Author: "Andrei Kazarov" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Andrei Kazarov"' showing total 29 results

Start Over Author "Andrei Kazarov"

29 results on '"Andrei Kazarov"'

1. Software Releases Management in the Trigger and Data Acquisition of Atlas Experiment - Integration, Building, Deployment, Patching.

Author: Andrei Kazarov, Mihai Caprini, Igor Soloviev, and Reiner Hauser
Published: 2010

2. Applications of Expert System Technology in the Atlas TDAQ Controls Framework.

Author: Alina Corso-Radu, Raul Murillo Garcia, Andrei Kazarov, Giovanna Lehmann Miotto, Luca Magnoni, and John Erik Sloper
Published: 2010

3. OBK - An Online High Energy Physics' Meta-Data Repository.

Author: Igor Alexandrov, António Amorim, E. Badescu, M. Barczyk, D. Burckhart-Chromek, Mihai Caprini, M. Dobson, J. Flammer, R. Hart, R. Jones, Andrei Kazarov, S. Kolos, V. Kotov, Dietrich Liko, Levi Lucio, L. Mapelli, Mikhail Mineev, L. Moneta, I. Papadopoulos, M. Nassiakou, N. Parrington, Luis Pedro, A. Ribeiro, Yu. Ryabov, D. Schweiger, Igor Soloviev, and H. Wolters
Published: 2002
Full Text: View/download PDF

4. THE CONTROLS AND CONFIGURATION SOFTWARE OF THE ATLAS DATA ACQUISITION SYSTEM FOR LHC RUN 2

Author: Gokhan Unel, Mihai Caprini, G. Lehmann Miotto, Igor Soloviev, Giuseppe Avolio, Andrei Kazarov, Alejandro Santos, A. Chitan, M. Vasile, A. Corso Radu, A. Kazymov, Mikhail Mineev, and Igor Aleksandrov
Subjects: History, Large Hadron Collider, Computer science, business.industry, computer.software_genre, Computer Science Applications, Education, Software, Upgrade, Atlas data, Operating system, business, computer, Particle Physics - Experiment
Abstract: The ATLAS experiment at the Large Hadron Collider (LHC) operated very successfully in the years 2008 to 2013, a period identified as Run 1. ATLAS achieved an overall data-taking efficiency of 94%, largely constrained by the irreducible dead-time introduced to accommodate the limitations of the detector read-out electronics. Out of the 6% dead-time only about 15% could be attributed to the central trigger and DAQ system, and out of these, a negligible fraction was due to the Control and Configuration sub-system. Despite these achievements, and in order to improve the efficiency of the whole DAQ system in Run 2 (2015-2018), the first long LHC shutdown (2013-2014) was used to carry out a complete revision of the control and configuration software. The goals were three-fold: properly accommodate additional requirements that could not be seamlessly included during steady operation of the system; re-factor software that had been repeatedly modified to include new features, thus becoming less maintainable; and seize the opportunity of modernizing software written even before Run 1, thus profiting from the rapid evolution in IT technologies. This upgrade was carried out retaining the important constraint of minimally impacting the mode of operation of the system and public APIs, in order to maximize the acceptance of the changes by the large user community. This paper presents, using a few selected examples, how the work was approached and which new technologies were introduced into the ATLAS DAQ system, and how they were performing in course of Run 2. Despite these being specific to this system, many solutions can be considered and adapted to different distributed DAQ systems.
Published: 2019

5. Experience with Shifter Assistant - an intelligent tool to help operations of ATLAS TDAQ System in LHC Run 2

Author: Alina Corso-Radu, Giuseppe Avolio, and Andrei Kazarov
Subjects: Downtime, Large Hadron Collider, Java, 010308 nuclear & particles physics, business.industry, Physics, QC1-999, ATLAS experiment, Complex event processing, computer.software_genre, 01 natural sciences, Set (abstract data type), Data acquisition, Knowledge base, 0103 physical sciences, Operating system, 010306 general physics, business, computer, Particle Physics - Experiment, computer.programming_language
Abstract: The Trigger and DAQ (TDAQ) system of the ATLAS experiment is a complex distributed computing system, composed of O(10, 000) of applications running on more than 2,500 computers. The system is operated by a crew of operators on shift. An important aspect of operations is to minimize the downtime of the system caused by runtime failures, such as human errors, unawareness or miscommunication. The paper describes recent developments in one of the intelligent TDAQ frameworks, the Shifter Assistant (SA) and summarizes the experience of it's use in operations of ATLAS during LHC Run 2. SA is a framework whose main aim is to automatize routine system checks, error detection and diagnosis, events correlations etc. in order to help the operators react to runtime problems promptly and effectively. The tool is based on CEP (Complex Event Processing) technology. It constantly processes this stream of operational events (O(100 kHz)) over a set of “directives” (or rules) in the knowledge base, producing human-oriented alerts and making shifters aware of the operational issues. More than 200 directives were developed by TDAQ and ATLAS detector experts for different domains. In this paper we also describe different types of directives which were developed in course of Run 2, and present few examples of most interesting and challenging ones, demonstrating the power of CEP for this type of applications.
Published: 2019

6. The Controls and Configuration Software of the ATLAS Data Acquisition System: evolution towards LHC Run 3

Author: Giuseppe Avolio, Matei Vasile, Alina Corso-Radu, Mikhail Mineev, Andrei Kazymov, Igor Soloviev, Igor Aleksandrov, Adrian Chitan, and Andrei Kazarov
Subjects: Large Hadron Collider, business.industry, Physics, QC1-999, Detector, ATLAS experiment, computer.software_genre, Computing and Computers, medicine.anatomical_structure, Software, Data acquisition, Atlas (anatomy), Atlas data, medicine, Operating system, Electronics, business, computer, Particle Physics - Experiment
Abstract: The ATLAS experiment at the Large Hadron Collider (LHC) op- erated very successfully in the years 2008 to 2018, in two periods identified as Run 1 and Run 2. ATLAS achieved an overall data-taking efficiency of 94%, largely constrained by the irreducible dead-time introduced to accommodate the limitations of the detector read-out electronics. Out of the 6% dead-time only about 15% could be attributed to the central trigger and DAQ system, and out of these, a negligible fraction was due to the Control and Configuration sub- system. Despite these achievements, and in order to improve even more the already excellent efficiency of the whole DAQ system in the coming Run 3, a new campaign of software updates was launched for the second long LHC shut- down (LS2). This paper presents, using a few selected examples, how the work was approached and which new technologies were introduced into the ATLAS DAQ system. Despite these being specific to this system, many solutions can be considered and adapted to different distributed DAQ systems. The ATLAS experiment at the Large Hadron Collider (LHC) operated very successfully in the years 2008 to 2018, in two periods identified as Run 1 and Run 2. ATLAS achieved an overall data-taking efficiency of 94%, largely constrained by the irreducible dead-time introduced to accommodate the limitations of the detector read-out electronics. Out of the 6% dead-time only about 15% could be attributed to the central trigger and DAQ system, and out of these, a negligible fraction was due to the Control and Configuration subsystem. Despite these achievements, and in order to improve even more the already excellent efficiency of the whole DAQ system in the coming Run 3, a new campaign of software updates was launched for the second long LHC shutdown (LS2). This paper presents, using a few selected examples, how the work was approached and which new technologies were introduced into the ATLAS Control and Configuration software. Despite these being specific to this system, many solutions can be considered and adapted to different distributed DAQ systems.
Published: 2021

7. EXPERIENCE WITH SPLUNK FOR ARCHIVING AND VISUALISATION OF OPERATIONAL DATA IN ATLAS TDAQ SYSTEM

Author: Giuseppe Avolio, A. Chitan, Andrei Kazarov, and Mikhail Mineev
Subjects: History, Web browser, Database, Computer science, Atlas (topology), business.industry, 02 engineering and technology, 021001 nanoscience & nanotechnology, computer.software_genre, 01 natural sciences, Computer Science Applications, Education, Visualization, Software, Data visualization, Data acquisition, 0103 physical sciences, Use case, Data archival, 010306 general physics, 0210 nano-technology, business, computer, Particle Physics - Experiment
Abstract: The ATLAS Trigger and Data Acquisition (TDAQ) is a large, distributed system composed of several thousands interconnected computers and tens of thousands software processes (applications). Applications produce a large amount of operational messages at the order of 10$^{4}$ messages per second, which need to be reliably stored and delivered to TDAQ operators in a quasi real-time manner, and also be available for post-mortem analysis by experts. We have selected SPLUNK, a commercial solution by Splunk Inc, as an all-in-one solution for storing different types of operational data in an indexed database, and a web-based framework for searching and presenting the indexed data and for rapid development of user-oriented dashboards accessible in a web browser. The paper describes capabilities of the Splunk framework, use cases, applications and web dashboards developed for facilitating the browsing and searching of TDAQ operational data by TDAQ operators and experts.
Published: 2017

8. Test Management Framework for the Data Acquisition of the ATLAS Experiment

Author: G. Lehmann Miotto, Gokhan Unel, Igor Soloviev, Andrei Kazarov, Giuseppe Avolio, and A. Corso Radu
Subjects: History, Data acquisition, Test management, Computer science, ATLAS experiment, Data mining, computer.software_genre, computer, Particle Physics - Experiment, Computer Science Applications, Education
Abstract: Data Acquisition (DAQ) of the ATLAS experiment is a large distributed and inhomogeneous system: it consists of thousands of interconnected computers and electronics devices that operate coherently to read out and select relevant physics data. Advanced testing and diagnostics capabilities of the TDAQ control system are a crucial feature which contributes significantly to smooth operation and fast recovery in case of the problems and, finally, to the high efficiency of the whole experiment. The base layer of the verification and diagnostic functionality is a test management framework. We have developed a flexible test management system that allows the experts to define and configure tests for different components, indicate follow-up actions to test failures and describe inter-dependencies between DAQ or detector elements. This development is based on the experience gained with the previous test system that was used during the first three years of the data taking. We discovered that more emphasis needed to be put on the flexibility and configurability of the verification and diagnostics functionality by the many people that are, each, knowledgeable and expert on individual components of the experiment. In this paper we describe the design and implementation of the test management system and also some aspects of its exploitation during the ATLAS data taking in the LHC Run 2.
Published: 2018

