso-Radu, Alina; Cortes-Gonzalez, Arely; Cortiana, Giorgio; Costa, Giuseppe; Costa, María José; Costanzo, Davide; Costin, Tudor; Côté, David; Coura Torres, Rodrigo; Courneyea, Lorraine; Cowan, Glen; Cowden, Christopher; Cox, Brian; Cranmer, Kyle; Cranshaw, Jack; Cristinziani, Markus; Crosetti, Giovanni; Crupi, Roberto; Crépé-Renaudin, Sabine; Cuenca Almenar, Cristóbal; Cuhadar Donszelmann, Tulay; Curatolo, Maria; Curtis, Chris; Cwetanski, Peter; Czyczula, Zofia; D'Auria, Saverio; D'Onofrio, Monica; D'Orazio, Alessia; Da Via, Cinzia; Dabrowski, Wladyslaw; Dai, Tiesheng; Dallapiccola, Carlo; Dallison, Steve; Daly, Colin; Dam, Mogens; Danielsson, Hans Olof; Dannheim, Dominik; Dao, Valerio; Darbo, Giovanni; Darlea, Georgiana Lavinia; Davey, Will; Davidek, Tomas; Davidson, Nadia; Davidson, Ruth; Davies, Merlin; Davison, Adam; Dawson, Ian; Daya, Rozmin; De, Kaushik; de Asmundis, Riccardo; De Castro, Stefano; De Castro Faria Salgado, Pedro; De Cecco, Sandro; de Graat, Julien; De Groot, Nicolo; de Jong, Paul; De Mora, Lee; De Oliveira Branco, Miguel; De Pedis, Daniele; De Salvo, Alessandro; De Sanctis, Umberto; De Santo, Antonella; De Vivie De Regie, Jean-Baptiste; De Zorzi, Guido; Dean, Simon; Dedovich, Dmitri; Degenhardt, James; Dehchar, Mohamed; Del Papa, Carlo; Del Peso, Jose; Del Prete, Tarcisio; Dell'Acqua, Andrea; Dell'Asta, Lidia; Della Pietra, Massimo; della Volpe, Domenico; Delmastro, Marco; Delsart, Pierre-Antoine; Deluca, Carolina; Demers, Sarah; Demichev, Mikhail; Demirkoz, Bilge; Deng, Jianrong; Deng, Wensheng; Denisov, Sergey; Derkaoui, Jamal Eddine; Derue, Frederic; Dervan, Paul; Desch, Klaus Kurt; Deviveiros, Pier-Olivier; Dewhurst, Alastair; DeWilde, Burton; Dhaliwal, Saminder; Dhullipudi, Ramasudhakar; Di Ciaccio, Anna; Di Ciaccio, Lucia; Di Domenico, Antonio; Di Girolamo, Alessandro; Di Girolamo, Beniamino; Di Luise, Silvestro; Di Mattia, Alessandro; Di Nardo, Roberto; Di Simone, Andrea; Di Sipio, Riccardo; Diaz, Marco Aurelio; Diblen, Faruk; Diehl, Edward; Dietrich, Janet; Dietzsch, Thorsten; Diglio, Sara; Dindar Yagci, Kamile; Dingfelder, Jochen; Dionisi, Carlo; Dita, Petre; Dita, Sanda; Dittus, Fridolin; Djama, Fares; Djilkibaev, Rashid; Djobava, Tamar; do Vale, Maria Aline Barros; Do Valle Wemans, André; Doan, Thi Kieu Oanh; Dobos, Daniel; Dobson, Ellie; Dobson, Marc; Doglioni, Caterina; Doherty, Tom; Dolejsi, Jiri; Dolenc, Irena; Dolezal, Zdenek; Dolgoshein, Boris; Dohmae, Takeshi; Donega, Mauro; Donini, Julien; Dopke, Jens; Doria, Alessandra; Dos Anjos, Andre; Dotti, Andrea; Dova, Maria-Teresa; Doxiadis, Alexander; Doyle, Tony; Drasal, Zbynek; Dris, Manolis; Dubbert, Jörg; Duchovni, Ehud; Duckeck, Guenter; Dudarev, Alexey; Dudziak, Fanny; Dührssen , Michael; Duflot, Laurent; Dufour, Marc-Andre; Dunford, Monica; Duran Yildiz, Hatice; Dushkin, Andrei; Duxfield, Robert; Dwuznik, Michal; Düren, Michael; Ebenstein, William; Ebke, Johannes; Eckweiler, Sebastian; Edmonds, Keith; Edwards, Clive; Egorov, Kirill; Ehrenfeld, Wolfgang; Ehrich, Thies; Eifert, Till; Eigen, Gerald; Einsweiler, Kevin; Eisenhandler, Eric; Ekelof, Tord; El Kacimi, Mohamed; Ellert, Mattias; Elles, Sabine; Ellinghaus, Frank; Ellis, Katherine; Ellis, Nicolas; Elmsheuser, Johannes; Elsing, Markus; Emeliyanov, Dmitry; Engelmann, Roderich; Engl, Albert; Epp, Brigitte; Eppig, Andrew; Erdmann, Johannes; Ereditato, Antonio; Eriksson, Daniel; Ermoline, Iouri; Ernst, Jesse; Ernst, Michael; Ernwein, Jean; Errede, Deborah; Errede, Steven; Ertel, Eugen; Escalier, Marc; Escobar, Carlos; Espinal Curull, Xavier; Esposito, Bellisario; Etienvre, Anne-Isabelle; Etzion, Erez; Evans, Hal; Fabbri, Laura; Fabre, Caroline; Facius, Katrine; Fakhrutdinov, Rinat; Falciano, Speranza; Fang, Yaquan; Fanti, Marcello; Farbin, Amir; Farilla, Addolorata; Farley, Jason; Farooque, Trisha; Farrington, Sinead; Farthouat, Philippe; Fassnacht, Patrick; Fassouliotis, Dimitrios; Fatholahzadeh, Baharak; Fayard, Louis; Fayette, Florent; Febbraro, Renato; Federic, Pavol; Fedin, Oleg; Fedorko, Woiciech; Feligioni, Lorenzo; Felzmann, Ulrich; Feng, Cunfeng; Feng, Eric; Fenyuk, Alexander; Ferencei, Jozef; Ferland, Jonathan; Fernandes, Bruno; Fernando, Waruna; Ferrag, Samir; Ferrando, James; Ferrara, Valentina; Ferrari, Arnaud; Ferrari, Pamela; Ferrari, Roberto; Ferrer, Antonio; Ferrer, Maria Lorenza; Ferrere, Didier; Ferretti, Claudio; Fiascaris, Maria; Fiedler, Frank; Filipčič, Andrej; Filippas, Anastasios; Filthaut, Frank; Fincke-Keeler, Margret; Fiolhais, Miguel; Fiorini, Luca; Firan, Ana; Fischer, Gordon; Fisher, Matthew; Flechl, Martin; Fleck, Ivor; Fleckner, Johanna; Fleischmann, Philipp; Fleischmann, Sebastian; Flick, Tobias; Flores Castillo, Luis; Flowerdew, Michael; Fonseca Martin, Teresa; Formica, Andrea; Forti, Alessandra; Fortin, Dominique; Fournier, Daniel; Fowler, Andrew; Fowler, Ken; Fox, Harald; Francavilla, Paolo; Franchino, Silvia; Francis, David; Franklin, Melissa; Franz, Sebastien; Fraternali, Marco; Fratina, Sasa; Freestone, Julian; French, Sky; Froeschl, Robert; Froidevaux, Daniel; Frost, James; Fukunaga, Chikara; Fullana Torregrosa, Esteban; Fuster, Juan; Gabaldon, Carolina; Gabizon, Ofir; Gadfort, Thomas; Gadomski, Szymon; Gagliardi, Guido; Gagnon, Pauline; Galea, Cristina; Gallas, Elizabeth; Gallas, Manuel; Gallo, Valentina Santina; Gallop, Bruce; Gallus, Petr; Galyaev, Eugene; Gan, K K; Gao, Yongsheng; Gaponenko, Andrei; Garcia-Sciveres, Maurice; García, Carmen; García Navarro, José Enrique; Gardner, Robert; Garelli, Nicoletta; Garitaonandia, Hegoi; Garonne, Vincent; Gatti, Claudio; Gaudio, Gabriella; Gautard, Valerie; Gauzzi, Paolo; Gavrilenko, Igor; Gay, Colin; Gaycken, Goetz; Gazis, Evangelos; Ge, Peng; Gee, Norman; Geich-Gimbel, Christoph; Gellerstedt, Karl; Gemme, Claudia; Genest, Marie-Hélène; Gentile, Simonetta; Georgatos, Fotios; George, Simon; Gershon, Avi; Ghazlane, Hamid; Ghodbane, Nabil; Giacobbe, Benedetto; Giagu, Stefano; Giakoumopoulou, Victoria; Giangiobbe, Vincent; Gianotti, Fabiola; Gibbard, Bruce; Gibson, Adam; Gibson, Stephen; Gilbert, Laura; Gilchriese, Murdock; Gilewsky, Valentin; Gingrich, Douglas; Ginzburg, Jonatan; Giokaris, Nikos; Giordani, MarioPaolo; Giordano, Raffaele; Giorgi, Francesco Michelangelo; Giovannini, Paola; Giraud, Pierre-Francois; Girtler, Peter; Giugni, Danilo; Giusti, Paolo; Gjelsten, Børge Kile; Gladilin, Leonid; Glasman, Claudia; Glazov, Alexandre; Glitza, Karl-Walter; Glonti, George; Godfrey, Jennifer; Godlewski, Jan; Goebel, Martin; Göpfert, Thomas; Goeringer, Christian; Gössling, Claus; Göttfert, Tobias; Goggi, Virginio; Goldfarb, Steven; Goldin, Daniel; Golling, Tobias; Gomes, Agostinho; Gomez Fajardo, Luz Stella; Gonçcalo, Ricardo; Gonella, Laura; Gong, Chenwei; González de la Hoz, Santiago; Gonzalez Silva, Laura; Gonzalez-Sevilla, Sergio; Goodson, Jeremiah Jet; Goossens, Luc; Gordon, Howard; Gorelov, Igor; Gorfine, Grant; Gorini, Benedetto; Gorini, Edoardo; Gorišek, Andrej; Gornicki, Edward; Gosdzik, Bjoern; Gosselink, Martijn; Gostkin, Mikhail Ivanovitch; Gough Eschrich, Ivo; Gouighri, Mohamed; Goujdami, Driss; Goulette, Marc Phillippe; Goussiou, Anna; Goy, Corinne; Grabowska-Bold, Iwona; Grafström, Per; Grahn, Karl-Johan; Grancagnolo, Sergio; Grassi, Valerio; Gratchev, Vadim; Grau, Nathan; Gray, Heather; Gray, Julia Ann; Graziani, Enrico; Green, Barry; Greenshaw, Timothy; Greenwood, Zeno Dixon; Gregor, Ingrid-Maria; Grenier, Philippe; Griesmayer, Erich; Griffiths, Justin; Grigalashvili, Nugzar; Grillo, Alexander; Grimm, Kathryn; Grinstein, Sebastian; Grishkevich, Yaroslav; Groh, Manfred; Groll, Marius; Gross, Eilam; Grosse-Knetter, Joern; Groth-Jensen, Jacob; Grybel, Kai; Guicheney, Christophe; Guida, Angelo; Guillemin, Thibault; Guler, Hulya; Gunther, Jaroslav; Guo, Bin; Gupta, Ambreesh; Gusakov, Yury; Gutierrez, Andrea; Gutierrez, Phillip; Guttman, Nir; Gutzwiller, Olivier; Guyot, Claude; Gwenlan, Claire; Gwilliam, Carl; Haas, Andy; Haas, Stefan; Haber, Carl; Hadavand, Haleh Khani; Hadley, David; Haefner, Petra; Härtel, Roland; Hajduk, Zbigniew; Hakobyan, Hrachya; Haller, Johannes; Hamacher, Klaus; Hamilton, Andrew; Hamilton, Samuel; Han, Liang; Hanagaki, Kazunori; Hance, Michael; Handel, Carsten; Hanke, Paul; Hansen, Jørgen Beck; Hansen, Jorn Dines; Hansen, John Renner; Hansen, Peter Henrik; Hansl-Kozanecka, Traudl; Hansson, Per; Hara, Kazuhiko; Hare, Gabriel; Harenberg, Torsten; Harrington, Robert; Harris, Orin; Harrison, Karl; Hartert, Jochen; Hartjes, Fred; Harvey, Alex; Hasegawa, Satoshi; Hasegawa, Yoji; Hashemi, Kevan; Hassani, Samira; Haug, Sigve; Hauschild, Michael; Hauser, Reiner; Havranek, Miroslav; Hawkes, Christopher; Hawkings, Richard John; Hayakawa, Takashi; Hayward, Helen; Haywood, Stephen; Head, Simon; Hedberg, Vincent; Heelan, Louise; Heim, Sarah; Heinemann, Beate; Heisterkamp, Simon; Helary, Louis; Heller, Mathieu; Hellman, Sten; Helsens, Clement; Hemperek, Tomasz; Henderson, Robert; Henke, Michael; Henrichs, Anna; Henriques Correia, Ana Maria; Henrot-Versille, Sophie; Hensel, Carsten; Henß, Tobias; Hernández Jiménez, Yesenia; Hershenhorn, Alon David; Herten, Gregor; Hertenberger, Ralf; Hervas, Luis; Hessey, Nigel; Higón-Rodriguez, Emilio; Hill, John; Hiller, Karl Heinz; Hillert, Sonja; Hillier, Stephen; Hinchliffe, Ian; Hines, Elizabeth; Hirose, Minoru; Hirsch, Florian; Hirschbuehl, Dominic; Hobbs, John; Hod, Noam; Hodgkinson, Mark; Hodgson, Paul; Hoecker, Andreas; Hoeferkamp, Martin; Hoffman, Julia; Hoffmann, Dirk; Hohlfeld, Marc; Holy, Tomas; Holzbauer, Jenny; Homma, Yasuhiro; Horazdovsky, Tomas; Hori, Takuya; Horn, Claus; Horner, Stephan; Hostachy, Jean-Yves; Hou, Suen; Hoummada, Abdeslam; Howe, Travis; Hrivnac, Julius; Hryn'ova, Tetiana; Hsu, Pai-hsien Jennifer; Hsu, Shih-Chieh; Huang, Guang Shun; Hubacek, Zdenek; Hubaut, Fabrice; Huegging, Fabian; Hughes, Emlyn; Hughes, Gareth; Hurwitz, Martina; Husemann, Ulrich; Huseynov, Nazim; Huston, Joey; Huth, John; Iacobucci, Giuseppe; Iakovidis, Georgios; Ibragimov, Iskander; Iconomidou-Fayard, Lydia; Idarraga, John; Iengo, Paolo; Igonkina, Olga; Ikegami, Yoichi; Ikeno, Masahiro; Ilchenko, Yuri; Iliadis, Dimitrios; Ince, Tayfun; Ioannou, Pavlos; Iodice, Mauro; Irles Quiles, Adrian; Ishikawa, Akimasa; Ishino, Masaya; Ishmukhametov, Renat; Isobe, Tadaaki; Issakov, Vladimir; Issever, Cigdem; Istin, Serhat; Itoh, Yuki; Ivashin, Anton; Iwanski, Wieslaw; Iwasaki, Hiroyuki; Izen, Joseph; Izzo, Vincenzo; Jackson, Brett; Jackson, John; Jackson, Paul; Jaekel, Martin; Jain, Vivek; Jakobs, Karl; Jakobsen, Sune; Jakubek, Jan; Jana, Dilip; Jansen, Eric; Jantsch, Andreas; Janus, Michel; Jared, Richard; Jarlskog, Göran; Jeanty, Laura; Jen-La Plante, Imai; Jenni, Peter; Jež, Pavel; Jézéquel, Stéphane; Ji, Weina; Jia, Jiangyong; Jiang, Yi; Jimenez Belenguer, Marcos; Jin, Shan; Jinnouchi, Osamu; Joffe, David; Johansen, Marianne; Johansson, Erik; Johansson, Per; Johnert, Sebastian; Johns, Kenneth; Jon-And, Kerstin; Jones, Graham; Jones, Roger; Jones, Tim; Jorge, Pedro; Joseph, John; Juranek, Vojtech; Jussel, Patrick; Kabachenko, Vasily; Kaci, Mohammed; Kaczmarska, Anna; Kado, Marumi; Kagan, Harris; Kagan, Michael; Kaiser, Steffen; Kajomovitz, Enrique; Kalinin, Sergey; Kalinovskaya, Lidia; Kalinowski, Artur; Kama, Sami; Kanaya, Naoko; Kaneda, Michiru; Kantserov, Vadim; Kanzaki, Junichi; Kaplan, Benjamin; Kapliy, Anton; Kaplon, Jan; Kar, Deepak; Karagounis, Michael; Karagoz, Muge; Kartvelishvili, Vakhtang; Karyukhin, Andrey; Kashif, Lashkar; Kasmi, Azzedine; Kass, Richard; Kastanas, Alex; Kastoryano, Michael; Kataoka, Mayuko; Kataoka, Yousuke; Katsoufis, Elias; Katzy, Judith; Kaushik, Venkatesh; Kawagoe, Kiyotomo; Kawamoto, Tatsuo; Kawamura, Gen; Kayl, Manuel; Kayumov, Fred; Kazanin, Vassili; Kazarinov, Makhail; Keates, James Robert; Keeler, Richard; Keener, Paul; Kehoe, Robert; Keil, Markus; Kekelidze, George; Kelly, Marc; Kenyon, Mike; Kepka, Oldrich; Kerschen, Nicolas; Kerševan, Borut Paul; Kersten, Susanne; Kessoku, Kohei; Khakzad, Mohsen; Khalil-zada, Farkhad; Khandanyan, Hovhannes; Khanov, Alexander; Kharchenko, Dmitri; Khodinov, Alexander; Khomich, Andrei; Khoriauli, Gia; Khovanskiy, Nikolai; Khovanskiy, Valery; Khramov, Evgeniy; Khubua, Jemal; Kim, Hyeon Jin; Kim, Min Suk; Kim, Peter; Kim, Shinhong; Kind, Oliver; Kind, Peter; King, Barry; Kirk, Julie; Kirsch, Guillaume; Kirsch, Lawrence; Kiryunin, Andrey; Kisielewska, Danuta; Kittelmann, Thomas; Kiyamura, Hironori; Kladiva, Eduard; Klein, Max; Klein, Uta; Kleinknecht, Konrad; Klemetti, Miika; Klier, Amit; Klimentov, Alexei; Klingenberg, Reiner; Klinkby, Esben; Klioutchnikova, Tatiana; Klok, Peter; Klous, Sander; Kluge, Eike-Erik; Kluge, Thomas; Kluit, Peter; Klute, Markus; Kluth, Stefan; Knecht, Neil; Kneringer, Emmerich; Ko, Byeong Rok; Kobayashi, Tomio; Kobel, Michael; Koblitz, Birger; Kocian, Martin; Kocnar, Antonin; Kodys, Peter; Köneke, Karsten; König, Adriaan; Koenig, Sebastian; Köpke, Lutz; Koetsveld, Folkert; Koevesarki, Peter; Koffas, Thomas; Koffeman, Els; Kohn, Fabian; Kohout, Zdenek; Kohriki, Takashi; Kolanoski, Hermann; Kolesnikov, Vladimir; Koletsou, Iro; Koll, James; Kollar, Daniel; Kolos, Serguei; Kolya, Scott; Komar, Aston; Komaragiri, Jyothsna Rani; Kondo, Takahiko; Kono, Takanori; Konoplich, Rostislav; Konovalov, Serguei; Konstantinidis, Nikolaos; Koperny, Stefan; Korcyl, Krzysztof; Kordas, Kostantinos; Korn, Andreas; Korolkov, Ilya; Korolkova, Elena; Korotkov, Vladislav; Kortner, Oliver; Kortner, Sandra; Kostka, Peter; Kostyukhin, Vadim; Kotov, Serguei; Kotov, Vladislav; Kotov, Konstantin; Kourkoumelis, Christine; Koutsman, Alex; Kowalewski, Robert Victor; Kowalski, Henri; Kowalski, Tadeusz; Kozanecki, Witold; Kozhin, Anatoly; Kral, Vlastimil; Kramarenko, Viktor; Kramberger, Gregor; Krasny, Mieczyslaw Witold; Krasznahorkay, Attila; Kreisel, Arik; Krejci, Frantisek; Kretzschmar, Jan; Krieger, Nina; Krieger, Peter; Kroeninger, Kevin; Kroha, Hubert; Kroll, Joe; Kroseberg, Juergen; Krstic, Jelena; Kruchonak, Uladzimir; Krüger, Hans; Krumshteyn, Zinovii; Kubota, Takashi; Kuehn, Susanne; Kugel, Andreas; Kuhl, Thorsten; Kuhn, Dietmar; Kukhtin, Victor; Kulchitsky, Yuri; Kuleshov, Sergey; Kummer, Christian; Kuna, Marine; Kunkle, Joshua; Kupco, Alexander; Kurashige, Hisaya; Kurata, Masakazu; Kurchaninov, Leonid; Kurochkin, Yurii; Kus, Vlastimil; Kwee, Regina; La Rotonda, Laura; Labbe, Julien; Lacasta, Carlos; Lacava, Francesco; Lacker, Heiko; Lacour, Didier; Lacuesta, Vicente Ramón; Ladygin, Evgueni; Lafaye, Rémi; Laforge, Bertrand; Lagouri, Theodota; Lai, Stanley; Lamanna, Massimo; Lampen, Caleb; Lampl, Walter; Lancon, Eric; Landgraf, Ulrich; Landon, Murrough; Lane, Jenna; Lankford, Andrew; Lanni, Francesco; Lantzsch, Kerstin; Lanza, Agostino; Laplace, Sandrine; Lapoire, Cecile; Laporte, Jean-Francois; Lari, Tommaso; Larner, Aimee; Lassnig, Mario; Laurelli, Paolo; Lavrijsen, Wim; Laycock, Paul; Lazarev, Alexandre; Lazzaro, Alfio; Le Dortz, Olivier; Le Guirriec, Emmanuel; Le Menedeu, Eve; Le Vine, Micheal; Lebedev, Alexander; Lebel, Céline; LeCompte, Thomas; Ledroit-Guillon, Fabienne Agnes Marie; Lee, Hurng-Chun; Lee, Jason; Lee, Shih-Chang; Lefebvre, Michel; Legendre, Marie; LeGeyt, Benjamin; Legger, Federica; Leggett, Charles; Lehmacher, Marc; Lehmann Miotto, Giovanna; Lei, Xiaowen; Leitner, Rupert; Lellouch, Daniel; Lellouch, Jeremie; Lendermann, Victor; Leney, Katharine; Lenz, Tatiana; Lenzen, Georg; Lenzi, Bruno; Leonhardt, Kathrin; Leroy, Claude; Lessard, Jean-Raphael; Lester, Christopher; Leung Fook Cheong, Annabelle; Levêque, Jessica; Levin, Daniel; Levinson, Lorne; Leyton, Michael; Li, Haifeng; Li, Shumin; Li, Xuefei; Liang, Zhihua; Liang, Zhijun; Liberti, Barbara; Lichard, Peter; Lichtnecker, Markus; Lie, Ki; Liebig, Wolfgang; Lilley, Joseph; Lim, Heuijin; Limosani, Antonio; Limper, Maaike; Lin, Simon; Linnemann, James; Lipeles, Elliot; Lipinsky, Lukas; Lipniacka, Anna; Liss, Tony; Lissauer, David; Lister, Alison; Litke, Alan; Liu, Chuanlei; Liu, Dong; Liu, Hao; Liu, Jianbei; Liu, Minghui; Liu, Tiankuan; Liu, Yanwen; Livan, Michele; Lleres, Annick; Lloyd, Stephen; Lobodzinska, Ewelina; Loch, Peter; Lockman, William; Lockwitz, Sarah; Loddenkoetter, Thomas; Loebinger, Fred; Loginov, Andrey; Loh, Chang Wei; Lohse, Thomas; Lohwasser, Kristin; Lokajicek, Milos; Long, Robin Eamonn; Lopes, Lourenco; Lopez Mateos, David; Losada, Marta; Loscutoff, Peter; Lou, Xinchou; Lounis, Abdenour; Loureiro, Karina; Lovas, Lubomir; Love, Jeremy; Love, Peter; Lowe, Andrew; Lu, Feng; Lubatti, Henry; Luci, Claudio; Lucotte, Arnaud; Ludwig, Andreas; Ludwig, Dörthe; Ludwig, Inga; Luehring, Frederick; Luisa, Luca; Lumb, Debra; Luminari, Lamberto; Lund, Esben; Lund-Jensen, Bengt; Lundberg, Björn; Lundberg, Johan; Lundquist, Johan; Lynn, David; Lys, Jeremy; Lytken, Else; Ma, Hong; Ma, Lian Liang; Macana Goia, Jorge Andres; Maccarrone, Giovanni; Macchiolo, Anna; Maček, Boštjan; Machado Miguens, Joana; Mackeprang, Rasmus; Madaras, Ronald; Mader, Wolfgang; Maenner, Reinhard; Maeno, Tadashi; Mättig, Peter; Mättig, Stefan; Magalhaes Martins, Paulo Jorge; Magradze, Erekle; Mahalalel, Yair; Mahboubi, Kambiz; Mahmood, A.; Maiani, Camilla; Maidantchik, Carmen; Maio, Amélia; Majewski, Stephanie; Makida, Yasuhiro; Makouski, Mikhail; Makovec, Nikola; Malecki, Piotr; Malecki, Pawel; Maleev, Victor; Malek, Fairouz; Mallik, Usha; Malon, David; Maltezos, Stavros; Malyshev, Vladimir; Malyukov, Sergei; Mambelli, Marco; Mameghani, Raphael; Mamuzic, Judita; Mandelli, Luciano; Mandić, Igor; Mandrysch, Rocco; Maneira, José; Mangeard, Pierre-Simon; Manjavidze, Ioseb; Manning, Peter; Manousakis-Katsikakis, Arkadios; Mansoulie, Bruno; Mapelli, Alessandro; Mapelli, Livio; March , Luis; Marchand, Jean-Francois; Marchese, Fabrizio; Marchiori, Giovanni; Marcisovsky, Michal; Marino, Christopher; Marroquim, Fernando; Marshall, Zach; Marti-Garcia, Salvador; Martin, Alex; Martin, Andrew; Martin, Brian; Martin, Brian; Martin, Franck Francois; Martin, Jean-Pierre; Martin, Tim; Martin dit Latour, Bertrand; Martinez, Mario; Martinez Outschoorn, Verena; Martini, Agnese; Martyniuk, Alex; Marzano, Francesco; Marzin, Antoine; Masetti, Lucia; Mashimo, Tetsuro; Mashinistov, Ruslan; Masik, Jiri; Maslennikov, Alexey; Massa, Ignazio; Massol, Nicolas; Mastroberardino, Anna; Masubuchi, Tatsuya; Matricon, Pierre; Matsunaga, Hiroyuki; Matsushita, Takashi; Mattravers, Carly; Maxfield, Stephen; Mayne, Anna; Mazini, Rachid; Mazur, Michael; Mazzanti, Marcello; Mc Donald, Jeffrey; Mc Kee, Shawn Patrick; McCarn, Allison; McCarthy, Robert; McCubbin, Norman; McFarlane, Kenneth; McGlone, Helen; Mchedlidze, Gvantsa; McMahon, Steve; McPherson, Robert; Meade, Andrew; Mechnich, Joerg; Mechtel, Markus; Medinnis, Mike; Meera-Lebbai, Razzak; Meguro, Tatsuma; Mehlhase, Sascha; Mehta, Andrew; Meier, Karlheinz; Meirose, Bernhard; Melachrinos, Constantinos; Mellado Garcia, Bruce Rafael; Mendoza Navas, Luis; Meng, Zhaoxia; Menke, Sven; Meoni, Evelin; Mermod, Philippe; Merola, Leonardo; Meroni, Chiara; Merritt, Frank; Messina, Andrea; Metcalfe, Jessica; Mete, Alaettin Serhan; Meyer, Jean-Pierre; Meyer, Jochen; Meyer, Joerg; Meyer, Thomas Christian; Meyer, W. Thomas; Miao, Jiayuan; Michal, Sebastien; Micu, Liliana; Middleton, Robin; Migas, Sylwia; Mijović, Liza; Mikenberg, Giora; Mikestikova, Marcela; Mikuž, Marko; Miller, David; Mills, Corrinne; Mills, Bill; Milov, Alexander; Milstead, David; Milstein, Dmitry; Minaenko, Andrey; Miñano, Mercedes; Minashvili, Irakli; Mincer, Allen; Mindur, Bartosz; Mineev, Mikhail; Ming, Yao; Mir, Lluisa-Maria; Mirabelli, Giovanni; Misawa, Shigeki; Miscetti, Stefano; Misiejuk, Andrzej; Mitrevski, Jovan; Mitsou, Vasiliki A.; Miyagawa, Paul; Mjörnmark, Jan-Ulf; Mladenov, Dimitar; Moa, Torbjoern; Moed, Shulamit; Moeller, Victoria; Mönig, Klaus; Möser, Nicolas; Mohr, Wolfgang; Mohrdieck-Möck, Susanne; Moles-Valls, Regina; Molina-Perez, Jorge; Monk, James; Monnier, Emmanuel; Montesano, Simone; Monticelli, Fernando; Moore, Roger; Mora Herrera, Clemencia; Moraes, Arthur; Morais, Antonio; Morel, Julien; Morello, Gianfranco; Moreno, Deywis; Moreno Llácer, María; Morettini, Paolo; Morii, Masahiro; Morley, Anthony Keith; Mornacchi, Giuseppe; Morozov, Sergey; Morris, John; Moser, Hans-Guenther; Mosidze, Maia; Moss, Josh; Mount, Richard; Mountricha, Eleni; Mouraviev, Sergei; Moyse, Edward; Mudrinic, Mihajlo; Mueller, Felix; Mueller, James; Mueller, Klemens; Müller, Thomas; Muenstermann, Daniel; Muir, Alex; Munwes, Yonathan; Murillo Garcia, Raul; Murray, Bill; Mussche, Ido; Musto, Elisa; Myagkov, Alexey; Myska, Miroslav; Nadal, Jordi; Nagai, Koichi; Nagano, Kunihiro; Nagasaka, Yasushi; Nairz, Armin Michael; Nakamura, Koji; Nakano, Itsuo; Nakatsuka, Hiroki; Nanava, Gizo; Napier, Austin; Nash, Michael; Nation, Nigel; Nattermann, Till; Naumann, Thomas; Navarro, Gabriela; Nderitu, Simon Kirichu; Neal, Homer; Nebot, Eduardo; Nechaeva, Polina; Negri, Andrea; Negri, Guido; Nelson, Andrew; Nelson, Timothy Knight; Nemecek, Stanislav; Nemethy, Peter; Nepomuceno, Andre Asevedo; Nessi, Marzio; Neubauer, Mark; Neusiedl, Andrea; Neves, Ricardo; Nevski, Pavel; Newcomer, Mitchel; Nickerson, Richard; Nicolaidou, Rosy; Nicolas, Ludovic; Nicoletti, Giovanni; Nicquevert, Bertrand; Niedercorn, Francois; Nielsen, Jason; Nikiforov, Andriy; Nikolaev, Kirill; Nikolic-Audit, Irena; Nikolopoulos, Konstantinos; Nilsen, Henrik; Nilsson, Paul; Nisati, Aleandro; Nishiyama, Tomonori; Nisius, Richard; Nodulman, Lawrence; Nomachi, Masaharu; Nomidis, Ioannis; Nordberg, Markus; Nordkvist, Bjoern; Notz, Dieter; Novakova, Jana; Nozaki, Mitsuaki; Nožička, Miroslav; Nugent, Ian Michael; Nuncio-Quiroz, Adriana-Elizabeth; Nunes Hanninger, Guilherme; Nunnemann, Thomas; Nurse, Emily; O'Neil, Dugan; O'Shea, Val; Oakham, Gerald; Oberlack, Horst; Ochi, Atsuhiko; Oda, Susumu; Odaka, Shigeru; Odier, Jerome; Ogren, Harold; Oh, Alexander; Oh, Seog; Ohm, Christian; Ohshima, Takayoshi; Ohshita, Hidetoshi; Ohsugi, Takashi; Okada, Shogo; Okawa, Hideki; Okumura, Yasuyuki; Okuyama, Toyonobu; Olchevski, Alexander; Oliveira, Miguel Alfonso; Oliveira Damazio, Denis; Oliver, John; Oliver Garcia, Elena; Olivito, Dominick; Olszewski, Andrzej; Olszowska, Jolanta; Omachi, Chihiro; Onofre, António; Onyisi, Peter; Oram, Christopher; Oreglia, Mark; Oren, Yona; Orestano, Domizia; Orlov, Iliya; Oropeza Barrera, Cristina; Orr, Robert; Ortega, Eduardo; Osculati, Bianca; Ospanov, Rustem; Osuna, Carlos; Ottersbach, John; Ould-Saada, Farid; Ouraou, Ahmimed; Ouyang, Qun; Owen, Mark; Owen, Simon; Oyarzun, Alejandro; Ozcan, Veysi Erkcan; Ozone, Kenji; Ozturk, Nurcan; Pacheco Pages, Andres; Padilla Aranda, Cristobal; Paganis, Efstathios; Pahl, Christoph; Paige, Frank; Pajchel, Katarina; Palestini, Sandro; Pallin, Dominique; Palma, Alberto; Palmer, Jody; Pan, Yibin; Panagiotopoulou, Evgenia; Panes, Boris; Panikashvili, Natalia; Panitkin, Sergey; Pantea, Dan; Panuskova, Monika; Paolone, Vittorio; Papadopoulou, Theodora; Park, Su-Jung; Park, Woochun; Parker, Andy; Parker, Sherwood; Parodi, Fabrizio; Parsons, John; Parzefall, Ulrich; Pasqualucci, Enrico; Passeri, Antonio; Pastore, Fernanda; Pastore, Francesca; Pásztor , Gabriella; Pataraia, Sophio; Pater, Joleen; Patricelli, Sergio; Patwa, Abid; Pauly, Thilo; Peak, Lawrence; Pecsy, Martin; Pedraza Morales, Maria Isabel; Peleganchuk, Sergey; Peng, Haiping; Penson, Alexander; Penwell, John; Perantoni, Marcelo; Perez, Kerstin; Perez Codina, Estel; Pérez García-Estañ, María Teresa; Perez Reale, Valeria; Perini, Laura; Pernegger, Heinz; Perrino, Roberto; Persembe, Seda; Perus, Antoine; Peshekhonov, Vladimir; Petersen, Brian; Petersen, Troels; Petit, Elisabeth; Petridou, Chariclia; Petrolo, Emilio; Petrucci, Fabrizio; Petschull, Dennis; Petteni, Michele; Pezoa, Raquel; Phan, Anna; Phillips, Alan; Piacquadio, Giacinto; Piccinini, Maurizio; Piegaia, Ricardo; Pilcher, James; Pilkington, Andrew; Pina, João Antonio; Pinamonti, Michele; Pinfold, James; Pinto, Belmiro; Pizio, Caterina; Placakyte, Ringaile; Plamondon, Mathieu; Pleier, Marc-Andre; Poblaguev, Andrei; Poddar, Sahill; Podlyski, Fabrice; Poffenberger, Paul; Poggioli, Luc; Pohl, Martin; Polci, Francesco; Polesello, Giacomo; Policicchio, Antonio; Polini, Alessandro; Poll, James; Polychronakos, Venetios; Pomeroy, Daniel; Pommès, Kathy; Ponsot, Patrick; Pontecorvo, Ludovico; Pope, Bernard; Popeneciu, Gabriel Alexandru; Popovic, Dragan; Poppleton, Alan; Popule, Jiri; Portell Bueso, Xavier; Porter, Robert; Pospelov, Guennady; Pospisil, Stanislav; Potekhin, Maxim; Potrap, Igor; Potter, Christina; Potter, Christopher; Potter, Keith; Poulard, Gilbert; Poveda, Joaquin; Prabhu, Robindra; Pralavorio, Pascal; Prasad, Srivas; Pravahan, Rishiraj; Pribyl, Lukas; Price, Darren; Price, Lawrence; Prichard, Paul; Prieur, Damien; Primavera, Margherita; Prokofiev, Kirill; Prokoshin, Fedor; Protopopescu, Serban; Proudfoot, James; Prudent, Xavier; Przysiezniak, Helenka; Psoroulas, Serena; Ptacek, Elizabeth; Puigdengoles, Carles; Purdham, John; Purohit, Milind; Puzo, Patrick; Pylypchenko, Yuriy; Qi, Ming; Qian, Jianming; Qian, Weiming; Qin, Zhonghua; Quadt, Arnulf; Quarrie, David; Quayle, William; Quinonez, Fernando; Raas, Marcel; Radeka, Veljko; Radescu, Voica; Radics, Balint; Rador, Tonguc; Ragusa, Francesco; Rahal, Ghita; Rahimi, Amir; Rajagopalan, Srinivasan; Rammensee, Michael; Rammes, Marcus; Rauscher, Felix; Rauter, Emanuel; Raymond, Michel; Read, Alexander Lincoln; Rebuzzi, Daniela; Redelbach, Andreas; Redlinger, George; Reece, Ryan; Reeves, Kendall; Reinherz-Aronis, Erez; Reinsch, Andreas; Reisinger, Ingo; Reljic, Dusan; Rembser, Christoph; Ren, Zhongliang; Renkel, Peter; Rescia, Sergio; Rescigno, Marco; Resconi, Silvia; Resende, Bernardo; Reznicek, Pavel; Rezvani, Reyhaneh; Richards, Alexander; Richards, Ronald; Richter, Robert; Richter-Was, Elzbieta; Ridel, Melissa; Rijpstra, Manouk; Rijssenbeek, Michael; Rimoldi, Adele; Rinaldi, Lorenzo; Rios, Ryan Randy; Riu, Imma; Rizatdinova, Flera; Rizvi, Eram; Roa Romero, Diego Alejandro; Robertson, Steven; Robichaud-Veronneau, Andree; Robinson, Dave; Robinson, James; Robinson, Mary; Robson, Aidan; Rocha de Lima, Jose Guilherme; Roda, Chiara; Roda Dos Santos, Denis; Rodriguez, Diego; Rodriguez Garcia, Yohany; Roe, Shaun; Røhne, Ole; Rojo, Victoria; Rolli, Simona; Romaniouk, Anatoli; Romanov, Victor; Romeo, Gaston; Romero Maltrana, Diego; Roos, Lydia; Ros, Eduardo; Rosati, Stefano; Rosenbaum, Gabriel; Rosselet, Laurent; Rossetti, Valerio; Rossi, Leonardo Paolo; Rotaru, Marina; Rothberg, Joseph; Rousseau, David; Royon, Christophe; Rozanov, Alexander; Rozen, Yoram; Ruan, Xifeng; Ruckert, Benjamin; Ruckstuhl, Nicole; Rud, Viacheslav; Rudolph, Gerald; Rühr, Frederik; Ruggieri, Federico; Ruiz-Martinez, Aranzazu; Rumyantsev, Leonid; Rurikova, Zuzana; Rusakovich, Nikolai; Rutherfoord, John; Ruwiedel, Christoph; Ruzicka, Pavel; Ryabov, Yury; Ryan, Patrick; Rybkin, Grigori; Rzaeva, Sevda; Saavedra, Aldo; Sadrozinski, Hartmut; Sadykov, Renat; Sakamoto, Hiroshi; Salamanna, Giuseppe; Salamon, Andrea; Saleem, Muhammad; Salihagic, Denis; Salnikov, Andrei; Salt, José; Salvachua Ferrando, Belén; Salvatore, Daniela; Salvatore, Pasquale Fabrizio; Salvucci, Antonio; Salzburger, Andreas; Sampsonidis, Dimitrios; Samset, Björn Hallvard; Sandaker, Heidi; Sander, Heinz Georg; Sanders, Michiel; Sandhoff, Marisa; Sandhu, Pawan; Sandstroem, Rikard; Sandvoss, Stephan; Sankey, Dave; Sanny, Bernd; Sansoni, Andrea; Santamarina Rios, Cibran; Santoni, Claudio; Santonico, Rinaldo; Saraiva, João; Sarangi, Tapas; Sarkisyan-Grinbaum, Edward; Sarri, Francesca; Sasaki, Osamu; Sasao, Noboru; Satsounkevitch, Igor; Sauvage, Gilles; Savard, Pierre; Savine, Alexandre; Savinov, Vladimir; Sawyer, Lee; Saxon, David; Says, Louis-Pierre; Sbarra, Carla; Sbrizzi, Antonio; Scannicchio, Diana; Schaarschmidt, Jana; Schacht, Peter; Schäfer, Uli; Schaetzel, Sebastian; Schaffer, Arthur; Schaile, Dorothee; Schamberger, R.~Dean; Schamov, Andrey; Schegelsky, Valery; Scheirich, Daniel; Schernau, Michael; Scherzer, Max; Schiavi, Carlo; Schieck, Jochen; Schioppa, Marco; Schlenker, Stefan; Schmidt, Evelyn; Schmieden, Kristof; Schmitt, Christian; Schmitz, Martin; Schott, Matthias; Schouten, Doug; Schovancova, Jaroslava; Schram, Malachi; Schreiner, Alexander; Schroeder, Christian; Schroer, Nicolai; Schroers, Marcel; Schultes, Joachim; Schultz-Coulon, Hans-Christian; Schumacher, Jan; Schumacher, Markus; Schumm, Bruce; Schune, Philippe; Schwanenberger, Christian; Schwartzman, Ariel; Schwemling, Philippe; Schwienhorst, Reinhard; Schwierz, Rainer; Schwindling, Jerome; Scott, Bill; Searcy, Jacob; Sedykh, Evgeny; Segura, Ester; Seidel, Sally; Seiden, Abraham; Seifert, Frank; Seixas, José; Sekhniaidze, Givi; Seliverstov, Dmitry; Sellden, Bjoern; Semprini-Cesari, Nicola; Serfon, Cedric; Serin, Laurent; Seuster, Rolf; Severini, Horst; Sevior, Martin; Sfyrla, Anna; Shabalina, Elizaveta; Shamim, Mansoora; Shan, Lianyou; Shank, James; Shao, Qi Tao; Shapiro, Marjorie; Shatalov, Pavel; Shaw, Kate; Sherman, Daniel; Sherwood, Peter; Shibata, Akira; Shimojima, Makoto; Shin, Taeksu; Shmeleva, Alevtina; Shochet, Mel; Shupe, Michael; Sicho, Petr; Sidoti, Antonio; Siegert, Frank; Siegrist, James; Sijacki, Djordje; Silbert, Ohad; Silver, Yiftah; Silverstein, Daniel; Silverstein, Samuel; Simak, Vladislav; Simic, Ljiljana; Simion, Stefan; Simmons, Brinick; Simonyan, Margar; Sinervo, Pekka; Sinev, Nikolai; Sipica, Valentin; Siragusa, Giovanni; Sisakyan, Alexei; Sivoklokov, Serguei; Sjölin, Jörgen; Sjursen, Therese; Skovpen, Kirill; Skubic, Patrick; Slater, Mark; Slavicek, Tomas; Sliwa, Krzysztof; Sloper, John erik; Sluka, Tomas; Smakhtin, Vladimir; Smirnov, Sergei; Smirnov, Yuri; Smirnova, Lidia; Smirnova, Oxana; Smith, Ben Campbell; Smith, Douglas; Smith, Kenway; Smizanska, Maria; Smolek, Karel; Snesarev, Andrei; Snow, Steve; Snow, Joel; Snuverink, Jochem; Snyder, Scott; Soares, Mara; Sobie, Randall; Sodomka, Jaromir; Soffer, Abner; Solans, Carlos; Solar, Michael; Solc, Jaroslav; Solfaroli Camillocci, Elena; Solodkov, Alexander; Solovyanov, Oleg; Soluk, Richard; Sondericker, John; Sopko, Vit; Sopko, Bruno; Sosebee, Mark; Soukharev, Andrey; Spagnolo, Stefania; Spanò, Francesco; Spencer, Edwin; Spighi, Roberto; Spigo, Giancarlo; Spila, Federico; Spiwoks, Ralf; Spousta, Martin; Spreitzer, Teresa; Spurlock, Barry; St. Denis, Richard Dante; Stahl, Thorsten; Stahlman, Jonathan; Stamen, Rainer; Stancu, Stefan Nicolae; Stanecka, Ewa; Stanek, Robert; Stanescu, Cristian; Stapnes, Steinar; Starchenko, Evgeny; Stark, Jan; Staroba, Pavel; Starovoitov, Pavel; Stastny, Jan; Stavina, Pavel; Stavropoulos, Georgios; Steele, Genevieve; Steinbach, Peter; Steinberg, Peter; Stekl, Ivan; Stelzer, Bernd; Stelzer, Harald Joerg; Stelzer-Chilton, Oliver; Stenzel, Hasko; Stevenson, Kyle; Stewart, Graeme; Stockton, Mark; Stoerig, Kathrin; Stoicea, Gabriel; Stonjek, Stefan; Strachota, Pavel; Stradling, Alden; Straessner, Arno; Strandberg, Jonas; Strandberg, Sara; Strandlie, Are; Strauss, Michael; Strizenec, Pavol; Ströhmer, Raimund; Strom, David; Stroynowski, Ryszard; Strube, Jan; Stugu, Bjarne; Su, Dong; Soh, Dart-yin; Sugaya, Yorihito; Sugimoto, Takuya; Suhr, Chad; Suk, Michal; Sulin, Vladimir; Sultansoy, Saleh; Sumida, Toshi; Sun, Xiaohu; Sundermann, Jan Erik; Suruliz, Kerim; Sushkov, Serge; Susinno, Giancarlo; Sutton, Mark; Suzuki, Takuya; Suzuki, Yu; Sykora, Ivan; Sykora, Tomas; Szymocha, Tadeusz; Sánchez, Javier; Ta, Duc; Tackmann, Kerstin; Taffard, Anyes; Tafirout, Reda; Taga, Adrian; Takahashi, Yuta; Takai, Helio; Takashima, Ryuichi; Takeda, Hiroshi; Takeshita, Tohru; Talby, Mossadek; Talyshev, Alexey; Tamsett, Matthew; Tanaka, Junichi; Tanaka, Reisaburo; Tanaka, Satoshi; Tanaka, Shuji; Tapprogge, Stefan; Tardif, Dominique; Tarem, Shlomit; Tarrade, Fabien; Tartarelli, Giuseppe Francesco; Tas, Petr; Tasevsky, Marek; Tassi, Enrico; Tatarkhanov, Mous; Taylor, Christopher; Taylor, Frank; Taylor, Geoffrey; Taylor, Ryan P.; Taylor, Wendy; Teixeira-Dias, Pedro; Ten Kate, Herman; Teng, Ping-Kun; Tennenbaum-Katan, Yaniv-David; Terada, Susumu; Terashi, Koji; Terron, Juan; Terwort, Mark; Testa, Marianna; Teuscher, Richard; Thioye, Moustapha; Thoma, Sascha; Thomas, Juergen; Thompson, Stan; Thompson, Emily; Thompson, Peter; Thompson, Paul; Thompson, Ray; Thomson, Evelyn; Thun, Rudolf; Tic, Tomas; Tikhomirov, Vladimir; Tikhonov, Yury; Tipton, Paul; Tique Aires Viegas, Florbela De Jes; Tisserant, Sylvain; Toczek, Barbara; Todorov, Theodore; Todorova-Nova, Sharka; Toggerson, Brokk; Tojo, Junji; Tokár, Stanislav; Tokushuku, Katsuo; Tollefson, Kirsten; Tomasek, Lukas; Tomasek, Michal; Tomoto, Makoto; Tompkins, Lauren; Toms, Konstantin; Tonoyan, Arshak; Topfel, Cyril; Topilin, Nikolai; Torrence, Eric; Torró Pastor, Emma; Toth, Jozsef; Touchard, Francois; Tovey, Daniel; Trefzger, Thomas; Tremblet, Louis; Tricoli, Alesandro; Trigger, Isabel Marian; Trincaz-Duvoid, Sophie; Trinh, Thi Nguyet; Tripiana, Martin; Triplett, Nathan; Trischuk, William; Trivedi, Arjun; Trocmé, Benjamin; Troncon, Clara; Trzupek, Adam; Tsarouchas, Charilaos; Tseng, Jeffrey; Tsiakiris, Menelaos; Tsiareshka, Pavel; Tsionou, Dimitra; Tsipolitis, Georgios; Tsiskaridze, Vakhtang; Tskhadadze, Edisher; Tsukerman, Ilya; Tsulaia, Vakhtang; Tsung, Jieh-Wen; Tsuno, Soshi; Tsybychev, Dmitri; Tuggle, Joseph; Turecek, Daniel; Turk Cakir, Ilkay; Turlay, Emmanuel; Tuts, Michael; Twomey, Matthew Shaun; Tylmad, Maja; Tyndel, Mike; Uchida, Kirika; Ueda, Ikuo; Ugland, Maren; Uhlenbrock, Mathias; Uhrmacher, Michael; Ukegawa, Fumihiko; Unal, Guillaume; Undrus, Alexander; Unel, Gokhan; Unno, Yoshinobu; Urbaniec, Dustin; Urkovsky, Evgeny; Urquijo, Phillip; Urrejola, Pedro; Usai, Giulio; Uslenghi, Massimiliano; Vacavant, Laurent; Vacek, Vaclav; Vachon, Brigitte; Vahsen, Sven; Valente, Paolo; Valentinetti, Sara; Valkar, Stefan; Valladolid Gallego, Eva; Vallecorsa, Sofia; Valls Ferrer, Juan Antonio; Van Berg, Richard; van der Graaf, Harry; van der Kraaij, Erik; van der Poel, Egge; van der Ster, Daniel; van Eldik, Niels; van Gemmeren, Peter; van Kesteren, Zdenko; van Vulpen, Ivo; Vandelli, Wainer; Vaniachine, Alexandre; Vankov, Peter; Vannucci, Francois; Vari, Riccardo; Varnes, Erich; Varouchas, Dimitris; Vartapetian, Armen; Varvell, Kevin; Vasilyeva, Lidia; Vassilakopoulos, Vassilios; Vazeille, Francois; Vellidis, Constantine; Veloso, Filipe; Veneziano, Stefano; Ventura, Andrea; Ventura, Daniel; Venturi, Manuela; Venturi, Nicola; Vercesi, Valerio; Verducci, Monica; Verkerke, Wouter; Vermeulen, Jos; Vetterli, Michel; Vichou, Irene; Vickey, Trevor; Viehhauser, Georg; Villa, Mauro; Villani, Giulio; Villaplana Perez, Miguel; Vilucchi, Elisabetta; Vincter, Manuella; Vinek, Elisabeth; Vinogradov, Vladimir; Viret, Sébastien; Virzi, Joseph; Vitale , Antonio; Vitells, Ofer; Vivarelli, Iacopo; Vives Vaque, Francesc; Vlachos, Sotirios; Vlasak, Michal; Vlasov, Nikolai; Vogel, Adrian; Vokac, Petr; Volpi, Matteo; von der Schmitt, Hans; von Loeben, Joerg; von Radziewski, Holger; von Toerne, Eckhard; Vorobel, Vit; Vorwerk, Volker; Vos, Marcel; Voss, Rudiger; Voss, Thorsten Tobias; Vossebeld, Joost; Vranjes, Nenad; Vranjes Milosavljevic, Marija; Vrba, Vaclav; Vreeswijk, Marcel; Vu Anh, Tuan; Vudragovic, Dusan; Vuillermet, Raphael; Vukotic, Ilija; Wagner, Peter; Walbersloh, Jorg; Walder, James; Walker, Rodney; Walkowiak, Wolfgang; Wall, Richard; Wang, Chiho; Wang, Haichen; Wang, Jin; Wang, Song-Ming; Warburton, Andreas; Ward, Patricia; Warsinsky, Markus; Wastie, Roy; Watkins, Peter; Watson, Alan; Watson, Miriam; Watts, Gordon; Watts, Stephen; Waugh, Anthony; Waugh, Ben; Weber, Marc; Weber, Manuel; Weber, Michele; Weber, Pavel; Weidberg, Anthony; Weingarten, Jens; Weiser, Christian; Wellenstein, Hermann; Wells, Phillippa; Wen, Mei; Wenaus, Torre; Wendler, Shanti; Wengler, Thorsten; Wenig, Siegfried; Wermes, Norbert; Werner, Matthias; Werner, Per; Werth, Michael; Werthenbach, Ulrich; Wessels, Martin; Whalen, Kathleen; White, Andrew; White, Martin; White, Sebastian; Whitehead, Samuel Robert; Whiteson, Daniel; Whittington, Denver; Wicek, Francois; Wicke, Daniel; Wickens, Fred; Wiedenmann, Werner; Wielers, Monika; Wienemann, Peter; Wiglesworth, Craig; Wiik, Liv Antje Mari; Wildauer, Andreas; Wildt, Martin Andre; Wilkens, Henric George; Williams, Eric; Williams, Hugh; Willocq, Stephane; Wilson, John; Wilson, Michael Galante; Wilson, Alan; Wingerter-Seez, Isabelle; Winklmeier, Frank; Wittgen, Matthias; Wolter, Marcin Wladyslaw; Wolters, Helmut; Wosiek, Barbara; Wotschack, Jorg; Woudstra, Martin; Wraight, Kenneth; Wright, Catherine; Wright, Dennis; Wrona, Bozydar; Wu, Sau Lan; Wu, Xin; Wulf, Evan; Wynne, Benjamin; Xaplanteris, Leonidas; Xella, Stefania; Xie, Song; Xu, Da; Xu, Neng; Yamada, Miho; Yamamoto, Akira; Yamamoto, Kyoko; Yamamoto, Shimpei; Yamamura, Taiki; Yamaoka, Jared; Yamazaki, Takayuki; Yamazaki, Yuji; Yan, Zhen; Yang, Haijun; Yang, Un-Ki; Yang, Zhaoyu; Yao, Weiming; Yao, Yushu; Yasu, Yoshiji; Ye, Jingbo; Ye, Shuwei; Yilmaz, Metin; Yoosoofmiya, Reza; Yorita, Kohei; Yoshida, Riktura; Young, Charles; Youssef, Saul; Yu, Dantong; Yu, Jaehoon; Yuan, Li; Yurkewicz, Adam; Zaidan, Remi; Zaitsev, Alexander; Zajacova, Zuzana; Zambrano, Valentina; Zanello, Lucia; Zaytsev, Alexander; Zeitnitz, Christian; Zeller, Michael; Zemla, Andrzej; Zendler, Carolin; Zenin, Oleg; Ženiš, Tibor; Zenonos, Zenonas; Zenz, Seth; Zerwas, Dirk; Zevi della Porta, Giovanni; Zhan, Zhichao; Zhang, Huaqiao; Zhang, Jinlong; Zhang, Qizhi; Zhang, Xueyao; Zhao, Long; Zhao, Tianchi; Zhao, Zhengguo; Zhemchugov, Alexey; Zhong, Jiahang; Zhou, Bing; Zhou, Ning; Zhou, Yue; Zhu, Cheng Guang; Zhu, Hongbo; Zhu, Yingchun; Zhuang, Xuai; Zhuravlov, Vadym; Zimmermann, Robert; Zimmermann, Simone; Zimmermann, Stephanie; Ziolkowski, Michael; Živković, Lidija; Zobernig, Georg; Zoccoli, Antonio; zur Nedden, Martin; Zutshi, Vishnu