9. Testbeam studies of production modules of the ATLAS Tile Calorimeter

Author: Andrew White, M. J. Shochet, Claudio Santoni, J. Khramov, David Calvet, R. Lefèvre, E. Mazzoni, F. Cogswell, Jiri Dolejsi, J. Lesser, Vincenzo Cavasinni, Iacopo Vivarelli, Benedetto Gorini, Tancredi Carli, João Carvalho, Y. A. Kurochkin, A. Gupta, M.V. Castillo, M. Hurwitz, S. Maliukov, Dimitrios Fassouliotis, Gokhan Unel, Luiz Caloba, Antonio Ferrer, A. S. Cerqueira, T. Le Compte, N. P. Gollub, Hans Peter Beck, Armen Vartapetian, P. V.M. Da Silva, Yu.F. Lomakin, L. E. Price, K. Jon-And, Tamar Djobava, M. Sosebee, J. Silva, Richard Teuscher, Fukun Tang, Milos Lokajicek, Calin Alexa, C. Haeberli, Joao Saraiva, Jemal Khubua, O. Salto, Pavel Tsiareshka, S. O. Holmgren, S. Gameiro, David Francis, A. Antonaki, V. J. Guarino, Ilias Efthymiopoulos, N. D. Topilin, D. G. Underwood, Jiang Li, Evgeny Starchenko, I. Satsunkevitch, M. Gruwe, L. Tremblet, Marc Dobson, R. J. Miller, Szymon Gadomski, A. Bogush, Michal Suk, Stanislav Tokár, B. Salvachua, Stanislav Nemecek, Enrique Sanchis, J. Proudfoot, T. R. Junk, C. Bohm, Stefan Valkar, Carlos Marques, Dominique Pallin, F. S. Merritt, C. Cuenca, Tomas Davidek, Serban Constantinescu, S. Errede, M. Volpi, Maia Mosidze, F. Sarri, J. E. Pilcher, Matteo Cavalli-Sforza, R. Stanek, J. Budagov, V. M. Romanov, M. J. Oreglia, I. Jen-La Plante, Davide Costanzo, M. Joos, R. Febbraro, Alexander Solodkov, Rupert Leitner, L. Batkova, J. Santos, D. Eriksson, T. Del Prete, Pavel Starovoitov, M. Liablin, P. Roy, Polina Kuzhir, P. Shevtsov, Hrachya Hakobyan, H. Sanders, A. Maio, Christophe Clement, A. Dotti, E. Fullana, Joao Seixas, M. Simonyan, Mario David, K. Gellerstedt, M. Ramstedt, Francesco Spanò, Gerard Montarou, K. J. Anderson, V. Gilewsky, O. Norniella, Francois Vazeille, I. Fedorko, A. M. Zaitsev, Giulio Usai, C. Biscarat, Fernando Marroquim, A. Isaev, N. Shalanda, C. Ferdi, A. Lupi, X. Portell, B. Nordkvist, Ilya Korolkov, Nikos Giokaris, Vladimir Vinogradov, S. Kolos, A. Ruiz, E. Bergeaas Kuutmann, H. Khandanyan, A. Zenine, Jose Torres, Dan Pantea, J. Castelo, Ph Gris, R. Downing, Mihai Caprini, J. Pina, V. Rumiantsev, Kaushik De, C. Maidanchik, A. N. Sissakian, A. Onofre, F. Martin, Marina Cobal, Sten Hellman, P. Krivkova, B. Di Girolamo, L. Pribyl, Amir Farbin, C. Bromberg, J. Huston, A. N. Karyukhin, D. Burckhart-Chromek, V. Flaminio, L. P. Says, V. Garde, G. Lehmann, V. Boldea, Ivan Sykora, L. Nodulman, J. Pinhao, L. Miralles, A. Corso-Radu, J. Poveda, Andrei Kazarov, D. Errede, Sanda Dita, Marzio Nessi, Oleg Solovyanov, E. Higon, Petr Tas, Carlos Solans, Livio Mapelli, Martine Bosman, T. Zenis, V. Batusov, Denis Oliveira Damazio, M. Cascella, G. Schlager, Igor Soloviev, Mikhail Makouski, Yuri Kulchitsky, A. Arabidze, A. Manousakis, Carlos A. Iglesias, A. Gomes, P. Bednar, G. Blanchot, Vicente González, J.A. Valls, Irakli Minashvili, A. Henriques, C. Guicheney, Michael Haney, Irene Vichou, R. A. Richards, P. Rosnet, A. B. Fenyuk, B. Sellden, J. Petersen, Zdenek Dolezal, J. Schlereth, F. Podlyski, N.A. Russakovich, Chiara Roda, O. Gildemeister, A. G. Myagkov, M. Tylmad, V. Giakoumopoulou, P. Stavina, P. Grenier, Jörgen Sjölin, Alberto Valero, P. Adragna, M. Lembesi, V. Simaitis, A. Miagkov, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and ATLAS
Subjects: Physics, Nuclear and High Energy Physics, Range (particle radiation), Muon, Calorimeter (particle physics), Hadron calorimeter, Physics::Instrumentation and Detectors, 010308 nuclear & particles physics, Performance, Hadron, Detector, 01 natural sciences, Electromagnetic radiation, Nuclear physics, medicine.anatomical_structure, Atlas (anatomy), 0103 physical sciences, medicine, Calibration, High Energy Physics::Experiment, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Detectors and Experimental Techniques, 010306 general physics, Instrumentation
Abstract: We report test beam studies of {11\,\%} of the production ATLAS Tile Calorimeter modules. The modules were equipped with production front-end electronics and all the calibration systems planned for the final detector. The studies used muon, electron and hadron beams ranging in energy from 3~GeV to 350~GeV. Two independent studies showed that the light yield of the calorimeter was $\sim 70$~pe/GeV, exceeding the design goal by {40\,\%}. Electron beams provided a calibration of the modules at the electromagnetic energy scale. Over 200~calorimeter cells the variation of the response was {2.4\,\%}. The linearity with energy was also measured. Muon beams provided an intercalibration of the response of all calorimeter cells. The response to muons entering in the ATLAS projective geometry showed an RMS variation of 2.5\,\% for 91~measurements over a range of rapidities and modules. The mean response to hadrons of fixed energy had an RMS variation of {1.4\,\%} for the modules and projective angles studied. The response to hadrons normalized to incident beam energy showed an {8\,\%} increase between 10~GeV and 350~GeV, fully consistent with expectations for a non-compensating calorimeter. The measured energy resolution for hadrons of $\sigma/E = 52.9\,\%/\sqrt{E} \oplus 5.7\,\%$ was also consistent with expectations. Other auxiliary studies were made of saturation recovery of the readout system, the time resolution of the calorimeter an d the performance of the trigger signals from the calorimeter.
Published: 2009

10. A Validation System for the Complex Event Processing Directives of the ATLAS Shifter Assistant Tool

Author: Igor Soloviev, G. Lehmann Miotto, G. Anders, Alejandro Santos, Andrei Kazarov, and Giuseppe Avolio
Subjects: History, Engineering, Testing and validation environment, Atlas (topology), business.industry, Data stream mining, Complex event processing, Ciencias Informáticas, Física, Complex Event Processing, ATLAS, computer.software_genre, Computer Science Applications, Education, Data acquisition, Order (business), Programming paradigm, Data mining, Software engineering, business, computer, Particle Physics - Experiment
Abstract: Complex Event Processing (CEP) is a methodology that combines data from many sources in order to identify events or patterns that need particular attention. It has gained a lot of momentum in the computing world in the past few years and is used in ATLAS to continuously monitor the behaviour of the data acquisition system, to trigger corrective actions and to guide the experiment's operators. This technology is very powerful, if experts regularly insert and update their knowledge about the system's behaviour into the CEP engine. Nevertheless, writing or modifying CEP rules is not trivial since the used programming paradigm is quite different with respect to what developers are normally familiar with. In order to help experts verify that the rules work as expected, we have thus developed a complete testing and validation environment. This system consists of three main parts: the first is the data reader from existing storage of all relevant data streams that are produced during data taking, the second is a playback tool that allows to re-inject data of specific data taking sessions from the past into the CEP engine, and the third is a reporting tool that shows the output that the rules loaded into the engine would have produced in the live system. In this paper we describe the design and implementation of this validation system, highlight its strengths and shortcomings and indicate how such a system could be reused in similar projects., Facultad de Informática
Published: 2015

11. Deployment of the ATLAS High-Level Trigger

Author: B. Caron, Lamberto Luminari, Simon George, J. Haller, J.L. Pinfold, Szymon Gadomski, Enrico Pasqualucci, Roberto Ferrari, Martine Bosman, B. Epp, G. Crone, Benedetto Gorini, C. Sanchez, Z. Qian, Paolo Morettini, C. Meessen, V. M. Ghete, Nikolaos Konstantinidis, Tadashi Maeno, Stefan Tapprogge, Denis Oliveira Damazio, Dmitry Emeliyanov, S. Stancu, M. Ciobotaru, C. Haeberli, A. Ventura, G. Comune, C. Meirosu, Pilar Casado, C. Osuna, D. Burckhart, B. Pinto, Giulio Usai, J. Masik, A. Corso-Radu, Fred Wickens, F. Parodi, Sonja Kabana, C. Padilla, E. Stefanidis, G. Cataldi, E. Segura, Marc Dobson, S. Kolos, Andrew Lankford, A. De Santo, Georg Zobernig, S. Sushkov, Werner Wiedenmann, A. Lowe, S.J. Wheeler, P. Pinto, E. G. Thomas, J. A. Bogaerts, M. Gruwé, Mihai Caprini, S. Gameiro, P. Conde, Speranza Falciano, S. Rosati, G. Lehmann, Shlomit Tarem, N. Panikashvili, A. Kootz, Yoshiji Yasu, A. Khomich, M. Wiesmann, Joao Seixas, A.G. Mello, D. Cavalli, Valerio Vercesi, Hans Peter Beck, Andrei Kazarov, R. Soluk, V.P. Reale, Nicolas Ellis, Serguei Sivoklokov, J. Sloper, David Francis, Julie Kirk, R. Goncalo, A. Sobreira, M. Joos, J. Petersen, Mark Sutton, D. A. Scannicchio, Francois Touchard, Monika Wielers, Igor Soloviev, A. Di Mattia, John Baines, Per Werner, Silvia Resconi, C. Santamarina, G. Kilvington, M. Biglietti, A. Dos Anjos, Nikolay Nikitin, S. R. Armstrong, Gokhan Unel, Andrea Negri, Christopher Bee, L. Tremblet, H. Garitaonandia, Carlo Schiavi, Roger Moore, M. Diaz-Gomez, W. Vandelli, Aleandro Nisati, Thorsten Wengler, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, A., DOS ANJOS, S., Armstrong, J. T. M., Baine, H. P., Beck, C. P., Bee, M., Biglietti, J. A., Bogaert, M., Bosman, D., Burckhart, M., Caprini, B., Caron, P., Casado, G., Cataldi, D., Cavalli, M., Ciobotaru, G., Comune, P., Conde, A., CORSO RADU, G., Crone, D., Damazio, A., DE SANTO, M., DIAZ GOMEZ, A., DI MATTIA, M., Dobson, N., Elli, D., Emelyanov, B., Epp, S., Falciano, R., Ferrari, D., Franci, S., Gadomski, S., Gameiro, H., Garitaonandia, S., George, V., Ghete, R., Goncalo, B., Gorini, M., Gruwe, C., Haeberli, J., Haller, M., Joo, S., Kabana, A., Kazarov, A., Khomich, G., Kilvington, J., Kirk, S., Kolo, N., Konstantinidi, A., Kootz, A., Lankford, G., Lehmann, A., Lowe, L., Luminari, T., Maeno, J., Masik, C., Meirosu, C., Meessen, A. G., Mello, R., Moore, P., Morettini, A., Negri, N., Nikitin, A., Nisati, C., Osuna, C., Padilla, N., Panikashvili, F., Parodi, E., Pasqualucci, V., PEREZ REALE, J., Petersen, J. L., Pinfold, P., Pinto, Z., Qian, S., Resconi, S., Rosati, C., Sanchez, C., Santamarina, D. A., Scannicchio, C., Schiavi, E., Segura, J. M., Seixa, S., Sivoklokov, J., Sloper, A., Sobreira, I., Solovev, R., Soluk, S., Stancu, E., Stefanidi, S., Sushkov, M., Sutton, S., Tapprogge, S., Tarem, E., Thoma, F., Touchard, L., Tremblet, G., Unel, G., Usai, W., Vandelli, B., VENDA PINTO, Ventura, Andrea, V., Vercesi, T., Wengler, P., Werner, S. J., Wheeler, F. J., Wicken, W., Wiedenmann, M., Wieler, M., Wiesmann, Y., Yasu, and G., Zobernig
Subjects: Nuclear and High Energy Physics, Dataflow, Cluster (spacecraft), 01 natural sciences, Atlas (anatomy), testbeam, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], medicine, Electrical and Electronic Engineering, Selection algorithm, Simulation, high-level triggers, Physics, high-energy physics, 010308 nuclear & particles physics, business.industry, Detector, ATLAS, Software distribution, Trigger, triggering, medicine.anatomical_structure, Nuclear Energy and Engineering, Cluster, software integration, Software deployment, Systems engineering, System integration, LHC, business
Abstract: The ATLAS combined test beam in the second half of 2004 saw the first deployment of the ATLAS High-Level Trigger (HLT). The next steps are deployment on the pre-series farms in the experimental area during 2005, commissioning and cosmics tests with the full detector in 2006 and collisions in 2007. This paper reviews the experience gained in the test beam, describes the current status and discusses the further enhancements to be made. We address issues related to the dataflow, integration of selection algorithms, testing, software distribution, installation and improvements.
Published: 2006