    2010-01-01

    The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

  18. ATLAS PHd Grants 2015

    CERN Multimedia

    Marcelloni De Oliveira, Claudia

    2015-01-01

    ATLAS PHd Grants - We are excited to announce the creation of a dedicated grant scheme (thanks to a donation from Fabiola Gianotti and Peter Jenni following their award from the Fundamental Physics Prize foundation) to encourage young and high-caliber doctoral students in particle physics research (including computing for physics) and permit them to obtain world class exposure, supervision and training within the ATLAS collaboration. This special PhD Grant is aimed at graduate students preparing a doctoral thesis in particle physics (incl. computing for physics) to spend one year at CERN followed by one year support also at the home Institute.

  19. ATLAS/CMS Upgrades

    CERN Document Server

    Horii, Yasuyuki; The ATLAS collaboration

    2016-01-01

    Precision studies of the Standard Model (SM) and the searches of the physics beyond the SM are ongoing at the ATLAS and CMS experiments at the Large Hadron Collider (LHC). A luminosity upgrade of LHC is planned, which provides a significant challenge for the experiments. In this report, the plans of the ATLAS and CMS upgrades are introduced. Physics prospects for selected topics, including Higgs coupling measurements, Bs,d -> mumu decays, and top quark decays through flavor changing neutral current, are also shown.

  20. The Herschel ATLAS

    CERN Document Server

    Eales, S; Clements, D; Cooray, A R; De Zotti, G; Dye, S; Ivison, R; Jarvis, M; Lagache, G; Maddox, S; Negrello, M; Serjeant, S; Thompson, M A; Van Kampen, E; Amblard, A; Andreani, P; Baes, M; Beelen, A; Bendo, G J; Benford, D; Bertoldi, F; Bock, J; Bonfield, D; Boselli, A; Bridge, C; Buat, V; Burgarella, D; Carlberg, R; Cava, A; Chanial, P; Charlot, S; Christopher, N; Coles, P; Cortese, L; Dariush, A; Da Cunha, E; Dalton, G; Danese, L; Dannerbauer, H; Driver, S; Dunlop, J; Fan, L; Farrah, D; Frayer, D; Frenk, C; Geach, J; Gardner, J; Gomez, H; Gonzalez-Nuevo, J; Gonzalez-Solares, E; Griffin, M; Hardcastle, M; Hatziminaoglou, E; Herranz, D; Hughes, D; Ibar, E; Jeong, Woong-Seob; Lacey, C; Lapi, A; Lee, M; Leeuw, L; Liske, J; Lopez-Caniego, M; Müller, T; Nandra, K; Panuzzo, P; Papageorgiou, A; Patanchon, G; Peacock, J; Pearson, C; Phillipps, S; Pohlen, M; Popescu, C; Rawlings, S; Rigby, E; Rigopoulou, M; Rodighiero, G; Sansom, A; Schulz, B; Scott, D; Smith, D J B; Sibthorpe, B; Smail, I; Stevens, J; Sutherland, W; Takeuchi, T; Tedds, J; Temi, P; Tuffs, R; Trichas, M; Vaccari, M; Valtchanov, I; Van der Werf, P; Verma, A; Vieria, J; Vlahakis, C; White, Glenn J

    2009-01-01

    The Herschel ATLAS is the largest open-time key project that will be carried out on the Herschel Space Observatory. It will survey 510 square degrees of the extragalactic sky, four times larger than all the other Herschel surveys combined, in five far-infrared and submillimetre bands. We describe the survey, the complementary multi-wavelength datasets that will be combined with the Herschel data, and the six major science programmes we are undertaking. Using new models based on a previous submillimetre survey of galaxies, we present predictions of the properties of the ATLAS sources in other wavebands.