12. Online software for the ATLAS test beam data acquisition system

Author: Igor Soloviev, Marc Dobson, Luis G. Pedro, I. Alexandrov, S. Kolos, R. W. L. Jones, Dietrich Liko, D. Burckhart-Chromek, V. M. Kotov, E. Badescu, J.D.S. Conceicao, Mikhail Mineev, R. Hart, António Amorim, J. Flammer, Livio Mapelli, Levi Lucio, D. Klose, Y. F. Ryabov, B. Di Girolamo, Andrei Kazarov, J. Lima, M. Barczyk, Helmut Wolters, and Mihai Caprini
Subjects: Nuclear and High Energy Physics, Global system, business.industry, Computer science, Atlas (topology), Information sharing, Detector, Data acquisition, Software, Nuclear Energy and Engineering, Test beam, Computer engineering, Atlas data, Data_FILES, Detectors and Experimental Techniques, Electrical and Electronic Engineering, business, Computer hardware
Abstract: The Online Software is the global system software of the ATLAS Data Acquisition (DAQ) System, being responsible for the configuration, control and information sharing of the ATLAS DAQ System. A Test Beam facility offers the ATLAS detectors the possibility to study important performance aspects as well as to proceed on the way to the final ATLAS DAQ system. Last year, three sub-detectors of ATLAS as well as a combined setup of the three sub-detectors were using suc-cess-fully the Online Software for the control of their data taking. In this paper, we describe the different components of the Online Software together with their usage at the ATLAS Test Beam.
Published: 2004

13. The Error Reporting in the ATLAS TDAQ system

Author: Andrei Kazarov, Lykourgos Papaevgeniou, and S. Kolos
Subjects: History, Application programming interface, Database, Java, Computer science, Programming language, business.industry, Boilerplate code, Python (programming language), computer.software_genre, Expert system, Computer Science Applications, Education, Software, Macro, business, computer, Particle Physics - Experiment, computer.programming_language, Compile time
Abstract: The ATLAS Error Reporting feature, which is used in the TDAQ environment, provides a service that allows experts and shift crew to track and address errors relating to the data taking components and applications. This service, called the Error Reporting Service(ERS), gives software applications the opportunity to collect and send comprehensive data about errors, happening at run-time, to a place where it can be intercepted in real-time by any other system component. Other ATLAS online control and monitoring tools use the Error Reporting service as one of their main inputs to address system problems in a timely manner and to improve the quality of acquired data. The actual destination of the error messages depends solely on the run-time environment, in which the online applications are operating. When applications send information to ERS, depending on the actual configuration the information may end up in a local file, in a database, in distributed middle-ware, which can transport it to an expert system or display it to a users, who can work around a problem. Thanks to the open framework design of ERS, new information destinations can be added at any moment without touching the reporting and receiving applications. The ERS API is provided in three programming languages used in the ATLAS online environment: C++, Java and Python. All APIs use exceptions for error reporting but each of them exploits advanced features of a given language to simplify program writing experience. For the example, as C++ lacks language support for exceptions, a special macro have been designed to generate hierarchies of C++ exception classes at compile time. Using this approach a software developer can write a single line of code to generate a boilerplate code for a fully qualified C++ exception class declaration with arbitrary number of parameters and multiple constructors, which encapsulates all relevant static information about the given type of issues. When corresponding error occurs at run time, a program just need to create an instance of that class passing relevant values to one of the available class constructors and send this instance to ERS. This paper presents the original design solutions exploited for the ERS implementation and describes the experience of using ERS for the first ATLAS run period, where the cross-system error reporting standardization, introduced by ERS, was one of the key points for successful launching and utilization of automated problem-solving solutions in the TDAQ online environment.
Published: 2014

14. A Scalable and Reliable Message Transport Service for the ATLAS Trigger and Data Acquisition System

Author: Mihai Caprini, Giovanna Lehmann Miotto, Andrei Kazarov, Igor Soloviev, and S. Kolos
Subjects: Service (systems architecture), Large Hadron Collider, Computer science, business.industry, Reliability (computer networking), Distributed computing, Variable (computer science), Data acquisition, Scalability, Message broker, Routing (electronic design automation), business, Particle Physics - Experiment, Computer network
Abstract: The ATLAS Trigger and Data Acquisition (TDAQ) is a large distributed computing system composed of several thousands of interconnected computers and tens of thousands applications. During a run, TDAQ applications produce a lot of control and information messages with variable rates, addressed to TDAQ operators or to other applications. Reliable, fast and accurate delivery of the messages is important for the functioning of the whole TDAQ system. The Message Transport Service (MTS) provides facilities for the reliable transport, the filtering and the routing of the messages, basing on publish-subscribe-notify communication pattern with content-based message filtering. During the ongoing LHC shutdown, the MTS was re-implemented, taking into account important requirements like reliability, scalability and performance, handling of slow subscribers case and also simplicity of the design and the implementation. MTS uses CORBA middleware, a common layer for TDAQ infrastructure, and provides sending/subscribing APIs in Java and C++ programming languages. The paper presents the design and the implementation details of the MTS, as well as the results of performance and scalability tests executed on a computing farm with an amount of workers and working conditions which reproduced a realistic TDAQ environment during ATLAS operations.
Published: 2014

15. Performance of Splunk for the TDAQ Information Service at the ATLAS experiment

Author: Yoshiji Yasu and Andrei Kazarov
Subjects: Service (systems architecture), Database, Distributed database, business.industry, Computer science, Search engine indexing, computer.software_genre, Visualization, Software, Data acquisition, Data visualization, Scalability, Operating system, business, computer, Particle Physics - Experiment
Abstract: The ATLAS Trigger and Data Acquisition (TDAQ) is a large, distributed system composed of several thousand interconnected computers and tens of thousands software processes. Monitoring data produced by multiple sources are selected, aggregated and correlated to perform the analysis of the monitored data. Then they can finally be visualized and presented to the user. Any system implementing these functions has to be flexible in order to adapt to the amount of data produced and requested by the users for analysis and visualization. Due to the size of the ATLAS TDAQ system, the scalability is also important from the performance point of view. Splunk, a commercial product produced by Splunk Inc., is a general-purpose search, analysis & reporting engine and a distributed, non-relational, semi-structured database for time-series text data. This paper describes the evaluation of Splunk for the functionality and the performance.
Published: 2014

16. Configuration and control of the ATLAS trigger and data acquisition

Author: Livio Mapelli, Lourenco Lopes, Andrei Kazarov, Raul Murillo Garcia, Elisabeta Badescu, V. M. Kotov, Andrew Lankford, António Amorim, Igor Soloviev, M. Leahu, G. L. Darlea, Alina Corso-Radu, Ivan Fedorko, Igor Aleksandrov, J. Sloper, S. Kolos, Giuseppe Avolio, Yuri Ryabov, Giovanna Lehmann Miotto, Mihai Caprini, and Andre Dos Anjos
Subjects: Physics, Nuclear and High Energy Physics, Particle physics, Large Hadron Collider, Physics::Instrumentation and Detectors, Atlas (topology), business.industry, Technical design, Data acquisition, General purpose, Configuration system, business, Instrumentation, Computer hardware
Abstract: ATLAS is a general purpose experiment aimed at studying high-energy particle interactions at the Large Hadron Collider (LHC). This paper describes the evolution of the Controls and Configuration system of the ATLAS Trigger and Data Acquisition from the Technical Design Report to the first events taken with circulating beams. We present the lessons learned during the development.
Published: 2010

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

Author: A. Radu, Mihai Caprini, Andrei Kazarov, Lorenzo Moneta, E. Badescu, V. Roumiantsev, D. Schweiger, D. Burckhart, R. W. L. Jones, I. Alexandrov, Y. F. Ryabov, Z. Qian, V. M. Kotov, R. Hart, António Amorim, P.Y. Duval, Igor Soloviev, S. Kolos, C.A. Ribeiro, Livio Mapelli, L. Cohen, D. Laugier, Damoiseaux, Magali, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and ATLAS
Subjects: Nuclear and High Energy Physics, Collaborative software, 010308 nuclear & particles physics, business.industry, Software prototyping, computer.software_genre, 01 natural sciences, Porting, Data acquisition, Software, Nuclear Energy and Engineering, Common Object Request Broker Architecture, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 0103 physical sciences, Scalability, Operating system, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Compiler, Detectors and Experimental Techniques, Electrical and Electronic Engineering, 010306 general physics, business, computer
Abstract: The DAQ group of the future ATLAS experiment has developed a prototype system based on the trigger/DAQ architecture described in the ATLAS Technical Proposal to support studies of the full system functionality, architecture as well as available hardware and software technologies. One sub-system of this prototype is the back- end which encompasses the software needed to configure, control and monitor the DAQ, but excludes the processing and transportation of physics data. The back-end consists of a number of components including run control, configuration databases and message reporting system. The software has been developed using standard, external software technologies such as OO databases and CORBA. It has been ported to several C++ compilers and operating systems including Solaris, Linux, WNT and LynxOS. This paper gives an overview of the back-end software, its performance, scalability and current status. (17 refs).
Published: 2000