  1. ATLAS fast physics monitoring

    Indian Academy of Sciences (India)

    Karsten Köneke; on behalf of the ATLAS Collaboration

    2012-11-01

    The ATLAS experiment at the Large Hadron Collider is recording data from proton–proton collisions at a centre-of-mass energy of 7 TeV since the spring of 2010. The integrated luminosity has grown nearly exponentially since then and continues to rise fast. The ATLAS Collaboration has set up a framework to automatically process the rapidly growing dataset and produce performance and physics plots for the most interesting analyses. The system is designed to give fast feedback. The histograms are produced within hours of data reconstruction (2–3 days after data taking). Hints of potentially interesting physics signals obtained this way are followed up by physics groups.

  2. ATLAS Jet Energy Scale

    CERN Document Server

    Schouten, D; Vetterli, M

    2012-01-01

    Jets originating from the fragmentation of quarks and gluons are the most common, and complicated, final state objects produced at hadron colliders. A precise knowledge of their energy calibration is therefore of great importance at experiments at the Large Hadron Collider at CERN, while is very difficult to ascertain. We present in-situ techniques and results for the jet energy scale at ATLAS using recent collision data. ATLAS has demonstrated an understanding of the necessary jet energy corrections to within \\approx 4% in the central region of the calorimeter.

  3. ATLAS forward physics program

    CERN Document Server

    HELLER, M; The ATLAS collaboration

    2010-01-01

    The variety of forward detectors installed in the vicinity of the ATLAS experiment allows to look over a wide range of forward physics topics. They ensure a good information about rapidity gaps, and the installation of very forward detectors (ALFA and AFP) will allow to tag the leading proton(s) remaining from the different processes studied. Most of the studies have to be done at low luminosity to avoid pile-up, but the AFP project offers a really exiting future for the ATLAS forward physics program. We also present how these forward detectors can be used to measure the relative and absolute luminosity.

  4. Improving ATLAS reprocessing software

    CERN Document Server

    Novak, Tadej

    2014-01-01

    For my CERN Summer Student programme I have been working with ATLAS reprocessing group. Data taken at ATLAS experiment is not only processed after being taken, but is also reprocessed multiple times afterwards. This allows applying new alignments, calibration of detector and using improved or faster algorithms. Reprocessing is usually done in campaigns for different periods of data or for different interest groups. The idea of my project was to simplify the definition of tasks and monitoring of their progress. I created a LIST configuration files generator script in Python and a monitoring webpage for tracking current reprocessing tasks.

  5. ATLAS TV PROJECT

    CERN Multimedia

    2005-01-01

    CAMERA ON TOROID The ATLAS barrel toroid system consists of eight coils, each of axial length 25.3 m, assembled radially and symmetrically around the beam axis. The coils are of a flat racetrack type with two double-pancake windings made of 20.5 kA aluminium-stabilized niobium-titanium superconductor. The video is about the slow lowering of the toroid down to the cavern of ATLAS. It is very demanding task. The camera is placed on top of the toroid.

  6. HIGGS RESULTS FROM ATLAS

    CERN Document Server

    Benhar Noccioli, Eleonora; The ATLAS collaboration

    2016-01-01

    This document presents the most recent ATLAS results on the searches for additional heavy scalars, which could confirm the existence of an extended Higgs sector. The new results include searches for charged as well as for neutral heavy Higgs bosons, decaying to a variety of final states. All analyses are performed using the 2015 LHC pp collision data at 13 TeV centre-of-mass energy, corresponding to an integrated luminosity of 3.2 fb−1 recorded with the ATLAS detector.

  7. Level-2 IPE for the Laguna Verde NPS

    International Nuclear Information System (INIS)

    In response to generic letter GL 88-20, Comision Federal de Electricidad and Instituto de Investigaciones Electricas have jointly developed the individual plant examination (IPE) for the Laguna Verde nuclear power station unit I (LVNPS). This plant is a 675-MW(electric) boiling water reactor (BWR/5) with a reinforced concrete Mark-II containment. The approach used to fulfill the IPE requirements was to make a level-1 probabilistic risk assessment (IPE level 1) plus a containment performance analysis including the behavior and release of the fission products to the environment (IPE level 2). This paper describes the level-2 portion of the LVNPS IPE, paying special attention to both some improvements to the traditional analytical methods and to the main results

  8. Regulatory requirements on PSA level 2: Review, aspects and applications

    International Nuclear Information System (INIS)

    The general requirements concerning utility obligations, probabilistic safety criteria (CDF should not exceed 1.0E-4/reactor year and LERF should not exceed 1.0E-5/reactor year), documentation and results, living PSA requirements and major steps in level 2 PSA are presented. PSA developments in Slovakia, collection and assembly of information, plant damage states, containment performance and failure modes, severe accident progression analyses, containment failure modes and source terms as a part of performed level 2 PSA are discussed. The PSA applications in design and operation evaluation, support to plant upgrade and modifications are also described. At the end, the following conclusion is made: more extensive PSA application needs to foster the exchange of experience and communication between PSA specialists, non-PSA engineers, designers, and the regulatory body staff responsible for safety assessment, inspection and enforcement

  9. Differing views: Can chimpanzees do Level 2 perspective-taking?

    OpenAIRE

    Karg, K.; Schmelz, M; Call, J.; Tomasello, M

    2016-01-01

    Although chimpanzees understand what others may see, it is unclear whether they understand how others see things (Level 2 perspective-taking). We investigated whether chimpanzees can predict the behavior of a conspecific which is holding a mistaken perspective that differs from their own. The subject competed with a conspecific over two food sticks. While the subject could see that both were the same size, to the competitor one appeared bigger than the other. In a previously established game,...

  10. A thermosiphon for ATLAS

    CERN Multimedia

    Rosaria Marraffino

    2013-01-01

    A new thermosiphon cooling system, designed for the ATLAS silicon detectors by CERN’s EN-CV team in collaboration with the experiment, will replace the current system in the next LHC run in 2015. Using the basic properties of density difference and making gravity do the hard work, the thermosiphon promises to be a very reliable solution that will ensure the long-term stability of the whole system.   Former compressor-based cooling system of the ATLAS inner detectors. The system is currently being replaced by the innovative thermosiphon. (Photo courtesy of Olivier Crespo-Lopez). Reliability is the major issue for the present cooling system of the ATLAS silicon detectors. The system was designed 13 years ago using a compressor-based cooling cycle. “The current cooling system uses oil-free compressors to avoid fluid pollution in the delicate parts of the silicon detectors,” says Michele Battistin, EN-CV-PJ section leader and project leader of the ATLAS thermosiphon....

  11. ATLAS solenoid operates underground

    CERN Multimedia

    2006-01-01

    A new phase for the ATLAS collaboration started with the first operation of a completed sub-system: the Central Solenoid. Teams monitoring the cooling and powering of the ATLAS solenoid in the control room. The solenoid was cooled down to 4.5 K from 17 to 23 May. The first current was established the same evening that the solenoid became cold and superconductive. 'This makes the ATLAS Central Solenoid the very first cold and superconducting magnet to be operated in the LHC underground areas!', said Takahiko Kondo, professor at KEK. Though the current was limited to 1 kA, the cool-down and powering of the solenoid was a major milestone for all of the control, cryogenic, power and vacuum systems-a milestone reached by the hard work and many long evenings invested by various teams from ATLAS, all of CERN's departments and several large and small companies. Since the Central Solenoid and the barrel liquid argon (LAr) calorimeter share the same cryostat vacuum vessel, this achievement was only possible in perfe...

  12. ATLAS starts moving in

    CERN Multimedia

    2004-01-01

    The first large active detector component was lowered into the ATLAS cavern on 1 March. It consisted of the 8 modules forming the lower part of the central barrel of the tile hadronic calorimeter. The work of assembling the barrel, which comprises 64 modules, started the following day.

  13. Prime wires for ATLAS

    CERN Multimedia

    2003-01-01

    In an award ceremony on 3 September, ATLAS honoured the French company Axon Cable for its special coaxial cables, which were purpose-built for the Liquid Argon calorimeter modules. Working for CERN since the 1970s, Axon' Cable received the ATLAS supplier award last week for its contribution to the liquid argon calorimeter cables of ATLAS (LAL/Orsay, France and University of Victoria, Canada), started in 1996. Its two sets of minicoaxial cables, called harnesses "A" and "B", are designed to function in the harsh conditions in the liquid argon (at 90 Kelvin or -183°C) and under extreme radiation (up to several Mrads). The cables are mainly used for the readout of the calorimeters, and are connected to the outside world by 114 signal feedthroughs with 1920 channels each. The signal from the detectors is transmitted directly without any amplification, which imposes tight restrictions on the impedance and on the signal propagation time of the cables. Peter Jenni, ATLAS spokesperson, gives the award for best s...

  14. An Icelandic wind atlas

    Science.gov (United States)

    Nawri, Nikolai; Nína Petersen, Gudrun; Bjornsson, Halldór; Arason, Þórður; Jónasson, Kristján

    2013-04-01

    While Iceland has ample wind, its use for energy production has been limited. Electricity in Iceland is generated from renewable hydro- and geothermal source and adding wind energy has not be considered practical or even necessary. However, adding wind into the energy mix is becoming a more viable options as opportunities for new hydro or geothermal power installation become limited. In order to obtain an estimate of the wind energy potential of Iceland a wind atlas has been developed as a part of the Nordic project "Improved Forecast of Wind, Waves and Icing" (IceWind). The atlas is based on mesoscale model runs produced with the Weather Research and Forecasting (WRF) Model and high-resolution regional analyses obtained through the Wind Atlas Analysis and Application Program (WAsP). The wind atlas shows that the wind energy potential is considerable. The regions with the strongest average wind are nevertheless impractical for wind farms, due to distance from road infrastructure and power grid as well as harsh winter climate. However, even in easily accessible regions wind energy potential in Iceland, as measured by annual average power density, is among the highest in Western Europe. There is a strong seasonal cycle, with wintertime power densities throughout the island being at least a factor of two higher than during summer. Calculations show that a modest wind farm of ten medium size turbines would produce more energy throughout the year than a small hydro power plants making wind energy a viable additional option.

  15. HWW in ATLAS

    CERN Document Server

    Rados, Pere; The ATLAS collaboration

    2016-01-01

    The H-->WW channel plays an important role in Higgs boson property measurements, searches for rare decay modes, and searches for possible extended Higgs sectors. In this talk the latest H-->WW results from ATLAS will be briefly summarised.

  16. Atlas of NATO.

    Science.gov (United States)

    Young, Harry F.

    This atlas provides basic information about the North Atlantic Treaty Organization (NATO). Formed in response to growing concern for the security of Western Europe after World War II, NATO is a vehicle for Western efforts to reduce East-West tensions and the level of armaments. NATO promotes political and economic collaboration as well as military…

  17. Top physics in ATLAS

    CERN Document Server

    Naranjo, Roger

    2016-01-01

    These proceedings summarize the latest measurements on top production, top properties and searches using the ATLAS detector at the LHC. The measurements are performed on $pp$ collision data with a center of mass energy $\\sqrt{s} = 7, 8$ and $13$ TeV.

  18. Exotic searches at ATLAS

    CERN Document Server

    Turra, Ruggero; The ATLAS collaboration

    2016-01-01

    The ATLAS detector has collected 3.2 fb^-1 of proton-proton collisions at 13 TeV centre of mass energy during the 2015 LHC run. A selected review of the recent result are presented in the context of the direct search for BSM, not SUSY, not BSM Higgs.

  19. SUPERSYMMETRY SEARCHES IN ATLAS

    CERN Document Server

    Romero Adam, Elena; The ATLAS collaboration

    2016-01-01

    Weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. This contribution summarises recent ATLAS results for searches for supersymmetric (SUSY) particles with the LHC Run 1 data at √s = 8 TeV. A sensitivity study for the √s = 13 TeV data is also briefly presented.

  20. ATLAS Experiment Brochure

    CERN Multimedia

    Goldfarb, Steven

    2016-01-01

    ATLAS is one of the four major experiments at the Large Hadron Collider at CERN. It is a general-purpose particle physics experiment run by an international collaboration, and is designed to exploit the full discovery potential and the huge range of physics opportunities that the LHC provides.

  1. ATLAS "Splash event" 2008

    CERN Multimedia

    ATLAS, Experiment

    2014-01-01

    "Splash events": As the LHC was being tuned up on 10 September 2008, beam was initially directed at beam collimators just outside the detector, so that a splash of particles would fill much of the detector allowing ATLAS experimenters to prepare the detector for actual running.

  2. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    2000-01-01

    Different phases of realisation to Point 1 : zone of the ATLAS experiment The ATLAS experimental area is located in Point 1, just across the main CERN entrance, in the commune of Meyrin. There people are ever so busy to finish the different infrastructures for ATLAS. Real underground video. When passing throw the walls the succeeding can be heard and seen. The film has original working sound.

  3. Taking ATLAS to new heights

    CERN Multimedia

    Abha Eli Phoboo, ATLAS experiment

    2013-01-01

    Earlier this month, 51 members of the ATLAS collaboration trekked up to the highest peak in the Atlas Mountains, Mt. Toubkal (4,167m), in North Africa.    The physicists were in Marrakech, Morocco, attending the ATLAS Overview Week (7 - 11 October), which was held for the first time on the African continent. Around 300 members of the collaboration met to discuss the status of the LS1 upgrades and plans for the next run of the LHC. Besides the trek, 42 ATLAS members explored the Saharan sand dunes of Morocco on camels.  Photos courtesy of Patrick Jussel.

  4. Exploiting Aura OMI Level 2 Data with High Resolution Visualization

    Science.gov (United States)

    Wei, J. C.; Yang, W.; Johnson, J. E.; Zhao, P.; Gerasimov, I. V.; Pham, L.; Vicente, G. A.; Shen, S.

    2014-12-01

    Satellite data products are important for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if the satellite data are well utilized and interpreted, such as model inputs from satellite, or extreme event (such as volcano eruption, dust storm, …etc) interpretation from satellite. Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite data products provided by NASA and other organizations. One way to help users better understand the satellite data is to provide data along with 'Images', including accurate pixel-level (Level 2) information, pixel coverage area delineation, and science team recommended quality screening for individual geophysical parameters. Goddard Earth Sciences Data and Information Services Center (GES DISC) always strives to best support (i.e., Software-as-a-service, SaaS) the user-community for NASA Earth Science Data. In this case, we will present a new visualization tool that helps users exploiting Aura Ozone Monitoring Instrument (OMI) Level 2 data. This new visualization service utilizes Open Geospatial Consortium (OGC) standard-compliant Web Mapping Service (WMS) and Web Coverage Service (WCS) calls in the backend infrastructure. The functionality of the service allows users to select data sources (e.g., multiple parameters under the same measurement, like NO2 and SO2 from OMI Level 2 or same parameter with different methods of aggregation, like NO2 in OMNO2G and OMNO2D products), defining area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting and reformatting. The interface will also be able to connect to other OGC WMS and WCS servers, which will greatly enhance its expandability to integrate additional outside data/map sources (such as Global Imagery Browse Services (GIBS)).

  5. Review of APR+ Level 2 PSA. Revision 2

    Energy Technology Data Exchange (ETDEWEB)

    Lehner, John R. [Brookhaven National Lab. (BNL), Upton, NY (United States); Mubayi, Vinod [Brookhaven National Lab. (BNL), Upton, NY (United States); Pratt, W. Trevor [Brookhaven National Lab. (BNL), Upton, NY (United States); Kim, Do Sam [Korea Institute of Nuclear Safety (KINS), Daejeon (Korea, Republic of); Cho, Yong Jin [Korea Institute of Nuclear Safety (KINS), Daejeon (Korea, Republic of); Cho, Sang Jin [Korea Institute of Nuclear Safety (KINS), Daejeon (Korea, Republic of); Kim, In Goo [Korea Institute of Nuclear Safety (KINS), Daejeon (Korea, Republic of)

    2012-02-17

    Brookhaven National Laboratory (BNL) assisted the Korea Institute of Nuclear Safety (KINS) in reviewing the Level 2 Probabilistic Safety Assessment (PSA) of the APR+ Advanced Pressurized Water Reactor (PWR) prepared by the Korea Hydro & Nuclear Power Co., Ltd (KHNP) and KEPCO Engineering & Construction Co., Inc. (KEPCO-E&C). The work described in this report involves a review of the APR+ Level 2 PSA submittal [Ref. 1]. The PSA and, therefore, the review is limited to consideration of accidents initiated by internal events. As part of the review process, the review team also developed three sets of Requests for Additional Information (RAIs). These RAIs were provided to KHNP and KEPCO-E&C for their evaluation and response. This final detailed report documents the review findings for each technical element of the PSA and includes consideration of all of the RAIs made by the reviewers as well as the associated responses. This final report was preceded by an interim report [Ref. 2] that focused on identifying important issues regarding the PSA. In addition, a final meeting on the project was held at BNL on November 21-22, 2011, where BNL and KINS reviewers discussed their preliminary review findings with KHNP and KEPCO-E&C staffs. Additional information obtained during this final meeting was also used to inform the review findings of this final report. The review focused not only on the robustness of the APR+ design to withstand severe accidents, but also on the capability and acceptability of the Level 2 PSA in terms of level of detail and completeness. The Korean nuclear regulatory authorities will decide whether the PSA is acceptable and the BNL review team is providing its comments for KINS consideration. Section 2.0 provides the basis for the BNL review. Section 3.0 presents the review of each technical element of the PSA. Conclusions and a summary are presented in Section 4.0. Section 5.0 contains the references.

  6. Brain templates and atlases.

    Science.gov (United States)

    Evans, Alan C; Janke, Andrew L; Collins, D Louis; Baillet, Sylvain

    2012-08-15

    The core concept within the field of brain mapping is the use of a standardized, or "stereotaxic", 3D coordinate frame for data analysis and reporting of findings from neuroimaging experiments. This simple construct allows brain researchers to combine data from many subjects such that group-averaged signals, be they structural or functional, can be detected above the background noise that would swamp subtle signals from any single subject. Where the signal is robust enough to be detected in individuals, it allows for the exploration of inter-individual variance in the location of that signal. From a larger perspective, it provides a powerful medium for comparison and/or combination of brain mapping findings from different imaging modalities and laboratories around the world. Finally, it provides a framework for the creation of large-scale neuroimaging databases or "atlases" that capture the population mean and variance in anatomical or physiological metrics as a function of age or disease. However, while the above benefits are not in question at first order, there are a number of conceptual and practical challenges that introduce second-order incompatibilities among experimental data. Stereotaxic mapping requires two basic components: (i) the specification of the 3D stereotaxic coordinate space, and (ii) a mapping function that transforms a 3D brain image from "native" space, i.e. the coordinate frame of the scanner at data acquisition, to that stereotaxic space. The first component is usually expressed by the choice of a representative 3D MR image that serves as target "template" or atlas. The native image is re-sampled from native to stereotaxic space under the mapping function that may have few or many degrees of freedom, depending upon the experimental design. The optimal choice of atlas template and mapping function depend upon considerations of age, gender, hemispheric asymmetry, anatomical correspondence, spatial normalization methodology and disease

  7. Differing views: Can chimpanzees do Level 2 perspective-taking?

    Science.gov (United States)

    Karg, Katja; Schmelz, Martin; Call, Josep; Tomasello, Michael

    2016-05-01

    Although chimpanzees understand what others may see, it is unclear whether they understand how others see things (Level 2 perspective-taking). We investigated whether chimpanzees can predict the behavior of a conspecific which is holding a mistaken perspective that differs from their own. The subject competed with a conspecific over two food sticks. While the subject could see that both were the same size, to the competitor one appeared bigger than the other. In a previously established game, the competitor chose one stick in private first and the subject chose thereafter, without knowing which of the sticks was gone. Chimpanzees and 6-year-old children chose the 'riskier' stick (that looked bigger to the competitor) significantly less in the game than in a nonsocial control. Children chose randomly in the control, thus showing Level 2 perspective-taking skills; in contrast, chimpanzees had a preference for the 'riskier' stick here, rendering it possible that they attributed their own preference to the competitor to predict her choice. We thus run a follow-up in which chimpanzees did not have a preference in the control. Now, they also chose randomly in the game. We conclude that chimpanzees solved the task by attributing their own preference to the other, while children truly understood the other's mistaken perspective. PMID:26852383

  8. 17 April 2008 - Head of Internal Audit Network meeting visiting the ATLAS experimental area with CERN ATLAS Team Leader P. Fassnacht, ATLAS Technical Coordinator M. Nessi and ATLAS Resources Manager M. Nordberg.

    CERN Multimedia

    Mona Schweizer

    2008-01-01

    17 April 2008 - Head of Internal Audit Network meeting visiting the ATLAS experimental area with CERN ATLAS Team Leader P. Fassnacht, ATLAS Technical Coordinator M. Nessi and ATLAS Resources Manager M. Nordberg.

  9. The ATLAS Forward Calorimeter

    Science.gov (United States)

    Artamonov, A.; Bailey, D.; Belanger, G.; Cadabeschi, M.; Chen, T.-Y.; Epshteyn, V.; Gorbounov, P.; Joo, K. K.; Khakzad, M.; Khovanskiy, V.; Krieger, P.; Loch, P.; Mayer, J.; Neuheimer, E.; Oakham, F. G.; O'Neill, M.; Orr, R. S.; Qi, M.; Rutherfoord, J.; Savine, A.; Schram, M.; Shatalov, P.; Shaver, L.; Shupe, M.; Stairs, G.; Strickland, V.; Tompkins, D.; Tsukerman, I.; Vincent, K.

    2008-02-01

    Forward calorimeters, located near the incident beams, complete the nearly 4π coverage for high pT particles resulting from proton-proton collisions in the ATLAS detector at the Large Hadron Collider at CERN. Both the technology and the deployment of the forward calorimeters in ATLAS are novel. The liquid argon rod/tube electrode structure for the forward calorimeters was invented specifically for applications in high rate environments. The placement of the forward calorimeters adjacent to the other calorimeters relatively close to the interaction point provides several advantages including nearly seamless calorimetry and natural shielding for the muon system. The forward calorimeter performance requirements are driven by events with missing ET and tagging jets.

  10. Teaching atlas of mammography

    International Nuclear Information System (INIS)

    The illustrated case reports in this teaching atlas cover practically the entire range of possible pathological changes and are based on in-patient case material and 80,000 screening documents. The two basic approaches, - detection and analysis of changes -, are taught comprehensively and in great detail. A systematic procedure for analysing the mammographies, in order to detect even the very least changes, and its practical application is explained using mammographies showing unclear findings at first sight. A system of coordinates is presented which allows precise localisation of the changes. Exercises for practising the technique of identifying the pathological changes round up the methodolical chapters. Additional imaging technical enhancements and detail enlargements are of great help in interpreting the findings. The specific approach adopted for this teaching atlas is a 'reverse procedure', which leaves the beaten track and starts with analysing the mammographies and evaluating the radiographic findings, in order to finally derive the diagnosis. (orig./CB)

  11. The ATLAS ROBIN

    Energy Technology Data Exchange (ETDEWEB)

    Cranfield, R; Crone, G [University College London, London (United Kingdom); Francis, D; Gorini, B; Joos, M; Petersen, J; Tremblet, L; Unel, G [CERN, Geneva (Switzerland); Green, B; Misiejuk, A; Strong, J; Teixeira-Dias, P [Royal Holloway University of London, London (United Kingdom); Kieft, G; Vermeulen, J [FOM - Institute SAF and University of Amsterdam/Nikhef, Amsterdam (Netherlands); Kugel, A; Mueller, M; Yu, M [University of Mannheim, Mannheim (Germany); Perera, V; Wickens, F [Rutherford Appleton Laboratory, Didcot (United Kingdom)], E-mail: kugel@ti.uni-mannheim.de

    2008-01-15

    The ATLAS readout subsystem is the main interface between {approx} 1600 detector front-end readout links and the higher-level trigger farms. To handle the high event rate (up to 100 kHz) and bandwidth (up to 160 MB/s per link) the readout PCs are equipped with four ROBIN (readout buffer input) cards. Each ROBIN attaches to three optical links, provides local event buffering for approximately 300 ms and communicates with the higher-level trigger system for data and delete requests. According to the ATLAS baseline architecture this communication runs via the PCI bus of the host PC. In addition, each ROBIN provides a private Gigabit Ethernet port which can be used for the same purpose. Operational monitoring is performed via PCI. This paper presents a summary of the ROBIN hardware and software together with measurements results obtained from various test setups.

  12. Electroweak Physics at ATLAS

    CERN Document Server

    Conti, G; The ATLAS collaboration

    2013-01-01

    Various electroweak measurements have already been performed at the ATLAS experiment since the start of the Large Hadron Collider at CERN. A review of the latest results in $W/Z$ and diboson physics will be given here. The $W/Z$ physics results include the measurement of the high-mass Drell-Yan di-lepton production cross section, the $Wb(b)$ production cross section and the study of the transverse momentum of $Z/\\gamma^*$. The latest $WW$, $WZ$, $ZZ$, $W\\gamma$ and $Z\\gamma$ production cross sections will be summarized, including updated $WW$ and $ZZ$ results. In particular, the $ZZ^*$ channel has been added. The ATLAS diboson results are also used to set limits on charged triple gauge couplings ($WWZ$, $WW\\gamma$) and on neutral triple gauge couplings ($Z\\gamma\\gamma$, $ZZ\\gamma$, $ZZZ$).

  13. ATLAS software packaging

    CERN Document Server

    Rybkin, G

    2012-01-01

    Software packaging is indispensable part of build and prerequisite for deployment processes. Full ATLAS software stack consists of TDAQ, HLT, and Offline software. These software groups depend on some 80 external software packages. We present tools, package PackDist, developed and used to package all this software except for TDAQ project. PackDist is based on and driven by CMT, ATLAS software configuration and build tool, and consists of shell and Python scripts. The packaging unit used is CMT project. Each CMT project is packaged as several packages - platform dependent (one per platform available), source code excluding header files, other platform independent files, documentation, and debug information packages (the last two being built optionally). Packaging can be done recursively to package all the dependencies. The whole set of packages for one software release, distribution kit, also includes configuration packages and contains some 120 packages for one platform. Also packaged are physics analysis pro...

  14. Electron isolation at ATLAS

    International Nuclear Information System (INIS)

    The ATLAS experiment at the Large Hadron Collider (LHC) will face the challenge of efficiently selecting interesting candidate events in pp collisions at 14 TeV centre-of-mass energy, whilst rejecting the enormous number of background events. Many of these interesting candidate events have isolated leptons in the final state, like for example events with a gauge boson or SUSY. On top of the standard ATLAS electron identification an isolation criterion has been developed using a likelihood as multivariate approach with several discriminating variables. The likelihood is constructed by selecting electrons from Z decays for the signal and for the background electrons from b quark jets. Results for the example of the associated Higgs boson production with top quarks and subsequent decay into a pair of W bosons are presented. In addition first results of a likelihood to discriminate against jets are given and a possible extension for muons is discussed

  15. ATLAS-1 Logo

    Science.gov (United States)

    1990-01-01

    The primary payload for the Space Shuttle mission STS-45, launched March 24, 1992, was the Atmospheric Laboratory for Applications and Science-1 (ATLAS-1)which was mounted on nondeployable Spacelab pallets in the orbiter cargo bay. Eight countries, th U.S., France, Germany, Belgium, United Kingdom, Switzerland, The Netherlands, and Japan, provided 12 instruments designed to perform 14 investigations in four fields. Atmospheric science instruments/investigations: Atmospheric Lyman-Alpha Emissions (ALAE); Atmospheric Trace Molecule Spectroscopy (ATMOS); Grille Spectrometer (GRILLE); Imaging Spectrometric Observatory (ISO); Millimeter-Wave Atmospheric Sounder (MAS). Solar Science: Active Cavity Radiometer Irradiance Monitor (ACRIM); Measurement of the Solar Constant (SOLCON); Solar Spectrum from 180 to 3,200 Nanometers (SOLSPEC); Solar Ultraviolet Spectral Irradiance Monitor (SUSIM). Space Plasma Physics: Atmospheric Emissions Photometric Imaging (AEPI); Space Experiments with Particle Accelerators (SEPAC). Ultraviolet astronomy: Far Ultraviolet Space Telescope (FAUST). This is the logo or emblem that was designed to represent the ATLAS-1 payload.