18. Applications of advanced data analysis and expert system technologies in the ATLAS Trigger-DAQ Controls framework

Author: A. Corso Radu, Andrei Kazarov, Giuseppe Avolio, L. Magnoni, and G. Lehmann Miotto
Subjects: History, Correctness, Trigger and data acquisition, Computer science, Advanced softwares, Real-time computing, Rule-based expert system, Synchronous operations, Complex event processing, Information messages, Running operation, computer.software_genre, Education, Software, Data acquisition, System verifications, Physical Sciences and Mathematics, Runtimes, Detectors and Experimental Techniques, Downtime, Error detection and recovery, business.industry, System functionality, Operational monitoring, Automation, Control room, Expert system, Computer Science Applications, Runningapplications, ATLAS experiment, Distributed computing systems, business, computer
Abstract: The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment is a very complex distributed computing system, composed of more than 20000 applications running on more than 2000 computers. The TDAQ Controls system has to guarantee the smooth and synchronous operations of all the TDAQ components and has to provide the means to minimize the downtime of the system caused by runtime failures. During data taking runs, streams of information messages sent or published by running applications are the main sources of knowledge about correctness of running operations. The huge flow of operational monitoring data produced is constantly monitored by experts in order to detect problems or misbehaviours. Given the scale of the system and the rates of data to be analyzed, the automation of the system functionality in the areas of operational monitoring, system verification, error detection and recovery is a strong requirement. To accomplish its objective, the Controls system includes some high-level components which are based on advanced software technologies, namely the rule-based Expert System and the Complex Event Processing engines. The chosen techniques allow to formalize, store and reuse the knowledge of experts and thus to assist the shifters in the ATLAS control room during the data-taking activities.
Published: 2012

19. Use of expert system and data analysis technologies in automation of error detection, diagnosis and recovery for ATLAS Trigger-DAQ Controls framework

Author: Alina Corso Radu, Giovanna Lehmann Miotto, L. Magnoni, and Andrei Kazarov
Subjects: Computer science, business.industry, Complex event processing, computer.software_genre, Automation, Expert system, Knowledge-based systems, Software, Data acquisition, Control system, Embedded system, Component-based software engineering, Operating system, Detectors and Experimental Techniques, business, computer
Abstract: Trigger and DAQ (Data AQuisition) System of the ATLAS experiment on LHC at CERN is a very complex distributed computing system, composed of O(10000) applications running on a farm of commodity CPUs. The system is being designed and developed by dozens of software engineers and physicists since end of 1990's and it will be maintained in operational mode during the lifetime of the experiment. The TDAQ system is controlled by the Controls framework, which includes a set of software components and tools used for system configuration, distributed processes handling, synchronization of Run Control state transitions etc. The huge flow of operational monitoring data produced is constantly monitored by operators and experts in order to detect problems or misbehaviour. Given the scale of the system and the rates of data to be analyzed, the automation of the Controls framework functionality in the areas of operational monitoring, system verification, error detection and recovery is a strong requirement. The paper describes requirements, technologies choice, high-level design and some implementation aspects of advanced Controls tools based on knowledge-base technologies. The main aim of these tools is to store and to reuse developers expertise and operational knowledge in order to help TDAQ operators to control the system with maximum efficiency during life time of the experiment.
Published: 2012

20. The AAL project: automated monitoring and intelligent analysis for the ATLAS data taking infrastructure

Author: G. Lehmann Miotto, L. Magnoni, and Andrei Kazarov
Subjects: History, Distributed Computing Environment, Correctness, Computer science, business.industry, Distributed computing, Real-time computing, Complex event processing, Computer Science Applications, Education, Event-driven architecture, Data acquisition, Information system, Web application, Message broker, Detectors and Experimental Techniques, business
Abstract: The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment at CERN is the infrastructure responsible for filtering and transferring ATLAS experimental data from detectors to the mass storage system. It relies on a large, distributed computing environment, including thousands of computing nodes with thousands of application running concurrently. In such a complex environment, information analysis is fundamental for controlling applications behavior, error reporting and operational monitoring. During data taking runs, streams of messages sent by applications via the message reporting system together with data published from applications via information services are the main sources of knowledge about correctness of running operations. The huge flow of data produced (with an average rate of O(1-10KHz)) is constantly monitored by experts to detect problem or misbehavior. This require strong competence and experience in understanding and discovering problems and root causes, and often the meaningful information is not in the single message or update, but in the aggregated behavior in a certain time-line. The AAL project is meant at reducing the man power needs and at assuring a constant high quality of problem detection by automating most of the monitoring tasks and providing real-time correlation of data-taking and system metrics. This project combines technologies coming from different disciplines, in particular it leverages on an Event Driven Architecture to unify the flow of data from the ATLAS infrastructure, on a Complex Event Processing (CEP) engine for correlation of events and on a machine learning module to detect anomaly and problems that cannot be defined in advance. The project is composed of 3 main components: a core processing engine, responsible for correlation of events through expert-defined queries, a machine learning module to detect anomalies in an unsupervised manner and a web based front-end to present real-time information and interact with the system. All components works in a loose-coupled event based architecture, with a message broker to centralize all communication between modules. The result is an intelligent system able to extract and compute relevant information from the flow of operational data to provide real-time feedback to human experts who can promptly react when needed. The paper presents the design and implementation of the AAL project, together with the results of its usage as automated monitoring assistant for the ATLAS data taking infrastructure.
Published: 2011