  16. Recent ATLAS Detector Improvements

    CERN Document Server

    de Nooij, L; The ATLAS collaboration

    2011-01-01

    During the recent LHC shutdown period, ATLAS performed vital maintenance and improvements on the various sub-detectors. For the calorimeters, repairs were carried out on front-end electronics and power supplies to recover detector coverage that had been lost since the last maintenance period. The ALFA luminosity detector was installed along the beam line and is currently being commissioned. Smaller scale repairs were needed on the Inner Detector. Maintenance on the muon system included repairs on the readout as well as updates and leak checks in the gas systems. Six TGC chambers were also replaced. This poster summarizes the repairs and their expected improvement for physics performance and reliability of ATLAS for the upcoming LHC run.

  17. ATLAS recognises its best suppliers

    CERN Multimedia

    2002-01-01

    The ATLAS Collaboration has recently rewarded two of its suppliers in the construction of very major detector components, fabricated in Japan. The ATLAS Supplier Award in recognition of excellent supplier performance has just been attributed to Kawasaki Heavy Industries, while Toshiba Corporation received the award two months ago at their headquarters in Japan.

  18. ATLAS: civil engineering Point 1

    CERN Multimedia

    2000-01-01

    The ATLAS experimental area is located in Point 1, just across the main CERN entrance, in the commune of Meyrin. There people are busy to finish the different infrastructures for ATLAS. Real underground video. Nice view from the surface to the cavern from the pit side - all the big machines looked very small. The film has original working sound.

  19. Lowering the first ATLAS toroid

    CERN Multimedia

    Maximilien Brice

    2004-01-01

    The ATLAS detector on the LHC at CERN will consist of eight toroid magnets, the first of which was lowered into the cavern in these images on 26 October 2004. The coils are supported on platforms where they will be attached to form a giant torus. The platforms will hold about 300 tonnes of ATLAS' muon chambers and will envelop the inner detectors.

  20. The ATLAS Forward Physics Program

    OpenAIRE

    Royon, Christophe

    2010-01-01

    We describe the ATLAS Forward Physics Program at low luminosity using the rapidity gap method and a dedicated detector called ALFA to tag the protons. We also describe the physics topics of the ATLAS Forward Physics Project at high instantaneous luminosity.

  1. Experience with multi-threaded C++ applications in the ATLAS DataFlow software

    CERN Document Server

    Gadomski, S; Barisonzi, M; Beck, H P; Beretta, M; Blair, R; Bogaerts, J A C; Boterenbrood, H; Botterill, David R; Ciobotaru, M; Cranfield, R; Crone, G J; Dawson, J; De Matos-Lopes-Pinto, P; Di Girolamo, B; Dobinson, Robert W; Dos Anjos, A; Ermoline,Y; Ferrer, M L; Francis, D; Gameiro, S; Golonka, P; Gorini, B; Green, B; Gruwé, M; Haas, S; Haeberli, C; Hasegawa, Y; Hauser, R; Hinkelbein, C; Hughes-Jones, R E; Jansweijer, P; Joos, M; Kaczmarska, A; Kieft, G; Knezo, E; Korcyl, K; Kugel, M; Lankford, A; Le Vine, M J; Lehmann, G; Liu, W; Losada-Maia, L; MacLaren, R; Maeno, T; Mapelli, L; Martin, B; Meirosu, C; Misiejuk, A; Mommsen, R K; Mornacchi, Giuseppe; Müller, M; Nagasaka, Y; Nakayoshi, K; Palencia-Cortezon, E; Papadopoulos, I M; Petersen, J; Prigent, D; Pérez-Réale, V; Schlereth, J L; Shimojima, M; Spiwoks, R; Stancu, S; Strong, J; Tremblet, L J; Vermeulen, J C; Werner, P; Wickens, F J; Yasu, Y; Yu, M; Zobernig, G; Zurek, M; CHEP 2003 Computing in High Energy Physics

    2003-01-01

    The DataFlow is sub-system of the ATLAS data acquisition responsible for the reception, buffering and subsequent movement of partial and full event data to the higher level triggers: Level 2 and Event Filter. The design of the software is based on OO methodology and its implementation relies heavily on the use of posix threads and the Standard Template Library. This article presents our experience with Linux, posix threads and the Standard Template Library in the real time environment of the ATLAS data flow.

  2. Design of a Hardware Track Finder (Fast Tracker) for the ATLAS Trigger

    CERN Document Server

    Volpi, G; The ATLAS collaboration

    2013-01-01

    The ATLAS Fast TracKer is a custom electronics system that will operate at the full Level-1 accept rate, 100 kHz, to provide high quality tracks as input to the Level-2 trigger. The event reconstruction is performed in hardware, thanks to the massive parallelism of associative memories (AM) and FPGAs. We present the advantages for the physics goals of the ATLAS experiment and the recent results on the design, technological advancements and testing of some of the core components used in the processor.

  3. L'esperimento ATLAS

    CERN Multimedia

    ATLAS Outreach Committee

    2000-01-01

    This award winning film gives a glimpse behind the scenes of building the ATLAS detector. This film asks: Why are so many physicists anxious to build this apparatus? Will they be able to answer fundamental questions such as: Where does mass come from? Why does the Universe have so little antimatter? Are there extra dimensions of space that are hidden from our view? Is there an underlying theory to find? Major surprises are likely in this unknown part of physics.

  4. El experimento ATLAS

    CERN Multimedia

    ATLAS Outreach Committee

    2000-01-01

    This award winning film gives a glimpse behind the scenes of building the ATLAS detector. This film asks: Why are so many physicists anxious to build this apparatus? Will they be able to answer fundamental questions such as: Where does mass come from? Why does the Universe have so little antimatter? Are there extra dimensions of space that are hidden from our view? Is there an underlying theory to find? Major surprises are likely in this unknown part of physics.

  5. The ATLAS Experiment Movie

    CERN Multimedia

    ATLAS Outreach Committee

    2000-01-01

    This award winning film gives a glimpse behind the scenes of building the ATLAS detector. This film asks: Why are so many physicists anxious to build this apparatus? Will they be able to answer fundamental questions such as: Where does mass come from? Why does the Universe have so little antimatter? Are there extra dimensions of space that are hidden from our view? Is there an underlying theory to find? Major surprises are likely in this unknown part of physics.

  6. Higgs results from ATLAS

    CERN Document Server

    Chen, Xin; The ATLAS collaboration

    2015-01-01

    The updated Higgs measurements in various search channels with ATLAS Run 1 data are reviewed. Both the Standard Model (SM) Higgs results, such as $H\\to\\gamma\\gamma,ZZ,WW,\\tau\\tau,\\mu\\mu,b\\bar{b}$, and Beyond Standard Model (BSM) results, such as the charged Higgs, Higgs invisible decay and tensor couplings, are summarized. Prospects for future Higgs searches are briefly discussed.

  7. ATLAS support rails

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    These supports will hold the 7000 tonne ATLAS detector in its cavern at the LHC. The huge toroid will be assembled from eight coils that will house some of the muon chambers. Supported within the toroid will be the inner detector, containing tracking devices, as well as devices to measure the energies of the particles produced in the 14 TeV proton-proton collisions at the LHC.

  8. SUSY Searches in ATLAS

    CERN Document Server

    Zhuang, Xuai; The ATLAS collaboration

    2016-01-01

    Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. This talk summarises recent ATLAS results for searches for supersymmetric (SUSY) particles, with focus on those obtained using proton-proton collisions at a centre of mass energy of 13 TeV using 2015+2016 data. The searches with final states including jets, missing transverse momentum, light leptons will be presented.

  9. SUSY Searches at ATLAS

    CERN Document Server

    Lorenz, Jeanette; The ATLAS collaboration

    2016-01-01

    Analyzing 3.2 fb$^{-1}$ of proton--proton collision data at $\\sqrt{s} = 13$ TeV, delivered by the LHC and recorded by the ATLAS detector in Run 2, various SUSY searches for gluinos, stops and sbottoms were pursued. The analyses focus on simple and robust analyses techniques and are optimized for specific benchmark signatures. Stringent limits significantly superseding the Run 1 limits are obtained.

  10. Atlas of duplex scanning

    International Nuclear Information System (INIS)

    This book presents the first atlas devoted entirely to duplex scanning. It details the uses of this important ''up-and-coming'' diagnostic tool for vascular and general surgeons and radiologists. It also covers scanning of the extremities, as well as the carotoids. The topics also covered are correlative line drawings elaborate and clarify the excellent scan images; the principles of duplex scanning or arteries and veins, techniques, and results; pictures normal anatomy; venous thromboses, arterial occlusion, true and false aneurysms, graft stenoses

  11. ATLAS/CMS Upgrades

    CERN Document Server

    Horii, Yasuyuki; The ATLAS collaboration

    2016-01-01

    Precise Higgs measurements and new physics searches are planned at LHC (HL-LHC) with integrated luminosity of 300 fb^{-1} (3000 fb^{-1}). An increased peak luminosity provides a significant challenge for the experiments. In this presentation, the plans for the ATLAS and CMS upgrades are introduced. Physics prospects for some topics related with ‘flavour’, e.g Higgs couplings, B_{s, d}->mumu, and FCNC top decays, are also shown.

  12. Hybrid Atlas Models

    CERN Document Server

    Ichiba, Tomoyuki; Banner, Adrian; Karatzas, Ioannis; Fernholz, Robert

    2009-01-01

    We study Atlas-type models of equity markets with local characteristics that depend on both name and rank, and in ways that induce a stability of the capital distribution. Ergodic properties and rankings of processes are examined with reference to the theory of reflected Brownian motions in polyhedral domains. In the context of such models, we discuss properties of various investment strategies, including the so-called growth-optimal and universal portfolios.

  13. The Genome Atlas Resource

    OpenAIRE

    Azam Qureshi, Matloob; Rotenberg, Eva; Stærfeldt, Hans Henrik; Hansson, Lena; Ussery, David

    2010-01-01

    Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The r...

  14. Supersymmetry Searches in ATLAS

    CERN Document Server

    Romero Adam, Elena; The ATLAS collaboration

    2015-01-01

    Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. This talk summarises recent ATLAS results for searches for supersymmetric (SUSY) particles. Weak and strong production in both R-Parity conserving and R-Parity violating SUSY scenarios are considered. The searches involved final states including jets, missing transverse momentum, light leptons, taus or photons, as well as long-lived particle signatures.

  15. The atlas detector

    International Nuclear Information System (INIS)

    The ATLAS detector, one of the two multi-purpose detectors at the Large Hadron Collider at CERN, is currently being built in order to meet the first proton-proton collisions in time. A description of the detector components will be given, corresponding to the most up to date design and status of construction, completed with test beam results and performances of the first serial modules. (author)

  16. Mapping CMMI Level 2 to Scrum Practices: An Experience Report

    Science.gov (United States)

    Diaz, Jessica; Garbajosa, Juan; Calvo-Manzano, Jose A.

    CMMI has been adopted advantageously in large companies for improvements in software quality, budget fulfilling, and customer satisfaction. However SPI strategies based on CMMI-DEV require heavy software development processes and large investments in terms of cost and time that medium/small companies do not deal with. The so-called light software development processes, such as Agile Software Development (ASD), deal with these challenges. ASD welcomes changing requirements and stresses the importance of adaptive planning, simplicity and continuous delivery of valuable software by short time-framed iterations. ASD is becoming convenient in a more and more global, and changing software market. It would be greatly useful to be able to introduce agile methods such as Scrum in compliance with CMMI process model. This paper intends to increase the understanding of the relationship between ASD and CMMI-DEV reporting empirical results that confirm theoretical comparisons between ASD practices and CMMI level2.

  17. Age-aware solder performance models : level 2 milestone completion.

    Energy Technology Data Exchange (ETDEWEB)

    Neilsen, Michael K.; Vianco, Paul Thomas; Neidigk, Matthew Aaron; Holm, Elizabeth Ann

    2010-09-01

    Legislated requirements and industry standards are replacing eutectic lead-tin (Pb-Sn) solders with lead-free (Pb-free) solders in future component designs and in replacements and retrofits. Since Pb-free solders have not yet seen service for long periods, their long-term behavior is poorly characterized. Because understanding the reliability of Pb-free solders is critical to supporting the next generation of circuit board designs, it is imperative that we develop, validate and exercise a solder lifetime model that can capture the thermomechanical response of Pb-free solder joints in stockpile components. To this end, an ASC Level 2 milestone was identified for fiscal year 2010: Milestone 3605: Utilize experimentally validated constitutive model for lead-free solder to simulate aging and reliability of solder joints in stockpile components. This report documents the completion of this milestone, including evidence that the milestone completion criteria were met and a summary of the milestone Program Review.

  18. Hinode SOT Images Coaligned with IRIS Level 2 Data Products

    Science.gov (United States)

    Tarbell, Theodore D.

    2016-05-01

    We have produced new data products consisting of HInode SOT images coaligned with simultaneous observations by IRIS. Cross-correlation between SOT Filtergraph images and similar SDO wavelength bands provides accurate pointing coordinates for nearly all SOT images, correcting for the solar flows followed by the SOT correlation tracker. Data from all of 2014 and 2015 and part of 2013 have been processed by now and verification of the data products is ongoing. The cubes of SOT images are created in IRIS level 2 data format and can be read using IRIS software tools. In addition, the SOT cubes can be studied using CRISPEX along with the corresponding IRIS Level 3 data. Work has begun to process time series of SOT Spectro-Polarimeter data into cubes of images that can be studied the same way. Examples of some datasets from IHOPs, both FG and SP, will be shown and instructions given for accessing and viewing the available datasets.

  19. ATLAS Job Transforms

    CERN Document Server

    Stewart, G A; The ATLAS collaboration; Maddocks, H J; Harenberg, T; Sandhoff, M; Sarrazin, B

    2013-01-01

    The need to run complex workflows for a high energy physics experiment such as ATLAS has always been present. However, as computing resources have become even more constrained, compared to the wealth of data generated by the LHC, the need to use resources efficiently and manage complex workflows within a single grid job have increased. In ATLAS, a new Job Transform framework has been developed that we describe in this paper. This framework manages the multiple execution steps needed to 'transform' one data type into another (e.g., RAW data to ESD to AOD to final ntuple) and also provides a consistent interface for the ATLAS production system. The new framework uses a data driven workflow definition which is both easy to manage and powerful. After a transform is defined, jobs are expressed simply by specifying the input data and the desired output data. The transform infrastructure then executes only the necessary substeps to produce the final data products. The global execution cost of running the job is mini...

  20. ATLAS Job Transforms

    CERN Document Server

    Stewart, G A; The ATLAS collaboration; Maddocks, H J; Harenberg, T; Sandhoff, M; Sarrazin, B

    2013-01-01

    The need to run complex workflows for a high energy physics experiment such as ATLAS has always been present. However, as computing resources have become even more constrained, compared to the wealth of data generated by the LHC, the need to use resources efficiently and manage complex workflows within a single grid job have increased. In ATLAS, a new Job Transform framework has been developed that we describe in this paper. This framework manages the multiple execution steps needed to `transform' one data type into another (e.g., RAW data to ESD to AOD to final ntuple) and also provides a consistent interface for the ATLAS production system. The new framework uses a data driven workflow definition which is both easy to manage and powerful. After a transform is defined, jobs are expressed simply by specifying the input data and the desired output data. The transform infrastructure then executes only the necessary substeps to produce the final data products. The global execution cost of running the job is mini...

  1. ATLAS overview week highlights

    CERN Multimedia

    D. Froidevaux

    2005-01-01

    A warm and early October afternoon saw the beginning of the 2005 ATLAS overview week, which took place Rue de La Montagne Sainte-Geneviève in the heart of the Quartier Latin in Paris. All visitors had been warned many times by the ATLAS management and the organisers that the premises would be the subject of strict security clearance because of the "plan Vigipirate", which remains at some level of alert in all public buildings across France. The public building in question is now part of the Ministère de La Recherche, but used to host one of the so-called French "Grandes Ecoles", called l'Ecole Polytechnique (in France there is only one Ecole Polytechnique, whereas there are two in Switzerland) until the end of the seventies, a little while after it opened its doors also to women. In fact, the setting chosen for this ATLAS overview week by our hosts from LPNHE Paris has turned out to be ideal and the security was never an ordeal. For those seeing Paris for the first time, there we...

  2. Clean tracks for ATLAS

    CERN Multimedia

    2006-01-01

    First cosmic ray tracks in the integrated ATLAS barrel SCT and TRT tracking detectors. A snap-shot of a cosmic ray event seen in the different layers of both the SCT and TRT detectors. The ATLAS Inner Detector Integration Team celebrated a major success recently, when clean tracks of cosmic rays were detected in the completed semiconductor tracker (SCT) and transition radiation tracker (TRT) barrels. These tracking tests come just months after the successful insertion of the SCT into the TRT (See Bulletin 09/2006). The cosmic ray test is important for the experiment because, after 15 years of hard work, it is the last test performed on the fully assembled barrel before lowering it into the ATLAS cavern. The two trackers work together to provide millions of channels so that particles' tracks can be identified and measured with great accuracy. According to the team, the preliminary results were very encouraging. After first checks of noise levels in the final detectors, a critical goal was to study their re...

  3. Exploring NASA OMI Level 2 Data With Visualization

    Science.gov (United States)

    Wei, Jennifer; Yang, Wenli; Johnson, James; Zhao, Peisheng; Gerasimov, Irina; Pham, Long; Vicente, Gilberto

    2014-01-01

    Satellite data products are important for a wide variety of applications that can bring far-reaching benefits to the science community and the broader society. These benefits can best be achieved if the satellite data are well utilized and interpreted, such as model inputs from satellite, or extreme events (such as volcano eruptions, dust storms,... etc.). Unfortunately, this is not always the case, despite the abundance and relative maturity of numerous satellite data products provided by NASA and other organizations. Such obstacles may be avoided by allowing users to visualize satellite data as "images", with accurate pixel-level (Level-2) information, including pixel coverage area delineation and science team recommended quality screening for individual geophysical parameters. We present a prototype service from the Goddard Earth Sciences Data and Information Services Center (GES DISC) supporting Aura OMI Level-2 Data with GIS-like capabilities. Functionality includes selecting data sources (e.g., multiple parameters under the same scene, like NO2 and SO2, or the same parameter with different aggregation methods, like NO2 in OMNO2G and OMNO2D products), user-defined area-of-interest and temporal extents, zooming, panning, overlaying, sliding, and data subsetting, reformatting, and reprojection. The system will allow any user-defined portal interface (front-end) to connect to our backend server with OGC standard-compliant Web Mapping Service (WMS) and Web Coverage Service (WCS) calls. This back-end service should greatly enhance its expandability to integrate additional outside data/map sources.

  4. ATLAS DQ2 DELETION SERVICE

    CERN Document Server

    Oleynik, D; The ATLAS collaboration; Garonne, V; Campana, S

    2012-01-01

    ATLAS DQ2 Deletion service is a sub system of the ATLAS Distributed Data Management (DDM) project DQ2. DDM DQ2 responsible for the replication, access and bookkeeping of ATLAS data across more than 130 distributed grid sites. It also enforces data management policies decided on by the collaboration and defined in the ATLAS computing model. Responsibility of ATLAS DQ2 Deletion service is serving deletion requests on the grid by interacting with grid middleware and the DQ2 catalogues. Furthermore, it also takes care of retry strategies, check-pointing transactions, load management and fault tolerance. In this talk special attention is paid to the technical details, which are used to achieve the high performance of service, accomplished without overloading either site storage, catalogues or other DQ2 components. Also specialty of database backend implementation will be described. Special section will be devote to the deletion monitoring service that allows operators a detailed view of the working system.

  5. ATLAS Award for Difficult Task

    CERN Multimedia

    2004-01-01

    Two Russian companies were honoured with an ATLAS Award, for supply of the ATLAS Inner Detector barrel support structure elements, last week. On 23 March the Russian company ORPE Technologiya and its subcontractor, RSP Khrunitchev, were jointly presented with an ATLAS Supplier Award. Since 1998, ORPE Technologiya has been actively involved in the development of the carbon-fibre reinforced plastic elements of the ATLAS Inner Detector barrel support structure. After three years of joint research and development, CERN and ORPE Technologiya launched the manufacturing contract. It had a tight delivery schedule and very demanding specifications in terms of mechanical tolerance and stability. The contract was successfully completed with the arrival of the last element of the structure at CERN on 8 January 2004. The delivery of this key component of the Inner Detector deserves an ATLAS Award given the difficulty of manufacturing the end-frames, which very few companies in the world would have been able to do at an ...

  6. ATLAS barrel hadron calorimeter. JINR - group activity (July - September 1995)

    International Nuclear Information System (INIS)

    Here we present a short report on the main results of the preparatory work for 0-module, to be manufactured at JINR. The reported period covers July - September 1995 JINR-group activity and includes the main topics considered by TILE-CAL community at September 1995 meeting at CERN. Many of JINR developed propositions have been included in 0-module production final technology. 2 refs., 1 tab

  7. Benchmark exercise on expert judgment techniques in PSA Level 2

    International Nuclear Information System (INIS)

    This article summarizes objectives and aims of the concerted action 'Benchmark Exercise on Expert Judgment Techniques in PSA Level 2' and the results obtained within the project. The project was organized in three phases, namely a survey phase (pre-phase), a first phase devoted to parameter estimation assessment and a second phase devoted to benchmarking expert judgment methods on a scenario development case. The paper is focused on the first phase and on the results obtained by the application of five structured Expert Judgment (EJ) methodologies to the problem at hand. The results of the comparison of EJ methodologies are also provided; they are based on the use of some metrics suitably designed during the project. The context of Phase 2 and the issue to be tackled in this phase are briefly described; since this phase has been carried out only at a preliminary level (mainly after the end of the project), the results obtained are not reported here in detail but are only briefly commented on

  8. ATLAS status and physics program

    International Nuclear Information System (INIS)

    Full text: The ATLAS detector will observe proton collisions in the Large Hadron Collider (LHC) at CERN, which is scheduled for commissioning in 2007. When operational the LHC will collide protons at a centre-of-mass energy of 14 TeV with nominally 2 X 108 collisions per second at each of four beam-crossing points. ATLAS has been optimised for the detection of the hypothesised Higgs Boson, the only missing component of the otherwise experimentally well-verified electro-weak theory. In addition ATLAS is also sensitive to many other physics processes including QCD, b-physics, heavy ion interactions and those that could provide first evidence for super-symmetry. The current status of the LHC and the various aspects of the ATLAS detector will be discussed as well as the ability of ATLAS to observe new physics. The Australian contributions to the ATLAS project will also be described. These include: 1. Development and implementation of components of the Semi-Conductor Tracker (SCT), which provides spatial information for charged particles traversing the ATLAS inner detector. 2. Fast algorithms for simulating electromagnetic events in the calorimeter. 3. Development and application of fast reconstruction algorithms within the ATLAS software framework. 4. Analysis of Monte-Carlo data produced using simulated models of the ATLAS detector. The information provided will determine the most efficient strategies in searching for new physics once collisions at the LHC commence. 5. Advances in grid computing to handle the storage, transfer and offline processing of data amassed by LHC experiments, which totals over 2.4 P-bytes per annum. Copyright (2005) Australian Institute of Physics

  9. The ATLAS Muon Trigger - Experience and Performance in the first 3 years of LHC pp runs

    CERN Document Server

    Ventura, A; The ATLAS collaboration

    2013-01-01

    The ATLAS experiment at CERN's Large Hadron Collider (LHC) deploys three-levels processing scheme for the trigger system. The level-1 muon trigger system gets its input from fast muon trigger detectors. Fast sector logic boards select muon candidates, which are passed via an interface board to the central trigger processor and then to the High Level Trigger (HLT). The muon HLT is purely software based and encompasses a level-2 trigger followed by an event filter for a staged trigger approach. It has access to the data of the precision muon detectors and other detector elements to refine the muon hypothesis. The ATLAS experiment has taken data with high efficiency continuously over entire running periods form 2010 to 2012, for which sophisticated triggers to guard the highest physics output while reducing effectively the event rate were mandatory. The ATLAS Muon trigger has successfully adapted to this changing environment. The selection strategy has been optimized for the various physics analysis involving mu...

  10. Atlas C++ Coding Standard Specification

    CERN Document Server

    Albrand, S; Barberis, D; Bosman, M; Jones, B; Stavrianakou, M; Arnault, C; Candlin, D; Candlin, R; Franck, E; Hansl-Kozanecka, Traudl; Malon, D; Qian, S; Quarrie, D; Schaffer, R D

    2001-01-01

    This document defines the ATLAS C++ coding standard, that should be adhered to when writing C++ code. It has been adapted from the original "PST Coding Standard" document (http://pst.cern.ch/HandBookWorkBook/Handbook/Programming/programming.html) CERN-UCO/1999/207. The "ATLAS standard" comprises modifications, further justification and examples for some of the rules in the original PST document. All changes were discussed in the ATLAS Offline Software Quality Control Group and feedback from the collaboration was taken into account in the "current" version.

  11. European Atlas of Soil Biodiversity

    DEFF Research Database (Denmark)

    Krogh (contributor), Paul Henning

    and climate change? The first ever European Atlas of Soil Biodiversity uses informative texts, stunning photographs and maps to answer these questions and other issues. The European Atlas of Soil Biodiversity functions as a comprehensive guide allowing non-specialists to access information about this unseen...... Biodiversity'. Starting with the smallest organisms such as the bacteria, this segment works through a range of taxonomic groups such as fungi, nematodes, insects and macro-fauna to illustrate the astonishing levels of heterogeneity of life in soil. The European Atlas of Soil Biodiversity is more than just...

  12. Electrons and Photons at ATLAS

    CERN Document Server

    Heim, Sarah; The ATLAS collaboration

    2016-01-01

    The performance of the reconstruction, calibration and identification of electrons and photons with the ATLAS detector at the LHC is a key component to realize the ATLAS full physics potential, both in the searches for new physics and in precision measurements. The algorithms used for the reconstruction and identification of electrons and photons with the ATLAS detector during LHC run 2 are presented. Measurements of the identification efficiencies are derived from data. The results from the 2015 pp collision data set at sqrt(s)=13 TeV are reported. The electron and photon energy calibration procedure and its performance are also discussed.

  13. ATLAS software packaging

    Science.gov (United States)

    Rybkin, Grigory

    2012-12-01

    Software packaging is indispensable part of build and prerequisite for deployment processes. Full ATLAS software stack consists of TDAQ, HLT, and Offline software. These software groups depend on some 80 external software packages. We present tools, package PackDist, developed and used to package all this software except for TDAQ project. PackDist is based on and driven by CMT, ATLAS software configuration and build tool, and consists of shell and Python scripts. The packaging unit used is CMT project. Each CMT project is packaged as several packages—platform dependent (one per platform available), source code excluding header files, other platform independent files, documentation, and debug information packages (the last two being built optionally). Packaging can be done recursively to package all the dependencies. The whole set of packages for one software release, distribution kit, also includes configuration packages and contains some 120 packages for one platform. Also packaged are physics analysis projects (currently 6) used by particular physics groups on top of the full release. The tools provide an installation test for the full distribution kit. Packaging is done in two formats for use with the Pacman and RPM package managers. The tools are functional on the platforms supported by ATLAS—GNU/Linux and Mac OS X. The packaged software is used for software deployment on all ATLAS computing resources from the detector and trigger computing farms, collaboration laboratories computing centres, grid sites, to physicist laptops, and CERN VMFS and covers the use cases of running all applications as well as of software development.

  14. ATLAS software packaging

    International Nuclear Information System (INIS)

    Software packaging is indispensable part of build and prerequisite for deployment processes. Full ATLAS software stack consists of TDAQ, HLT, and Offline software. These software groups depend on some 80 external software packages. We present tools, package PackDist, developed and used to package all this software except for TDAQ project. PackDist is based on and driven by CMT, ATLAS software configuration and build tool, and consists of shell and Python scripts. The packaging unit used is CMT project. Each CMT project is packaged as several packages—platform dependent (one per platform available), source code excluding header files, other platform independent files, documentation, and debug information packages (the last two being built optionally). Packaging can be done recursively to package all the dependencies. The whole set of packages for one software release, distribution kit, also includes configuration packages and contains some 120 packages for one platform. Also packaged are physics analysis projects (currently 6) used by particular physics groups on top of the full release. The tools provide an installation test for the full distribution kit. Packaging is done in two formats for use with the Pacman and RPM package managers. The tools are functional on the platforms supported by ATLAS—GNU/Linux and Mac OS X. The packaged software is used for software deployment on all ATLAS computing resources from the detector and trigger computing farms, collaboration laboratories computing centres, grid sites, to physicist laptops, and CERN VMFS and covers the use cases of running all applications as well as of software development.

  15. ATLAS TV PROJECT

    CERN Multimedia

    OMNI communication

    2005-01-01

    CPPM Laboratory Marseille Starting with the Workshop- adding modules to the strip 00:09:19 Exterior-entering the lab site by car, Sascha Rosanov and a PR lady walking, Lab sign on building -Physique des Particules de Marseille 00:20:00 Interviews of the ATLAS pixel work for bio-mediacal research 00:34:00 Interview of Roy Aleksov, Head of CPPM Laboratory, Working in international team, working with CERN and GRID The rest of the film inclusdes lab testingand some exterior shots.

  16. Supersymmetry Searches with ATLAS

    CERN Document Server

    Hill, Ewan; The ATLAS collaboration

    2015-01-01

    Supersymmetry is one of the best motivated and studied theories of physics beyond the Standard Model. This document summarises recent ATLAS results of searches for supersymmetric particles using LHC proton--proton collision data at $\\sqrt{s} = 7$ and 8 TeV. Weak and strong production Supersymmetry scenarios are considered, with particular attention to direct production of third generation supersymmetric particles. The searches involve final states including jets, missing transverse momentum, leptons, and long-lived particles. Sensitivity projections for the $\\sqrt{s} = 13$ TeV data are also presented.

  17. ATLAS TV PROJECT

    CERN Document Server

    2005-01-01

    Budker Nuclear Physics Institute, Novosibirsk Sequence 1 Reception for Markus Nordberg and Andrew Millington by about 20 physicists from the Budker Nuclear Physics Institute Host: Yuri Tikhonov Various short talks and exchanges, with coffee Sequence 2 Visit to BINP Facilities Tikhonov and Nordberg walking and talking Visit to electron accelerator, old solar detector Sequence 3 Visit to BNIP workshops Work on big wheel segments shots over-exposed Work on Atlas coils LHC Magnets Men playing chess, exterior shots of Tikhonov, Nordberg arriving Sequence 4 Shots from car of journey from workshop to main BNIP building.

  18. Atlas of liver imaging

    International Nuclear Information System (INIS)

    This atlas is an outcome of an IAEA co-ordinated research programme. In addition to Japan, nine other Asian countries participated in the project and 293 liver scintigrams (116 from Japanese institutions and 177 from seven Asian countries) were evaluated by physicians from the participating Asian countries. The computer analysis of the scan findings of the individual physicians was carried out and individual scores have been separately tabulated for: (a) scan abnormality; (b) space occupying lesions; (c) cirrhosis and (d) diffuse liver diseases like hepatitis. Refs, figs and tabs

  19. Supersymmetry searches in ATLAS

    CERN Document Server

    Kuwertz, Emma Sian; The ATLAS collaboration

    2015-01-01

    Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. This talk summarises recent ATLAS results for searches for supersymmetric (SUSY) particles. Weak and strong production in both R-Parity conserving and R-Parity violating SUSY scenarios are considered. The searches involved final states including jets, including those those tagged as originating from b-quark decays, missing transverse momentum, light leptons, taus or photons, as well as long-lived particle signatures. An overview of the constraints on supersymmetry from the run1 results is presented, as well as sensitivity projections for the data that will be collected in 2015.

  20. The ATLAS Simulation Software

    International Nuclear Information System (INIS)

    We present the status of the ATLAS Simulation Project. Recent detector description improvements have focussed on commissioning layouts, implementation of inert material, and comparisons to the as-built detector. Core Simulation is reviewed with a focus on parameter optimizations, physics list choices, visualization, large-scale production, and validation. A fast simulation is also briefly described, and its performance is evaluated with respect to the full Simulation. Digitization, the last step of the Monte Carlo chain, is described, including developments in pile up and data overlay.

  1. QCD Measurements at ATLAS

    CERN Document Server

    Hubacek, Zdenek; The ATLAS collaboration

    2016-01-01

    This paper presents recent QCD related measurements from the ATLAS Experiment at the LHC at CERN. The results on the total inelastic cross- section, charged particle production, jet production, photon production, and W-, Z-bosons productions are briefly summarized. The measurments are performed at different center-of-mass energies sqrt(s) = 7, 8, and 13 TeV. The measured cross-sections are generally found to be in agreement with the expectations from the Standard Model within the estimated uncertainties.

  2. ATLAS Exotic Searches

    Directory of Open Access Journals (Sweden)

    Bousson Nicolas

    2012-06-01

    Full Text Available Thanks to the outstanding performance of the Large Hadron Collider (LHC that delivered more than 2 fb−1 of proton-proton collision data at center-of-mass energy of 7 TeV, the ATLAS experiment has been able to explore a wide range of exotic models trying to address the questions unanswered by the Standard Model of particle physics. Searches for leptoquarks, new heavy quarks, vector-like quarks, black holes, hidden valley and contact interactions are reviewed in these proceedings.

  3. ATLAS Exotic Searches

    CERN Document Server

    Bousson, Nicolas

    2012-01-01

    Thanks to the outstanding performance of the Large Hadron Collider (LHC) that delivered more than 2 fb^-1 of proton-proton collision data at center-of-mass energy of 7 TeV, the ATLAS experiment has been able to explore a wide range of exotic models trying to address the questions unanswered by the Standard Model of particle physics. Searches for leptoquarks, new heavy quarks, vector-like quarks, black holes, hidden valley and contact interactions are reviewed in these proceedings.

  4. Top Physics at ATLAS

    OpenAIRE

    Barisonzi, Marcello

    2005-01-01

    The Large Hadron Collider LHC is a top quark factory: due to its high design luminosity, LHC will produce about 200 millions of top quarks per year of operation. The large amount of data will allow to study with great precision the properties of the top quark, most notably cross-section, mass and spin. The Top Physics Working Group has been set up at the ATLAS experiment, to evaluate the precision reach of physics measurements in the top sector, and to study the systematic effects of the ATLA...

  5. Supersymmetry searches in ATLAS

    CERN Document Server

    Meloni, Federico; The ATLAS collaboration

    2015-01-01

    This document summarises recent ATLAS results for searches for supersymmetric particles using LHC proton-proton collision data. Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. We consider both R-Parity conserving and R-Parity violating SUSY scenarios. The searches involve final states including jets, missing transverse momentum, light leptons, taus or photons, as well as long-lived particle signatures. Sensitivity projections for the data that will be collected in 2015 are also presented.

  6. Supersymmetry searches in ATLAS

    CERN Document Server

    Meloni, Federico; The ATLAS collaboration

    2015-01-01

    Despite the absence of experimental evidence, weak scale supersymmetry remains one of the best motivated and studied Standard Model extensions. This talk summarises recent ATLAS results for searches for supersymmetric (SUSY) particles. Weak and strong production in both R-Parity conserving and R-Parity violating SUSY scenarios are considered. The searches involved final states including jets, missing transverse momentum, light leptons, taus or photons, as well as long-lived particle signatures. Sensitivity projections for the data that will be collected in 2015 are also presented.

  7. Quarkonium production at ATLAS

    CERN Document Server

    Price, D; The ATLAS collaboration

    2011-01-01

    The production of quarkonium is an important testing ground for QCD calculations. The J/psi and Upsilon production cross-sections are measured in proton-proton collisions at a centre-of-mass energy of 7 TeV with the ATLAS detector at the LHC. Differential cross-sections as a function of transverse momentum and rapidity are presented. The fraction of J/psi produced in B-hadron decays is also measured and the differential production cross-sections of prompt and non-prompt J/psi production determined separately. Results are compared to recent predictions from perturbative QCD calculations.

  8. Dark Matter in ATLAS

    CERN Document Server

    Resconi, Silvia; The ATLAS collaboration

    2016-01-01

    Results of Dark Matter searches in mono-X analysis with the ATLAS experiment at the Large Hadron Collider are reported. The data were collected in proton–proton collisions at a centre-of-mass energy of 13 TeV and correspond to an integrated luminosity of 3.2 fb-1. A description of the main characteristics of each analysis and how the main backgrounds are estimated is shown. The observed data are in agreement with the expected Standard Model backgrounds for all analysis described. Exclusion limits are presented for Dark Matter models including pair production of dark matter candidates.

  9. Dark Matter in ATLAS

    CERN Document Server

    Resconi, Silvia; The ATLAS collaboration

    2016-01-01

    An overview of Dark Matter searches with the ATLAS experiment at the Large Hadron Collider (LHC) is shown. Results of Mono-X analyses requiring large missing transverse momentum and a recoiling detectable physics object (X) are reported. The data were collected in proton-proton collisions at a centre-of-mass energy of 13 TeV. The observed data are in agreement with the expected Standard Model backgrounds for all analyses described. Exclusion limits are presented for Dark Matter models including pair production of Dark Matter candidates.

  10. Exotics searches in ATLAS

    CERN Document Server

    Vranjes, N; The ATLAS collaboration

    2016-01-01

    We report on the latest searches for (non-SUSY) Beyond Standard Model phenomena performed with the ATLAS detector. The searches have been performed with the data from proton-proton collisions at a centre-of-mass energy of 7 TeV collected in 2010 and 2011. Various experimental signatures have been studied involving reconstruction and measurement of leptons, photons, jets, missing transverse energy, as well as reconstruction of top quarks. For most of the signatures, the experimental reach is significantly increased with respect to previous results.

  11. The Genome Atlas Resource

    DEFF Research Database (Denmark)

    Azam Qureshi, Matloob; Rotenberg, Eva; Stærfeldt, Hans Henrik;

    2010-01-01

    Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together...... with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User...

  12. CERN Open Days 2013, Point 1 - ATLAS: ATLAS Experiment

    CERN Multimedia

    CERN Photolab

    2013-01-01

    Stand description: The ATLAS Experiment at CERN is one of the largest and most complex scientific endeavours ever assembled. The detector, located at collision point 1 of the LHC, is designed to explore the fundamental components of nature and to study the forces that shape our universe. The past year’s discovery of a Higgs boson is one of the most important scientific achievements of our time, yet this is only one of many key goals of ATLAS. During a brief break in their journey, some of the 3000-member ATLAS collaboration will be taking time to share the excitement of this exploration with you. On surface no restricted access  The exhibit at Point 1 will give visitors a chance to meet these modern-day explorers and to learn from them how answers to the most fundamental questions of mankind are being sought. Activities will include a visit to the ATLAS detector, located 80m below ground; watching the prize-winning ATLAS movie in the ATLAS cinema; seeing real particle tracks in a cloud chamber and discussi...

  13. Muon Event Filter Software for the ATLAS Experiment at LHC

    CERN Document Server

    Biglietti, M; Assamagan, Ketevi A; Baines, J T M; Bee, C P; Bellomo, M; Bogaerts, J A C; Boisvert, V; Bosman, M; Caron, B; Casado, M P; Cataldi, G; Cavalli, D; Cervetto, M; Comune, G; Conde, P; Conde-Muíño, P; De Santo, A; De Seixas, J M; Di Mattia, A; Dos Anjos, A; Dosil, M; Díaz-Gómez, M; Ellis, Nick; Emeliyanov, D; Epp, B; Falciano, S; Farilla, A; George, S; Ghete, V M; González, S; Grothe, M; Kabana, S; Khomich, A; Kilvington, G; Konstantinidis, N P; Kootz, A; Lowe, A; Luminari, L; Maeno, T; Masik, J; Meessen, C; Mello, A G; Merino, G; Moore, R; Morettini, P; Negri, A; Nikitin, N V; Nisati, A; Padilla, C; Panikashvili, N; Parodi, F; Pinfold, J L; Pinto, P; Primavera, M; Pérez-Réale, V; Qian, Z; Resconi, S; Rosati, S; Santamarina-Rios, C; Scannicchio, D A; Schiavi, C; Segura, E; Sivoklokov, S Yu; Soluk, R A; Stefanidis, E; Sushkov, S; Sutton, M; Sánchez, C; Tapprogge, Stefan; Thomas, E; Touchard, F; Venda-Pinto, B; Ventura, A; Vercesi, V; Werner, P; Wheeler, S; Wickens, F J; Wiedenmann, W; Wielers, M; Zobernig, G; Computing In High Energy Physics

    2005-01-01

    At LHC the 40 MHz bunch crossing rate dictates a high selectivity of the ATLAS Trigger system, which has to keep the full physics potential of the experiment in spite of a limited storage capability. The level-1 trigger, implemented in a custom hardware, will reduce the initial rate to 75 kHz and is followed by the software based level-2 and Event Filter, usually referred as High Level Triggers (HLT), which further reduce the rate to about 100 Hz. In this paper an overview of the implementation of the offline muon recostruction algortihms MOORE (Muon Object Oriented REconstruction) and MuId (Muon Identification) as Event Filter in the ATLAS online framework is given. The MOORE algorithm performs the reconstruction inside the Muon Spectrometer providing a precise measurement of the muon track parameters outside the calorimeters; MuId combines the measurements of all ATLAS sub-detectors in order to identify muons and provides the best estimate of their momentum at the production vertex. In the HLT implementatio...

  14. The ATLAS Level-1 Central Trigger System in operation

    Science.gov (United States)

    Pauly, Thilo; ATLAS Collaboration

    2010-04-01

    The ATLAS Level-1 Central Trigger (L1CT) system is a central part of ATLAS data-taking. It receives the 40 MHz bunch clock from the LHC machine and distributes it to all sub-detectors. It initiates the detector read-out by forming the Level-1 Accept decision, which is based on information from the calorimeter and muon trigger processors, plus a variety of additional trigger inputs from detectors in the forward regions. The L1CT also provides trigger-summary information to the data acquisition and the Level-2 trigger systems for use in higher levels of the selection process, in offline analysis, and for monitoring. In this paper we give an overview of the operational framework of the L1CT with particular emphasis on cross-system aspects. The software framework allows a consistent configuration with respect to the LHC machine, upstream and downstream trigger processors, and the data acquisition. Trigger and dead-time rates are monitored coherently on all stages of processing and are logged by the online computing system for physics analysis, data quality assurance and operational debugging. In addition, the synchronisation of trigger inputs is watched based on bunch-by-bunch trigger information. Several software tools allow to efficiently display the relevant information in the control room in a way useful for shifters and experts. We present the overall performance during cosmic-ray data taking with the full ATLAS detector and the experience with first beam in the LHC.

  15. The ATLAS Level-1 Central Trigger System in operation

    International Nuclear Information System (INIS)

    The ATLAS Level-1 Central Trigger (L1CT) system is a central part of ATLAS data-taking. It receives the 40 MHz bunch clock from the LHC machine and distributes it to all sub-detectors. It initiates the detector read-out by forming the Level-1 Accept decision, which is based on information from the calorimeter and muon trigger processors, plus a variety of additional trigger inputs from detectors in the forward regions. The L1CT also provides trigger-summary information to the data acquisition and the Level-2 trigger systems for use in higher levels of the selection process, in offline analysis, and for monitoring. In this paper we give an overview of the operational framework of the L1CT with particular emphasis on cross-system aspects. The software framework allows a consistent configuration with respect to the LHC machine, upstream and downstream trigger processors, and the data acquisition. Trigger and dead-time rates are monitored coherently on all stages of processing and are logged by the online computing system for physics analysis, data quality assurance and operational debugging. In addition, the synchronisation of trigger inputs is watched based on bunch-by-bunch trigger information. Several software tools allow to efficiently display the relevant information in the control room in a way useful for shifters and experts. We present the overall performance during cosmic-ray data taking with the full ATLAS detector and the experience with first beam in the LHC.

  16. Regulatory review of probabilistic safety assessment (PSA) Level 2

    International Nuclear Information System (INIS)

    Probabilistic safety assessment (PSA) is increasingly being used as part of the decision making process to assess the level of safety of nuclear power plants. The methodologies in use are maturing and the insights gained from the PSAs are being used along with those from deterministic analysis. Many regulatory authorities consider the current state of the art in PSA to be sufficiently well developed for results to be used centrally in the regulatory decision making process-referred to as risk informed regulation. For these applications to be successful, it will be necessary for the regulatory authority to have a high degree of confidence in the PSA. However, at the 1994 IAEA Technical Committee Meeting on Use of PSA in the Regulatory Process and at the OECD Nuclear Energy Agency Committee for Nuclear Regulatory Activities (CNRA) 'Special Issues' meeting in 1997 on Review Procedures and Criteria for Different Regulatory Applications of PSA, it was recognized that formal regulatory review guidance for PSA did not exist. The senior regulators noted that there was a need to produce some international guidance for reviewing PSAs to establish an agreed basis for assessing whether important technological and methodological issues in PSAs are treated adequately and to verify that conclusions reached are appropriate. In 1997, the IAEA and OECD Nuclear Energy Agency agreed to produce, in cooperation, guidance on Regulatory Review of PSA. This led to the publication of IAEA-TECDOC-1135 on the Regulatory Review of Probabilistic Safety Assessment (PSA) Level 1, which gives advice for the review of Level 1 PSA for initiating events occurring at power plants. This TECDOC extends the coverage to address the regulatory review of Level 2 PSA.These publications are intended to provide guidance to regulatory authorities on how to review the PSA for a nuclear power plant to gain confidence that it has been carried out to an acceptable level of quality so that it can be used as the

  17. World Ocean Atlas 2005, Temperature

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — World Ocean Atlas 2005 (WOA05) is a set of objectively analyzed (1° grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen...

  18. ATLAS recognises its best suppliers

    CERN Multimedia

    Jenni, P

    The ATLAS Collaboration has recently rewarded two of its suppliers in the construction of very major detector components, fabricated in Japan. The ATLAS Supplier Award in recognition of excellent supplier performance was attributed on 2nd September 2002 during a ceremony in Hall 180 to Kawasaki Heavy Industries, while Toshiba Corporation received the award two months before at their headquarters in Japan. The ATLAS experiment will become a reality thanks to a large international collaboration partnership. The industrial suppliers for the components all over the world play a major role in the construction of this gigantic jigsaw for the LHC. And sometimes they perform so well, that their work deserves specially to be recognised. This is the case for Kawasaki Heavy Industries and Toshiba Corporation, producers of the Liquid Argon Barrel Cryostat and of the Superconducting Central Solenoid, respectively. With these awards, the ATLAS Collaboration wants to congratulate Kawasaki and Toshiba for fulfilling the hi...

  19. World Ocean Atlas 2005, Salinity

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — World Ocean Atlas 2005 (WOA05) is a set of objectively analyzed (1° grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen...

  20. ATLAS online data quality monitoring

    CERN Document Server

    Cuenca Almenar, C; The ATLAS collaboration; Hadavand, H; Ilchenko, Y; Kolos, S; Slagle, K; Taffard, A

    2010-01-01

    Every minute the ATLAS detector is taking data, the monitoring framework serves several thousands physics events to monitoring data analysis applications, handles millions of histogram updates coming from thousands applications, executes over forty thousand advanced data quality checks for a subset of those histograms, displays histograms and results of these checks on several dozens of monitors installed in main and satellite ATLAS control rooms. The online data quality monitoring system has been of great help in providing quick feedback to the subsystems about the functioning and performance of the different parts of ATLAS by providing a configurable easy and fast visualization of all this information. The Data Quality Monitoring Display (DQMD) is a visualization tool for the automatic data quality assessment of the ATLAS experiment. It is the interface through which the shift crew and experts can validate the quality of the data being recorded or processed, be warned of problems related to data quality, an...

  1. Lyon - Atlas topographique Lyon antique

    OpenAIRE

    LENOBLE, Michel

    2015-01-01

    Code INSEE de la commune : 69123Lien Atlas (MCC) :http://atlas.patrimoines.culture.fr/atlas/trunk/index.php?ap_theme=DOM_2.01.02&ap_bbox=4.772;45.707;4.899;45.808 Le programme collectif de recherche « Atlas topographique de Lyon antique » a atteint fin 2013 sa treizième année de fonctionnement. Rattaché à l’UMR 5138 (http://www.archeometrie.mom.fr/PCRAtlas.html), le groupe de recherche comprend 30 chercheurs appartenant aux diverses institutions archéologiques impliquées dans l’archéologie ly...

  2. World Ocean Atlas 2005, Temperature

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — World Ocean Atlas 2005 (WOA05) is a set of objectively analyzed (1° grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen...

  3. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    2001-01-01

    Different phases of realisation to Point 1: zone of the ATLAS experiment 14-02-2001Realising anchorage, isolations and scaffoldings at UX 15 18-04-2001Concreting the arch and posing the metal reinforcements at UX 15

  4. Two new wheels for ATLAS

    CERN Multimedia

    2002-01-01

    Juergen Zimmer (Max Planck Institute), Roy Langstaff (TRIUMF/Victoria) and Sergej Kakurin (JINR), in front of one of the completed wheels of the ATLAS Hadronic End Cap Calorimeter. A decade of careful preparation and construction by groups in three continents is nearing completion with the assembly of two of the four 4 m diameter wheels required for the ATLAS Hadronic End Cap Calorimeter. The first two wheels have successfully passed all their mechanical and electrical tests, and have been rotated on schedule into the vertical position required in the experiment. 'This is an important milestone in the completion of the ATLAS End Cap Calorimetry' explains Chris Oram, who heads the Hadronic End Cap Calorimeter group. Like most experiments at particle colliders, ATLAS consists of several layers of detectors in the form of a 'barrel' and two 'end caps'. The Hadronic Calorimeter layer, which measures the energies of particles such as protons and pions, uses two techniques. The barrel part (Tile Calorimeter) cons...

  5. Nuclear Receptor Signaling Atlas (NURSA)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Nuclear Receptor Signaling Atlas (NURSA) is designed to foster the development of a comprehensive understanding of the structure, function, and role in disease...

  6. BioFuels Atlas (Presentation)

    Energy Technology Data Exchange (ETDEWEB)

    Moriarty, K.

    2011-02-01

    Presentation for biennial merit review of Biofuels Atlas, a first-pass visualization tool that allows users to explore the potential of biomass-to-biofuels conversions at various locations and scales.

  7. Dartmouth Atlas of Health Care

    Data.gov (United States)

    U.S. Department of Health & Human Services — For more than 20 years, the Dartmouth Atlas Project has documented glaring variations in how medical resources are distributed and used in the United States. The...

  8. ATLAS starts moving in

    CERN Multimedia

    Della Mussia, S

    2004-01-01

    The first large active detector component was lowered into the ATLAS cavern on 1st March. It consisted of the 8 modules forming the lower part of the central barrel of the tile hadronic calorimeter. The work of assembling the barrel, which comprises 64 modules, started the following day. Two road trailers each with 64 wheels, positioned side by side. This was the solution chosen to transport the lower part of the central barrel of ATLAS' tile hadronic calorimeter from Building 185 to the PX16 shaft at Point 1 (see Figure 1). The transportation, and then the installation of the component in the experimental cavern, which took place over three days were, to say the least, rather spectacular. On 25 February, the component, consisting of eight 6-metre modules, was loaded on to the trailers. The segment of the barrel was transported on a steel support so that it wouldn't move an inch during the journey. On 26 February, once all the necessary safety checks had been carried out, the convoy was able to leave Buildi...

  9. The ATLAS Event Builder

    CERN Document Server

    Vandelli, W; Battaglia, A; Beck, H P; Blair, R; Bogaerts, A; Bosman, M; Ciobotaru, M; Cranfield, R; Crone, G; Dawson, J; Dobinson, Robert W; Dobson, M; Dos Anjos, A; Drake, G; Ermoline, Y; Ferrari, R; Ferrer, M L; Francis, D; Gadomski, S; Gameiro, S; Gorini, B; Green, B; Haberichter, W; Haberli, C; Hauser, R; Hinkelbein, C; Hughes-Jones, R; Joos, M; Kieft, G; Klous, S; Korcyl, K; Kordas, K; Kugel, A; Leahu, L; Lehmann, G; Martin, B; Mapelli, L; Meessen, C; Meirosu, C; Misiejuk, A; Mornacchi, G; Müller, M; Nagasaka, Y; Negri, A; Pasqualucci, E; Pauly, T; Petersen, J; Pope, B; Schlereth, J L; Spiwoks, R; Stancu, S; Strong, J; Sushkov, S; Szymocha, T; Tremblet, L; Ünel, G; Vermeulen, J; Werner, P; Wheeler-Ellis, S; Wickens, F; Wiedenmann, W; Yu, M; Yasu, Y; Zhang, J; Zobernig, H; 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference

    2008-01-01

    Event data from proton-proton collisions at the LHC will be selected by the ATLAS experiment in a three-level trigger system, which, at its first two trigger levels (LVL1+LVL2), reduces the initial bunch crossing rate of 40~MHz to $sim$3~kHz. At this rate, the Event Builder collects the data from the readout system PCs (ROSs) and provides fully assembled events to the Event Filter (EF). The EF is the third trigger level and its aim is to achieve a further rate reduction to $sim$200~Hz on the permanent storage. The Event Builder is based on a farm of O(100) PCs, interconnected via a Gigabit Ethernet to O(150) ROSs. These PCs run Linux and multi-threaded software applications implemented in C++. All the ROSs, and substantial fractions of the Event Builder and Event Filter PCs have been installed and commissioned. We report on performance tests on this initial system, which is capable of going beyond the required data rates and bandwidths for Event Building for the ATLAS experiment.

  10. Spring comes for ATLAS

    CERN Multimedia

    Butin, F.

    2004-01-01

    (First published in the CERN weekly bulletin 24/2004, 7 June 2004.) A short while ago the ATLAS cavern underwent a spring clean, marking the end of the installation of the detector's support structures and the cavern's general infrastructure. The list of infrastructure to be installed in the ATLAS cavern from September 2003 was long: a thousand tonnes of mechanical structures spread over 13 storeys, two lifts, two 65-tonne overhead travelling cranes 25 metres above cavern floor, with a telescopic boom and cradle to access the remaining 10 metres of the cavern, a ventilation system for the 55 000 cubic metre cavern, a drainage system, a standard sprinkler system and an innovative foam fire-extinguishing system, as well as the external cryogenic system for the superconducting magnets and the liquid argon calorimeters (comprising, amongst other things, two helium refrigeration units, a nitrogen refrigeration unit and 5 km of piping for gaseous or liquid helium and nitrogen), not to mention the handling eq...

  11. ATLAS construction schedule

    CERN Multimedia

    Kotamaki, M

    The goal during the last few months has been to freeze and baseline as much as possible the schedules of various ATLAS systems and activities. The main motivations for the re-baselining of the schedules have been the new LHC schedule aiming at first collisions in early 2006 and the encountered delays in civil engineering as well as in the production of some of the detectors. The process was started by first preparing a new installation schedule that takes into account all the new external constraints and the new ATLAS staging scenario. The installation schedule version 3 was approved in the March EB and it provides the Ready For Installation (RFI) milestones for each system, i.e. the date when the system should be available for the start of the installation. TCn is now interacting with the systems aiming at a more realistic and resource loaded version 4 before the end of the year. Using the new RFI milestones as driving dates a new summary schedule has been prepared, or is under preparation, for each system....

  12. ATLAS Physicist in Space

    CERN Multimedia

    Bengt Lund-Jensen

    2007-01-01

    On December 9, the former ATLAS physicist Christer Fuglesang was launched into space onboard the STS-116 Space Shuttle flight from Kennedy Space Center in Florida. Christer worked on the development of the accordion-type liquid argon calorimeter and SUSY simulations in what eventually became ATLAS until summer 1992 when he became one out of six astronaut trainees with the European Space Agency (ESA). His selection out of a very large number of applicants from all over the ESA member states involved a number of tests in order to choose the most suitable candidates. As ESA astronaut Christer trained with the Russian Soyuz programme in Star City outside of Moscow from 1993 until 1996, when he moved to Houston to train for space shuttle missions with NASA. Christer belonged to the backup crew for the Euromir95 mission. After additional training in Russia, Christer qualified as ‘Soyuz return commander’ in 1998. Christer rerouting cables during his second space walk. (Photo: courtesy NASA) During...

  13. Atlas Distributed Analysis Tools

    Science.gov (United States)

    de La Hoz, Santiago Gonzalez; Ruiz, Luis March; Liko, Dietrich

    2008-06-01

    The ATLAS production system has been successfully used to run production of simulation data at an unprecedented scale. Up to 10000 jobs were processed in one day. The experiences obtained operating the system on several grid flavours was essential to perform a user analysis using grid resources. First tests of the distributed analysis system were then performed. In the preparation phase data was registered in the LHC File Catalog (LFC) and replicated in external sites. For the main test, few resources were used. All these tests are only a first step towards the validation of the computing model. The ATLAS management computing board decided to integrate the collaboration efforts in distributed analysis in only one project, GANGA. The goal is to test the reconstruction and analysis software in a large scale Data production using Grid flavors in several sites. GANGA allows trivial switching between running test jobs on a local batch system and running large-scale analyses on the Grid; it provides job splitting and merging, and includes automated job monitoring and output retrieval.

  14. ATLAS Distributed Analysis Tools

    CERN Document Server

    Gonzalez de la Hoz, Santiago; Liko, Dietrich

    2008-01-01

    The ATLAS production system has been successfully used to run production of simulation data at an unprecedented scale. Up to 10000 jobs were processed in one day. The experiences obtained operating the system on several grid flavours was essential to perform a user analysis using grid resources. First tests of the distributed analysis system were then performed. In the preparation phase data was registered in the LHC File Catalog (LFC) and replicated in external sites. For the main test, few resources were used. All these tests are only a first step towards the validation of the computing model. The ATLAS management computing board decided to integrate the collaboration efforts in distributed analysis in only one project, GANGA. The goal is to test the reconstruction and analysis software in a large scale Data production using Grid flavors in several sites. GANGA allows trivial switching between running test jobs on a local batch system and running large-scale analyses on the Grid; it provides job splitting a...