21. Photon reconstruction in the ATLAS Inner Detector and Liquid Argon Barrel Calorimeter at the 2004 Combined Test Beam

Author: Davide Costanzo, Guillaume Unal, L. Cardiel Sas, P. Risso, Till Eifert, K. K. Gan, Evgeny Starchenko, Ilias Efthymiopoulos, Vadim Kostyukhin, Lidia Smirnova, Laurent Chevalier, Mauro Citterio, C. N. Marques, A. C. Le Bihan, Lydia Iconomidou-Fayard, Kerstin Jon-And, L. Louchard, D. M. Seliverstov, Milos Lokajicek, M. Mathes, J. Maneira, H. O. Danielsson, Z. Broklova, Oliver Keith Baker, C. J.W.P. Timmermans, Anna Kaczmarska, Jens Weingarten, S.B. Oleshko, Calin Alexa, M. V. Gallas, A.I. Fakhr-Edine, Robert Szczygiel, J. Petersen, Andrea Catinaccio, J. D. Hansen, Joaquin Poveda, Gvantsa Mchedlidze, Sebastien Binet, L. P. Says, S. De Cecco, Iacopo Vivarelli, Maia Mosidze, Nikolaos Konstantinidis, Igor Gavrilenko, D. Burckhart Chromek, Alexey Myagkov, Luc Poggioli, H. S. Chen, B. Di Girolamo, K. Facius, N. Shalanda, Carlos Lacasta, Alexander Solodkov, Irena Nikolic-Audit, T. N. Trinh, P. Cavalleri, G. Lehmann, Francesco Ragusa, V. Paolone, V. G. Bondarenko, Christian Schmitt, S. Y. Nesterov, P. J. Bell, Arnaud Lucotte, Michael Hance, Wolfgang Liebig, Roberto Ferrari, Vladimir Peshekhonov, Bettina Mikulec, Andrei Kazarov, G. Sauvage, S. Moed, Damir Lelas, Alexander Fenyuk, Didier Lacour, R. Febbraro, C. Troncon, E. Jansen, Didier Ferrere, S. Correard, A. Camard, S. Parzhitskiy, Marco Costa, V. Giakoumopoulou, Adrian Fabich, M. Canneri, N. Dressnandt, Frédéric Chevallier, A. Harvey, R. Mackeprang, S.P. Konovalov, John Parsons, Thomas Koffas, M. Lechowski, S. Wheeler, F. Tarrade, A. Dotti, Viktor Kramarenko, C. Haeberli, Pavel Tsiareshka, Peter Hansen, Per Johansson, K. Egorov, G. L. Glonti, M. Mangin-Brinet, S. Marti i Garcia, Philippe Farthouat, E. Bergeaas Kuutmann, Yury Ryabov, F. Tegenfeldt, I. Nikitine, Laurent Serin, Kaushik De, A. Ruiz, M. J. Price, Henric George Wilkens, M. El Kacimi, Zhaoxia Meng, Peter Kodys, Dimitrios Fassouliotis, Ph. Schwemling, Jochen Schieck, Hrachya Hakobyan, Kelby Anderson, Marco Delmastro, Fridolin Dittus, Bertrand Laforge, Troels Petersen, M Cavalli Sforza, Serkant Ali Cetin, Tomas Davidek, Sandrine Laplace, Yuri Kulchitsky, M. D. Ciobotaru, Sascha Mehlhase, G. Filippini, A. Henriques, Isabelle Wingerter-Seez, Jemal Khubua, V. Boldea, Christopher Lester, C. Puigdengoles, Francis Anghinolfi, Laura Perini, Rupert Leitner, S. V. Morozov, Benedetto Gorini, A. Munar, D. R. Rust, Martin Aleksa, Frederic Derue, Emmanuel Monnier, Amelia Maio, Marumi Kado, Tobias Golling, M. Kataoka, R. J. Hawkings, F. Martin, Dave Robinson, F.E.W. Heinemann, A. Corso Radu, Remi Lafaye, Marc Dobson, Arno Straessner, Giorgi Arabidze, James Pilcher, K. Benslama, F. Podlyski, K. J. Grahn, Thijs Cornelissen, O. Saltó, Luis Hervas, S. Kovalenko, Leonardo Carminati, T. Shin, Paolo Francavilla, Fares Djama, T. Henss, Fabrizio Parodi, Alexandre Rozanov, A. Khomich, P. Cwetanski, Bengt Lund-Jensen, Ole Røhne, Claudio Santoni, G. Gorfine, Heidi Sandaker, M. Volpi, S. V. Mouraviev, T. N. Addy, Zhijun Liang, R. Froeschl, M. Hurwitz, M. Tyndel, Joao Saraiva, Pascal Pralavorio, Imma Riu, A. V. Zenin, L. Di Ciaccio, B. Lundberg, P. Schwemling, Torsten Paul Ake Åkesson, John Hill, Anna Lipniacka, Stefan Simion, Shaun Roe, Z. Hajduk, Enrico Pasqualucci, Antonio Onofre, J. Virzi, L.G. Kudin, Tadeusz Kowalski, Wainer Vandelli, Philip Phillips, M. Gruwe, R. Petti, M. Thioye, Giovanni Darbo, Tancredi Carli, S. Patrichev, J. Callahan, L. Pribyl, V. I. Vassilakopoulos, Koji Nakamura, G. F. Moorhead, Andrea Negri, Bartosz Mindur, D. Fergusson, O. Le Dortz, Francois Vazeille, K. W. McFarlane, E.W.J. Moyse, O. Solovianov, E. Arik, Nikos Giokaris, P. Adragna, S. Gameiro, Andreas Salzburger, Y. Vetter-Cole, Y. V. Grishkevich, K. Nikolaev, M. J. Goodrick, J. Lellouch, T. Kittelmann, Driss Goujdami, J. Schultes, Catalin Meirosu, T. Atkinson, David Calvet, D. Emelyanov, N. Grigalashvili, Christoph Rembser, Didier Imbault, S. Paganis, L. Santi, E. Chareyre, João Carvalho, G. Khoriauli, R. Haertel, Dominik Dannheim, Mogens Dam, S.I. Suchkov, P. T. Keener, B. Salvachua, Louis Fayard, Gary Drake, Anatoli Romaniouk, Philippe Grenier, M. Schaefer, Gokhan Unel, Maarten Boonekamp, Andrey Karyukhin, G. D. Kekelidze, Z. Drásal, P. Gagnon, F. Vannucci, P. Lichard, R. Cherkaoui, Giulio Usai, K. Kruger, C. Guicheney, J.B. de Vivie, I. Hruska, Daniel Passos da Silva, Ning Zhou, P. Nechaeva, Douglas Benjamin, S. Stancu, Fairouz Malek, C. Shaw, Anna Sfyrla, Srinivasan Rajagopalan, Irene Vichou, Tristan Beau, Francesco Tartarelli, Wouter Hulsbergen, Z. Zenonos, F. Sarri, Jolanta Olszowska, Vincenzo Cavasinni, Harold Ogren, Chiara Meroni, Vladimir Ryjov, Daniel Fournier, K. F. Loureiro, Daniel Dobos, M. Joos, Valery Schegelsky, A. Manousakis, V. Perez Reale, Hong Ma, Fabrice Hubaut, Martine Bosman, Sergio Gonzalez-Sevilla, Hugh Williams, F. Vernocchi, P. S. Wells, Sofia Chouridou, Antonio Ferrer, R. Beccherle, L. Vasilyeva, Armen Vartapetian, Yoshiji Yasu, F. Luehring, E. B. Klinkby, L. Mandelli, D. Prieur, Anne-Isabelle Etienvre, Seog Oh, Pavel Reznicek, N. P. Gollub, Hans Peter Beck, Marc Weber, E. Abat, A. Gomes, Patrick Puzo, Daniel Froidevaux, P. Conde Muiño, V. Sosnovtsev, S. Bordoni, Stefan Valkar, D. Cauz, Stanislav Nemecek, Paula Eerola, R. Garcia, S. V. Kopikov, Joern Grosse-Knetter, Alexander Zaitsev, Dominique Pallin, E. Fullana, F. M. Newcomer, Alevtina Shmeleva, T. Zenis, Marina Cobal, Oleg Fedin, M. D. M. Capeans Garrido, Fabian Huegging, Victor Maleev, D. Banfi, Francesco Spanò, Joao Seixas, Irakli Minashvili, I. Jen-La Plante, I. Reisinger, Carlo Schiavi, M. Mazzanti, Evgeniy Khramov, P.-O. Defay, Driss Benchekroun, Szymon Gadomski, José Bernabéu, B. Pinto, A. Zhelezko, M. Caprini, Alberto Valero, T. Del Prete, B. Belhorma, A. G. Clark, Amir Farbin, M. Cascella, Walter Lampl, E. Higon, Reiner Klingenberg, J. Hoffman, Lydia Roos, Sylvain Tisserant, D. Cavalli, Serban Constantinescu, Carlos Escobar, Yahya Tayalati, M. Fanti, Claudia Gemme, S. Jorgensen, Vladimir Vinogradov, Boris Dolgoshein, N. Ghodbane, S. Kolos, Michal Suk, Fabienne Ledroit-Guillon, C. Padilla Aranda, S. Baron, M. Simonyan, M R M Warren, M. Dameri, M.V. Castillo, S. Dita, Melissa Ridel, H. Bertelsen, José Luís da Silva, S. Yu Smirnov, J. Sloper, David Francis, Susanne Kersten, M.D. Gomez, J. Schwindling, E. Cogneras, J. Ocariz, Tobias Flick, David Rousseau, J. Del, Paolo Morettini, C. Santamarina, M. Consonni, Francesco Lanni, Ilya Korolkov, Robert McPherson, Anthony Weidberg, Chunjie Wang, Pamela Ferrari, N. Kerschen, J-Y. Hostachy, G. Marchiori, Vasiliki A Mitsou, T. Goettfert, A. Ahmad, Kevin Einsweiler, Anupam Gupta, G. Schlager, A. Khristachev, B. Dekhissi, Igor Soloviev, S.M. Passmored, Joleen Pater, Vladimir Tikhomirov, Guido Gagliardi, V. Giangiobbe, Marzio Nessi, Kendall Reeves, Jalal Abdallah, B. Toczek, M.Karagoez. Unel, W. L. Ebenstein, G. Costa, Huaqiao Zhang, Petr Tas, Alan Poppleton, B.C. Ferreira, Livio Mapelli, T. Vu Anh, P. Gerlach, John Baines, Per Werner, C. Driouchi, J. M. Joseph, V. N. Bychkov, Sophie Trincaz-Duvoid, Kazuhiko Hara, M. Wiessmann, J. Pina, Robert Stanek, Attilio Andreazza, Nikolai Rusakovich, F. Kayumov, C. A. Solans, David Milstead, B. Cleland, R. Van Berg, J. G. Drohan, J. Schlereth, M. Aharrouche, Chiara Roda, Claire Bourdarios, Tommaso Lari, C. Biscarat, Tamar Djobava, Richard Teuscher, A. Antonaki, L. Tremblet, M. Peez, Mieczyslaw Witold Krasny, A.V. Nadtochi, S. Cuneo, Bruce Gallop, Markus Elsing, J. Weber, G. Calderini, Carmen García, P. A. Bruckman de Renstrom, V. Mialkovski, D. Pantea, J.A. Valls, Alan Barr, Timothée Theveneaux-Pelzer, P. Speckmayer, Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), APC - Neutrinos, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), Clark, Allan Geoffrey, Ferrere, Didier, Gadomski, Szymon, Diaz-Gomez, Manuel, Mangin-Brinet, Mariane, Mikulec, Bettina, Moed, Shulamit, Riu Dachs, Inmaculada, Sfyrla, Anna, Vu Anh, Tuan, ATLAS (IHEF, IoP, FNWI), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), and Universidade do Minho
Subjects: Photon, Ciências Naturais::Ciências Físicas, transition radiation detectors, calorimeters, large detector systems for particle and astroparticle physics, particle tracking detectors, solid-state detectors, Physics::Instrumentation and Detectors, Ciências Físicas [Ciências Naturais], Transition radiation detectors, ddc:500.2, 01 natural sciences, Settore FIS/04 - Fisica Nucleare e Subnucleare, Nuclear physics, Calorimeters, Optics, Atlas (anatomy), 0103 physical sciences, medicine, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Wafer, Detectors and Experimental Techniques, 010306 general physics, Instrumentation, Mathematical Physics, Physics, Large Hadron Collider, Science & Technology, 010308 nuclear & particles physics, business.industry, Large detector systems for particle and astroparticle physics, Detector, Settore FIS/01 - Fisica Sperimentale, Calorimeter, medicine.anatomical_structure, Particle tracking detectors (Solid-state detectors), High Energy Physics::Experiment, business, Energy (signal processing), Beam (structure)
Abstract: The reconstruction of photons in the ATLAS detector is studied with data taken during the 2004 Combined Test Beam, where a full slice of the ATLAS detector was exposed to beams of particles of known energy at the CERN SPS. The results presented show significant differences in the longitudinal development of the electromagnetic shower between converted and unconverted photons as well as in the total measured energy. The potential to use the reconstructed converted photons as a means to precisely map the material of the tracker in front of the electromagnetic calorimeter is also considered. All results obtained are compared with a detailed Monte-Carlo simulation of the test-beam setup which is based on the same simulation and reconstruction tools as those used for the ATLAS detector itself., info:eu-repo/semantics/publishedVersion
Published: 2011