  15. ATLAS Future Upgrade

    CERN Document Server

    Vankov, Peter; The ATLAS collaboration

    2016-01-01

    After the successful operation at the center-of-mass energies of 7 and 8 TeV in 2010 - 2012, the LHC is ramped up and successfully took data at the center-of-mass energies of 13 TeV in 2015. Meanwhile, plans are actively advancing for a series of upgrades of the accelerator, culminating roughly ten years from now in the high-luminosity LHC (HL-LHC) project, delivering of the order of five times the LHC nominal instantaneous luminosity along with luminosity leveling. The ultimate goal is to extend the dataset from about few hundred fb−1 expected for LHC running to 3000 fb−1 by around 2035 for ATLAS and CMS. In parallel, the experiments need to be keep lockstep with the accelerator to accommodate running beyond the nominal luminosity this decade. Along with maintenance and consolidation of the detector in the past few years, ATLAS has added inner b-layer to its tracking system. The challenge of coping with the HL-LHC instantaneous and integrated luminosity, along with the associated radiation levels, requir...

  16. The ATLAS tau trigger

    International Nuclear Information System (INIS)

    The ATLAS experiment at CERN's LHC has implemented a dedicated tau trigger system to select hadronically decaying tau leptons from the enormous background of QCD jets. This promises a significant increase in the discovery potential to the Higgs boson and in searches for physics beyond the Standard Model. The three level trigger system has been optimized for efficiency and good background rejection. The first level uses information from the calorimeters only, while the two higher levels include also information from the tracking detectors. Shower shape variables and the track multiplicity are important variables to distinguish taus from QCD jets. At the initial luminosity of 1031 cm-2s-1, single tau triggers with a transverse energy threshold of 50 GeV or higher can be run stand-alone. Below this level, the tau signatures will be combined with other event signatures. During the collection of a large sample of cosmic ray events in Autumn 2008, the tau trigger was operated as an integrated part of the ATLAS trigger system. This allowed the commissioning of technical aspects of the tau trigger.

  17. The ATLAS Fast Tracker

    CERN Document Server

    Volpi, Guido; The ATLAS collaboration

    2015-01-01

    The use of tracking information at the trigger level in the LHC Run II period is crucial for the trigger an data acquisition (TDAQ) system. The tracking precision is in fact important to identify specific decay products of the Higgs boson or new phenomena, a well as to distinguish the contributions coming from many contemporary collisions that occur at every bunch crossing. However, the track reconstruction is among the most demanding tasks performed by the TDAQ computing farm; in fact, full reconstruction at full Level-1 trigger accept rate (100 KHz) is not possible. In order to overcome this limitation, the ATLAS experiment is planning the installation of a specific processor: the Fast Tracker (FTK), which is aimed at achieving this goal. The FTK is a pipeline of high performance electronic, based on custom and commercial devices, which is expected to reconstruct, with high resolution, the trajectories of charged tracks with a transverse momentum above 1 GeV, using the ATLAS inner tracker information. Patte...

  18. ATLAS Solenoid Integration

    CERN Multimedia

    Ruber, R

    Last month the central solenoid was installed in the barrel cryostat, which it shares with the liquid argon calorimeter. Figure 1: Some members of the solenoid and liquid argon teams proudly pose in front of the barrel cryosat, complete with detector and magnet. Some two years ago the central solenoid arrived at CERN after being manufactured and tested in Japan. It was kept in storage until last October when it was finally moved to the barrel cryostat integration area. Here a position survey of the solenoid (with respect to the cryostat's inner warm vessel) was performed. Figure 2: The alignment survey by Dirk Mergelkuhl and Aude Wiart. (EST-SU) At the start of the New Year the solenoid was moved to the cryostat insertion stand. Figure 3: The solenoid on the insertion stand, with Akira Yamamoto the solenoid designer and project leader. Figure 4: Taka Kondo, ATLAS Japan spokesperson, and Shoichi Mizumaki, Toshiba project engineer for the ATLAS solenoid, celebrate the insertion. Aft...

  19. ATLAS Christmas lunch

    CERN Multimedia

    Francois Butin; Markus Nordberg

    The end of the year ATLAS pit lunch is now a well established tradition: the 4th edition took place in the most prestigious place at CERN; the "Globe de l'innovation", or simply "the Globe". This end-of-year event is the opportunity to thank all those working so hard at Point 1. The first event took place in December 2003. At that time, there was no Globe yet, and the party took place in SX1 building, at the top of the shafts leading to the ATLAS cavern, with some 100 guests. In December 2004, we had the privilege to be the first to organize a lunch in the Globe with some 200 guests. Since then, many have followed our example! Well, almost: we were requested to refrain from serving "Tartiflette" again in there (a Savoyard specialty, using vast amounts of Reblochon, a smelly cheese...). It was said to have left a poignant odour for following events throughout 2004... Long queues formed for this special event. In December 2005, we were authorized to party in the Globe again (once we promised we would b...

  20. The PeptideAtlas Project

    OpenAIRE

    Deutsch, Eric W.

    2010-01-01

    PeptideAtlas is a multi-species compendium of peptides observed with tandem mass spectrometry methods. Raw mass spectrometer output files are collected from the community and reprocessed through a uniform analysis and validation pipeline that continues to advance. The results are loaded into a database and the information derived from the raw data is returned to the community via several web-based data exploration tools. The PeptideAtlas resource is useful for experiment planning, improving g...

  1. SLHC and ATLAS, Initial Plans

    CERN Document Server

    Nessi, M

    2008-01-01

    The recent developments in the plans and scenarios proposed by the LHC machine experts towards the SLHC, have triggered various concerns and reserves in the ATLAS community. In particular the eventual need to insert dipoles, quadrupoles and protection elements inside the detector creates major concerns, because of its complex logistics and the risk of reducing the effectiveness of the ATLAS internal radiation shielding. Justifications and constraints on how to best use this space are given.

  2. ATLAS discoveries of optical transients

    Science.gov (United States)

    Tonry, J.; Denneau, L.; Stalder, B.; Heinze, A.; Sherstyuk, A.; Rest, A.; Smith, K. W.; Smartt, S. J.

    2016-06-01

    We report the following transients found by the ATLAS survey (see Tonry et al. ATel #8680). ATLAS is a twin 0.5m telescope system on Haleakala and Mauna Loa. The first unit is operational on Haleakala is robotically surveying the sky. Two filters are used, cyan and orange (denoted c and o, all mags in AB system), more information is on http://www.fallingstar.com.

  3. ATLAS Overview Week 2009 Barcelona

    CERN Multimedia

    Claudia Marcelloni

    2009-01-01

    From October 5th to October 9th about 400 physicists from the ATLAS Collaboration met in Barcelona (Catalonia) to discuss the status of the experiment. The event was organized by the Institut de Física d'Altes Energies (IFAE), a member of the ATLAS Collaboration. Besides the Scientific program, few social events were organized, such as Reception at the Palau de Pedralbes, a visit to the Fundacio Joan Miro and a social dinner at Maremagnunm hall.

  4. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    2000-01-01

    Different phases of realisation to Point 1 : zone of the ATLAS experiment The film is about the excavation work in the cavern and tunnels of ATLAS experiment in the point 1. You can see people working for iron mounting at the side of the pit where the parts of the detector will be lowered in the future. Partly the film concentrates the USA 15 and the work done there.

  5. Equity valuation : Atlas Copco AB

    OpenAIRE

    Santos, Ricardo Manuel Castro Lopes Alba

    2016-01-01

    This Dissertation presents a literature review of some of the most appraised theories on equity valuation models. A thoughtful analysis is made, presenting the main advantages and restrictions of each model and setting the path for a discussion about improvements to be made on this field of study. A practical implementation follows, proposing a fair value estimation of Atlas Copco AB shares. Atlas Copco is a Swedish-based capital goods company, operating across four differen...

  6. ATLAS discoveries of optical transients

    Science.gov (United States)

    Tonry, J.; Denneau, L.; Stalder, B.; Heinze, A.; Sherstyuk, A.; Rest, A.; Smith, K. W.; Smartt, S. J.

    2016-08-01

    We report the following transients found by the ATLAS survey (see Tonry et al. ATel #8680). ATLAS is a twin 0.5m telescope system on Haleakala and Mauna Loa. The first unit is operational on Haleakala is robotically surveying the sky. Two filters are used, cyan and orange (denoted c and o, all mags in AB system), more information is on http://www.fallingstar.com.

  7. EnviroAtlas - Metrics for Memphis, TN

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web...

  8. EnviroAtlas - Portland, OR - Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset is the base layer for the Portland, OR EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on...

  9. Women of ATLAS - International Women's Day 2016

    CERN Multimedia

    Biondi, Silvia

    2016-01-01

    Women play key roles in the ATLAS Experiment: from young physicists at the start of their careers to analysis group leaders and spokespersons of the collaboration. Celebrate International Women's Day by meeting a few of these inspiring ATLAS researchers.

  10. EnviroAtlas - Austin, TX - Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset is the base layer for the Austin, TX EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on...

  11. AGIS: The ATLAS Grid Information System

    CERN Document Server

    Anisenkov, A; The ATLAS collaboration; Klimentov, A; Oleynik, D; Petrosyan, A

    2014-01-01

    In this paper we describe ATLAS Grid Information System (AGIS), the system designed to integrate configuration and status information about resources, services and topology of the computing infrastructure used by ATLAS Distributed Computing applications and services.

  12. AGIS: The ATLAS Grid Information System

    CERN Document Server

    Anisenkov, A; The ATLAS collaboration; Klimentov, A; Oleynik, D; Petrosyan, A

    2013-01-01

    In this paper we describe ATLAS Grid Information System (AGIS), the system designed to integrate configuration and status information about resources, services and topology of the computing infrastructure used by ATLAS Distributed Computing applications and services.

  13. Methodology of Lithuanian climate atlas mapping

    Directory of Open Access Journals (Sweden)

    Valiukas Donatas

    2015-06-01

    Full Text Available Climate atlases summarize large sets of quantitative and qualitative data and are results of complex analytical cartographic work. These special geographical publications summarize long term meteorological observations, provide maps and figures which characterise different climate elements. Visual information is supplemented with explanatory texts. A lot of information on short and long term changes of climate elements were provided in published Lithuanian atlases (Atlas of Lithuanian SDR, 1981; Climate Atlas of Lithuania, 2013, as well as in prepared but unpublished Lithuanian Atlas (1989 and in upcoming new national atlas publications (National Atlas of Lithuania. 1st part, 2014. Climate atlases has to be constantly updated to be relevant and to describe current climate conditions. Comprehensive indicators of Lithuanian climate are provided in different cartographic publications. Different time periods, various data sets and diverse cartographic data analysis tools and visualisation methods were used in these different publications.

  14. Forward Physics at the ATLAS experiment

    CERN Document Server

    The ATLAS collaboration

    2009-01-01

    Poster summarize forward physics at the ATLAS experiment. It aims to AFP project which is the project to install forward detectors at 220m (AFP220) and 420m (AFP420) around ATLAS for measurements at high luminosity.

  15. EnviroAtlas - Memphis, TN - Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset is the base layer for the Memphis, TN EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based...

  16. ATLAS : civil engineering at Point 1

    CERN Multimedia

    CERN Audiovisual Unit

    2002-01-01

    The ATLAS experimental area is located in Point 1, just across the main CERN entrance, in the commune of Meyrin. There people are ever so busy to finish the different infrastructures for ATLAS. Real underground video.

  17. EnviroAtlas - Metrics for Portland, ME

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web...

  18. EnviroAtlas - Metrics for Phoenix, AZ

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in these web...

  19. EnviroAtlas - Metrics for Paterson, NJ

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in these web...

  20. EnviroAtlas - Metrics for Pittsburgh, PA

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in these web...

  1. EnviroAtlas - Metrics for Tampa, FL

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web...

  2. EnviroAtlas - Metrics for Milwaukee, WI

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (http://www.epa.gov/enviroatlas). The layers in these web...

  3. EnviroAtlas - Metrics for Woodbine, IA

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web...

  4. EnviroAtlas - Metrics for Durham, NC

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas ). The layers in these web...

  5. EnviroAtlas - Paterson, NJ - Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset is the base layer for the Paterson, NJ EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on...

  6. EnviroAtlas - Metrics for Fresno, CA

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web...

  7. EnviroAtlas - Metrics for Portland, OR

    Data.gov (United States)

    U.S. Environmental Protection Agency — These EnviroAtlas web services support research and online mapping activities related to EnviroAtlas (http:/www.epa.gov/enviroatlas). The layers in these web...

  8. EnviroAtlas - Pittsburgh, PA - Block Groups

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset is the base layer for the Pittsburgh, PA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based...

  9. ATLAS Award for Shield Supplier

    CERN Multimedia

    2004-01-01

    ATLAS technical coordinator Dr. Marzio Nessi presents the ATLAS supplier award to Vojtech Novotny, Director General of Skoda Hute.On 3 November, the ATLAS experiment honoured one of its suppliers, Skoda Hute s.r.o., of Plzen, Czech Republic, for their work on the detector's forward shielding elements. These huge and very massive cylinders surround the beampipe at either end of the detector to block stray particles from interfering with the ATLAS's muon chambers. For the shields, Skoda Hute produced 10 cast iron pieces with a total weight of 780 tonnes at a cost of 1.4 million CHF. Although there are many iron foundries in the CERN member states, there are only a limited number that can produce castings of the necessary size: the large pieces range in weight from 59 to 89 tonnes and are up to 1.5 metres thick.The forward shielding was designed by the ATLAS Technical Coordination in close collaboration with the ATLAS groups from the Czech Technical University and Charles University in Prague. The Czech groups a...

  10. A computerized adjustable brain atlas

    International Nuclear Information System (INIS)

    A computerized brain atlas, adjustable to the patients anatomy, has been developed. It is primarily intended for use in positron emission tomography, but may also be employed in other fields utilizing neuro imaging, such as sterotactic surgery, transmission computerized tomography (CT) and magnetic resonance imaging (MRI). The atlas is based on anatomical information obtained from digitized cryosectioned brains. It can be adjusted to fit a wide range of images from individual brains with normal anatomy. The corresponding transformation is chosen so that the modified atlas agrees with a set of CT or NMR images of the patient. The computerized atlas can be used to improve the quantification and evaluation of PET data by: Aiding and improving the selection of regions of interests. Facilitating comparisons of functional image data from different individuals or groups of individuals. Facilitating the comparison of different examinations of the same patient, thus reducing the need of reproducible fixation systems. Providing external a priori anatomical information to be used in the image reconstruction. Improving the attenuation and scatter corrections. Aiding in selecting a suitable patient orientation during the PET study. By applying the inverse atlas transformation to PET data set it is possible to relate the PET information to the anatomy of the reference atlas. Reformatted PET data from different patients can thus be averaged, and averages from different categories of patients can be compared. The method will facilitate the identification of statistically significant differences in the PET information from different groups of patients. (orig.)

  11. ATLAS cloud R and D

    International Nuclear Information System (INIS)

    The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R and D working group to investigate the different integration scenarios. The ATLAS Cloud Computing R and D has been able to demonstrate the feasibility of offloading work from grid to cloud sites and, as of today, is able to integrate transparently various cloud resources into the PanDA workload management system. The ATLAS Cloud Computing R and D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R and D group has gained a significant insight into the cloud computing landscape and has identified points that still need to be addressed in order to fully utilize this technology. This contribution will explain the cloud integration models that are being evaluated and will discuss ATLAS' learning during the collaboration with leading commercial and academic cloud providers.

  12. DIALECT ATLASES / AĞIZ ATLASLARI

    OpenAIRE

    Prof. Dr. Erdoğan BOZ

    2008-01-01

    Dialect atlases provide characteristics of dialects spoken in acountry in terms of phonology, morphology and syntax, and also includesatisfactory information about vocabulary. Interpreted in the light ofthis knowledge, dialect atlases provide important inferences with respectto both sociocultural and political matters. Despite many developedcountries in the world completed their dialect atlases, such a work hasn'tstarted in Turkey yet. Preparing Turkey Turkish's dialect atlas beforedisappeara...

  13. ATLAS experiment : mapping the secrets of the universe

    CERN Multimedia

    ATLAS Outreach

    2010-01-01

    This 4 page color brochure describes ATLAS and the LHC, the ATLAS inner detector, calorimeters, muon spectrometer, magnet system, a short definition of the terms "particles," "dark matter," "mass," "antimatter." It also explains the ATLAS collaboration and provides the ATLAS website address with some images of the detector and the ATLAS collaboration at work.

  14. Atlas of Nuclear Isomers

    Energy Technology Data Exchange (ETDEWEB)

    Jain, Ashok Kumar, E-mail: ajainfph@iitr.ac.in [Department of Physics, Indian Institute of Technology, Roorkee-247667 (India); Maheshwari, Bhoomika; Garg, Swati; Patial, Monika [Department of Physics, Indian Institute of Technology, Roorkee-247667 (India); Singh, Balraj [Department of Physics and Astronomy, McMaster University, Hamilton, Ontario-L8S 4M1 (Canada)

    2015-09-15

    We present an atlas of nuclear isomers containing the experimental data for the isomers with a half-life ≥ 10 ns together with their various properties such as excitation-energy, half-life, decay mode(s), spin-parity, energies and multipolarities of emitted gamma transitions, etc. The ENSDF database complemented by the XUNDL database has been extensively used in extracting the relevant data. Recent literature from primary nuclear physics journals, and the NSR bibliographic database have been searched to ensure that the compiled data Table is as complete and current as possible. The data from NUBASE-12 have also been checked for completeness, but as far as possible original references have been cited. Many interesting systematic features of nuclear isomers emerge, some of them new; these are discussed and presented in various graphs and figures. The cutoff date for the extraction of data from the literature is August 15, 2015.

  15. The ATLAS experiment

    CERN Document Server

    Dunford, Monica Lynn

    2014-01-01

    In particle physics experiments, the discovery of increasingly more massive particles has brought deep understanding of the basic constituents of matter and of the fundamental forces among them. In order to explore Nature in its deepest elementary secrets, the Large Hadron Collider (LHC) was built at CERN, Geneva. The LHC provides the highest energy collisions in a laboratory, at very high rates to allow one to study very rare reactions. Two independent sophisticated huge instruments, called ATLAS and CMS detectors, are operated to explore in a most broad way the physics of these collisions. In addition to these two general-purpose detectors, smaller specialized experiments (LHCb, ALICE and some others) are collecting collision data as well.

  16. Quarkonium production at ATLAS

    CERN Document Server

    Price, Darren D

    2012-01-01

    The production of quarkonium is an important testing ground for QCD calculations. The J/\\psi\\ and \\Upsilon\\ production cross-sections are measured in proton-proton collisions at a centre-of-mass energy of 7~TeV with the ATLAS detector at the LHC. Differential cross-sections are presented as a function of transverse momentum and rapidity. The fraction of J/\\psi\\ produced in B-hadron decays is also measured and the differential cross-sections of prompt and non-prompt J/\\psi\\ production determined separately. Measurements of the fiducial production cross-section of the \\Upsilon(1S) and observation of the \\chi_{c,bJ} states are also discussed.

  17. The ATLAS Computing Model

    International Nuclear Information System (INIS)

    The ATLAS computing model was constructed to exploit the opportunities of the Grid in handling the large volumes of data from the Large Hadron Collider and to allow easy and relatively local access to data for all of its collaborators worldwide. Despite delays with collision data, the model has now been tested with beam-related and cosmic ray data, and much has been learned. The model has retained its overall design, but with adjustments for the actual functionality of the delivered Grid middleware and services, and for the realities of data access. While much has still to be learned, the model has worked effectively. This presentation will cover the roles of the various Tiers, the resources required and the expected workflows. (author)

  18. Atlas of Nuclear Isomers

    Science.gov (United States)

    Jain, Ashok Kumar; Maheshwari, Bhoomika; Garg, Swati; Patial, Monika; Singh, Balraj

    2015-09-01

    We present an atlas of nuclear isomers containing the experimental data for the isomers with a half-life ≥ 10 ns together with their various properties such as excitation-energy, half-life, decay mode(s), spin-parity, energies and multipolarities of emitted gamma transitions, etc. The ENSDF database complemented by the XUNDL database has been extensively used in extracting the relevant data. Recent literature from primary nuclear physics journals, and the NSR bibliographic database have been searched to ensure that the compiled data Table is as complete and current as possible. The data from NUBASE-12 have also been checked for completeness, but as far as possible original references have been cited. Many interesting systematic features of nuclear isomers emerge, some of them new; these are discussed and presented in various graphs and figures. The cutoff date for the extraction of data from the literature is August 15, 2015.

  19. Consumer Energy Atlas

    Energy Technology Data Exchange (ETDEWEB)

    1980-06-01

    This first edition of the Atlas provides, in reference form, a central source of information to consumers on key contacts concerned with energy in the US. Energy consumers need information appropriate to local climates and characteristics - best provided by state and local governments. The Department of Energy recognizes the authority of state and local governments to manage energy programs on their own. Therefore, emphasis has been given to government organizations on both the national and state level that influence, formulate, or administer policies affecting energy production, distribution, and use, or that provide information of interest to consumers and non-specialists. In addition, hundreds of non-government energy-related membership organizations, industry trade associations, and energy publications are included.

  20. ATLAS Inner Detector developments

    CERN Document Server

    Barberis, D

    2000-01-01

    The ATLAS Inner Detector consists of three layers of silicon pixels, four double layers of silicon microstrips and a Transition Radiation Tracker (straw tubes). The good performance of the track and vertex reconstruction algorithms is a direct consequence of the small radius (4.3, 10.1 and 13.2 cm), fine pitch ($50 \\times 300~\\mu$m) and low occupancy ($<3 \\times 10^{-4}$ at design luminosity) of the pixel detectors, and of the good tracking capabilities of the SCT and the TRT. The full detector simulation is used to evaluate the performance of the detector and of the reconstruction algorithms. Results are presented on track and vertex reconstruction efficiencies and resolutions, and on the separation between $b$-jets and jets produced by light quarks.

  1. Balkan environmental atlas

    Directory of Open Access Journals (Sweden)

    Cekić Nikola

    2006-01-01

    Full Text Available This paper points out an extremely delicate urbarchitectonic-environemental drama, with innumerable global complex situations. There seems to be little hope for improvement in the actual living environment where the condition, in the developmental sense of the term, grows less and less sustainable. Very frequent conferences organized at all quarters of the world, with important declarations and recommendation do not manage to curb the increasingly evident crisis. The author points out to the need to create new action conditions in the Balkans and argues for the creation of a singular coordinated, environmental Atlas of the Balkans, an important document, with bases of key data, so that a better quality of life in micro and macro ambience units could be achieved. Therefore, striving for a different, new reality which will not be based on the declarative principles, but on the scientific research and academic education.

  2. The Origin of the Term 'Atlas'

    Directory of Open Access Journals (Sweden)

    Miljenko Lapaine

    2008-05-01

    Full Text Available In this paper the origin of the term 'atlas', as a bound collection of maps, is considered. It is usually thought to derive from the name of the Titan, Atlas, who was punished by being forced to bear the entire celestial sphere or universe on his shoulders. However, on the basis of research into and translation of the original Preface of Mercator's Atlas sive cosmographicae meditationes de fabrica mvndi et fabricati figvra, it has been determined that Mercator did not refer to this legend, but named his atlas for the completely different characteristics, such as wisdom, erudition and humanity, of another Atlas.

  3. Last piece of the puzzle for ATLAS

    CERN Multimedia

    Clare Ryan

    At around 15.40 on Friday 29th February the ATLAS collaboration cracked open the champagne as the second of the small wheels was lowered into the cavern. Each of ATLAS' small wheels are 9.3 metres in diameter and weigh 100 tonnes including the massive shielding elements. They are the final parts of ATLAS' muon spectrometer. The first piece of ATLAS was installed in 2003 and since then many detector elements have journeyed down the 100 metre shaft into the ATLAS underground cavern. This last piece completes this gigantic puzzle.

  4. ATLAS Maintenance and Operation management system

    CERN Multimedia

    Copy, B

    2007-01-01

    The maintenance and operation of the ATLAS detector will involve thousands of contributors from 170 physics institutes. Planning and coordinating the action of ATLAS members, ensuring their expertise is properly leveraged and that no parts of the detector are understaffed or overstaffed will be a challenging task. The ATLAS Maintenance and Operation application (referred to as Operation Task Planner inside the ATLAS experiment) offers a fluent web based interface that combines the flexibility and comfort of a desktop application, intuitive data visualization and navigation techniques, with a lightweight service oriented architecture. We will review the application, its usage within the ATLAS experiment, its underlying design and implementation.

  5. ATLAS Cloud R&D

    CERN Document Server

    Panitkin, S; The ATLAS collaboration; Caballero Bejar, J; Benjamin, D; DiGirolamo, A; Gable, I; Hendrix, V; Hover, J; Kucharczuk, K; Medrano LLamas, R; Love, P; Ohman, H; Paterson, M; Sobie, R; Taylor, R; Walker, R; Zaytsev, A

    2014-01-01

    The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R&D working group to investigate the different integration scenarios. The ATLAS Cloud Computing R&D has been able to demonstrate the feasibility of offloading work from grid to cloud sites and, as of today, is able to integrate transparently various cloud resources into the PanDA workload management system. The ATLAS Cloud Computing R&D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R&D group has gained...

  6. The ATLAS distributed analysis system

    Science.gov (United States)

    Legger, F.; Atlas Collaboration

    2014-06-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of Grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high and steadily improving; Grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. Both the user support techniques and the direct feedback of users have been effective in improving the success rate and user experience when utilizing the distributed computing environment. In this contribution a description of the main components, activities and achievements of ATLAS distributed analysis is given. Several future improvements being undertaken will be described.

  7. Cassini Tour Atlas Automated Generation

    Science.gov (United States)

    Grazier, Kevin R.; Roumeliotis, Chris; Lange, Robert D.

    2011-01-01

    During the Cassini spacecraft s cruise phase and nominal mission, the Cassini Science Planning Team developed and maintained an online database of geometric and timing information called the Cassini Tour Atlas. The Tour Atlas consisted of several hundreds of megabytes of EVENTS mission planning software outputs, tables, plots, and images used by mission scientists for observation planning. Each time the nominal mission trajectory was altered or tweaked, a new Tour Atlas had to be regenerated manually. In the early phases of Cassini s Equinox Mission planning, an a priori estimate suggested that mission tour designers would develop approximately 30 candidate tours within a short period of time. So that Cassini scientists could properly analyze the science opportunities in each candidate tour quickly and thoroughly so that the optimal series of orbits for science return could be selected, a separate Tour Atlas was required for each trajectory. The task of manually generating the number of trajectory analyses in the allotted time would have been impossible, so the entire task was automated using code written in five different programming languages. This software automates the generation of the Cassini Tour Atlas database. It performs with one UNIX command what previously took a day or two of human labor.

  8. The ATLAS distributed analysis system

    International Nuclear Information System (INIS)

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of Grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high and steadily improving; Grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters provides user support and communicates user problems to the sites. Both the user support techniques and the direct feedback of users have been effective in improving the success rate and user experience when utilizing the distributed computing environment. In this contribution a description of the main components, activities and achievements of ATLAS distributed analysis is given. Several future improvements being undertaken will be described.

  9. First ATLAS Events Recorded Underground

    CERN Multimedia

    Teuscher, R

    As reported in the CERN Bulletin, Issue No.30-31, 25 July 2005 The ATLAS barrel Tile calorimeter has recorded its first events underground using a cosmic ray trigger, as part of the detector commissioning programme. This is not a simulation! A cosmic ray muon recorded by the barrel Tile calorimeter of ATLAS on 21 June 2005 at 18:30. The calorimeter has three layers and a pointing geometry. The light trapezoids represent the energy deposited in the tiles of the calorimeter depicted as a thick disk. On the evening of June 21, the ATLAS detector, now being installed in the underground experimental hall UX15, reached an important psychological milestone: the barrel Tile calorimeter recorded the first cosmic ray events in the underground cavern. An estimated million cosmic muons enter the ATLAS cavern every 3 minutes, and the ATLAS team decided to make good use of some of them for the commissioning of the detector. Although only 8 of the 128 calorimeter slices ('superdrawers') were included in the trigg...

  10. Double zeta values, double Eisenstein series, and modular forms of level 2

    OpenAIRE

    Kaneko, Masanobu; Tasaka, Koji

    2011-01-01

    We study the double shuffle relations satisfied by the double zeta values of level 2, and introduce the double Eisenstein series of level 2 which satisfy the double shuffle relations. We connect the double Eisenstein series to modular forms of level 2.

  11. EnviroAtlas - Metrics for Des Moines, IA

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas). The layers in this...

  12. ATLAS DQ2 Deletion Service

    CERN Document Server

    OLEYNIK, D; The ATLAS collaboration; GARONNE, V; CAMPANA, S

    2012-01-01

    The ATLAS Distributed Data Management project DQ2 is responsible for the replication, access and bookkeeping of ATLAS data across more than 100 distributed grid sites. It also enforces data management policies decided on by the collaboration and defined in the ATLAS computing model. The DQ2 Deletion Service is one of the most important DDM services. This distributed service interacts with 3rd party grid middleware and the DQ2 catalogues to serve data deletion requests on the grid. Furthermore, it also takes care of retry strategies, check-pointing transactions, load management and fault tolerance. In this paper special attention is paid to the technical details which are used to achieve the high performance of service, accomplished without overloading either site storage, catalogues or other DQ2 components. Special attention is also paid to the deletion monitoring service that allows operators a detailed view of the working system.

  13. ATLAS DQ2 Deletion Service

    CERN Document Server

    OLEYNIK, D; The ATLAS collaboration; GARONNE, V; CAMPANA, S

    2012-01-01

    The ATLAS Distributed Data Management project DQ2 is responsible for the replication, access and bookkeeping of ATLAS data across more than 100 distributed grid sites. It also enforces data management policies decided on by the collaboration and defined in the ATLAS computing model. The DQ2 deletion service is one of the most important DDM services. This distributed service interacts with 3rd party grid middleware and the DQ2 catalogs to serve data deletion requests on the grid. Furthermore, it also takes care of retry strategies, check-pointing transactions, load management and fault tolerance. In this paper special attention is paid to the technical details which are used to achieve the high performance of service (peaking at more than 4 millions files deleted per day), accomplished without overloading either site storage, catalogs or other DQ2 components. Special attention is also paid to the deletion monitoring service that allows operators a detailed view of the working system.

  14. ATLAS Pixel Detector Operational Experience

    CERN Document Server

    Di Girolamo, B; The ATLAS collaboration

    2011-01-01

    The ATLAS Pixel Detector is the innermost detector of the ATLAS experiment at the Large Hadron Collider at CERN, providing high-resolution measurements of charged particle tracks in the high radiation environment close to the collision region. This capability is vital for the identification and measurement of proper decay times of long-lived particles such as b-hadrons, and thus vital for the ATLAS physics program. The detector provides hermetic coverage with three cylindrical layers and three layers of forward and backward pixel detectors. It consists of approximately 80 million pixels that are individually read out via chips bump-bonded to 1744 n-in-n silicon substrates. In this talk, results from the successful operation of the Pixel Detector at the LHC will be presented, including monitoring, calibration procedures, timing optimization and detector performance. The detector performance is excellent: 96.9% of the pixels are operational, noise occupancy and hit efficiency exceed the design specification, an...

  15. New ATLAS Software & Computing Organization

    CERN Multimedia

    Barberis, D

    Following the election by the ATLAS Collaboration Board of Dario Barberis (Genoa University/INFN) as Computing Coordinator and David Quarrie (LBNL) as Software Project Leader, it was considered necessary to modify the organization of the ATLAS Software & Computing ("S&C") project. The new organization is based upon the following principles: separation of the responsibilities for computing management from those of software development, with the appointment of a Computing Coordinator and a Software Project Leader who are both members of the Executive Board; hierarchical structure of responsibilities and reporting lines; coordination at all levels between TDAQ, S&C and Physics working groups; integration of the subdetector software development groups with the central S&C organization. A schematic diagram of the new organization can be seen in Fig.1. Figure 1: new ATLAS Software & Computing organization. Two Management Boards will help the Computing Coordinator and the Software Project...

  16. The ATLAS Detector Control System

    CERN Document Server

    Schlenker, S; Kersten, S; Hirschbuehl, D; Braun, H; Poblaguev, A; Oliveira Damazio, D; Talyshev, A; Zimmermann, S; Franz, S; Gutzwiller, O; Hartert, J; Mindur, B; Tsarouchas, CA; Caforio, D; Sbarra, C; Olszowska, J; Hajduk, Z; Banas, E; Wynne, B; Robichaud-Veronneau, A; Nemecek, S; Thompson, PD; Mandic, I; Deliyergiyev, M; Polini, A; Kovalenko, S; Khomutnikov, V; Filimonov, V; Bindi, M; Stanecka, E; Martin, T; Lantzsch, K; Hoffmann, D; Huber, J; Mountricha, E; Santos, HF; Ribeiro, G; Barillari, T; Habring, J; Arabidze, G; Boterenbrood, H; Hart, R; Marques Vinagre, F; Lafarguette, P; Tartarelli, GF; Nagai, K; D'Auria, S; Chekulaev, S; Phillips, P; Ertel, E; Brenner, R; Leontsinis, S; Mitrevski, J; Grassi, V; Karakostas, K; Iakovidis, G.; Marchese, F; Aielli, G

    2011-01-01

    The ATLAS experiment is one of the multi-purpose experiments at the Large Hadron Collider (LHC), constructed to study elementary particle interactions in collisions of high-energy proton beams. Twelve different sub-detectors as well as the common experimental infrastructure are supervised by the Detector Control System (DCS). The DCS enables equipment supervision of all ATLAS sub-detectors by using a system of >130 server machines running the industrial SCADA product PVSS. This highly distributed system reads, processes and archives of the order of 106 operational parameters. Higher level control system layers allow for automatic control procedures, efficient error recognition and handling, and manage the communication with external systems such as the LHC. This contribution firstly describes the status of the ATLAS DCS and the experience gained during the LHC commissioning and the first physics data taking operation period. Secondly, the future evolution and maintenance constraints for the coming years an...

  17. ATLAS Online Data Quality Monitoring

    CERN Document Server

    Cuenca Almenar, C; The ATLAS collaboration

    2010-01-01

    With the delivery of the first proton-proton collisions by the LHC, the ATLAS collaboration had the opportunity to operate the detector under the environment it was designed for. These first events have been of great interest not only for the high energy physics outcome, but also as a means to perform a general commissioning of system. A highly scalable distributed monitoring framework assesses the quality of the data and the operational conditions of the detector, trigger and data acquisition system. Every minute of an ATLAS data taking session the monitoring framework serves several thousands physics events to monitoring data analysis applications, handles millions of histogram updates coming from thousands applications, executes over forty thousand advanced data quality checks for a subset of those histograms, displays histograms and results of these checks on several dozens of monitors installed in main and satellite ATLAS control rooms. The online data quality monitoring system has been of great help in ...

  18. ATLAS online data quality monitoring

    CERN Document Server

    Cuenca Almenar, C; The ATLAS collaboration

    2010-01-01

    With the delivery of the first proton-proton collisions by the LHC, the ATLAS collaboration had the opportunity to operate the detector under the environment it was designed for. These first events have been of great interest not only for the high energy physics outcome, but also as a means to perform a general commissioning of system. A highly scalable distributed monitoring framework assesses the quality of the data and the operational conditions of the detector, trigger and data acquisition system. Every minute of an ATLAS data taking session the monitoring framework serves several thousands physics events to monitoring data analysis applications, handles millions of histogram updates coming from thousands applications, executes over forty thousand advanced data quality checks for a subset of those histograms, displays histograms and results of these checks on several dozens of monitors installed in main and satellite ATLAS control rooms. The online data quality monitoring system has been of great help in ...

  19. Atlas topographique de Lyon antique

    OpenAIRE

    LENOBLE, Michel

    2013-01-01

    Date de l'opération : 2001 - 2007 (PC) L’atlas topograpique de Lyon antique a été mis en œuvre en 2001 dans le cadre d’un PCR. L’équipe est composée d’une vingtaine de chercheurs d’institutions diverses (INRAP, CNRS, Ville de Lyon, université, département du Rhône, DRAC-SRA, étudiants et bénévoles). L’atlas est réalisé selon les normes et la méthodologie initiées par et pour les atlas topographiques des villes de Gaule méridionale (Urbs antiqua) et pour lesquels Fréjus et Aix-en-Provence ont ...

  20. Two ATLAS trackers become one

    CERN Multimedia

    2006-01-01

    The ATLAS inner detector barrel comes one step closer to completion as the semiconductor tracker is merged with the transition radiation tracker. ATLAS collaborators prepare for the insertion of the semiconductor tracker (SCT, behind) into the transition radiation tracker (TRT, in front). Some had hoped it would fall on Valentine's Day. But despite the slight delay, Friday 17 February was lovingly embraced as 'Conception Day,' when dozens of physicists and engineers from the international collaboration gathered to witness the insertion of the ATLAS semiconductor tracker into the transition radiation tracker, a major milestone in the assembly of the experiment's inner detector. With just millimeters of room for error, the cylindrical trackers were slid into each other as inner detector integration coordinator Heinz Pernegger issued commands and scientists held out flashlights, lay on their backs and stood on ladders to take careful measurements. Each tracker is the result of about 10 years of international ...

  1. ATLAS Nightly Build System Upgrade

    CERN Document Server

    Dimitrov, G; The ATLAS collaboration; Simmons, B; Undrus, A

    2014-01-01

    The ATLAS Nightly Build System is a facility for automatic production of software releases. Being the major component of ATLAS software infrastructure, it supports more than 50 multi-platform branches of nightly releases and provides ample opportunities for testing new packages, for verifying patches to existing software, and for migrating to new platforms and compilers. The Nightly System testing framework runs several hundred integration tests of different granularity and purpose. The nightly releases are distributed and validated, and some are transformed into stable releases used for data processing worldwide. The first LHC long shutdown (2013-2015) activities will elicit increased load on the Nightly System as additional releases and builds are needed to exploit new programming techniques, languages, and profiling tools. This paper describes the plan of the ATLAS Nightly Build System Long Shutdown upgrade. It brings modern database and web technologies into the Nightly System, improves monitoring of nigh...

  2. ATLAS Nightly Build System Upgrade

    CERN Document Server

    Dimitrov, G; The ATLAS collaboration; Simmons, B; Undrus, A

    2013-01-01

    The ATLAS Nightly Build System is a facility for automatic production of software releases. Being the major component of ATLAS software infrastructure, it supports more than 50 multi-platform branches of nightly releases and provides ample opportunities for testing new packages, for verifying patches to existing software, and for migrating to new platforms and compilers. The Nightly System testing framework runs several hundred integration tests of different granularity and purpose. The nightly releases are distributed and validated, and some are transformed into stable releases used for data processing worldwide. The first LHC long shutdown (2013-2015) activities will elicit increased load on the Nightly System as additional releases and builds are needed to exploit new programming techniques, languages, and profiling tools. This paper describes the plan of the ATLAS Nightly Build System Long Shutdown upgrade. It brings modern database and web technologies into the Nightly System, improves monitoring of nigh...

  3. ATLAS-1 Video News Release

    Science.gov (United States)

    1992-01-01

    Allen Kenitzer, from Marshall Space Flight Center (MSFC), narrates this NASA Kennedy Space Center video presenting a MSFC-Television news release describing the overall scientific objectives of the Atmospheric Laboratory for Applications in Science-1 (ATLAS-1) Spacelab mission. Byron Lichtenberg (NASA Science Astronaut) and Anthony O'Neil (ATLAS-1 Mission Manager) explain that the 13 sophisticated and complementary instruments carried in shuttle Atlantis' payload bay are designed to identify the chemical species in our atmosphere, to measure the Sun's energy falling on and entering the atmosphere, to study the behavior of charged particles in the electric and magnetic fields surrounding the earth, and to gather ultraviolet light from stars and galaxies. ATLAS-1 is the first Spacelab flight of the National Aeronautics and Space Administration's (NASA's) Mission to Planet Earth.

  4. ATLAS honours two Swiss companies

    CERN Multimedia

    2003-01-01

    On 18 June 2003, ATLAS presented awards to two Swiss companies, Cicorel SA and Isola Composites AG, the suppliers of the electrodes and the composite bars for the electromagnetic calorimeter. "Physicists' dreams could not become reality without industry's active participation and creativity", said Peter Jenni, ATLAS spokesman, congratulating two of the collaboration's suppliers, to which it presented awards on 18 June. Swiss quality was the order of the day, since the two companies, Cicorel SA and Isola Composites AG, which are both involved in the production of components for the electromagnetic calorimeter, are located in Switzerland's Jura region. "You have taken up and met a challenge that bordered on the impossible", added Peter Jenni. The suppliers who received the ATLAS award: Hans Wyss from Cicorel SA (left) and Constant Gentile from Isola Composites (right).Circorel SA produced enough electrodes to cover an entire football pitch. Each electrode, measuring 2 square metres, consists of three layers of...

  5. The ATLAS Glasgow Overview Week

    CERN Multimedia

    Richard Hawkings

    2007-01-01

    The ATLAS Overview Weeks always provide a good opportunity to see the status and progress throughout the experiment, and the July week at Glasgow University was no exception. The setting, amidst the traditional buildings of one of the UK's oldest universities, provided a nice counterpoint to all the cutting-edge research and technology being discussed. And despite predictions to the contrary, the weather at these northern latitudes was actually a great improvement on the previous few weeks in Geneva. The meeting sessions comprehensively covered the whole ATLAS project, from the subdetector and TDAQ systems and their commissioning, through to offline computing, analysis and physics. As a long-time ATLAS member who remembers plenary meetings in 1991 with 30 people drawing detector layouts on a whiteboard, the hardware and installation sessions were particularly impressive - to see how these dreams have been translated into 7000 tons of reality (and with attendant cabling, supports and services, which certainly...

  6. The ATLAS Muon and Tau Trigger

    CERN Document Server

    Dell'Asta, L; The ATLAS collaboration

    2013-01-01

    [Muon] The ATLAS experiment at CERN's Large Hadron Collider (LHC) deploys a three-levels processing scheme for the trigger system. The level-1 muon trigger system gets its input from fast muon trigger detectors. Fast sector logic boards select muon candidates, which are passed via an interface board to the central trigger processor and then to the High Level Trigger (HLT). The muon HLT is purely software based and encompasses a level-2 (L2) trigger followed by an event filter (EF) for a staged trigger approach. It has access to the data of the precision muon detectors and other detector elements to refine the muon hypothesis. Trigger-specific algorithms were developed and are used for the L2 to increase processing speed for instance by making use of look-up tables and simpler algorithms, while the EF muon triggers mostly benefit from offline reconstruction software to obtain most precise determination of the track parameters. There are two algorithms with different approaches, namely inside-out and outside-in...

  7. The ATLAS level-1 Central Trigger

    CERN Document Server

    Spiwoks, R; Berge, D; Caracinha, D; Ellis, Nick; Farthouat, P; Gällnö, P; Haas, S; Klofver, P; Krasznahorkay, A; Messina, A; Ohm, C; Pauly, T; Perantoni, M; Pessoa Lima Junior, H; Schuler, G; De Seixas, J M; Wengler, T; PH-EP

    2007-01-01

    The ATLAS Level-1 Central Trigger consists of the Muon-to-Central-Trigger-Processor Interface (MUCTPI), the Central Trigger Processor (CTP), and the Timing, Trigger and Control (TTC) partitions of the sub-detectors. The MUCTPI connects the output of the muon trigger system to the CTP. At every bunch crossing it receives information on muon candidates from each of the 208 muon trigger sectors and calculates the total multiplicity for each of six pT thresholds. The CTP combines information from the calorimeter trigger and the MUCTPI and makes the final Level-1 Accept (L1A) decision on the basis of lists of selection criteria (trigger menus). The MUCTPI and the CTP provide trigger summary information to the Level-2 trigger and to the data acquisition (DAQ) for every event selected at the Level-1. They further provide accumulated and, for the CTP, bunch-by-bunch counter data for monitoring of the trigger, detector and beam conditions. The TTC partitions send timing, trigger and control signals from the CTP to the...

  8. The new European wind atlas

    DEFF Research Database (Denmark)

    Lundtang Petersen, Erik; Troen, Ib; Ejsing Jørgensen, Hans;

    2014-01-01

    European Wind Atlas” aiming at reducing overall uncertainties in determining wind conditions; standing on three legs: A data bank from a series of intensive measuring campaigns; a thorough examination and redesign of the model chain from global, mesoscale to microscale models and creation of the wind atlas...... database. Although the project participants will come from the 27 member states it is envisioned that the project will be opened for global participation through test benches for model development and sharing of data – climatologically as well as experimental. Experiences from national wind atlases will be...

  9. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    1998-01-01

    Different phases of realisation to Point 1 : zone of the ATLAS experiment After watching this film you can get the view of the civil engineering work at POINT1 where the ATLAS will be built. 03-11-1998 The video starts with the view of the POINT1 taken from the roof of the building 33. 04-11-1998 View of the installation of the entrance of the SDX1 18/19-11-1998 Installation of the rafters to the building PX15

  10. ATLAS computing on CSCS HPC

    CERN Document Server

    Hostettler, Michael Artur; The ATLAS collaboration; Haug, Sigve; Walker, Rodney; Weber, Michele

    2015-01-01

    The Piz Daint Cray XC30 HPC system at CSCS, the Swiss National Supercomputing centre, was in 2014 the highest ranked European system on TOP500, also featuring GPU accelerators. Event generation and detector simulation for the ATLAS experiment have been enabled for this machine. We report on the technical solutions, performance, HPC policy challenges and possible future opportunities for HEP on extreme HPC systems. In particular a custom made integration to the ATLAS job submission system has been developed via the Advanced Resource Connector (ARC) middleware. Furthermore, some GPU acceleration of the Geant4 detector simulations has been implemented to justify the allocation request for this machine.

  11. ATLAS computing on CSCS HPC

    CERN Document Server

    Filipcic, Andrej; The ATLAS collaboration; Weber, Michele; Walker, Rodney; Hostettler, Michael Artur

    2015-01-01

    The Piz Daint Cray XC30 HPC system at CSCS, the Swiss National Supercomputing centre, is in 2014 the highest ranked European system on TOP500, also featuring GPU accelerators. Event generation and detector simulation for the ATLAS experiment has been enabled for this machine. We report on the technical solutions, performance, HPC policy challenges and possible future opportunities for HEP on extreme HPC systems. In particular a custom made integration to the ATLAS job submission system has been developed via the Advanced Resource Connector (ARC) middleware. Further, some GPU acceleration of the Geant4 detector simulations were implemented to justify the allocation request for this machine.

  12. The ATLAS Forward Physics Program

    CERN Document Server

    Pinfold, J L

    2009-01-01

    The ATLAS forward physics program is discussed in the light of the future detector upgrades under study. These developments will enhance the overall physics potential of the experiment. The physics topics presented include: luminosity determination using the LUCID and ALFA detectors; diffractive measurements that should be possible with early data; and, the AFP project which plans to deploy proton taggers at 220 and 420 m from the ATLAS IP. The AFP program includes such physics topics as hard diffraction; diffractive Higgs production,two photon physics; and, new physics in the forward region.

  13. Recent electroweak results from ATLAS

    CERN Document Server

    Meyer, J; The ATLAS collaboration

    2014-01-01

    ATLAS measurements of multi-boson production processes involving combinations of $W$, $Z$ and isolated photons are summarized. Production processes sensitive to vector-boson fusion and vector-boson scattering such as electroweak production of single vector bosons associated with two forward jets and the di-boson production at $8{\\mathrm{\\ Te\\kern -0.1em V}}$ $pp$ collisions are also presented. Measurements of the cross section and branching ratio for $Z$ to four leptons are described. Standard Model parameters, such as the weak mixing angle, are measured with high precision by ATLAS and are compared to world averages. Prospects at HL-LHC are discussed as an outlook.

  14. EnviroAtlas - Des Moines, IA - EnviroAtlas Community Boundary

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset shows the boundary of the Des Moines, IA EnviroAtlas Community. It represents the outside edge of all the block groups included in the...

  15. The effect of morphometric atlas selection on multi-atlas-based automatic brachial plexus segmentation

    International Nuclear Information System (INIS)

    The present study aimed to measure the effect of a morphometric atlas selection strategy on the accuracy of multi-atlas-based BP autosegmentation using the commercially available software package ADMIRE® and to determine the optimal number of selected atlases to use. Autosegmentation accuracy was measured by comparing all generated automatic BP segmentations with anatomically validated gold standard segmentations that were developed using cadavers. Twelve cadaver computed tomography (CT) atlases were included in the study. One atlas was selected as a patient in ADMIRE®, and multi-atlas-based BP autosegmentation was first performed with a group of morphometrically preselected atlases. In this group, the atlases were selected on the basis of similarity in the shoulder protraction position with the patient. The number of selected atlases used started at two and increased up to eight. Subsequently, a group of randomly chosen, non-selected atlases were taken. In this second group, every possible combination of 2 to 8 random atlases was used for multi-atlas-based BP autosegmentation. For both groups, the average Dice similarity coefficient (DSC), Jaccard index (JI) and Inclusion index (INI) were calculated, measuring the similarity of the generated automatic BP segmentations and the gold standard segmentation. Similarity indices of both groups were compared using an independent sample t-test, and the optimal number of selected atlases was investigated using an equivalence trial. For each number of atlases, average similarity indices of the morphometrically selected atlas group were significantly higher than the random group (p < 0,05). In this study, the highest similarity indices were achieved using multi-atlas autosegmentation with 6 selected atlases (average DSC = 0,598; average JI = 0,434; average INI = 0,733). Morphometric atlas selection on the basis of the protraction position of the patient significantly improves multi-atlas-based BP autosegmentation accuracy

  16. A Scheme of Read-Out Organization for the ATLAS High-Level Triggers and DAQ based on ROB Complexes

    CERN Document Server

    Calvet, D; Huet, M; Mandjavidze, I D

    1999-01-01

    This paper describes a possible organization of the ATLAS High-LevelTriggers and DAQ read-out system downstream the Read-Out Drivers. Itis based on the ROB Complex concept which assumes that each read-outunit is formed by several input buffer modules sharing a networkinterface to a common Trigger/DAQ data collection network. Animplementation of such ROB Complex based on PCI bus to connectread-out buffers, a control processor and a network interface cardis presented. The total number of ROB Complexes required for ATLAS,as well as the number of CompactPCI crates housing them are estimated.The results obtained from measurements on a ROB Complex prototypeintegrated in the ATLAS Level 2 Trigger ATM Testbed are given. Thefeasibility of some data preprocessing within a ROB Complex is shown.

  17. ATLAS Detector Interface Group

    CERN Multimedia

    Mapelli, L

    Originally organised as a sub-system in the DAQ/EF-1 Prototype Project, the Detector Interface Group (DIG) was an information exchange channel between the Detector systems and the Data Acquisition to provide critical detector information for prototype design and detector integration. After the reorganisation of the Trigger/DAQ Project and of Technical Coordination, the necessity to provide an adequate context for integration of detectors with the Trigger and DAQ lead to organisation of the DIG as one of the activities of Technical Coordination. Such an organisation emphasises the ATLAS wide coordination of the Trigger and DAQ exploitation aspects, which go beyond the domain of the Trigger/DAQ project itself. As part of Technical Coordination, the DIG provides the natural environment for the common work of Trigger/DAQ and detector experts. A DIG forum for a wide discussion of all the detector and Trigger/DAQ integration issues. A more restricted DIG group for the practical organisation and implementation o...

  18. Diphoton searches in ATLAS

    CERN Document Server

    Delmastro, Marco; The ATLAS collaboration

    2016-01-01

    Searches for new resonances decaying into two photons in the ATLAS experiment at the LHC are described. The analysis is based on $pp$ collision data corresponding to an integrated luminosity of 3.2 fb$^{-1}$ at $\\sqrt{s}$ = 13 TeV recorded in 2015. Two different searches are performed, one targeted for a spin-2 particle, using Randall-Sundrum graviton states as a benchmark model, and one optimized for a spin-0 particle. The most significant deviation from the background predictions is observed at a diphoton invariant mass around 750 GeV with local significances of 3.6 and 3.9 standard deviations in the searches optimized for a spin-2 and spin-0 particle, respectively. The global significances are estimated to be 1.8 and 2.0 standard deviations. The consistency between the data collected at 13 TeV and 8 TeV is also evaluated. Limits on the production cross-section for the two benchmark resonances are reported.

  19. ATLAS Tau Trigger

    CERN Document Server

    Belanger-Champagne, C; Bosman, M; Brenner, R; Casado, MP; Czyczula, Z; Dam, M; Demers, S; Farrington, S; Igonkina, O; Kalinowski, A; Kanaya, N; Osuna, C; Pérez, E; Ptacek, E; Reinsch, A; Saavedra, A; Sopczak, A; Strom, D; Torrence, E; Tsuno, S; Vorwerk, V; Watson, A; Xella, S

    2008-01-01

    Moving to the high energy scale of the LHC, the identification of tau leptons will become a necessary and very powerful tool, allowing a discovery of physics beyond Standard Model. Many models, among them light SM Higgs and various SUSY models, predict an abundant production of taus with respect to other leptons. The reconstruction of hadronic tau decays, although a very challenging task in hadronic enviroments, allows to increase a signal efficiency by at least of factor 2, and provides an independent control sample to disantangle lepton tau decays from prompt electrons and muons. Thanks to the advanced calorimetry and tracking, the ATLAS experiment has developed tools to efficiently identify hadronic taus at the trigger level. In this presentation we will review the characteristics of taus and the methods to suppress low-multiplicity, low-energy jets contributions as well as we will address the tau trigger chain which provide a rejection rate of 10^5. We will further present plans for commissioning the ATLA...

  20. Electroweak Physics at ATLAS

    CERN Document Server

    Conti, G; The ATLAS collaboration

    2012-01-01

    Various electroweak measurements have already been performed at ATLAS since the start of the LHC. These allow for precision tests of the electroweak dynamics of the Standard Model, but also challenge next-to-next-to-leading-order predictions. Differences between measurements and SM predictions could prove evidence for new phenomena. A review of the latest results in W/Z and diboson physics will be given. Those consist of the measurement of the high-mass drell-yan differential cross section, the Wb(b) production cross section and the study of the transverse momentum of the Z/$\\gamma*$ using the $\\phi*$ variable, with 5fb$^{-1}$ of 2011 data. The latest diboson WW, WZ, ZZ, W$\\gamma$ and Z$\\gamma$ production cross sections will be summarized, including new WW and ZZ results. In particular, the ZZ* channel has been added. The diboson processes are an important source of background to Higgs production decaying into vector boson pairs, such as H$\\rightarrow$WW and H$\\rightarrow$ZZ, and also to other new physics pro...

  1. ATLAS TRT 2002 Workshop

    CERN Multimedia

    Capeans, M.

    Starting on 17th May, the ATLAS TRT 2002 Workshop was organised by Ken MacFarlane and his team at Hampton University, Virginia, USA. During a welcome break in the very dense workshop programme, the group enjoyed a half-day long boat trip along the waterways, offering a first-hand look at the history and heritage of this part of America. The attendance during the six-day workshop was about 50 people representing most of the collaborating institutes, although many Russian colleagues had stayed in their institutes to pursue the start-up of end-cap wheel production at PNPI and DUBNA. The meeting clearly showed that, during the year 2002, the TRT community is focusing on final design issues and module/wheel construction, while moving at the same time towards acceptance testing and integration, including the front-end electronics. The two main topics treated at the workshop were the preparation for beginning full production of the FE electronics, and the wire-joint problem that the US barrel colleagues have been fa...

  2. The ATLAS semiconductor tracker

    CERN Document Server

    Mikuz, Marko

    2003-01-01

    The ATLAS Semiconductor Tracker (SCT) is presented. About 16000 silicon micro-strip sensors with a total active surface of over 60 m **2 and with 6.3 million read-out channels are built into 4088 modules arranged into four barrel layers and nine disks covering each of the forward regions up to an eta of 2.5. Challenges are imposed by the hostile radiation environment with particle fluences up to 2 multiplied by 10**1**4 cm**-**2 1 MeV neutron NIEL equivalent and 100 kGy TID, the 25 ns LHC bunch crossing time and the need for a hermetic, lightweight tracker. The solution adopted is carefully designed strip detectors operated at -7 degree C, biased up to 500 V and read out by binary radhard fast BiCMOS electronics. A zero-CTE carbon fibre structure provides mechanical support. 30 kW of power are supplied on aluminiutn/Kapton tapes and cooled by C//3F//8 evaporative cooling. Data and commands are transferred by optical links. Prototypes of detector modules have been built, irradiated to the maximum expected flue...

  3. ATLAS Muon Endcap Alignment

    CERN Document Server

    Bensinger, J R

    2005-01-01

    To align the endcap muon chambers of the ATLAS experiment, an optical grid is set up between aluminum “alignment bars” nested in each layer of chambers. Optical lines are made of laser diodes and CCD cameras that form an alignment grid. The alignment bars are self-aligning. They are then carefully measured using a large coordinate measuring machine (CMM). The subsequent shape changes of the bar are determined by calculations that are corrected by the readings of the internal monitors. The relationship between the bars is then established by a network of sensors that measure the bearing angle of light sources on the other parts of the system. The system is over-determined and the location and orientation of each bar is determined using a fitting program. Chambers are then referenced to the alignment grid using proximity sensors. This information is used to provide corrections to the nominal chamber positions before calculating track momentum. The performance of the system has been validated in a test beam ...

  4. The constellation observing Atlas

    CERN Document Server

    Privett, Grant

    2013-01-01

    Designed for anyone who wishes to learn the constellations or observe the best and brightest deep sky objects and double stars, this book contains an alphabetical list of constellations complete with star maps, historical background, and highlights of deep sky objects. Each entry contains position and physical information on enough stars to support astronomers in star-hopping, swinging the telescope from star to star to star to arrive at a faint target. It provides a carefully selected list of accessible and rewarding deep sky objects. Full-color maps show the constellations, with star types (spectral and physical) indicated by the colors used on the map. Extended objects such as galaxies and nebulae are shown with the approximate apparent size in the sky. With unmatched thoroughness and accessibility, this is a constellation atlas that makes the ideal companion to a night's telescope viewing, for novices and expert amateur astronomers alike. Easy to navigate and refer to, it is the key that unlocks the do...