22. Combined performance studies for electrons at the 2004 ATLAS combined test-beam

Author: G. D. Kekelidze, Z. Drásal, P. Gagnon, F. Vannucci, Laura Perini, Daniel Fournier, Stefan Simion, Leonardo Carminati, José Bernabéu, Henric George Wilkens, Sylvain Tisserant, Torsten Paul Ake Åkesson, Francesco Ragusa, Francis Anghinolfi, A. B. Fenyuk, S. Cuneo, Bruce Gallop, Carlos Escobar, D. Lelas, A. C. Le Bihan, D. Prieur, Philip Phillips, M. Gruwe, H. H. Williams, Shaun Roe, Z. Hajduk, Marco Delmastro, Fridolin Dittus, Tomas Davidek, Sandrine Laplace, Tobias Golling, M. Kataoka, T. Shin, Remi Lafaye, Markus Elsing, D. Cauz, R. Van Berg, M. Mathes, E. Bergeaas Kuutmann, Luis Hervas, S. Kovalenko, Andreas Salzburger, J. Abdallah, M.V. Castillo, Yoshiji Yasu, E. Fullana, Z. Broklova, B. Di Girolamo, Sofia Chouridou, Armen Vartapetian, A. Andreazza, F. Luehring, M. J. Goodrick, Thomas Koffas, R. Stanek, Daniel Froidevaux, P. Conde Muiño, F. M. Newcomer, D. Banfi, Ilias Efthymiopoulos, J. G. Drohan, J. Schlereth, D. R. Rust, Martin Aleksa, C. Haeberli, A. Dotti, Francois Vazeille, Christoph Rembser, O. Solovianov, E. Arik, Heidi Sandaker, Martine Bosman, Sergio Gonzalez-Sevilla, M. Aharrouche, Francesco Spanò, Jolanta Olszowska, K. J. Anderson, S. Gadomski, Karl-Johan Grahn, I. Reisinger, Viktor Kramarenko, P. Grenier, Pavel Tsiareshka, L. Mandelli, Ph. Schwemling, Vadim Kostyukhin, Claire Bourdarios, Imma Riu, A. V. Zenin, P. Adragna, S. V. Kopikov, T. Zenis, J. Maneira, Jochen Schieck, M. J. Costa, Troels Petersen, C. Puigdengoles, Hrachya Hakobyan, David Rousseau, Evgeniy Khramov, M. Schaefer, K.F. Lourerio, E. B. Klinkby, Victor Maleev, M Cavalli Sforza, L. Louchard, Anupam Gupta, J. Weber, Carmen García, C. Shaw, Marina Cobal, Oleg Fedin, J. Callahan, L. Pribyl, Wouter Hulsbergen, C. Biscarat, Joao Seixas, G. Schlager, A. Khristachev, B. Dekhissi, Igor Soloviev, F. Sarri, K. K. Gan, Tamar Djobava, Benedetto Gorini, S. V. Morozov, F. Tarrade, L. Santi, K. Kruger, Maarten Boonekamp, Petr Tas, S. H. Oh, A. G. Clark, Alan Poppleton, F. Chevallier, Lidia Smirnova, Laurent Chevalier, L. Vasilyeva, L. Di Ciaccio, Amir Farbin, Ole Røhne, Frederic Derue, Pascal Pralavorio, B.C. Ferreira, J. Hoffman, M. Cascella, Anna Kaczmarska, C. N. Marques, Kerstin Jon-And, N. Ghodbane, A. Manousakis, A.I. Fakhr-Edine, A. Antonaki, Guillaume Unal, L. Cardiel Sas, Evgeny Starchenko, R. Petti, Marumi Kado, J. Sloper, J. Del Peso, Michal Suk, John Baines, H. Bertelsen, José Luís da Silva, David Francis, Marcello Fanti, B. Salvachua, Louis Fayard, Livio Mapelli, R. J. Teuscher, C. Schmitt, M. Hurwitz, Milos Lokajicek, Per Werner, Joaquin Poveda, M. Peez, Tancredi Carli, Iacopo Vivarelli, J. A. Parsons, Susanne Kersten, M.D. Gomez, C. Driouchi, A. Gomes, R. Febbraro, Arnaud Lucotte, Yahya Tayalati, T. Vu Anh, Fares Djama, S.B. Oleshko, M. Volpi, Tobias Flick, Antonio Onofre, S. Paganis, Oliver Keith Baker, G. Khoriauli, Calin Alexa, M. El Kacimi, Zhaoxia Meng, Paula Eerola, M. J. Price, L. P. Says, A.V. Nadtochi, K. Benslama, Robert McPherson, R. Beccherle, D. Fassouliotis, Driss Benchekroun, Andrea Negri, Alberto Valero, P. Lichard, Davide Costanzo, C. Santamarina Rios, J. Schwindling, E. Cogneras, M. D. M. Capeans Garrido, P. Risso, Serkant Ali Cetin, Paolo Morettini, Gvantsa Mchedlidze, Daniel Passos da Silva, T. Del Prete, A. Ahmad, P. A. Bruckman de Renstrom, D. Burckhart Chromek, Carlos Lacasta, Mauro Citterio, Lydia Iconomidou-Fayard, Donatella Cavalli, Yuri Kulchitsky, Nikolai Rusakovich, J. D. Hansen, V. Mialkovski, Fairouz Malek, P. Gerlach, Reiner Klingenberg, G. Lehmann, C. J.W.P. Timmermans, K. Nikolaev, M. Joos, Marzio Nessi, Kendall Reeves, V. Boldea, Fabrice Hubaut, Didier Ferrere, Mihai Caprini, Sebastien Binet, N. Kerschen, F. Kayumov, Francesco Tartarelli, B. Toczek, Valery Schegelsky, O. Saltó, V. Paolone, V. Perez Reale, S. Marti i Garcia, Rupert Leitner, J.A. Valls, K. Egorov, M. Mangin-Brinet, M.Karagoez. Unel, Alan Barr, V. G. Bondarenko, J. Pina, I. Nikitine, Laurent Serin, D. Emelyanov, S.I. Suchkov, J-Y. Hostachy, Bengt Lund-Jensen, B. Cleland, Stefan Valkar, Kaushik De, A. Ruiz, Fabian Huegging, J.B. de Vivie, I. Hruska, Thijs Cornelissen, Ning Zhou, A. M. Zaitsev, N. P. Gollub, M. Thioye, M. Mazzanti, R. Garcia, Giovanni Darbo, A. Ferrer, C. Guicheney, M. Consonni, Hans Peter Beck, Z. Zenonos, P. Speckmayer, M. D. Ciobotaru, G. Filippini, N. Giokaris, E. Abat, M. Lechowski, Michael Hance, E.W.J. Moyse, A. Maio, Anna Lipniacka, Marc Weber, P. S. Wells, Walter Lampl, S. Wheeler, B. Pinto, A. Zhelezko, W. L. Ebenstein, Y. V. Grishkevich, Srinivasan Rajagopalan, F. Parodi, Huaqiao Zhang, A. Munar, Irene Vichou, B. A. Dolgoshein, F. Martin, S. Jorgensen, Vladimir Vinogradov, Vladimir Peshekhonov, S. Kolos, F.E.W. Heinemann, C. A. Solans, Irakli Minashvili, John Hill, C. Gemme, Serban Constantinescu, T. N. Addy, Zhijun Liang, Enrico Pasqualucci, Roberto Ferrari, Anna Sfyrla, Vladimir Ryjov, Driss Goujdami, Giulio Usai, J. Virzi, Carlo Schiavi, T. Lari, D. Fergusson, Y. F. Ryabov, Daniel Dobos, M. Canneri, A. Harvey, R. Mackeprang, S.P. Konovalov, S. Gameiro, Y. Vetter-Cole, Gary Drake, Peter Hansen, J. Petersen, Peter Kodys, E. Higon, Anatoli Romaniouk, Bettina Mikulec, Andrei Kazarov, Mogens Dam, R. Cherkaoui, T. Kittelmann, Anne-Isabelle Etienvre, Pavel Reznicek, J. M. Joseph, Fabienne Ledroit-Guillon, V. N. Bychkov, Clara Troncon, Chiara Meroni, Hong Ma, S.M. Passmored, D. P. Benjamin, S. Yu. Smirnov, Giuseppe Costa, C. Padilla Aranda, Patrick Puzo, Kazuhiko Hara, S. Baron, Guido Gagliardi, Sascha Mehlhase, Joleen Pater, V. A. Giakoumopoulou, Alevtina Shmeleva, Vladimir Tikhomirov, M. Wiessmann, Pamela Ferrari, T. Henss, A. Khomich, P. Cwetanski, Sanda Dita, Vasiliki A Mitsou, R. J. Hawkings, Dave Robinson, Nikolaos Konstantinidis, P. Johansson, T. Goettfert, N. Shalanda, David Milstead, Kevin Einsweiler, A. N. Karyukhin, Wolfgang Liebig, S. Parzhitskiy, A. M. Henriques Correia, Jemal Khubua, Bertrand Laforge, Chiara Roda, Marc Dobson, S. Patrichev, Bartosz Mindur, J. Schultes, T. Atkinson, Giorgi Arabidze, B. Lundberg, Koji Nakamura, G. F. Moorhead, G. L. Glonti, H. O. Danielsson, M. V. Gallas, Robert Szczygiel, Igor Gavrilenko, H. S. Chen, G. Sauvage, S. Moed, Till Eifert, L. Tremblet, P. Farthouat, S. V. Mouraviev, Maia Mosidze, Alexandre Rozanov, D. M. Seliverstov, Claudio Santoni, G. Gorfine, R. Froeschl, David Calvet, V. Giangiobbe, Stanislav Nemecek, N. Grigalashvili, João Carvalho, R. Haertel, Dominik Dannheim, Jens Weingarten, Alexander Solodkov, Luc Poggioli, S. Y. Nesterov, Irena Nikolic-Audit, Adrian Fabich, A. R. Weidberg, A. Corso Radu, N. Dressnandt, F. Tegenfeldt, F. Podlyski, Eric Jansen, Arno Straessner, M. Tyndel, Gokhan Unel, H. O. Ogren, L.G. Kudin, Joern Grosse-Knetter, Joao Saraiva, M. Simonyan, Isabelle Wingerter-Seez, M R M Warren, M. Dameri, Tadeusz Kowalski, Wainer Vandelli, Christopher Lester, P. J. Bell, V. I. Vassilakopoulos, K. W. McFarlane, Catalin Meirosu, P. T. Keener, P. Francavilla, P. Nechaeva, S. Stancu, Emmanuel Monnier, Vincenzo Cavasinni, F. Vernocchi, V. Sosnovtsev, Dominique Pallin, I. Jen-La Plante, P.-O. Defay, B. Belhorma, Andrea Catinaccio, A. G. Myagkov, Melissa Ridel, Dan Pantea, Francesco Lanni, Ilya Korolkov, Chunjie Wang, K. Facius, S. Correard, Universidade do Minho, Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), APC - Neutrinos, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Clark, Allan Geoffrey, Ferrere, Didier, Gadomski, Szymon, Diaz-Gomez, Manuel, Mangin-Brinet, Mariane, Mikulec, Bettina, Moed, Shulamit, Riu Dachs, Inmaculada, Sfyrla, Anna, Vu Anh, Tuan, Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Physics::Instrumentation and Detectors, Ciências Naturais::Ciências Físicas, Ciências Físicas [Ciências Naturais], Transition radiation detectors, Electrons, ddc:500.2, 01 natural sciences, Particle identification, Nuclear physics, Calorimeters, Atlas (anatomy), Particle tracking detectors, 0103 physical sciences, medicine, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Detectors and Experimental Techniques, 010306 general physics, Nuclear Experiment, Instrumentation, Detectors de radiació, Mathematical Physics, Physics, Large Hadron Collider, Science & Technology, 010308 nuclear & particles physics, Large detector systems for particle and astroparticle physics, Detector, Calorimeter, medicine.anatomical_structure, Transition radiation, Beamline, High Energy Physics::Experiment, Beam (structure)
Abstract: In 2004 at the ATLAS (A Toroidal LHC ApparatuS) combined test beam, one slice of the ATLAS barrel detector (including an Inner Detector set-up and the Liquid Argon calorimeter) was exposed to particles from the H8 SPS beam line at CERN. It was the first occasion to test the combined electron performance of ATLAS. This paper presents results obtained for the momentum measurement p with the Inner Detector and for the performance of the electron measurement with the LAr calorimeter (energy E linearity and resolution) in the presence of a magnetic field in the Inner Detector for momenta ranging from 20 GeV/c to 100 GeV/c. Furthermore the particle identification capabilities of the Transition Radiation Tracker, Bremsstrahlungs-recovery algorithms relying on the LAr calorimeter and results obtained for the E/p ratio and a way how to extract scale parameters will be discussed., info:eu-repo/semantics/publishedVersion
Published: 2010

23. Measurement of pion and proton response and longitudinal shower profiles up to 20 nuclear interaction lengths with the ATLAS Tile calorimeter