  5. ATLAS Strip Upgrade

    CERN Document Server

    Bernabeu, J; The ATLAS collaboration

    2012-01-01

    A phased upgrade of the Large Hadron Collider (LHC) at CERN is planned. The last upgrade phase (HL-LHC) is currently foreseen in 2022-2023. It aims to increase the integrated luminosity to about ten times the original LHC design luminosity. To cope with the harsh conditions in terms of particle rates and radiation dose expected during HL-LHC operation, the ATLAS collaboration is developing technologies for a complete tracker replacement. This new detector will need to provide extreme radiation hardness and a high granularity, within the tight constraints imposed by the existing detectors and their services. An all-silicon high granularity tracking detector is proposed. An international R&D collaboration is working on the strip layers for this new tracker. A number of large area prototype planar detectors produced on p-type wafers have been designed and fabricated for use at HL-LHC. These prototype detectors and miniature test detectors have been irradiated to a set of fluences matched to HL-LHC expectatio...

  6. ATLAS Strip Upgrade

    CERN Document Server

    Bernabeu, J; The ATLAS collaboration

    2012-01-01

    A phased upgrade of the Large Hadron Collider (LHC) at CERN is planned. The last upgrade phase (HL-LHC) is currently foreseen in 2022-2023. It aims to increase the integrated luminosity to about ten times the original LHC design luminosity. To cope with the harsh conditions in terms of particle rates and radiation dose expected during HL-LHC operation, the ATLAS collaboration is developing technologies for a complete tracker replacement. This new detector will need to provide extreme radiation hardness and a high granularity, within the tight constraints imposed by the existing detectors and their services. An all-silicon high-granularity tracking detector is proposed. An international R&D collaboration is working on the strip layers for this new tracker. A number of large area prototype planar detectors produced on p-type wafers have been designed and fabricated for use at HL-LHC. These prototype detectors and miniature test detectors have been irradiated to a set of fluences matched to HL-LHC expectatio...

  7. ATLAS Data Challenge 1

    CERN Document Server

    DC1 TaskForce

    2003-01-01

    The ATLAS Collaboration at CERN is preparing for the data taking and analysis at LHC that will start in 2007. Therefore, in 2002 a series of Data Challenges (DC's) was started whose goals are the validation of the Computing Model, of the complete software suite, of the data model, and to ensure the correctness of the technical choices to be made. A major feature of the first Data Challenge (DC1) was the preparation and the deployment of the software required for the production of large event samples for the High Level Trigger and Physics communities, and the production of those large data samples as a worldwide distributed activity. It should be noted that it was not an option to "run everything at CERN" even if we had wanted to; the resources were not available at CERN to carry out the production on a reasonable time-scale. We were therefore faced with the great challenge of organising and then carrying out this large-scale production at a significant number of sites around the world. However, the benefits o...

  8. The Scalable Brain Atlas: instant web-based access to public brain atlases and related content

    OpenAIRE

    Bakker, R.; Tiesinga, P.; Kotter, R.

    2013-01-01

    The Scalable Brain Atlas (SBA) is a collection of web services that provide unified access to a large collection of brain atlas templates for different species. Its main component is an atlas viewer that displays brain atlas data as a stack of slices in which stereotaxic coordinates and brain regions can be selected. These are subsequently used to launch web queries to resources that require coordinates or region names as input. It supports plugins which run inside the viewer and respond when...

  9. Radiography atlas of domestic animals

    International Nuclear Information System (INIS)

    The 370 radiographs presented in the atlas together with notes and explanations give information on normal roentgenographic findings, physiological variations, and important pathological findings observed in small mammals, birds, reptilia and amphibia. Introductory notes to each chapter explain the principles of exposure techniques and the handling of the animals. (VHE)

  10. ATLAS Fast Tracker Simulation Challenges

    CERN Document Server

    Adelman, Jahred; The ATLAS collaboration; Borodin, Mikhail; Chakraborty, Dhiman; García Navarro, José Enrique; Golubkov, Dmitry; Kama, Sami; Panitkin, Sergey; Smirnov, Yuri; Stewart, Graeme; Tompkins, Lauren; Vaniachine, Alexandre; Volpi, Guido

    2015-01-01

    To deal with Big Data flood from the ATLAS detector most events have to be rejected in the trigger system. the trigger rejection is complicated by the presence of a large number of minimum-bias events – the pileup. To limit pileup effects in the high luminosity environment of the LHC Run-2, ATLAS relies on full tracking provided by the Fast TracKer (FTK) implemented with custom electronics. The FTK data processing pipeline has to be simulated in preparation for LHC upgrades to support electronics design and develop trigger strategies at high luminosity. The simulation of the FTK - a highly parallelized system - has inherent performance bottlenecks on general-purpose CPUs. To take advantage of the Grid Computing power, the FTK simulation is integrated with Monte Carlo simulations at the Production System level above the ATLAS workload management system PanDA. We report on ATLAS experience with FTK simulations on the Grid and next steps for accommodating the growing requirements for resources during the LHC R...

  11. New ATLAS Higgs physics results

    CERN Document Server

    CERN. Geneva

    2014-01-01

    New Higgs physics results from the ATLAS experiment using the full Run-1 LHC dataset, corresponding to an integrated luminosity of approximately 25 fb-1, of proton-proton collisions at 7 TeV and 8 TeV, will be presented.

  12. New Physics Searches with ATLAS

    Directory of Open Access Journals (Sweden)

    Serhan Mete Alaettin

    2014-04-01

    Full Text Available Highlights from new physics searches with the ATLAS detector at the CERN Large Hadron Collider are presented. Results are based on the analysis of data collected in pp collisions at a center-of-mass energy of 7 TeV corresponding to integrated luminosities of 1-5 fb−1. No excess beyond the Standard Model expectations is observed.

  13. A Lego version of ATLAS

    CERN Multimedia

    Laëtitia Pedroso

    2010-01-01

    There's nothing very unusual about a small child making simple objects out of Lego. But wouldn't you be surprised to learn that one six-year old has just made a life-like model of the ATLAS detector?   Bastian with his Lego ATLAS detector. © Photo provided by Kai Nicklas, Bastian's father. It all began a month ago when the boy's father was watching a video about the construction of the ATLAS detector on the Internet. He hadn't noticed that his son was watching it over his shoulder. The small boy was fascinated by what he was seeing on the computer screen and his first reaction was to exclaim: "Wow! That's a terrific machine! I think the people who built it must be really clever." The detector must have really fired his imagination because, after asking his father a few questions, he decided to make a Lego model of it. Look at the photo and you will see how closely the model he produced resembles the actual ATLAS detector. Is the little boy in question, Bastia...

  14. The ATLAS semiconductor tracker (SCT)

    CERN Document Server

    Jackson, J N

    2005-01-01

    The ATLAS detector (CERN/LHCC/94-43 (1994)) is designed to study a wide range of physics at the CERN Large Hadron Collider (LHC) at luminosities up to 10**3**4 cm**-**2 s**-**1 with a bunch-crossing rate of 40 MHz. The Semiconductor Tracker (SCT) forms a key component of the Inner Detector (vol. 1, ATLAS TDR 4, CERN/LHCC 97-16 (1997); vol. 2, ATLAS TDR 5, CERN/LHCC 97-17 (1997)) which is situated inside a 2 T solenoid field. The ATLAS Semiconductor Tracker (SCT) utilises 4088 silicon modules with binary readout mounted on carbon fibre composite structures arranged in the forms of barrels in the central region and discs in the forward region. The construction of the SCT is now well advanced. The design of the SCT modules, services and support structures will be briefly outlined. A description of the various stages in the construction process will be presented with examples of the performance achieved and the main difficulties encountered. Finally, the current status of the construction is reviewed.

  15. ATLAS Civil Engineering Point 1

    CERN Multimedia

    Jean-Claude Vialis

    1998-01-01

    Different phases of the PX 15 realisation to Point 1: zone of the ATLAS experiment 19-11-1998 Realisation of the Walkway for PX 15 and the putting up scaffolds 15-01-1999 Film from the surface of Point 1 and descent in the well of PX 15

  16. ATLAS Assembly Hall Open Day

    CERN Multimedia

    Patrice Loiez

    2004-01-01

    To mark the 50th Anniversary of the founding of CERN, a day of tours, displays and presentations was held in October 2004. The assembly halls for the experiments that were waiting to be installed on the LHC, such as ATLAS shown here, were transformed into display areas and cafés.

  17. ATLAS Civil Engineering Point 1

    CERN Multimedia

    2000-01-01

    Different phases of realisation to Point 1: zone of the ATLAS experiment 18-10-2000 UX 15 cavern and PX16 15-12-2000 USA 15 - UX 15 concreting the arch 14-02-2001 UX 15 - ancrages, isolation and scaffolding

  18. Elliptic flow phenomenon at ATLAS

    OpenAIRE

    Spousta, Martin

    2014-01-01

    We summarize measurements of elliptic flow and higher order flow harmonics performed by the ATLAS experiment at the LHC. Results on event-averaged flow measurements and event-plane correlations in Pb+Pb collisions are discussed along with the event-by-event flow measurements. Further, we summarize results on flow in p+Pb collisions.

  19. ATLAS: Now under new management

    CERN Multimedia

    Katarina Anthony

    2013-01-01

    On 1 March, the ATLAS Collaboration welcomed a new spokesperson, Dave Charlton (University of Birmingham), and two new deputy spokespersons, Thorsten Wengler (CERN) and Beate Heinemann (University of California, Berkeley and LBNL). The Bulletin takes a look at what’s in store for one of the world’s largest scientific collaborations.   ATLAS members at the 2010 collaboration meeting in Copenhagen. Image: Rune Johansen and Troels Petersen. ATLAS spokesperson Dave Charlton has seen the collaboration through countless milestones: from construction to start-up to the 4 July 2012 announcement, he’s been an integral part of the team. Now, after twelve years with the collaboration, Dave is moving into the main office for the next two years. “2012 was a landmark year for ATLAS,” says Dave. “We spent a lot of time in the limelight and, in many ways, all eyes are still on us. But with the shutdown now under way, our focus is ...

  20. The ATLAS Distributed Analysis System

    CERN Document Server

    Legger, F; The ATLAS collaboration; Pacheco Pages, A; Stradling, A

    2013-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters ...

  1. The ATLAS Distributed Analysis System

    CERN Document Server

    Legger, F; The ATLAS collaboration

    2014-01-01

    In the LHC operations era, analysis of the multi-petabyte ATLAS data sample by globally distributed physicists is a challenging task. To attain the required scale the ATLAS Computing Model was designed around the concept of grid computing, realized in the Worldwide LHC Computing Grid (WLCG), the largest distributed computational resource existing in the sciences. The ATLAS experiment currently stores over 140 PB of data and runs about 140,000 concurrent jobs continuously at WLCG sites. During the first run of the LHC, the ATLAS Distributed Analysis (DA) service has operated stably and scaled as planned. More than 1600 users submitted jobs in 2012, with 2 million or more analysis jobs per week, peaking at about a million jobs per day. The system dynamically distributes popular data to expedite processing and maximally utilize resources. The reliability of the DA service is high but steadily improving; grid sites are continually validated against a set of standard tests, and a dedicated team of expert shifters ...

  2. Dark matter searches at ATLAS

    CERN Document Server

    Gramling, Johanna; The ATLAS collaboration

    2016-01-01

    Compelling astrophysical evidence for dark matter makes it important and interesting to look for signatures of missing energies at the LHC. This talk presents the different searches carried out with the ATLAS detector at the LHC, and there results and interpretations in the context of dark matter production.

  3. Startup Test Report of ATLAS

    International Nuclear Information System (INIS)

    This report describes the startup test result of the ATLAS, which is the thermal-hydraulic integral effect test facility of KAERI. The performance results of the ATLAS, which is designed to simulate various accident and transient conditions of APR1400 and OPR1000 at prototypic pressure and temperature conditions, were described in this report. Flushing, hydro/leakage test, and operating test for unit equipment showed that the facility can be operated properly with minor modifications to fix some errors found in those tests. Performance test for pre-insulated pressurizer, operation test for core heater, heatup operation for pre-insulated primary/secondary system, performance test for pressurizer completely equipped with insulation, preliminary SBLOCA tests with heatup and cooldown operation were performed and showed that the ATLAS can be operated properly in the view point of system level and integral aspects. The final integral test showed that the ATLAS can be operated properly during the heatup/cooldown operation and the 5 mm-SBLOCA test

  4. Inside the ATLAS solenoid cryostat

    CERN Multimedia

    Claudia Marcelloni

    2006-01-01

    Scientists are seen working on the inside of the ATLAS cryostat, which will be used to cool liquid argon to 90 K in the electromagnetic calorimeter. Thin lead plates immersed in the cooled liquid will produce electromagnetic showers of particles when an electron, positron or photon enter the detector. This causes the argon to glow, allowing the initial particle energy to be measured.

  5. Event selection services in ATLAS

    International Nuclear Information System (INIS)

    ATLAS has developed and deployed event-level selection services based upon event metadata records (''TAGS'') and supporting file and database technology. These services allow physicists to extract events that satisfy their selection predicates from any stage of data processing and use them as input to later analyses. One component of these services is a web-based Event-Level Selection Service Interface (ELSSI). ELSSI supports event selection by integrating run-level metadata, luminosity-block-level metadata (e.g., detector status and quality information), and event-by-event information (e.g., triggers passed and physics content). The list of events that survive after some selection criterion is returned in a form that can be used directly as input to local or distributed analysis; indeed, it is possible to submit a skimming job directly from the ELSSI interface using grid proxy credential delegation. ELSSI allows physicists to explore ATLAS event metadata as a means to understand, qualitatively and quantitatively, the distributional characteristics of ATLAS data. In fact, the ELSSI service provides an easy interface to see the highest missing ET events or the events with the most leptons, to count how many events passed a given set of triggers, or to find events that failed a given trigger but nonetheless look relevant to an analysis based upon the results of offline reconstruction, and more. This work provides an overview of ATLAS event-level selection services, with an emphasis upon the interactive Event-Level Selection Service Interface.

  6. Performance of the ATLAS Inner Tracker

    CERN Document Server

    Marti-Garcia, S; The ATLAS collaboration

    2011-01-01

    ATLAS is a one of the four multipurpose experiments that records the products of the LHC proton-proton collisions at the LHC. In order to reconstruct the trajectories of charged particles, ATLAS is equipped, among others, with an inner charged particle tracking system built on two different technologies on silicon planar sensors (pixel and microstrips) plus drift-tube based detectors, all embedded in a 2 T solenoidal field. In order to achieve its scientific goals, ATLAS has quite demanding tracking performance requirements. Therefore, ATLAS is equipped, among others, with a charged particle tracking system built on two different technologies: silicon planar sensors and drift-tube based detectors constituting the ATLAS Inner Detector (ID). The ATLAS ID consists of about 6000 modules in its Silicon Tracker combined with several hundred drift tube based detector modules. The silicon modules use both technologies: pixel and microstrip. Pixel modules determine the position of passing particle tracks with an accur...

  7. Commissioning of the ATLAS Pixel Detector

    OpenAIRE

    Golling, Tobias; ATLAS Collaboration

    2008-01-01

    The ATLAS pixel detector is a high precision silicon tracking device located closest to the LHC interaction point. It belongs to the first generation of its kind in a hadron collider experiment. It will provide crucial pattern recognition information and will largely determine the ability of ATLAS to precisely track particle trajectories and find secondary vertices. It was the last detector to be installed in ATLAS in June 2007, has been fully connected and tested in-situ during spring and su...

  8. Mindboggle: Automated brain labeling with multiple atlases

    International Nuclear Information System (INIS)

    To make inferences about brain structures or activity across multiple individuals, one first needs to determine the structural correspondences across their image data. We have recently developed Mindboggle as a fully automated, feature-matching approach to assign anatomical labels to cortical structures and activity in human brain MRI data. Label assignment is based on structural correspondences between labeled atlases and unlabeled image data, where an atlas consists of a set of labels manually assigned to a single brain image. In the present work, we study the influence of using variable numbers of individual atlases to nonlinearly label human brain image data. Each brain image voxel of each of 20 human subjects is assigned a label by each of the remaining 19 atlases using Mindboggle. The most common label is selected and is given a confidence rating based on the number of atlases that assigned that label. The automatically assigned labels for each subject brain are compared with the manual labels for that subject (its atlas). Unlike recent approaches that transform subject data to a labeled, probabilistic atlas space (constructed from a database of atlases), Mindboggle labels a subject by each atlas in a database independently. When Mindboggle labels a human subject's brain image with at least four atlases, the resulting label agreement with coregistered manual labels is significantly higher than when only a single atlas is used. Different numbers of atlases provide significantly higher label agreements for individual brain regions. Increasing the number of reference brains used to automatically label a human subject brain improves labeling accuracy with respect to manually assigned labels. Mindboggle software can provide confidence measures for labels based on probabilistic assignment of labels and could be applied to large databases of brain images

  9. Inauguration of the ATLAS cavern, June 2003.

    CERN Multimedia

    Maximilien Brice

    2003-01-01

    Before the inauguration, Pascal Couchepin visited the ATLAS cavern. From left to right: Peter Jenni, ATLAS spokesman; Maurice Bourquin, President of the CERN Council; Carlo Lamprecht, State councillor, Canton of Geneva; Pascal Couchepin, President of the Swiss Confederation; Luciano Maiani, CERN Director-General; Marzio Nessi, ATLAS technical coordinator; Arturo Henniger, ZSCHOKKE-LOCHER AG Director; Benno Baettig, personal advisor of President Couchepin; Jean-Luc Baldy, head of CERN Civil Engineering Group.

  10. Towards multimodal atlases of the human brain

    OpenAIRE

    Toga, Arthur W.; Thompson, Paul M.; Mori, Susumu; Amunts, Katrin; Zilles, Karl

    2006-01-01

    Atlases of the human brain have an important impact on neuroscience. The emergence of ever more sophisticated imaging techniques, brain mapping methods and analytical strategies has the potential to revolutionize the concept of the brain atlas. Atlases can now combine data describing multiple aspects of brain structure or function at different scales from different subjects, yielding a truly integrative and comprehensive description of this organ. These integrative approaches have provided si...

  11. Damage Atlas for Photographic materials

    Directory of Open Access Journals (Sweden)

    Kristel Van Camp

    2010-11-01

    Full Text Available La conservation des documents photographiques peut nécessiter des interventions préventives ou curatives. Ce choix est guidé par leur état de conservation. Une meilleure connaissance des détériorations est donc cruciale. Le répertoire présenté ici essaie de les classifier selon des caractéristiques spécifiques et leur niveau de gravité. Les différents types de dégradation sont illustrés et décrits avec une terminologie précise. L’auteur propose en regard de ceux-ci l’intervention qui semble la plus appropriée. Ce répertoire s’adresse à toutes les personnes concernées par la photographie, qu’ils soient dans le milieu de la conservation ou dans le domaine artistique, dans les musées ou dans les archives. In order to rescue a damaged photographic object, preventive or conservative actions are needed. Knowing the specific characteristics of different types of damage is crucial. A damage atlas can provide these characteristics. With this atlas the damage can be recognised and appropriate actions can be taken. This damage atlas offers a first attempt to such a characterisation in the field of photography. The damage atlas contains images and the necessary information about damage on photographic material. The atlas with special annotations about the terminology and the grade of the damage is meant for everybody who works with photographic material, as well in museums as in archives.

  12. Enhancement of the ATLAS Trigger System with a Hardware Tracker Finder FTK

    CERN Document Server

    Zhang, J; Andreazza, A; Annovi, A; Beretta, M; Bevacqua, V; Bogdan, M; Bossini, E; Boveia, A; Canelli, F; Cheng, Y; Citterio, M; Crescioli, F; Dell'Orso, M; Drake, G; Dunford, M; Genat, J F; Giannetti, P; Giorgi, F; Hoff, J; Kapliy, A; Kasten, M; Kim, Y K; Kimura, N; Lanza, A; Liberali, V; Liu, T; McCarn, A; Melachrinos, C; Meroni, C; Negri, A; Neubauer, M; Piendibene, M; Proudfoot, J; Punzi, G; Riva, M; Sabatini, F; Sacco, I; Sartori, L; Shochet, M; Stabile, A; Tang, F; Todri, A; Tripiccione, R; Tuccle, J; Vercesi, V; Villa, M; Vitullo, R A; Volpi, G; Wu, J; Yorita, K

    2010-01-01

    The existing three-level ATLAS trigger system is deployed to reduce the event rate from the bunch crossing rate of 40 MHz to ~200 Hz for permanent storage at the LHC design luminosity of 10^34 cm^-2 s^-1. When the LHC reaches beyond the design luminosity, the load on the Level-2 trigger system will significantly increase due to both the need for more sophisticated algorithms to suppress background and the larger event sizes. The Fast Tracker is a proposed upgrade to the current ATLAS trigger system that will operate at the full Level-1 accepted rate of 100 KHz and provide high quality tracks at the beginning of processing in the Level-2 trigger, by performing track reconstruction in hardware with massive parallelism of associative memories. The system design is being advanced and justified with the performance in important physics areas, b-tagging, τ-tagging and lepton isolation. The system requirement and capability are being evaluated with the ATLAS Monte Carlo simulation at different LHC luminosities. The...

  13. Glance Information System for ATLAS Management

    Science.gov (United States)

    Grael, F. F.; Maidantchik, C.; Évora, L. H. R. A.; Karam, K.; Moraes, L. O. F.; Cirilli, M.; Nessi, M.; Pommès, K.; ATLAS Collaboration

    2011-12-01

    ATLAS Experiment is an international collaboration where more than 37 countries, 172 institutes and laboratories, 2900 physicists, engineers, and computer scientists plus 700 students participate. The management of this teamwork involves several aspects such as institute contribution, employment records, members' appointment, authors' list, preparation and publication of papers and speakers nomination. Previously, most of the information was accessible by a limited group and developers had to face problems such as different terminology, diverse data modeling, heterogeneous databases and unlike users needs. Moreover, the systems were not designed to handle new requirements. The maintenance has to be an easy task due to the long lifetime experiment and professionals turnover. The Glance system, a generic mechanism for accessing any database, acts as an intermediate layer isolating the user from the particularities of each database. It retrieves, inserts and updates the database independently of its technology and modeling. Relying on Glance, a group of systems were built to support the ATLAS management and operation aspects: ATLAS Membership, ATLAS Appointments, ATLAS Speakers, ATLAS Analysis Follow-Up, ATLAS Conference Notes, ATLAS Thesis, ATLAS Traceability and DSS Alarms Viewer. This paper presents the overview of the Glance information framework and describes the privilege mechanism developed to grant different level of access for each member and system.

  14. Glance Information System for ATLAS Management

    International Nuclear Information System (INIS)

    ATLAS Experiment is an international collaboration where more than 37 countries, 172 institutes and laboratories, 2900 physicists, engineers, and computer scientists plus 700 students participate. The management of this teamwork involves several aspects such as institute contribution, employment records, members' appointment, authors' list, preparation and publication of papers and speakers nomination. Previously, most of the information was accessible by a limited group and developers had to face problems such as different terminology, diverse data modeling, heterogeneous databases and unlike users needs. Moreover, the systems were not designed to handle new requirements. The maintenance has to be an easy task due to the long lifetime experiment and professionals turnover. The Glance system, a generic mechanism for accessing any database, acts as an intermediate layer isolating the user from the particularities of each database. It retrieves, inserts and updates the database independently of its technology and modeling. Relying on Glance, a group of systems were built to support the ATLAS management and operation aspects: ATLAS Membership, ATLAS Appointments, ATLAS Speakers, ATLAS Analysis Follow-Up, ATLAS Conference Notes, ATLAS Thesis, ATLAS Traceability and DSS Alarms Viewer. This paper presents the overview of the Glance information framework and describes the privilege mechanism developed to grant different level of access for each member and system.

  15. Atlas SOHO Booster and Centaur Erection

    Science.gov (United States)

    1995-01-01

    The launch vehicle for the Solar Heliospheric Observatory (SOHO) mission is a two stage Atlas-IIAS (Atlas/Centaur). The Atlas, consists of a solid rocket booster stage powered by four Thiokol Castor IVA solid rocket boosters (SRB) and a core vehicle stage (booster and sustainer) powered by Rocketdyne MA-5A liquid propellant engines (RP-1 fuel and liquid oxygen). The multiple firing Centaur is powered by two Pratt and Whitney (RL10A-4) liquid hydrogen and liquid oxygen engines with extendible nozzles. This video shows the erection of the Atlas booster and transportation (to 36-B launching pad) and erection of the Centaur.

  16. Commissioning of the ATLAS pixel detector

    Energy Technology Data Exchange (ETDEWEB)

    ATLAS Collaboration; Golling, Tobias

    2008-09-01

    The ATLAS pixel detector is a high precision silicon tracking device located closest to the LHC interaction point. It belongs to the first generation of its kind in a hadron collider experiment. It will provide crucial pattern recognition information and will largely determine the ability of ATLAS to precisely track particle trajectories and find secondary vertices. It was the last detector to be installed in ATLAS in June 2007, has been fully connected and tested in-situ during spring and summer 2008, and is ready for the imminent LHC turn-on. The highlights of the past and future commissioning activities of the ATLAS pixel system are presented.

  17. Commissioning of the ATLAS Level-1 Central Trigger

    CERN Document Server

    Berge, D; Ellis, N; Farthouat, P; Fischer, G; Haas, S; Haller, J; Maettig, S; Messina, A; Pauly, T; Sherman, D; Spiwoks, R

    2010-01-01

    The ATLAS Level-1 Central Trigger (L1CT) consists of the Central Trigger Processor (CTP) and the Muon to Central Trigger Processor Interface (MUCTPI). The CTP forms the final Level-1 Accept (L1A) decision based on the information received from the Level-1 Calorimeter Trigger system and from the muon trigger system through the MUCTPI. Additional inputs are provided for the forward detectors, the filled-bunch trigger, and the minimum-bias trigger scintillators. The CTP also receives timing signals from the Large Hadron Collider (LHC) machine. It fans out the L1A together with timing and control signals to the Local Trigger Processor (LTP) of the subdetectors. Via the same connections it receives the Busy signal to throttle the Level-1 generation. Upon generation of L1A the L1CT sends trigger summary information to the DAQ and Region-of-Interest to the Level-2 Trigger system. In this contribution we present an overview of the final L1CT trigger system as it is now installed in the ATLAS experiment and we describ...

  18. Performance of the ATLAS Trigger and Data-Acquisition system

    CERN Document Server

    Dobson, E

    2011-01-01

    The ATLAS Trigger and Data Acquisition (TDAQ) system cite{TriggerPerf} is responsible for reducing the event rate from the design bunch-crossing rate of 40 MHz to an average recording rate of 200 Hz. The ATLAS trigger is designed to select signal-like events from a large background in three levels: a first-level (L1) implemented in custom-built electronics, as well as the two levels of the high level trigger (HLT) software triggers executed on large computing farms.\\ indent The first-level trigger is comprised of calorimeter, muon and forward triggers to identify event features such as missing transverse energy, as well as candidate electrons, photons, jets and muons. Input signals from these objects are processed by the L1 Central Trigger to form a L1 Accept (L1A) decision. L1A and timing information is consequently sent to all sub-detectors, which push their data to DAQ buffers. The first part of the HLT system (called Level 2) pulls the data from the buffers on demand, while the second part (called Event F...

  19. Performance of the ATLAS Trigger and Data Acquisition system

    CERN Document Server

    Dobson, E; The ATLAS collaboration

    2011-01-01

    "The ATLAS Trigger and Data Acquisition (TDAQ) system is responsible for reducing the event rate from the design bunch-crossing rate of 40 MHz to an average recording rate of 200 Hz. The ATLAS trigger is designed to select signal-like events from a large background in three levels: a first-level (L1) implemented in custom-built electronics, as well as the two levels of the high level trigger (HLT) software triggers executed on large computing farms. The first-level trigger is comprised of calorimeter, muon and forward triggers to identify event features such as missing transverse energy, as well as candidate electrons, photons, jets and muons. Input signals from these objects are processed by the L1 Central Trigger to form a L1 Accept (L1A) decision. L1A and timing information is consequently sent to all sub-detectors, which push their data to DAQ buffers. The first part of the HLT system (called Level 2) pulls the data from the buffers on demand, while the second part (called Event Filter) works with the who...

  20. The ATLAS Level-1 Central Trigger System in Operation

    CERN Document Server

    Pauly, T

    2010-01-01

    The ATLAS Level-1 Central Trigger (L1CT) electronics is a central part of ATLAS data-taking. It receives the 40 MHz bunch clock from the LHC machine and distributes it to all sub-detectors. It initiates the detector read-out by forming the Level-1 Accept decision, which is based on information from the calorimeter and muon trigger processors, plus a variety of additional trigger inputs from detectors in the forward regions. The L1CT also provides trigger-summary information to the data acquisition and the Level-2 trigger systems for use in higher levels of the selection process, in offline analysis, and for monitoring. In this paper we give an overview of the operational framework of the L1CT with particular emphasis on cross-system aspects. The software framework allows a consistent configuration with respect to the LHC machine, upstream and downstream trigger processors, and the data acquisition. Trigger and dead-time rates are monitored coherently on all stages of processing and are logged by the online c...