Author: M. J. Shochet, Claudio Santoni, J. Khramov, Rupert Leitner, David Calvet, J. Lesser, A. Maio, B. Sellden, João Carvalho, M. Joos, Francois Vazeille, P. Adragna, S. Maliukov, Vicente González, L. E. Price, Ilias Efthymiopoulos, Tamar Djobava, Richard Teuscher, Anupam Gupta, A. Antonaki, Jiang Li, A. Henriques, L. Batkova, Joao Saraiva, S. Errede, Irakli Minashvili, Carlos Solans, G. Schlager, R. Stanek, Armen Vartapetian, Igor Soloviev, Mihai Caprini, V. Gilewsky, Martine Bosman, A. Dotti, M. Ramstedt, Szymon Gadomski, P. Shevtsov, Hrachya Hakobyan, D. Eriksson, Christophe Clement, V. J. Guarino, Tomas Davidek, Joao Seixas, G. L. Usai, A. Lupi, Carlos A. Iglesias, F. Podlyski, T. Zenis, V. Batusov, X. Portell, J. Pina, G. Blanchot, V. Rumiantsev, Pavel Starovoitov, N.A. Russakovich, F. Sarri, F. S. Merritt, C. Cuenca, Denis Oliveira Damazio, Kaushik De, H. Khandanyan, Evgeny Starchenko, Serban Constantinescu, K. Gellerstedt, Stefan Valkar, C. Maidanchik, J. Petersen, Alexander Solodkov, P. Roy, C. Bohm, C. Biscarat, M. Cascella, Alberto Valero, M. Lembesi, N. Shalanda, R. A. Richards, P. Rosnet, A. Zenine, A. B. Fenyuk, A. N. Sissakian, Ph Gris, J. Novakova, A. Onofre, Andrew White, J. Huston, A. N. Karyukhin, Mikhail Makouski, V. Simaitis, I. Satsunkevitch, H. Sanders, Maia Mosidze, David Francis, F. Martin, E. Mazzoni, T. Del Prete, Chiara Roda, Davide Costanzo, Jemal Khubua, S. O. Holmgren, N. D. Topilin, R. Lefèvre, Benedetto Gorini, T. R. Junk, O. Norniella, D. Fassouliotis, J.A. Valls, A. G. Myagkov, M. Tylmad, J. Schlereth, A. Miagkov, D. Burckhart-Chromek, F. Cogswell, Marc Dobson, Yuri Kulchitsky, Carlos Marques, R. Febbraro, A. M. Zaitsev, O. Saltó, M. Hurwitz, Iacopo Vivarelli, Y. A. Kurochkin, B. Nordkvist, P. Krivkova, B. Di Girolamo, M. Liablin, O. Gildemeister, Michael Haney, T. Le Compte, N. Giokaris, Sten Hellman, A. Arabidze, P. V.M. Da Silva, Irene Vichou, Vladimir Vinogradov, S. Gameiro, A. Ruiz, E. Bergeaas Kuutmann, S. Kolos, R. Downing, J. E. Pilcher, Matteo Cavalli-Sforza, A. Manousakis, L. Pribyl, B. Salvachua, A. Gomes, Enrique Sanchis, Vincenzo Cavasinni, Petr Tas, J. Proudfoot, M. Simonyan, Polina Kuzhir, M.V. Castillo, Livio Mapelli, Tancredi Carli, R. J. Miller, Yu.F. Lomakin, V. A. Giakoumopoulou, Luiz Caloba, Kerstin Jon-And, J. Silva, Marina Cobal, Dominique Pallin, I. Jen-La Plante, Milos Lokajicek, Marzio Nessi, C. Bromberg, Calin Alexa, P. Stavina, L. Nodulman, E. Fullana, P. Grenier, Amir Farbin, A. S. Cerqueira, J. Pinhao, Jörgen Sjölin, E. Higon, Gokhan Unel, Ilya Korolkov, C. Haeberli, L. Miralles, Pavel Tsiareshka, A. Corso-Radu, D. G. Underwood, M. Volpi, Francesco Spanò, K. J. Anderson, Fukun Tang, A. Bogush, Michal Suk, Stanislav Tokár, A. Isaev, L. Tremblet, Stanislav Nemecek, V. Flaminio, M. Sosebee, V. M. Romanov, M. J. Oreglia, Fernando Marroquim, L. P. Says, V. Garde, G. Lehmann, V. Boldea, Jose Torres, Ivan Sykora, Dan Pantea, J. Castelo, J. Poveda, Andrei Kazarov, D. Errede, Sanda Dita, Oleg Solovyanov, Gerard Montarou, C. Guicheney, C. Ferdi, Antonio Ferrer, N. P. Gollub, Hans Peter Beck, M. Gruwe, J. Budagov, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and ATLAS
Subjects: Nuclear and High Energy Physics, Proton, Test-beam, Pion–proton response, Physics::Instrumentation and Detectors, Hadron, Monte Carlo method, Nuclear Theory, Hadronic shower development, 01 natural sciences, Electromagnetic radiation, Partícules (Física nuclear), Nuclear physics, Pion, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Detectors and Experimental Techniques, 010306 general physics, Nuclear Experiment, Instrumentation, Monte Carlo simulation, GEANT4, Detectors de radiació, Physics, Calorimeter, Large Hadron Collider, 010308 nuclear & particles physics, ATLAS, Longitudinal shower profile for hadrons, Scintillation counter, Physics::Accelerator Physics, High Energy Physics::Experiment, Parametrization
Abstract: The response of pions and protons in the energy range of 20–180 GeV, produced at CERN's SPS H8 test-beam line in the ATLAS iron–scintillator Tile hadron calorimeter, has been measured. The test-beam configuration allowed the measurement of the longitudinal shower development for pions and protons up to 20 nuclear interaction lengths. It was found that pions penetrate deeper in the calorimeter than protons. However, protons induce showers that are wider laterally to the direction of the impinging particle. Including the measured total energy response, the pion-to-proton energy ratio and the resolution, all observations are consistent with a higher electromagnetic energy fraction in pion-induced showers. The data are compared with GEANT4 simulations using several hadronic physics lists. The measured longitudinal shower profiles are described by an analytical shower parametrization within an accuracy of 5–10%. The amount of energy leaking out behind the calorimeter is determined and parametrized as a function of the beam energy and the calorimeter depth. This allows for a leakage correction of test-beam results in the standard projective geometry.
Published: 2010

24. The ATLAS DAQ System Online Configurations Database Service Challenge

Author: J.E. Sloper, Rodrigo Coura Torres, Igor Soloviev, Andrei Kazarov, J. Almeida, Marc Dobson, and Giovanna Lehmann Miotto
Subjects: History, Service (systems architecture), Database, Project commissioning, Relational database, Computer science, Atlas (topology), ATLAS experiment, Object manager, computer.software_genre, Data type, Database design, Computer Science Applications, Education, Data acquisition, computer
Abstract: This paper describes challenging requirements on the configuration service for the ATLAS experiment at CERN. It presents the status of the implementation and testing one year before the start of data taking, providing details of: 1. the capabilities of the underlying OKS object manager to store and to archive configuration descriptions, its user and programming interfaces; 2. the organization of configuration descriptions for different types of data taking runs and combinations of participating sub-detectors; 3. the scalable architecture to support simultaneous access to the service by thousands of processes during the online configuration stage of ATLAS; 4. the experience with the usage of the configuration service during large scale tests, test beam, commissioning and technical runs. The paper also presents pro and contra of the chosen object-oriented implementation compared with solutions based on pure relational database technologies, and explains why after several years of usage we continue with our approach.
Published: 2007

25. The ATLAS Data Acquisition and Trigger: concept, design and status

Author: J. Van Wasen, Y. Ermoline, M. P. Casado, H. Zobernig, H. K. Hadavand, G. Comune, R. E. Hughes-Jones, P. Rheaum, M. D. Ciobotaru, Brigitte Vachon, S. Klous, Thorsten Wengler, M. Abolins, Y. F. Ryabov, A. Misiejuk, A. Dotti, G. Cataldi, H. von der Schmitt, Shlomit Tarem, Giuseppe Mornacchi, J. L. Schlereth, Scott H. Robertson, E. Sole-Segura, Wainer Vandelli, R. Murillo-García, T. Kohno, Speranza Falciano, Mikhail Mineev, Robert Blair, Igor Alexandrov, Jiri Masik, Reinhard Männer, M. Seixas, Yasushi Nagasaka, Gabriella Gaudio, Hans Peter Beck, R. Spiwoks, J. V. Dawson, Mihai Caprini, A. Kootz, Gary Drake, Kostantinos Kordas, Andreas Kugel, P. Morettini, Enrico Pasqualucci, Yoshiji Yasu, Roberto Ferrari, B.J. Green, Nicolas Ellis, E. Thomas, Jos Vermeulen, T. Pauly, A. Gesualdi-Mello, Benedetto Gorini, E. Stefanidis, Alina Corso-Radu, V.J.O. Perera, M. Leahu, G. Crone, Royer Edson Ticse Torres, R. Cranfield, F. Parodi, Szymon Gadomski, T. Del Prete, C. Caramarcu, V. Perez-Reale, S. Kolos, M. Wiesmann, D. Prigent, Lamberto Luminari, J. Sloper, David Francis, C. Haeberli, Marcio Aparecido Muller, Rainer Stamen, S.R. Armstrong, A. Khomich, Mark D. Sutton, M. Della Pietra, Julie Kirk, Reiner Hauser, N.G. Unel, Aleandro Nisati, L. Leahu, I. Aracena, Fred Wickens, R.W. Dobinson, Martine Bosman, C. Lowe, Murrough Landon, M. L. Ferrer, C. Santamarina-Rios, V. M. Kotov, Erden Ertorer, Margherita Primavera, J. A. Strong, Antonio Sidoti, Krzysztof Korcyl, Kyle Cranmer, Andreas Warburton, G. Lehmann-Miotto, H. Garitaonandia, Livio Mapelli, L. Vaz Gil Lopes, G. Kieft, Denis Oliveira Damazio, Andrei Kazarov, W. Liu, M. Joos, James Pinfold, Z. Tarem, M. Le Vine, S. Gameiro, Francois Touchard, A. Ventura, Sergey V. Sushkov, Daniela Salvatore, R. Soluk, D. Burckhart-Chromek, A. Dos Anjos, S. Wheeler, B. G. Pope, C. Meessen, A. Di Mattia, M. Dobson, Nikolaos Konstantinidis, J.-O. Hansen, Valerio Vercesi, C. T. Potter, Serguei Sivoklokov, O. Gaumer, Tomasz Bold, N. Barros, W.N. Haberichter, M. Diaz-Gomaz, Sonia Kabana, N. Panikashvili, Xin Wu, António Amorim, T. Szymocha, K. Pretzl, Catalin Meirosu, Igor Soloviev, J. Petersen, Chiara Roda, S. Haas, Andrea Negri, G. Carlino, John Baines, T.R. McMahon, Per Werner, Simon George, Mingjian Yu, Carlo Schiavi, Roger Moore, Johannes Haller, Stefania Spagnolo, R. A. McLaren, B. Caron, Stefan Tapprogge, P. Teixeira-Dias, Massimiliano Bellomo, F. Marzano, S. J. Hillier, Christopher Bee, G. Kilvington, L. Tremblet, D. A. Scannicchio, Francesco Conventi, G. L. Usai, P. Conde-Muíño, Ingo Scholtes, Edoardo Gorini, B. Martin, Monika Wielers, A. De Santo, Alan Watson, A. Hocker, S. Stancu, E. E. Woehrling, Ricardo Gonçalo, E. Badescu, C. Padilla, M. Portes de Albuquerque, Werner Wiedenmann, A. J. Lankford, Michela Biglietti, Dmitry Emeliyanov, F. Zema, Tadashi Maeno, C. Osuna, J. A. Bogaerts, Diaz-Gomez, Manuel, Gaumer, Olivier, Wu, Xin, K., Korda, M., Abolin, I., Alexandrov, A., Amorim, I., Aracena, S., Armstrong, E., Badescu, J. T. M., Baine, N., Barro, H. P., Beck, C., Bee, M., Bellomo, M., Biglietti, R., Blair, J. A. C., Bogaert, T., Bold, M., Bosman, D., Burckhart Chromek, M., Caprini, C., Caramarcu, G., Carlino, B., Caron, M. P., Casado, G., Cataldi, M., Ciobotaru, G., Comune, P., Conde Muino, F., Conventi, A., Corso Radu, R., Cranfield, K., Cranmer, G., Crone, D., Damazio, J., Dawson, A., De Santo, T., Del Prete, M., Della Pietra, A., Di Mattia, M., Diaz Gomaz, R. W., Dobinson, M., Dobson, A., Dos Anjo, A., Dotti, G., Drake, N., Elli, D., Emeliyanov, Y., Ermoline, E., Ertorer, S., Falciano, R., Ferrari, M. L., Ferrer, D., Franci, S., Gadomski, S., Gameiro, H., Garitaonandia, G., Gaudio, O., Gaumer, S., George, A., Gesualdi Mello, R., Goncalo, B., Gorini, Gorini, Edoardo, B., Green, S., Haa, W. N., Haberichter, H., Hadavand, C., Haeberli, J., Haller, J., Hansen, R., Hauser, S. J., Hillier, A., Höcker, R. E., Hughes Jone, M., Joo, S., Kabana, A., Kazarov, A., Khomich, G., Kieft, G., Kilvington, J., Kirk, S., Klou, T., Kohno, S., Kolo, N., Konstantinidi, A., Kootz, K., Korcyl, V., Kotov, A., Kugel, M., Landon, A., Lankford, L., Leahu, M., Leahu, G., Lehmann Miotto, M. J., Le Vine, W., Liu, C., Lowe, L., Luminari, T., Maeno, R., Männer, L., Mapelli, B., Martin, F., Marzano, J., Masik, R., Mclaren, T., Mcmahon, C., Meessen, C., Meirosu, M., Mineev, A., Misiejuk, R., Moore, P., Morettini, G., Mornacchi, M., Müller, R., Murillo García, Y., Nagasaka, A., Negri, A., Nisati, C., Osuna, C., Padilla, N., Panikashvili, F., Parodi, E., Pasqualucci, T., Pauly, V., Perera, V., Pérez Réale, J., Petersen, J. L., Pinfold, B., Pope, M., Portes de Albuquerque, C., Potter, K., Pretzl, D., Prigent, Primavera, Margherita, P., Rheaum, S., Robertson, C., Roda, Y., Ryabov, D., Salvatore, C., Santamarina Rio, D. A., Scannicchio, C., Schiavi, J. L., Schlereth, I., Scholte, M., Seixa, A., Sidoti, S., Sivoklokov, J., Sloper, E., Sole Segura, I., Soloviev, R., Soluk, Spagnolo, Stefania Antonia, R., Spiwok, R., Stamen, S., Stancu, E., Stefanidi, J., Strong, S., Sushkov, M., Sutton, T., Szymocha, S., Tapprogge, S., Tarem, Z., Tarem, P., Teixeira Dia, E., Thoma, R., Torre, F., Touchard, L., Tremblet, N. G., Unel, G., Usai, B., Vachon, J., Van Wasen, W., Vandelli, L., Vaz Gil Lope, Ventura, Andrea, V., Vercesi, J., Vermeulen, H., von der Schmitt, A., Warburton, A., Watson, T., Wengler, P., Werner, S., Wheeler, F., Wicken, W., Wiedenmann, M., Wieler, M., Wiesmann, E. E., Woehrling, X., Wu, Y., Yasu, M., Yu, F., Zema, and H., Zobernig
Subjects: Nuclear and High Energy Physics, Data processing, High level trigger, Database, Atlas (topology), Project commissioning, Computer science, Data acquisition, ddc:500.2, ATLAS, computer.software_genre, Atomic and Molecular Physics, and Optics, Design for manufacturability, Data flow diagram, Trigger, Atlas data, Systems engineering, Detectors and Experimental Techniques, computer
Abstract: This article presents the base-line design and implementation of the ATLAS Trigger and Data Acquisition system, in particular the Data Flow and High Level Trigger components. The status of the installation and commissioning of the system is also presented.
Published: 2007

26. ATLAS dataFlow: The read-out subsystem, results from trigger and data-acquisition system testbed studies and from modeling

Author: Andrei Kazarov, Jos Vermeulen, Yoshiji Yasu, I. Soloviev, M. Gruwé, Benedetto Gorini, M. Joos, W. Haberichter, Giuseppe Mornacchi, R. A. McLaren, A. Misiejuk, E. Badescu, Richard Hughes-Jones, Catalin Meirosu, S. Stancu, Giovanna Lehmann Miotto, Marc Dobson, M. Wiesmann, Gokhan Unel, Roberto Ferrari, D. Burckhart-Chromek, Yasushi Nagasaka, D. Prigent, Hans Peter Beck, Reiner Hauser, C. Haeberli, R. E. Blair, J. W. Dawson, I. Alexandrov, A. Corso-Radu, W. Vandelli, C. Hinkelbein, R. Cranfield, M. Wu, S. Kolos, Fred Wickens, R.W. Dobinson, M. Caprini, L. Tremblet, G. Kieft, M.D. Ciobotaru, M.L. Ferrer, Yoji Hasegawa, Per Werner, Gary Drake, Andreas Kugel, M. Muller, B. Martin, B.J. Green, Livio Mapelli, Y. F. Ryabov, A. Dos Anjos, J. Sloper, M. Abolins, David Francis, J. Petersen, J. Schlereth, António Amorim, M.J. LeVine, K. Korcyl, Szymon Gadomski, S. Haas, R. Murillo, G. Crone, Kostantinos Kordas, J. A. Strong, R. Spiwoks, V. M. Kotov, Andrew Lankford, N. Barros, S. Gameiro, B. G. Pope, D. Klose, Y. Ermoline, and Mikhail Mineev
Subjects: Nuclear and High Energy Physics, Network architecture, Dataflow, Event (computing), business.industry, Computer science, Gigabit Ethernet, Testbed, Local area network, System testing, computer.software_genre, Data acquisition, Nuclear Energy and Engineering, Operating system, Detectors and Experimental Techniques, Electrical and Electronic Engineering, business, computer, Computer hardware
Abstract: In the ATLAS experiment at the LHC, the output of read-out hardware specific to each subdetector will be transmitted to buffers, located on custom made PCI cards ("ROBINs"). The data consist of fragments of events accepted by the first-level trigger at a maximum rate of 100 kHz. Groups of four ROBINs will be hosted in about 150 Read-Out Subsystem (ROS) PCs. Event data are forwarded on request via Gigabit Ethernet links and switches to the second-level trigger or to the Event builder. In this paper a discussion of the functionality and real-time properties of the ROS is combined with a presentation of measurement and modelling results for a testbed with a size of about 20% of the final DAQ system. Experimental results on strategies for optimizing the system performance, such as utilization of different network architectures and network transfer protocols, are presented for the testbed, together with extrapolations to the full system. © 2006 IEEE.
Published: 2006

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

Author: Alina Corso-Radu, Andrei Kazarov, J. Sloper, Y. Ryabov, and Giovanna Lehmann Miotto
Subjects: Nuclear and High Energy Physics, Downtime, Automatic control, business.industry, Computer science, System testing, Rule-based system, computer.software_genre, Application software, Software, Nuclear Energy and Engineering, Computer engineering, Control theory, Operating system, Software system, Electrical and Electronic Engineering, Detectors and Experimental Techniques, business, computer
Abstract: In order to meet the requirements of ATLAS data taking, the ATLAS Trigger-DAQ system is composed of O(1000) of applications running on more than 2600 computers in a network. With such system size, s/w and h/w failures are quite often. To minimize system downtime, the Trigger-DAQ control system shall include advanced verification and diagnostics facilities. The operator should use tests and expertise of the TDAQ and detectors developers in order to diagnose and recover from errors, if possible automatically. The TDAQ control system is built as a distributed tree of controllers, where behavior of each controller is defined in a rule-based language allowing easy customization. The control system also includes verification framework which allow users to develop and configure tests for any component in the system with different levels of complexity. It can be used as a stand-alone test facility for a small detector installation, as part of the general TDAQ initialization procedure, and for diagnosing the problems which may occur during the run time. The system is currently being used in TDAQ commissioning at the ATLAS pit and by subdetectors for stand-alone verification of the hardware before it is finally installed. The paper describes the architecture and implementation of TDAQ control system with more emphasis on the new features developed for the verification framework, features requested by users during it's exploitation in real environment.
Published: 2006

28. Process management inside ATLAS DAQ

Author: D. Burckhart-Chromek, A. Ribeiro, I. Alexandrov, Helmut Wolters, D. Schweiger, Lorenzo Moneta, Dietrich Liko, S. Kolos, Marc Dobson, E. Badescu, Livio Mapelli, António Amorim, Luis G. Pedro, Y. F. Ryabov, Igor Soloviev, R. W. L. Jones, V. Roumiantsev, R. Hart, Levi Lucio, M. Nassiakou, Andrei Kazarov, Mihai Caprini, Mikhail Mineev, V. M. Kotov, P.Y. Duval, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, and Damoiseaux, Magali
Subjects: Nuclear and High Energy Physics, Process management, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], 010304 chemical physics, Computer science, business.industry, Interface (computing), 01 natural sciences, Client–server model, Process management (computing), Software, Data acquisition, Nuclear Energy and Engineering, 0103 physical sciences, Scalability, Component-based software engineering, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Electrical and Electronic Engineering, 010306 general physics, Software architecture, business
Abstract: The Process Management component of the online software of the future ATLAS experiment data acquisition system is presented. The purpose of the Process Manager is to perform basic job control of the software components of the data acquisition system. It is capable of starting, stopping and monitoring the status of those components on the data acquisition processors independent of the underlying operating system. Its architecture is designed on the basis of a server client model using CORBA based communication. The server part relies on C++ software agent objects acting as an interface between the local operating system and client applications. Some of the major design challenges of the software agents were to achieve the maximum degree of autonomy possible, to create processes aware of dynamic conditions in their environment and with the ability to determine corresponding actions. Issues such as the performance of the agents in terms of time needed for process creation and destruction, the scalability of the system taking into consideration the final ATLAS configuration and minimizing the use of hardware resources were also of critical importance. Besides the details given on the architecture and the implementation, we also present scalability and performance tests results of the Process Manager system.
Published: 2001

29. The Error Reporting in the ATLAS TDAQ System.

Author: Serguei Kolos, Andrei Kazarov, and Lykourgos Papaevgeniou
Published: 2015
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources

Refine your results

29 results on '"Andrei Kazarov"'

1. Software Releases Management in the Trigger and Data Acquisition of Atlas Experiment - Integration, Building, Deployment, Patching.

2. Applications of Expert System Technology in the Atlas TDAQ Controls Framework.

3. OBK - An Online High Energy Physics' Meta-Data Repository.

4. THE CONTROLS AND CONFIGURATION SOFTWARE OF THE ATLAS DATA ACQUISITION SYSTEM FOR LHC RUN 2

5. Experience with Shifter Assistant - an intelligent tool to help operations of ATLAS TDAQ System in LHC Run 2

6. The Controls and Configuration Software of the ATLAS Data Acquisition System: evolution towards LHC Run 3

7. EXPERIENCE WITH SPLUNK FOR ARCHIVING AND VISUALISATION OF OPERATIONAL DATA IN ATLAS TDAQ SYSTEM

8. Test Management Framework for the Data Acquisition of the ATLAS Experiment

9. Testbeam studies of production modules of the ATLAS Tile Calorimeter

10. A Validation System for the Complex Event Processing Directives of the ATLAS Shifter Assistant Tool

11. Deployment of the ATLAS High-Level Trigger

12. Online software for the ATLAS test beam data acquisition system

13. The Error Reporting in the ATLAS TDAQ system

14. A Scalable and Reliable Message Transport Service for the ATLAS Trigger and Data Acquisition System

15. Performance of Splunk for the TDAQ Information Service at the ATLAS experiment

16. Configuration and control of the ATLAS trigger and data acquisition

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

18. Applications of advanced data analysis and expert system technologies in the ATLAS Trigger-DAQ Controls framework

19. Use of expert system and data analysis technologies in automation of error detection, diagnosis and recovery for ATLAS Trigger-DAQ Controls framework

20. The AAL project: automated monitoring and intelligent analysis for the ATLAS data taking infrastructure

21. Photon reconstruction in the ATLAS Inner Detector and Liquid Argon Barrel Calorimeter at the 2004 Combined Test Beam

22. Combined performance studies for electrons at the 2004 ATLAS combined test-beam

23. Measurement of pion and proton response and longitudinal shower profiles up to 20 nuclear interaction lengths with the ATLAS Tile calorimeter

24. The ATLAS DAQ System Online Configurations Database Service Challenge

25. The ATLAS Data Acquisition and Trigger: concept, design and status

26. ATLAS dataFlow: The read-out subsystem, results from trigger and data-acquisition system testbed studies and from modeling

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

28. Process management inside ATLAS DAQ

29. The Error Reporting in the ATLAS TDAQ System.

Catalog

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

29 results on '"Andrei Kazarov"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources