991113 SzGeCERN 20180529220316.0 oai:cds.cern.ch:991113 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1194605 ATL-DAQ-CONF-2006-016 eng ATL-COM-DAQ-2006-030 Gorini, B The ATLAS Data Acquisition and High-Level Trigger Concept, Design and Status 2006 Geneva CERN 05 May 2006 6 p The Trigger and Data Acquisition system (TDAQ) of the ATLAS experiment at the CERN Large Hadron Collider is based on a multi-level selection process and a hierarchical acquisition tree. The system, consisting of a combination of custom electronics and commercial products from the computing and telecommunication industry, is required to provide an online selection power of 105 and a total throughput in the range of Terabit/sec. This paper introduces the basic system requirements and concepts, describes the architecture of the system, discusses the basic measurements supporting the validity of the design and reports on the actual status of construction and installation. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN TDAQ CERN DAQ CERN requirements CERN architecture CERN measurements CERN DFM CERN SFI CERN L2PU CERN ROS CERN ROIB ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Abolins, M Alexandrov, I Amorim, A Aracena, I Armstrong, S Badescu, E Baines, J T M Barros, N Beck, H P Bee, C Bellomo, M Biglietti, M Blair, R Bogaerts, J A C CERN Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Burckhart-Chromek, D Caprini, M Caramarcu, C Carlino, G Caron, B Casado, M P Cataldi, G Ciobotaru, M Comune, G Conde-Muíño, P Conventi, F Corso-Radu, A Cranfield, R Cranmer, K Crone, G Damazio, D Dawson, J De Santo, A Del Prete, T Della Pietra, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Diaz-Gomaz, M Dobinson, Robert W Dobson, M Dos Anjos, A Dotti, A AUTHOR|(CDS)2075331 #BEARD# Drake, G AUTHOR|(CDS)2075062 #BEARD# Ellis, Nick Emeliyanov, D Ermoline, Y Ertorer, E Falciano, S Ferrari, R Ferrer, M L Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garitaonandia, H Gaudio, G Gaumer, O George, S Gesualdi-Mello, A Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Gorini, E Green, B Haas, S Haberichter, W N Hadavand, H Haeberli, C Haller, J Hansen, J Hauser, R Hillier, S J Höcker, A Hughes-Jones, R E Joos, M Kabana, S Kazarov, A Khomich, A Kieft, G Kilvington, G Kirk, J Klous, S Kohno, T Kolos, S Konstantinidis, N P Kootz, A Korcyl, K Kordas, K Kotov, V Kugel, A Landon, M Lankford, A Leahu, L Leahu, M Lehmann-Miotto, G Le Vine, M J Liu, W Lowe, A Luminari, L Maeno, T Männer, R Mapelli, L Martin, B Marzano, F Masik, J McLaren, R McMahon, T Meessen, C Meirosu, C Mineev, M Misiejuk, A Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Mornacchi, G Müller, M Murillo-García, R Nagasaka, Y Negri, A Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pauly, T Perera, V Pérez-Réale, V Petersen, J Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pope, B Portes de Albuquerqu, M Potter, C Pretzl, K AUTHOR|(CDS)2070669 #BEARD# Prigent, D Primavera, M Rheaum, P Robertson, S Roda, C AUTHOR|(CDS)2073273 #BEARD# Ryabov, Yu Salvatore, D Santamarina-Rios, C Scannicchio, D A Schiavi, C Schlereth, J L Scholtes, I Seixas, M Sidoti, A Sivoklokov, S Yu Sloper, J Sole-Segura, E Soloviev, I Soluk, R A Spagnolo, S Spiwoks, R Stamen, R Stancu, S Stefanidis, E Strong, J Sushkov, S Sutton, M Szymocha, T Tapprogge, S Tarem, S Tarem, Z Teixeira-Dias, P Thomas, E AUTHOR|(CDS)2067070 #BEARD# Torres, R Touchard, F Tremblet, L Unel, N G Usai, G AUTHOR|(CDS)2108766 #BEARD# Vachon, B Van Wasen, J Vandelli, W AUTHOR|(CDS)2070160 #BEARD# Vaz-Gil-Lopes, L Ventura, A Vercesi, V Vermeulen, J von der Schmitt, H Warburton, A AUTHOR|(CDS)2074040 #BEARD# Watson, A Wengler, T Werner, P Wheeler, S Wickens, F Wiedenmann, W Wielers, M Wiesmann, M Woerling, E E Wu, X AUTHOR|(CDS)2051427 #BEARD# Yasu, Y Yu, M Zema, F Zobernig, H PH-EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2006-016 Access to fulltext http://cds.cern.ch/record/991113/files/daq-conf-2006-016.pdf Access to fulltext http://cds.cern.ch/record/991113/files/daq-conf-2006-016.ps.gz Access to fulltext http://cds.cern.ch/record/991113/files/tdaq-chep06-gorini.ppt Access to fulltext benedetto.gorini@cern.ch n 200644 a2006 13 20090504 1537 CER01 20061024 824920 120-125 mumbai20060213 PUBLIC 002654055CER INTNOTEATLASPUBL ARTICLE ConferencePaper 990865 SzGeCERN 20161219131612.0 ATL-COM-DAQ-2006-028 eng CERN-ATL-COM-DAQ-2006-028 Ventura, A Muon Reconstruction and Identification for the Event Filter of the ATLAS experiment 2006 Geneva CERN 24 Oct 2006 5 p The ATLAS Trigger requires high efficiency and selectivity in order to keep the full physics potential of the experiment and to reject uninteresting processes from the 40 MHz event production rate of the LHC. These goals are achieved with a trigger composed of three sequential levels of increasing accuracy that have to reduce the output event rate down to ~ 100 Hz. This work focuses on muon reconstruction and identification for the third level (Event Filter), for which specific algorithms from the off-line environment have been adapted to work in the trigger framework. Two different strategies for accessing data (wrapped and seeded modes) are described and their reconstruction potential is then shown in terms of efficiencies, resolutions and fake muon rejection power. CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Muon CERN Trigger CERN Event Filter CERN INTNOTE PRIVATLAS CERN LHC ATLAS Dos Anjos, A Armstrong, S Baines, J T M Bee, C P Bellomo, M Biglietti, M Bogaerts, J A C CERN Bosman, M Carlino, G Caron, B Casado, M P Cataldi, G Cavalli, D Comune, G Conde, P Conventi, F Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A Ellis, Nick Emeliyanov, D Epp, B Falciano, S Garitaonandia, H George, S Ghete, V Goncalo, S Gorini, E Haller, J Kabana, S Khomich, A Kilvington, G Kirk, N Konstantinidis, N P Kootz, A Lankford, A J Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Moore, R Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Pinfold, J L Pinto, P Primavera, M Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Sobreira, A Soluk, R A Spagnolo, S Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E Touchard, F Usaib, G Venda-Pinto, B Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Communication&id=com-daq-2006-028 Access to fulltext document http://cds.cern.ch/record/990865/files/ATL-COM-DAQ-2006-028.pdf Access to fulltext document ventura@le.infn.it CERN n 200644 90 20070815 1153 CER01 20061024 794405 como20051017 PUBLIC 002653839CER INTNOTEATLASPRIV 821930 SzGeCERN 20180529220109.0 oai:cds.cern.ch:821930 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 705139 ATL-DAQ-CONF-2005-004 eng ATL-COM-DAQ-2005-008 CERN-ATL-DAQ-CONF-2005-004 Negri, A Design, deployment and functional tests of the on-line Event Filter for the ATLAS experiment at LHC 2005 Geneva CERN 2005 5 p The Event Filter selection stage is a fundamental component of the ATLAS Trigger and Data Acquisition architecture. Its primary function is the reduction of data flow and rate to values acceptable by the mass storage operations and by the subsequent off-line data reconstruction and analysis steps. The computing instrument of the EF is generally organized as a set of independent sub-farms, each connected to one output of the Event Builder switch fabric. Each sub-farm comprises a number of processors analyzing several complete events in parallel. This paper describes the design of the ATLAS EF system, its deployment in the 2004 ATLAS combined test beam together with some examples of integrating selection and monitoring algorithms. Since the processing algorithms are not specially designed for EF but are inherited as much as possible from the off-line ones, special emphasis is reserved to system reliability and data security, in particular for the case of failures in the processing algorithms. Another key design element has been system modularity and scalability. The EF shall be able to follow technology evolution and should allow for using additional processing resources possibly remotely located. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS CERN Dataflow CERN Event Filter CERN Trigger CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Armstrong, S Dos Anjos, A Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde-Muíño, P De Santo, A Díaz-Gómez, M Dosil, M Ellis, Nick Emeliyanov, D Epp, B Etienne, F Falciano, S Farilla, A George, S Gheteo, V González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luminari, L Maeno, T Masik, J Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Nikitin, N V Nisatip, A Padillaf, C Panikashvili, N Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP ATLAS High-Level Trigger Group 2004 IEEE Nuclear Science Symposium And Medical Imaging Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-004 Access to fulltext http://cds.cern.ch/record/821930/files/NSS-N31-5.ppt Access to fulltext http://cds.cern.ch/record/821930/files/daq-conf-2005-004.pdf Access to fulltext http://cds.cern.ch/record/821930/files/daq-conf-2005-004.ps.gz Access to fulltext andrea.negri@pv.infn.it n 200511 91 20081117 1211 CER01 20050214 684958 rome20041016 PUBLIC 002509163CER INTNOTEATLASPUBL Preprint ConferencePaper 981782 20250814162418.0 10.1142/9789812773678_0089 DOI oai:cds.cern.ch:981782 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:atlas-pub cerncds:CERN Inspire 706423 ATL-DAQ-PUB-2006-003 eng ATL-COM-DAQ-2005-044 Casado, M P Barcelona, IFAE Implementation and performance of a tau lepton selection within the ATLAS trigger system at the LHC 2006 Geneva CERN 17 Oct 2005 The ATLAS experiment at the Large Hadron Collider (LHC) has an interaction rate of up to $10^9$ Hz. The trigger must efficiently select interesting events while rejecting the large amount of background. The First Level trigger will reduce this rate to around $O(75$ kHz $)$. Subsequently, the High Level Trigger (HLT), comprising the Second Level trigger and the Event Filter, will reduce this rate by a factor of $O(10^3)$. Triggering on taus is important for Higgs and SUSY searches at the LHC. In this paper tau trigger selections are presented based on a lepton trigger if the tau decays leptonically or via a dedicated tau hadron trigger if the tau disintegrates semileptonically. We present signal efficiency with the electron trigger using the data sample $A\rightarrow \tau \tau \rightarrow e \, hadron$, and rate studies obtained from the dijet sample. CC-BY-4.0 Preprint PUB CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN A->tau tau-> electron hadron CERN tau trigger at the LHC CERN Tau trigger ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Dos Anjos, A Barcelona, IFAE Armstrong, S Barcelona, IFAE Baines, J T M Barcelona, IFAE Bee, C P Barcelona, IFAE Biglietti, M Barcelona, IFAE Bogarets, A Barcelona, IFAE Bosman, M Barcelona, IFAE AUTHOR|(CDS)2050984 #BEARD# Caron, B Barcelona, IFAE Cataldi, G Barcelona, IFAE Cavalli, D Barcelona, IFAE Comune, G Barcelona, IFAE Conde, P Barcelona, IFAE Crone, G Barcelona, IFAE Damazio, D Barcelona, IFAE De Santo, A Barcelona, IFAE Díaz-Gómez, M Barcelona, IFAE Di Mattia, A Barcelona, IFAE AUTHOR|(CDS)2071387 #BEARD# Ellis, Nick Barcelona, IFAE Emeliyanov, D Barcelona, IFAE Epp, B Barcelona, IFAE Falciano, S Barcelona, IFAE Garitaonandia, H Barcelona, IFAE George, S Barcelona, IFAE Ghete, V Barcelona, IFAE Goncalo, R Barcelona, IFAE AUTHOR|(CDS)2068159 #BEARD# Haller, J Barcelona, IFAE Kabana, S Barcelona, IFAE Khomich, A Barcelona, IFAE Kilvington, G Barcelona, IFAE Kirk, J Barcelona, IFAE Konstantinidis, N P Barcelona, IFAE Kootz, A Barcelona, IFAE Lankford, A J Barcelona, IFAE Lowe, A Barcelona, IFAE Luminari, L Barcelona, IFAE Maeno, T Barcelona, IFAE Massik, J Barcelona, IFAE Messen, C Barcelona, IFAE Mello, A G Barcelona, IFAE Moore, R Barcelona, IFAE Morettini, P Barcelona, IFAE Negri, A Barcelona, IFAE Nikitin, N Barcelona, IFAE Nisati, A Barcelona, IFAE Osuna, C Barcelona, IFAE Padilla, C Barcelona, IFAE Panikashvilli, N Barcelona, IFAE Parodi, F Barcelona, IFAE Pasqualucci, E Barcelona, IFAE Pérez-Réale, V Barcelona, IFAE Pinfold, J L Barcelona, IFAE AUTHOR|(CDS)2072623 #BEARD# Pinto, P Barcelona, IFAE Qian, Z Barcelona, IFAE Resconi, S Barcelona, IFAE Rosati, S Barcelona, IFAE Sánchez, C Barcelona, IFAE Santamarina-Rios, C Barcelona, IFAE Scannicchio, D A Barcelona, IFAE Schiavi, C Barcelona, IFAE Segura, E Barcelona, IFAE De Seixas, J M Barcelona, IFAE Sivoklokov, S Yu Barcelona, IFAE Sobreira, A Barcelona, IFAE Soluk, R A Barcelona, IFAE Stefanidis, E Barcelona, IFAE Sushkov, S Barcelona, IFAE Sutton, M Barcelona, IFAE Tapprogge, S Barcelona, IFAE Tarem, S Barcelona, IFAE Thomas, E Barcelona, IFAE AUTHOR|(CDS)2067070 #BEARD# Touchard, F Barcelona, IFAE Usai, G Barcelona, IFAE AUTHOR|(CDS)2070593 #BEARD# Venda-Pinto, B Barcelona, IFAE Ventura, A Barcelona, IFAE Vercesi, V Barcelona, IFAE Wengler, T Barcelona, IFAE Werner, P Barcelona, IFAE Wheeler, S J Barcelona, IFAE Wickens, F J Barcelona, IFAE Wiedenmann, M Barcelona, IFAE Wielers, M Barcelona, IFAE Zobernig, H Barcelona, IFAE PH-EP ATLAS High-Level Trigger Group PH 180056 http://cds.cern.ch/record/981782/files/daq-pub-2006-003.pdf Fulltext 923010 http://cds.cern.ch/record/981782/files/daq-pub-2006-003.ps.gz Fulltext casado@ifae.es n 200609 a2006 13 20100125 1203 CER01 20060905 794405 546-550 como20051017 PUBLIC 002644826CER INTNOTEATLASPUBL ARTICLE ConferencePaper 002585683CER01 002599305CER01 820782 SzGeCERN 20180529171230.0 oai:cds.cern.ch:820782 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 733689 ATL-DAQ-CONF-2005-013 eng ATL-COM-DAQ-2005-004 Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Online Muon Reconstruction in the ATLAS Level-2 trigger system 2004 Geneva CERN 2004 7 p To cope with the 40 MHz event production rate of LHC, the trigger of the ATLAS experiment selects the events in three sequential steps of increasing complexity and accuracy whose final results are close to the offline reconstruction. The Level-1, implemented with custom hardware, identifies physics objects within Regions of Interests and operates a first reduction of the event rate to 75 KHz. The higher trigger levels provide a software based event selection which further reduces the event rate to about 100 Hz. This paper presents the algorithm (muFast) employed at Level-2 to confirm the muon candidates flagged by the Level-1. muFast identifies hits of muon tracks inside the Muon Spectrometer and provides a precise measurement of the muon momentum at the production vertex. The algorithm must process the Level-1 muon output rate (~20 KHz), thus a particular care has been used for its optimization. The result is a very fast track reconstruction algorithm with good physics performances which, in some cases, approach those of the offline reconstruction: it computes the pT of prompt muons with a resolution of 5.5% at 6 GeV and 4.0% at 20 GeV and with an efficiency of about 95%. The algorithm requires an overall execution time of ~1 ms on a 100 SpecInts95 machine. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Level-2 CERN muon CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Dos Anjos, A Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde-Muíño, P De Santo, A Díaz-Gómez, M Dosil, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luci, C Luminari, L Maeno, T Marzano, F Masik, J Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N V Nisati, A Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 2004 IEEE Nuclear Science Symposium And Medical Imaging Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-013 Access to fulltext http://cds.cern.ch/record/820782/files/Poster_IEEE.ppt Access to fulltext http://cds.cern.ch/record/820782/files/daq-conf-2005-013.doc Access to fulltext alessandro.dimattia@roma1.infn.it n 200511 91 20070927 1624 CER01 20050207 684958 rome20041016 PUBLIC 002508156CER INTNOTEATLASPUBL Preprint ConferencePaper 621562 SzGeCERN 20230315150822.0 oai:cds.cern.ch:621562 cerncds:FULLTEXT cerncds:physics cerncds:CERN:FULLTEXT cerncds:CERN DOI 10.1016/j.nima.2003.11.079 WAI01 000011902 CERN annual report 2004-3.0070 SPIRES 5579031 arXiv oai:arXiv.org:physics/0306097 Inspire 621033 arXiv physics/0306097 physics.comp-ph CHEP-2003-WEPT004 eng ATL-DAQ-2003-030 ATL-COM-DAQ-2003-016 CERN-ATL-DAQ-2003-030 Grothe, Monika CERN Architecture of the ATLAS High Level Trigger Event Selection Software A TOROIDAL LHC APPARATUS LARGE HADRON COLLIDER 2004 Geneva CERN 12 Jun 2003 10 p arXiv Plenary talk at CHEP03, LA Jolla, California, March 2003; PSN: WEPT004 The ATLAS High Level Trigger (HLT) consists of two selection steps: the second level trigger and the event filter. Both will be implemented in software, running on mostly commodity hardware. Both levels have a coherent approach to event selection, so a common core software framework has been designed to maximize this coherency, while allowing sufficient flexibility to meet the different interfaces and requirements of the two different levels. The approach is extended further to allow the software to run in an off-line simulation and reconstruction environment for the purposes of development. This paper describes the architecture and high level design of the software. arXiv The ATLAS High Level Trigger (HLT) consists of two selection steps: the second level trigger and the event filter. Both will be implemented in software, running on mostly commodity hardware. Both levels have a coherent approach to event selection, so a common core software framework has been designed to maximize this coherency, while allowing sufficient flexibility to meet the different interfaces and requirements of the two different levels. The approach is extended further to allow the software to run in an off-line simulation and reconstruction environment for the purposes of development. This paper describes the architecture and high level design of the software. Preprint CC-BY-4.0 Publication Elsevier B.V. 2003 PUB SIS CERN EDS SIS ATLAS2003 LANL EDS SzGeCERN DAQ and Trigger SzGeCERN Detectors and Experimental Techniques SzGeCERN Other Fields of Physics ARTICLE CERN INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS LANL EDS Computational Physics LANL EDS Physics Armstrong, S. Assamagan, K.A. INSPIRE-00152949 Baines, J.T. INSPIRE-00063905 Bee, C.P. Biglietti, M. INSPIRE-00211510 Bogaerts, A. INSPIRE-00211623 Boisvert, V. INSPIRE-00067915 Bosman, M. Brandt, S. Caron, B. INSPIRE-00071238 Casado, P. Cataldi, G. INSPIRE-00255325 Cavalli, D. INSPIRE-00212386 Cervetto, M. Comune, G. Corso-Radu, A. INSPIRE-00305712 Di Mattia, A. INSPIRE-00213418 Diaz Gomez, M. dos Anjos, A. INSPIRE-00213659 Drohan, J. Ellis, N. Elsing, M. INSPIRE-00213874 Epp, B. INSPIRE-00213900 Etienne, F. Falciano, S. INSPIRE-00214026 Farilla, A. INSPIRE-00214063 George, S. INSPIRE-00084316 Ghete, V. Gonzalez, S. Kaczmarska, A. INSPIRE-00216330 Karr, K. Khomich, A. INSPIRE-00170230 Konstantinidis, N. INSPIRE-00097667 Krasny, W. INSPIRE-00218435 Li, W. Lowe, A. Luminari, L. Ma, H. Meessen, C. Mello, A.G. Merino, G. Morettini, P. Moyse, E. Nairz, A. Negri, A. INSPIRE-00306082 Nikitin, N. Nisati, A. Padilla, C. INSPIRE-00306128 Parodi, F. INSPIRE-00339598 Perez-Reale, V. INSPIRE-00306149 Pinfold, J.L. Pinto, P. Polesello, G. Qian, Z. Rajagopalan, S. Resconi, S. Rosati, S. Scannicchio, D.A. Schiavi, C. Schoerner-Sadenius, Thomas Segura, E. Shears, T. Sivoklokov, S. Smizanska, M. Soluk, R. Stanescu, C. Stavropoulos, G. Tapprogge, S. Touchard, F. Vercesi, V. Watson, A. Wengler, T. Werner, P. Wheeler, S. Wickens, F.J. Wiedenmann, W. Wielers, M. Zobernig, H. EP ATLAS High-Level Trigger Group CHEP 2003 Computing in High Energy Physics Grothe, Monika 537-541 Nucl. Instrum. Methods Phys. Res., A 518 C03-05-25 2004 http://weblib.cern.ch/abstract?ATL-DAQ-2003-030 http://www.slac.stanford.edu/spires/find/video/www?irn=13102 Watch the video of the talk http://www.slac.stanford.edu/econf/C0303241/proc/papers/_vti_cnf/WEPT004.PDF Proceedings write-up on eConf 1270884 247762 http://cds.cern.ch/record/621562/files/arXiv:physics_0306097.pdf 14535 1814782 http://cds.cern.ch/record/621562/files/daq-2003-030.ps.gz Access to fulltext 14535 256628 http://cds.cern.ch/record/621562/files/daq-2003-030.pdf Access to fulltext 14536 961024 http://cds.cern.ch/record/621562/files/Chep_Grothe.ppt Access to fulltext 14537 245309 http://cds.cern.ch/record/621562/files/0306097.pdf Access to fulltext document 14537 33579 http://cds.cern.ch/record/621562/files/0306097.ps.gz Access to fulltext document monika.grothe@cern.ch n 200324 a2004 13 20100906 0951 CER01 20030613 595224 WEPT004 labiodola20030525 PUBLIC 002382075CER INTNOTEATLASPUBL ARTICLE ConferencePaper 002411894CER01 934462 SzGeCERN 20180529220626.0 oai:cds.cern.ch:934462 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1196479 ATL-DAQ-CONF-2006-019 eng ATL-COM-DAQ-2006-010 Ünel, G Studies with the ATLAS Trigger and Data Acquisition "Pre-Series'' Setup 2006 Geneva CERN 01 Mar 2006 The pre-series test bed is used to validate the technology and implementation choices by comparing the final ATLAS readout requirements, to the results of performance, functionality and stability studies. We show that all the components which are not running reconstruction algorithms match the final ATLAS requirements. For the others, we calculate the amount of time per event that could be allocated to run these not-yet-finalized algorithms. We also report on the experience gained during these studies while interfacing with a sub-detector for the first time at the experimental area. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Abolins, M Adragna, P AUTHOR|(CDS)2074098 #BEARD# Alexandrov, I Amorim, A Armstrong, S Badescu, E Baines, J T M Barros, N Beck, H P Bee, C Blair, R Bogaerts, J A C CERN Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Burckhart-Chromek, Doris Caprini, M Caramarcu, C Ciobotaru, M Comune, G Corso-Radu, A Cranfield, R Crone, G Dawson, J Della Pietra, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dobson, M Dos Anjos, A Dotti, A AUTHOR|(CDS)2075331 #BEARD# Drake, G AUTHOR|(CDS)2075062 #BEARD# Ellis, Nick Ermoline, Y Ertorer, E Falciano, S Ferrari, R Ferrer, M L Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garcia-Murillo, R Garitaonandia, H Gaudio, G George, S Gesualdi-Mello, A Gorini, B Green, B Haas, S Haberichter, W N Hadavand, H Haeberli, C Haller, J Hansen, J Hauser, R Hillier, S J Hughes-Jones, R E Höcker, A Joos, M Kazarov, A Kieft, G Klous, S Kohno, T Kolos, S Korcyl, K Kordas, K Kotov, V Kugel, A Landon, M Lankford, A Le Vine, M J Leahu, L Leahu, M Lehmann-Miotto, G Liu, W Maeno, T Mapelli, L Martin, B Masik, J McLaren, R Meessen, C Meirosu, C Mineev, M Misiejuk, A Morettini, P Mornacchi, G Männer, R Müller, M Nagasaka, Y Negri, A Padilla, C Pasqualucci, E Pauly, T Perera, V Petersen, J Pope, B Pretzl, K AUTHOR|(CDS)2070669 #BEARD# Prigent, D Roda, C AUTHOR|(CDS)2073273 #BEARD# Ryabov, Yu Salvatore, D Schiavi, C Schlereth, J L Scholtes, I Seixas, M Sloper, J Sole-Segura, E Soloviev, I Spiwoks, R Stamen, R Stancu, S Strong, J Sushkov, S Szymocha, T Tapprogge, S Teixeira-Dias, P Torres, R Touchard, F Tremblet, L Vandelli, W AUTHOR|(CDS)2070160 #BEARD# Vermeulen, J C Wengler, T Werner, P Wheeler, S Wickens, F Wiedenmann, W Wiesmann, M Yu, M Zema, F Zobernig, H De Albuquerqu Portes, M PH-EP Computing In High Energy and Nuclear Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2006-019 Access to fulltext http://cds.cern.ch/record/934462/files/Chep06-talk-no-g-slide.ppt Access to fulltext http://cds.cern.ch/record/934462/files/daq-conf-2006-019.pdf Access to fulltext http://cds.cern.ch/record/934462/files/daq-conf-2006-019.ps.gz Access to fulltext gokhan.unel@cern.ch n 200614 a2006 13 20090504 1538 CER01 20060314 824920 922-926 mumbai20060213 PUBLIC 002601989CER INTNOTEATLASPUBL ARTICLE ConferencePaper 941077 SzGeCERN 20180529171234.0 oai:cds.cern.ch:941077 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN SPIRES 7927770 Inspire 740975 ATL-DAQ-CONF-2006-002 eng ATL-COM-DAQ-2006-008 CERN-ATL-DAQ-CONF-2006-002 Burckhart-Chromek, Doris CERN Testing on a Large Scale running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes 2006 Geneva CERN 09 Mar 2006 6 p The ATLAS Data Acquisition (DAQ) and High Level Trigger (HLT) software system will be comprised initially of 2000 PC nodes which take part in the control, event readout, second level trigger and event filter operations. This high number of PCs will only be purchased before data taking in 2007. The large CERN IT LXBATCH facility provided the opportunity to run in July 2005 online functionality tests over a period of 5 weeks on a stepwise increasing farm size from 100 up to 700 PC dual nodes. The interplay between the control and monitoring software with the event readout, event building and the trigger software has been exercised the first time as an integrated system on this large scale. New was also to run algorithms in the online environment for the trigger selection and in the event filter processing tasks on a larger scale. A mechanism has been developed to package the offline software together with the DAQ/HLT software and to distribute it via peer-to-peer software efficiently to this large pc cluster. The findings obtained during the tests lead to many immediate improvements in the software. Trend analysis allowed identifying critical areas. Running an online system on a cluster of 700 nodes successfully was found to be especially sensitive to the reliability of the farm as well as the DAQ/HLT system itself and the future development will concentrate on fault tolerance and stability. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN large scale CERN DAQ/HLT CERN testing CERN tests CERN functionality tests CERN performance tests CERN integration tests CERN lxbatch ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Abolins, M Adragna, P AUTHOR|(CDS)2074098 #BEARD# Albuquerque-Portes, M Alexandrov, L Amorim, A Armstrong, S Badescu, E Baines, J T M Barros, N Beck, H P Bee, C Blair, R Bogaerts, J A C CERN Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caprini, M Caramarcu, C Ciobotaru, M Comune, G Corso-Radu, A Cranfield, R Crone, G Dawson, J Della Pietra, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dobinson, Robert W Dobson, M Dos Anjos, A Dotti, A AUTHOR|(CDS)2075331 #BEARD# Drake, G AUTHOR|(CDS)2075062 #BEARD# Ellis, Nick Ermoline, Y Ertorer, E Falciano, S Ferrari, R Ferrer, M L Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garcia-Murillo, R Garitaonandia, H Gaudio, G George, S Gesualdi-Mello, A Gorini, B Green, B Haas, S Haberichter, W N Hadavand, H Haeberli, C Haller, J Hansen, J Hauser, R Hillier, S J Hughes-Jones, R E Höcker, A Joos, M Kazarov, A Kieft, G Klous, S Kohno, T Kolos, S Korcyl, K Kordas, K Kotov, V Kugel, A Landon, M Lankford, A Le Vine, M J Leahu, L Leahu, M Lehmann-Miotto, G Liu, W Maeno, T Mapelli, L Martin, B Masik, J McLaren, R Meessen, C Meirosu, C Mineev, M Misiejuk, A Morettini, P Mornacchi, G Männer, R Müller, M Nagasaka, Y Negri, A Padilla, C Pasqualucci, E Pauly, T Perera, V Petersen, J Pope, B Pretzl, K AUTHOR|(CDS)2070669 #BEARD# Prigent, D Roda, C AUTHOR|(CDS)2073273 #BEARD# Ryabov, Yu Salvatore, D Schiavi, C Schlereth, J L Scholtes, I Seixas, M Sloper, J Sole-Segura, E Soloviev, I Spiwoks, R Stamen, R Stancu, S Strong, S Sushkov, S Szymocha, T Tapprogge, S Teixeira-Dias, P Torres, R Touchard, F Tremblet, L Van Wasen, J Vandelli, W AUTHOR|(CDS)2070160 #BEARD# Vaz-Gil-Lopes, L Vermeulen, J C Wengler, T Werner, P Wheeler, S Wickens, F Wiedenmann, W Wiesmann, M Wu, X AUTHOR|(CDS)2051427 #BEARD# Yasu, Y Yu, M Zema, F Zobernig, H von der Schmitt, H Ünel, G PH-EP Computing In High Energy and Nuclear Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2006-002 Access to fulltext http://cds.cern.ch/record/941077/files/LST05atCHEP06_64.ppt Access to fulltext http://cds.cern.ch/record/941077/files/daq-conf-2006-002.doc Access to fulltext doris.burckhart@cern.ch n 200614 a2006 13 20100906 0951 CER01 20060314 824920 60-65 mumbai20060213 PUBLIC 002608281CER INTNOTEATLASPUBL ARTICLE ConferencePaper 933970 SzGeCERN 20180529171232.0 oai:cds.cern.ch:933970 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN SPIRES 7927770 SPIRES 7927770 ATL-DAQ-CONF-2006-002 eng ATL-COM-DAQ-2006-008 CERN-ATL-DAQ-CONF-2006-002 Burckhart-Chromek, Doris CERN Testing on a Large Scale Running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes 2006 Geneva CERN 09 Mar 2006 6 p The ATLAS Data Acquisition (DAQ) and High Level Trigger (HLT) software system will be comprised initially of 2000 PC nodes which take part in the control, event readout, second level trigger and event filter operations. This high number of PCs will only be purchased before data taking in 2007. The large CERN IT LXBATCH facility provided the opportunity to run in July 2005 online functionality tests over a period of 5 weeks on a stepwise increasing farm size from 100 up to 700 PC dual nodes. The interplay between the control and monitoring software with the event readout, event building and the trigger software has been exercised the first time as an integrated system on this large scale. New was also to run algorithms in the online environment for the trigger selection and in the event filter processing tasks on a larger scale. A mechanism has been developed to package the offline software together with the DAQ/HLT software and to distribute it via peer-to-peer software efficiently to this large pc cluster. The findings obtained during the tests lead to many immediate improvements in the software. Trend analysis allowed identifying critical areas. Running an online system on a cluster of 700 nodes successfully was found to be especially sensitive to the reliability of the farm as well as the DAQ/HLT system itself and the future development will concentrate on fault tolerance and stability. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN large scale, DAQ/HLT, testing, tests, functionality tests, performance tests, integration tests, lxbatch, ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Abolins, M Adragna, P AUTHOR|(CDS)2074098 #BEARD# Alexandrov, L Amorim, A Armstrong, S Badescu, E Baines, J T M Barros, N Beck, H P Bee, C Blair, R Bogaerts, J A C CERN Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caprini, M Caramarcu, C Ciobotaru, M CERN Comune, G Corso-Radu, A CERN Cranfield, R Crone, G Dawson, J Della Pietra, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dobinson, Robert W CERN Dobson, M CERN Dos Anjos, A Dotti, A AUTHOR|(CDS)2075331 #BEARD# Drake, G AUTHOR|(CDS)2075062 #BEARD# Ellis, Nick CERN Ermoline, Y Ertorer, E Falciano, S Ferrari, R Ferrer, M L Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garitaonandia, H Gaudio, G George, S Gesualdi-Mello, A Gorini, B Green, B Haas, S Haberichter, W N Hadavand, H Haeberli, C Haller, J Hansen, J Hauser, R Hillier, S J Höcker, A Hughes-Jones, R E Joos, M Kazarov, A Kieft, G Klous, S Kohno, T Kolos, S Korcyl, K Kordas, K Kotov, V Kugel, A Landon, M Lankford, A Leahu, L Leahu, M Lehmann-Miotto, G Le Vine, M J Liu, W Maeno, T Männer, R Mapelli, L Martin, B Masik, J McLaren, R Meessen, C Meirosu, C Mineev, M Misiejuk, A Morettini, P Mornacchi, G Müller, M Garcia-Murillo, R Nagasaka, Y Negri, A Padilla, C Pasqualucci, E Pauly, T Perera, V Petersen, J Pope, B Albuquerque-Portes, M Pretzl, K AUTHOR|(CDS)2070669 #BEARD# Prigent, D Roda, C AUTHOR|(CDS)2073273 #BEARD# Ryabov, Yu Salvatore, D Schiavi, C Schlereth, J L Scholtes, I Sole-Segura, E Seixas, M Sloper, J Soloviev, I Spiwoks, R Stamen, R Stancu, S Strong, S Sushkov, S Szymocha, T Tapprogge, S Teixeira-Dias, P Torres, R Touchard, F Tremblet, L Ünel, G Van Wasen, J Vandelli, W AUTHOR|(CDS)2070160 #BEARD# Vaz-Gil-Lopes, L Vermeulen, J C von der Schmitt, H Wengler, T Werner, P CERN Wheeler, S Wickens, F Wiedenmann, W Wiesmann, M CERN Wu, X AUTHOR|(CDS)2051427 #BEARD# Yasu, Y Yu, M Zema, F Zobernig, H PH-EP Computing In High Energy and Nuclear Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2006-002 Access to fulltext http://cds.cern.ch/record/933970/files/LST05atCHEP06_64.ppt Access to fulltext http://cds.cern.ch/record/933970/files/daq-conf-2006-002.doc Access to fulltext doris.burckhart@cern.ch n 200616 a2006 13 20100906 0951 CER01 20060309 824920 60-65 mumbai20060213 PUBLIC 002601749CER INTNOTEATLASPUBL ARTICLE ConferencePaper 826161 SzGeCERN 20160629175656.0 oai:cds.cern.ch:826161 cerncds:CERN CERN annual report 2004-3.0039 SPIRES 5910862 eng Armstrong, S R Algorithms for the ATLAS High Level Trigger 2004 Following rigorous software design and analysis methods, an object-based architecture has been developed to derive the second- and third-level trigger decisions for the future ATLAS detector at the LHC. The functional components within this system responsible for generating elements of the trigger decisions are algorithms running within the software architecture. Relevant aspects of the architecture are reviewed along with concrete examples of specific algorithms and their performance in "vertical" slices of various physics selection strategies. SIS INSP2004 E200433-8309049 (Compendex) SzGeCERN Detectors and Experimental Techniques INSPEC Online-reconstruction INSPEQ Trigger-decisions INSPEC ATLAS-detectors INSPEC Transition-radiation-trackers-TRT INSPEC High-energy-physics INSPEC Particle-detectors INSPEC computer software INSPEC computer architecture INSPEC Argon INSPEC Calorimeters INSPEC Decision-theory INSPEC Online-systems INSPEC Algorithms ARTICLE CERN CERN LHC ATLAS Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Gomez, M D Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A T Wengler, T Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, H PH-EP PESA Core Algorithms Group 367-374 3 IEEE Trans. Nucl. Sci. 51 2004 n 200400 a2004 13 20100901 1606 CER01 20050308 PUBLIC 002513030CER ARTICLE 934208 SzGeCERN 20180529220621.0 oai:cds.cern.ch:934208 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1194593 ATL-DAQ-CONF-2007-002 eng ATL-COM-DAQ-2006-009 Kordas, K ATLAS High Level Trigger Infrastructure, ROI Collection and Event Building 2006 Geneva CERN 28 Feb 2006 We describe the base-line design and implementation of the Data Flow and High Level Trigger (HLT) part of the ATLAS Trigger and Data Acquisition (TDAQ) system. We then discuss improvements and generalization of the system design to allow the handling of events in parallel data streams and we present the possibility for event duplication, partial Event Building and data stripping. We then present tests on the deployment and integration of the TDAQ infrastructure and algorithms at the TDAQ â€?pre-series” cluster (~10% of full ATLAS TDAQ). Finally, we tackle two HLT performance issues. CC-BY-4.0 Preprint CONF Authors already on Inspire CERN EDS giva a faire SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Event building CERN HLT tests CERN TDAQ CERN data sreams CERN multicore machines ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Baines, J T M Beck, H P Bee, C Bogaerts, A Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Comune, G Cranfield, R Crone, G Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dos Anjos, A Ellis, Nick Ertorer, E Falciano, S Ferrari, R Ferrer, M L Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garitaonandia, H George, S Gesualdi-Mello, A Gorini, B Green, B Haeberli, C Haller, J Hauser, R Joos, M Kieft, G Klous, S Kugel, A Lankford, A Liu, W Maeno, T Masik, J Meessen, C Misiejuk, A Morettini, P Müller, M Nagasaka, Y Negri, A Padilla, C Pasqualucci, E Pauly, T Perera, V J O Petersen, J Portes de Albuquerque, M Schiavi, C Schlereth, J L Segura, E Seixas, M Spiwoks, R Stamen, R Strong, J Sushkov, S Tapprogge, S Teixeira-Dias, P Torres, R Touchard, F Tremblet, L Ünel, G Vandelli, W AUTHOR|(CDS)2070160 #BEARD# Van Wasen, J Vermeulen, J Werner, P Wheeler, S Wickens, F Wiedenmann, W Wu, X AUTHOR|(CDS)2051427 #BEARD# Yasu, Y Yu, M Zobernig, H PH-EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2007-002 Access to fulltext http://cds.cern.ch/record/934208/files/CHEP06_Kordas_paper_final.doc Access to fulltext http://cds.cern.ch/record/934208/files/Kordas_CHEP06.ppt Access to fulltext http://cds.cern.ch/record/934208/files/daq-conf-2007-002.pdf Access to fulltext http://cds.cern.ch/record/934208/files/daq-conf-2007-002.ps.gz Access to fulltext kostas.kordas@cern.ch n 200614 a2006 13 20110110 0917 CER01 20060310 824920 74-79 mumbai20060213 PUBLIC 002601987CER INTNOTEATLASPUBL ARTICLE ConferencePaper 619642 20180529221201.0 oai:cds.cern.ch:619642 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN cerncds:hep-ex WAI01 000011984 SPIRES 5568641 arXiv oai:arXiv.org:hep-ex/0306009 Inspire 620182 hep-ex/0306009 eng ATL-COM-DAQ-2003-051 CERN-ATL-DAQ-2003-031 ATL-DAQ-2003-031 Comune, G. Bern U., LHEP The Algorithm Steering and Trigger Decision mechanism of the ATLAS High Level Trigger 2003 Geneva CERN 3 Jun 2003 8 p Comments: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 8 pages, PDF, PSN TUGT007 Given the extremely high output rate foreseen at LHC and the general-purpose nature of ATLAS experiment, an efficient and flexible way to select events in the High Level Trigger is needed. An extremely flexible solution is proposed that allows for early rejection of unwanted events and an easily configurable way to choose algorithms and to specify the criteria for trigger decisions. It is implemented in the standard ATLAS object-oriented software framework, Athena. The early rejection is achieved by breaking the decision process down into sequential steps. The configuration of each step defines sequences of algorithms which should be used to process the data, and 'trigger menus' that define which physics signatures must be satisfied to continue on to the next step, and ultimately to accept the event. A navigation system has been built on top of the standard Athena transient store (StoreGate) to link the event data together in a tree-like structure. This is fundamental to the seeding mechanism, by which data from one step is presented to the next. The design makes it straightforward to utilize existing off-line reconstruction data classes and algorithms when they are suitable CC-BY-4.0 Preprint PUB LANL EDS SIS ATLAS2003 SIS CERN EDS SzGeCERN Particle Physics - Experiment CERN ATLAS CERN Decision CERN PESA CERN Steering CERN Step CERN Trigger CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS ARTICLE CERN LHC ATLAS LANL EDS High Energy Physics - Experiment Corso-Radu, A. INSPIRE-00305712 Bern U., LHEP Elsing, M. INSPIRE-00213874 CERN Grothe, M. CERN Schoerner-Sadenius, Thomas CERN Wicke, D. INSPIRE-00300564 Wuppertal U. George, S. INSPIRE-00084316 Royal Holloway, U. of London Lowe, A. Royal Holloway, U. of London Shears, T. Liverpool U. Baines, J.T. INSPIRE-00063905 Rutherford Gonzalez, S. Wisconsin U., Madison EP TUGT007 eConf C0303241 2003 http://weblib.cern.ch/abstract?ATL-DAQ-2003-031 ATL-DAQ-2003-031 CERNREP http://cdsweb.cern.ch/search.py?sysno=002378313CER 002378313CER CERNNO http://www.slac.stanford.edu/econf/C0303241/proc/papers/_vti_cnf/TUGT007.PDF ECONF 14533 2127844 http://cds.cern.ch/record/619642/files/daq-2003-031.ps.gz Access to fulltext 14533 368943 http://cds.cern.ch/record/619642/files/daq-2003-031.pdf Access to fulltext 14534 117760 http://cds.cern.ch/record/619642/files/steering-chep.ppt Access to fulltext gianluca.comune@cern.ch n 200323 13 20100906 0951 CER01 20031007 597895 TUGT007 lajolla20030324 PUBLIC 002380530CER ARTICLE INTNOTEATLASPUBL ConferencePaper 002411916CER01 897207 SzGeCERN 20180529220450.0 oai:cds.cern.ch:897207 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 706435 ATL-DAQ-CONF-2007-001 eng ATL-COM-DAQ-2005-035 Ventura, A Muon Reconstruction and Identification for the Event Filter of the ATLAS experiment 2005 Geneva CERN 19 Oct 2005 5 p Contribution to the proceedings : 9th ICATAPP Conference on High Energy Physics The ATLAS Trigger requires high efficiency and selectivity in order to keep the full physics potential of the experiment and to reject uninteresting processes from the 40 MHz event production rate of the LHC. These goals are achieved with a trigger composed of three sequential levels of increasing accuracy that have to reduce the output event rate down to ~100 Hz. This work focuses on muon reconstruction and identification for the third level (Event Filter), for which specific algorithms from the off-line environment have been adapted to work in the trigger framework. Two different strategies for accessing data (wrapped and seeded modes) are described and their reconstruction potential is then shown in terms of efficiencies, resolutions and fake muon rejection power. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Trigger CERN Muon CERN DAQ CERN Event Filter CERN INTNOTE PUBLATLAS CERN LHC ATLAS Dos Anjos, A Armstrong, S Baines, J T M Bee, C P Bellomo, M Biglietti, M Bogaerts, J A C Bosman, M AUTHOR|(CDS)2050984 #BEARD# Carlino, G Caron, B Casado, M P Cataldi, G Cavalli, D Comune, G Conde, P Conventi, F Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Ellis, Nick Emeliyanov, D Epp, B Falciano, S Garitaonandia, H George, S Ghete, V Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Gorini, E Grancagnolo, S Haller, J Kabana, S Khomich, A Kilvington, G Kirk, N Konstantinidis, N P Kootz, A Lankford, A J Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Primavera, M Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sidoti, A Siragusa, G Sivoklokov, S Yu Sobreira, A Soluk, R A Spagnolo, S Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Usai, G AUTHOR|(CDS)2070593 #BEARD# Venda-Pinto, B Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 9th ICATPP Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2007-001 Access to fulltext http://cds.cern.ch/record/897207/files/TrigMooreICATPP05.ppt Access to fulltext http://cds.cern.ch/record/897207/files/daq-conf-2007-001.pdf Access to fulltext http://cds.cern.ch/record/897207/files/daq-conf-2007-001.ps.gz Access to fulltext andrea.ventura@le.infn.it n 200546 91 20080428 1751 CER01 20051019 794405 como20051017 PUBLIC 002567971CER INTNOTEATLASPUBL Preprint ConferencePaper 847213 SzGeCERN 20180924165950.0 oai:cds.cern.ch:847213 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1109/RTC.2005.1547532 DOI Inspire 1194590 ATL-DAQ-CONF-2005-032 eng ATL-COM-DAQ-2005-026 CERN-ATL-DAQ-CONF-2005-032 Santamarina-Rios, C Implementation and Performance of the Seeded Reconstruction for the ATLAS Event Filter Selection Software 2007 Geneva CERN 2005 5 p ATLAS is one of the four LHC experiments that will start data taking in 2007, designed to cover a wide range of physics topics. The ATLAS trigger system has to cope with a rate of 40 MHz and 23 interactions per bunch crossing. It is divided in three different levels. The first one (hardware based) provides a signature that is confirmed by the the following trigger levels (software based) by running a sequence of algorithms and validating the signal step by step, looking only to the region of the space indicated by the first trigger level (seeding). In this paper, the performance of one of these sequences that run at the Event Filter level (third level) and is composed of clustering at the calorimeter, track reconstruction and matching. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Atlas Event Filter CERN Algorithms ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Conde-Muíño, P Dos Anjos, A Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Comune, G Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Ellis, Nick Emeliyanov, D Epp, B Falciano, S Garitaonandia, H George, S Gesualdi-Mello, A Ghete, V Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Haller, J Kabana, S Khomich, A Kilvington, G Kirkc, J Konstantinidis, N P Kootz, A Lankford, AJ Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Pinfold, James L Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Sobreira, A Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Usai, G AUTHOR|(CDS)2070593 #BEARD# Venda-Pinto, B Ventura, A Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 14th IEEE-NPSS Real Time Conference 2005 864-869 IEEE Trans. Nucl. Sci. 53 2007 http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-032 Fulltext http://documents.cern.ch/cgi-bin/setlink?base=generic&categ=public&id=cer-002531126 IEEE Published version, local copy http://cds.cern.ch/record/847213/files/cer-002531126.pdf IEEE Published version, local copy http://cds.cern.ch/record/847213/files/daq-conf-2005-032.pdf Fulltext http://cds.cern.ch/record/847213/files/daq-conf-2005-032.ps.gz Fulltext http://cds.cern.ch/record/847213/files/poster.pdf Fulltext Cibran.Santamarina.Rios@cern.ch n 200529 13 20080717 2023 CER01 20050630 815623 stockholm20050604 PUBLIC 002531126CER INTNOTEATLASPUBL ARTICLE ConferencePaper 820783 SzGeCERN 20161219134555.0 DOI 10.5170/CERN-2005-002.334 oai:cds.cern.ch:820783 cerncds:FULLTEXT DOI cerncds:CERN:FULLTEXT INIS cerncds:CERN ATL-DAQ-CONF-2005-008 eng ATL-COM-DAQ-2005-005 Biglietti, M Muon Event Filter Software for the ATLAS Experiment at LHC 2005 CERN Geneva CERN 2004 At LHC the 40 MHz bunch crossing rate dictates a high selectivity of the ATLAS Trigger system, which has to keep the full physics potential of the experiment in spite of a limited storage capability. The level-1 trigger, implemented in a custom hardware, will reduce the initial rate to 75 kHz and is followed by the software based level-2 and Event Filter, usually referred as High Level Triggers (HLT), which further reduce the rate to about 100 Hz. In this paper an overview of the implementation of the offline muon recostruction algortihms MOORE (Muon Object Oriented REconstruction) and MuId (Muon Identification) as Event Filter in the ATLAS online framework is given. The MOORE algorithm performs the reconstruction inside the Muon Spectrometer providing a precise measurement of the muon track parameters outside the calorimeters; MuId combines the measurements of all ATLAS sub-detectors in order to identify muons and provides the best estimate of their momentum at the production vertex. In the HLT implementation the muon reconstruction can be executed in "full scan mode", performing pattern recognition in the whole muon spectrometer, or in the "seeded mode", taking advantage of the results of the earlier trigger levels.An estimate of the execution time will be presented along with the performances in terms of efficiency, momentum resolution and rejection power for muons coming from hadron decays and for fake muon tracks, due to accidental hit correlations in the high background environment of the experiment. CONF CERN EDS SIS CHEP04-2005 SIS:2005 PR/LKR added SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN DAQ, ATLAS, Muon, Reconstruction, Event Filter ARTICLE CERN INTNOTEATLASPRIV YELLOWREPCONTRIB CERN LHC ATLAS Armstrong, S Assamagan, Ketevi A Baines, J T M Bee, C P Bellomo, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde, P Conde-Muíño, P De Santo, A De Seixas, J M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dos Anjos, A Dosil, M Díaz-Gómez, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N V Nisati, A Padilla, C Panikashvili, N Parodi, F Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Primavera, M Pérez-Réale, V Univ Bern Qian, Z Resconi, S Rosati, S Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Sánchez, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Ventura, A Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP Computing In High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-008 Access to fulltext http://documents.cern.ch/cgi-bin/setlink?base=yellowarticle&categ=2005-002&id=p334 Published version from CERN http://cds.cern.ch/record/820783/files/daq-conf-2005-008.pdf Access to fulltext http://cds.cern.ch/record/820783/files/daq-conf-2005-008.ps.gz Access to fulltext http://cds.cern.ch/record/820783/files/p334.pdf Published version from CERN http://cds.cern.ch/record/820783/files/trigmoorechep04.ppt Access to fulltext michela.biglietti@cern.ch n 200509 a2005 13 20071117 0014 CER01 20050804 688747 334 interlaken20040927 PUBLIC 002508161CER ARTICLE ConferencePaper 820770 SzGeCERN 20180529220050.0 oai:cds.cern.ch:820770 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1196416 ATL-DAQ-CONF-2005-015 eng ATL-COM-DAQ-2005-002 Ventura, A Implementation and Performance of the Event Filter Muon Selection for the ATLAS experiment at LHC 2005 Geneva CERN 2005 5 p The ATLAS Trigger system is composed of three levels: an initial hardware trigger level (LVL1) followed by two software-based stages (LVL2 trigger and Event Filter) included in the High Level Trigger (HLT) and implemented on processor farms. The LVL2 trigger starts from LVL1 information concerning pointers to restricted so-called Regions of Interest (ROI) and performs event selection by means of optimized algorithms. If the LVL2 is passed, the full event is built and sent to the Event Filter (EF) algorithms for further selection and classification. After that, events are finally collected and put into mass storage for subsequent physics analysis. Even if many differences arise in the requirements and in the interfaces between the two HLT stages, they have a coherent approach to event selection. Therefore, the design of a common core software framework has been implemented in order to allow the HLT architecture to be flexible to changes (background conditions, luminosity, description of the detector, etc.). Algorithms working in the Event Filter are designed to work not only in a general purpose or exclusive mode, but they have been implemented in such a way to process given trigger hypotheses produced at a previous stage in the HLT dataflow. This is done by acting in separate steps, so that decisions to go further in the process are taken at every new step. An overview of the HLT processing steps is given and the working principles of the EF offline algorithms for muon reconstruction and identification (MOORE and MuId) are discussed in deeper detail. The reconstruction performances of these algorithms in terms of efficiency, momentum resolution, rejection power and execution times on several samples of simulated single muon events are presented, also taking into account the high background environment that is expected for ATLAS. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS CERN HLT CERN Muons CERN Event Filter CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Assamagan, Ketevi A Baines, J T M Bee, C P Bellomo, M Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Carlino, G Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde-Muíño, P Conventi, F De Santo, A De Seixas, J M Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dos Anjos, A Dosil, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootzw, A Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N V Nisati, A Padilla, C Panikashvili, N Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Primavera, M Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Vercesi, V Werner, P PH-EP 2004 IEEE Nuclear Science Symposium And Medical Imaging Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-015 Access to fulltext http://cds.cern.ch/record/820770/files/TrigMooreIEEE2004.ppt Access to fulltext http://cds.cern.ch/record/820770/files/daq-conf-2005-015.pdf Access to fulltext http://cds.cern.ch/record/820770/files/daq-conf-2005-015.ps.gz Access to fulltext ventura@le.infn.it n 200511 91 20070927 1623 CER01 20050207 684958 rome20041016 PUBLIC 002508135CER INTNOTEATLASPUBL Preprint ConferencePaper 847041 SzGeCERN 20180529221023.0 oai:cds.cern.ch:847041 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1196454 ATL-DAQ-CONF-2005-027 eng ATL-COM-DAQ-2005-025 CERN-ATL-DAQ-CONF-2005-027 Bosman, M AUTHOR|(CDS)2050984 #BEARD# Development and Tests of the Event Filter for the ATLAS Experiment 2005 Geneva CERN 2005 6 p The Trigger and Data Acquisition (TDAQ) System of the ATLAS Experiment comprises three stages of event selection. The Event Filter (EF) is the third level trigger and is software implemented. Its primary goal is the final selection of interesting events with reduction of the event rate down to ~200 Hz acceptable by the mass storage. The EF System will be implemented as a set of independent commodity components Sub-Farms, each connected to the Event Builder subsystem to receive full events and on the other side to the Sub-Farm Output nodes, where the selected events are forwarded to mass storage. A distinctive feature of the Event Filter is its ability to use the full event data for selection directly based on the offline reconstruction and analysis algorithms. Besides the main duties on event triggering and data transportation, the EF is also able to provide additional functionalities, like monitoring of the selected events and online calibration of the ATLAS detectors. Significant design improvements are currently under development to provide these additional functionalities to the EF System. The Event Filter was deployed and tested in data triggering at the ATLAS Combined Test Beam at CERN in 2004. The EF is also subject to various tests on dedicated test-bed computer clusters, where both the EF functionalities and performance are studied. Special tests are being done when running the EF software components on the large-scale EF Farms, with hundreds of computers. This paper describes the current activities and plans on development and testing of the ATLAS Event Filter System. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS, Trigger, Data Acquisition, TDAQ, Event Filter, Test CERN Internal Note INTNOTEATLASPUBL CERN INTNOTE PUBLATLAS CERN LHC ATLAS Meessen, C Negri, A Segura, E Sushkov, S Touchard, F Wheeler, S J PH-EP 14th IEEE - NPSS Real Time Conference 2005 Nuclear Plasma Sciences Society http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-027 Access to fulltext http://cds.cern.ch/record/847041/files/Sushkov-RT05-Stokholm-v101w-print.pdf Access to fulltext http://cds.cern.ch/record/847041/files/daq-conf-2005-027.pdf Access to fulltext http://cds.cern.ch/record/847041/files/daq-conf-2005-027.ps.gz Access to fulltext sushkov@ifae.es n 200529 91 20060110 1126 CER01 20050629 815623 stockholm20050604 PUBLIC 002530542CER INTNOTEATLASPUBL Preprint ConferencePaper 820771 SzGeCERN 20180529220050.0 DOI 10.5170/CERN-2005-002.67 oai:cds.cern.ch:820771 cerncds:FULLTEXT DOI cerncds:CERN:FULLTEXT INIS cerncds:CERN ATL-DAQ-CONF-2005-005 eng ATL-COM-DAQ-2005-003 CERN-ATL-DAQ-CONF-2005-005 Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# A Level-2 trigger algorithm for the identification of muons in the ATLAS Muon Spectrometer 2005 CERN Geneva CERN 2005 4 p The ATLAS Level-2 trigger provides a software-based event selection after the initial Level-1 hardware trigger. For the muon events, the selection is decomposed in a number of broad steps: first, the Muon Spectrometer data are processed to give physics quantities associated to the muon track (standalone feature extraction) then, other detector data are used to refine the extracted features. The “µFast” algorithm performs the standalone feature extraction, providing a first reduction of the muon event rate from Level-1. It confirms muon track candidates with a precise measurement of the muon momentum. The algorithm is designed to be both conceptually simple and fast so as to be readily implemented in the demanding online environment in which the Level-2 selection code will run. Never-the-less its physics performance approaches, in some cases, that of the offline reconstruction algorithms. This paper describes the implemented algorithm together with the software techniques employed to increase its timing performances. CC-BY-4.0 Preprint CONF CERN EDS SIS CHEP04-2005 SIS:2005 PR/LKR added SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Level-2 CERN muon ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS YELLOWREPCONTRIB CERN LHC ATLAS Armstrong, S Dos Anjos, A Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde-Muíño, P De Santo, A Díaz-Gómez, M Dosil, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N V Nisati, A Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S S Sutton, M Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP Computing In High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-005 Access to fulltext http://documents.cern.ch/cgi-bin/setlink?base=yellowarticle&categ=2005-002&id=p67 Published version from CERN http://cds.cern.ch/record/820771/files/daq-conf-2005-005.doc Access to fulltext http://cds.cern.ch/record/820771/files/muon_reconstruction.ppt Access to fulltext http://cds.cern.ch/record/820771/files/p67.pdf Published version from CERN alessandro.dimattia@roma1.infn.it n 200511 a2005 13 20071117 0014 CER01 20050207 688747 67 interlaken20040927 PUBLIC 002508137CER INTNOTEATLASPUBL ARTICLE ConferencePaper Inspire 707238 846438 SzGeCERN 20180529221011.0 ATL-DAQ-CONF-2006-011 eng ATL-COM-DAQ-2005-024 CERN-ATL-COM-DAQ-2005-024 Gesualdi-Mello, A Overview of the High-Level Trigger Electron and Photon Selection for the ATLAS Experiment at the LHC 2006 Geneva CERN 28 Jun 2005 5 p The ATLAS experiment at the Large Hadron Collider (LHC) will face the challenge of efficiently selecting interesting candidate events in pp collisions at 14 TeV center-of-mass energy, whilst rejecting the enormous number of background events. The High-Level Trigger (HLT = second level trigger and Event Filter), which is a software based trigger will need to reduce the level-1 output rate of ~75 kHz to ~200 Hz written out to mass storage. In this talk an overview of the current physics and system performance of the HLT selection for electrons and photons is given. The performance has been evaluated using Monte Carlo simulations and has been partly demonstrated in the ATLAS testbeam in 2004. The efficiency for the signal channels, the rate expected for the selection, the global data preparation and execution times will be highlighted. Furthermore, some physics examples will be discussed to demonstrate that the triggers are well adapted for the physics programme envisaged at the LHC. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS experiment, online selection of electrons and photons, combined test beam results ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Anjos, A Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Comune, G Conde-Muíño, P Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Ellis, Nick Emeliyanov, D Epp, B Falciano, S Garitaonandia, H George, S Ghete, V Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Haller, J Kabana, S Khomich, A Kilvington, G Kirkc, J Konstantinidis, N P Kootz, A Lankford, A J Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E Seixas, J M Sivoklokov, S Yu Sobreira, A Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Usaib, G Venda-Pinto, B Ventura, A Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 14th IEEE - NPSS Real Time Conference 2005 Nuclear Plasma Sciences Society 2839-2843 IEEE Trans. Nucl. Sci. 53 2006 http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2006-011 Fulltext http://documents.cern.ch/cgi-bin/setlink?base=generic&categ=public&id=cer-002529945 IEEE Published version, local copy http://cds.cern.ch/record/846438/files/cer-002529945.pdf IEEE Published version, local copy http://cds.cern.ch/record/846438/files/daq-conf-2006-011.pdf Fulltext http://cds.cern.ch/record/846438/files/daq-conf-2006-011.ps.gz Fulltext http://cds.cern.ch/record/846438/files/posterP8-6_vImpresso.pdf Fulltext Aline.Gesualdi.Mello@cern.ch n 200529 a2006 13 20080417 2042 CER01 20050628 815623 2839-2843 stockholm20050604 PUBLIC 002529945CER INTNOTEATLASPUBL ARTICLE ConferencePaper DOI 10.1109/TNS.2006.882049 oai:cds.cern.ch:846438 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1197235 845661 SzGeCERN 20180529220941.0 oai:cds.cern.ch:845661 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 734194 ATL-DAQ-CONF-2005-033 eng ATL-COM-DAQ-2005-023 CERN-ATL-DAQ-CONF-2005-033 Anjos, A CERN Deployment of the ATLAS High-Level Triggers 2005 Geneva CERN 2005 5 p The ATLAS combined test beam in the second half of 2004 saw the first deployment of the ATLAS High-Level Triggers (HLT). The next steps are deployment on the pre-series farms in the experimental area during 2005, commissioning and cosmics tests 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, selection algorithms, testing, software distribution, installation and improvements. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS CERN High-Level Triggers CERN Deployment CERN Testbeam CERN Combined Testbeam 2004 INTNOTE CERN Internal Note PUBLATLAS CERN CERN LHC ATLAS Armstrong, S Baines, J T M Beck, H P Bee, C P Biglietti, M Bogaerts, J A C CERN Bosman, M AUTHOR|(CDS)2050984 #BEARD# Burckhart, Doris Caprini, M Caron, B Casado, M P Cataldi, G Cavalli, D Ciobotaru, M Comune, G Conde, P Corso-Radu, A Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dobson, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Ferrari, R Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S Garitaonandia, H George, S Ghete, V Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Gorini, B Gruwé, M Haeberli, C Haller, J Joos, M Kabana, S Kazarov, A Khomich, A Kilvington, G Kirk, J Kolos, S Konstantinidis, N P Kootz, A Lankford, A Lehmann, G Lowe, A Luminari, L Maeno, T Masik, J Meirosu, C Meessen, C Mello, A G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Petersen, J Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E Seixas, J M Sivoklokov, S Yu Sloper, J Sobreira, A Soloviev, I Soluk, R A Stancu, S Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Tremblet, L Ünel, G Usai, G AUTHOR|(CDS)2070593 #BEARD# Vandelli, Wainer R Venda-Pinto, B Ventura, A Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Wiesmann, M Yasu, Y Zobernig, G PH-EP 14th IEEE - NPSS Real Time Conference 2005 Nuclear Plasma Sciences Society http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-033 Access to fulltext http://cds.cern.ch/record/845661/files/daq-conf-2005-033.pdf Access to fulltext http://cds.cern.ch/record/845661/files/daq-conf-2005-033.ps.gz Access to fulltext http://cds.cern.ch/record/845661/files/main.pdf Access to fulltext Andre.dos.Anjos@cern.ch n 200529 91 20080822 0957 CER01 20050624 815623 stockholm20050604 PUBLIC 002529188CER INTNOTEATLASPUBL Preprint ConferencePaper 840838 SzGeCERN 20180924165956.0 oai:cds.cern.ch:840838 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1109/RTC.2005.1547456 DOI SPIRES 7009747 Inspire 734196 ATL-DAQ-CONF-2005-019 eng ATL-COM-DAQ-2005-014 Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Deployment and use of the ATLAS DAQ in the Combined Test Beam 2006 Geneva CERN 2005 5 p The ATLAS collaboration at CERN operated a Combined Test Beam (CTB) from May until November 2004. The prototype of ATLAS Data Acquisition system (DAQ) was used to integrate other subsystems into a common CTB setup. Data were collected synchronously from all the ATLAS detectors, which represented nine different detector technologies. Electronics and software of the First Level Trigger were used to trigger the setup. Event selection algorithms of the High Level Trigger were integrated with the system and were tested with real detector data. A possibility to operate a remote Event Filter farm synchronized with ATLAS TDAQ was also tested. Event data, as well as detectors conditions data were made available for offline analysis. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS ARTICLE CERN LHC ATLAS Abolins, M Alexandrov, I Amorim, A Padilla-Aranda, A Badescu, E Barros, N Beck, H P Blair, R Burckhart-Chromek, Doris Caprini, M Ciobotaru, M Conde-Muíño, P Corso-Radu, A Di Girolamo, B Díaz-Gómez, M Dobinson, Robert W Dobson, M Ferrari, R Ferrer, M L Francis, D Gameiro, S Gorini, B Gruwé, M Haas, S Haeberli, C Hauser, R Hughes-Jones, R E Joos, M Kazarov, A Klose, D Kolos, S Kotov, V Lehmann, G Mapelli, L Martin, B McLaren, R Meirosu, C Mineev, M Negri, A Pasqualucci, E Pérez-Réale, V Petersen, J Prigent, D Ryabov, Yu Sánchez, C Santamarina-Rios, C Schlereth, J L Sloper, J E Soloviev, I Stancu, S Tremblet, L Ünel, G Vandelli, Wainer R Werner, P CERN Wheeler, S Wiesmann, M Yasu, Y PH-EP 2156-2161 IEEE Trans. Nucl. Sci. 53 2006 http://documents.cern.ch/cgi-bin/setlink?base=generic&categ=public&id=cer-002526539 IEEE Published version, local copy http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-019 Access to fulltext http://cds.cern.ch/record/840838/files/cer-002526539.pdf IEEE Published version, local copy http://cds.cern.ch/record/840838/files/daq-conf-2005-019.pdf Access to fulltext szymon.gadomski@cern.ch n 200524 a2006 13 20100901 1606 CER01 20050613 815623 2156-2161 stockholm20050604 PUBLIC 002526539CER INTNOTEATLASPUBL ARTICLE ConferencePaper 837654 SzGeCERN 20180529220658.0 oai:cds.cern.ch:837654 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN Inspire 1196460 ATL-DAQ-CONF-2005-018 eng ATL-COM-DAQ-2005-013 Dos Anjos, A Muon Identification with the Event Filter of the ATLAS Experiment at CERN LHC's 2005 Geneva CERN 2005 5 p The Large Hadron Collider at CERN offers unprecedented challenges to the design and construction of detectors and trigger/data acquisition systems. For ATLAS, a three level trigger system has been developed to extract interesting physics signatures with a 10^6 rate reduction. To accomplish this, components of physics analysis traditionally deferred to offline physics analysis must be embedded within the online trigger system. For the Muon trigger, the specific off-line algorithms MOORE (Muon Object Oriented REconstruction) and MuId (Muon Identification) have been adopted so far for the on-line use, imposing an operation in a Bayesian-like environment where only specific hypotheses must be validated. After a short review of the ATLAS trigger, the paper shows the general strategy of the Muon Identification and Selection accessing the full event data, or being seeded from results derived at a previous stage of the trigger chain. CC-BY-4.0 Preprint CONF CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Muon CERN Event Filter CERN Reconstruction CERN MOORE CERN MuID CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Bosman, M AUTHOR|(CDS)2050984 #BEARD# Carlino, G Caron, B Casado, M P Cataldi, G Cavalli, D Comune, G Conde, P Conventi, F Crone, G Damazio, D De Santo, A Díaz-Gómez, M Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Ellis, Nick Emeliyanov, D Epp, B Falciano, S Garitaonandia, H George, S Ghete, V Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Gorini, E Haller, J Kabana, S Khomich, A Kilvington, G Kirk, J Konstantinidis, N P Kootz, A Lankford, A J Lowe, A Luminari, L Maeno, T Masik, J Meessen, C Mello, A G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Osuna, C Padilla, C Panikashvili, N Parodi, F Pasqualucci, E Pérez-Réale, V Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Primavera, M Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Sobreira, A Soluk, R A Spagnolo, S Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Tarem, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Usai, G AUTHOR|(CDS)2070593 #BEARD# Venda-Pinto, B Ventura, A Vercesi, V Wengler, T Werner, P Wheeler, S J Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 14th IEEE - NPSS Real Time Conference 2005 Nuclear Plasma Sciences Society http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-018 Access to fulltext http://cds.cern.ch/record/837654/files/daq-conf-2005-018.pdf Access to fulltext http://cds.cern.ch/record/837654/files/daq-conf-2005-018.ps.gz Access to fulltext http://cds.cern.ch/record/837654/files/trigmooreRT2005.ppt Access to fulltext Gabriella.Cataldi@le.infn.it n 200524 91 20070815 1151 CER01 20050530 815623 stockholm20050604 PUBLIC 002524050CER INTNOTEATLASPUBL Preprint ConferencePaper 830398 SzGeCERN 20190514173152.0 DOI 10.5170/CERN-2005-002.250 oai:cds.cern.ch:830398 cerncds:FULLTEXT DOI cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 1194757 ATL-DAQ-CONF-2005-014 eng ATL-COM-DAQ-2005-012 CERN-ATL-DAQ-CONF-2005-014 Schiavi, C Implementation and Performance of the High Level Trigger Electron and Photon Selection for the ATLAS Experiment at the LHC 2005 CERN Geneva CERN 2004 The ATLAS experiment at the Large Hadron Collider (LHC) will face the challenge of efficiently selecting interesting candidate events in pp collisions at 14 TeV center of mass energy, while rejecting the enormous number of background events, stemming from an interaction rate of up to 10^9 Hz. The First Level trigger will reduce this rate to around O(100 kHz). Subsequently, the High Level Trigger (HLT), which is comprised of the Second Level trigger and the Event Filter, will need to further reduce this rate by a factor of O(10^3). The HLT selection is software based and will be implemented on commercial CPUs, using a common framework built on the standard ATLAS object oriented software architecture. In this paper an overview of the current implementation of the selection for electrons and photons in the HLT is given. The performance of this implementation has been evaluated using Monte Carlo simulations in terms of the efficiency for the signal channels, rate expected for the selection, data preparation times, and algorithm execution times. Besides the efficiency and rate estimates, some physics examples will be discussed, showing that the triggers are well adapted for the physics programme envisaged at LHC. The electron and photon trigger software is also being exercised at the ATLAS 2004 Combined Test Beam, where components from all ATLAS subdetectors are taking data together along the H8 SPS extraction line; from these tests a validation of the selection architecture chosen in a real on-line environment is expected. CC-BY-4.0 Preprint CONF CERN EDS SIS CHEP04-2005 SIS:2005 PR/LKR added SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Trigger CERN HLT CERN E/Gamma ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS YELLOWREPCONTRIB CERN LHC ATLAS CERN SPS H8 Armstrong, S Dos Anjos, A Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Conde-Muíño, P De Santo, A Díaz-Gómez, M Dosil, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luminari, L Maeno, T Masik, J Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N Nisati, A Padilla, C Panikashvili, N Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qiand, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Segura, E De Seixas, J M Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, S Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Ventura, A Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP 2004 IEEE Nuclear Science Symposium And Medical Imaging Conference http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=CONF&id=daq-conf-2005-014 Access to fulltext http://documents.cern.ch/cgi-bin/setlink?base=yellowarticle&categ=2005-002&id=p250 Published version from CERN http://cds.cern.ch/record/830398/files/NSS04.pdf Access to fulltext http://cds.cern.ch/record/830398/files/daq-conf-2005-014.pdf Access to fulltext http://cds.cern.ch/record/830398/files/daq-conf-2005-014.ps.gz Access to fulltext http://cds.cern.ch/record/830398/files/p250.pdf Published version from CERN Carlo.Schiavi@ge.infn.it n 200514 a2005 13 20081003 1352 CER01 20050401 688747 250 interlaken20040927 684958 2038-42 (vol. 4) rome20041016 PUBLIC 002517152CER INTNOTEATLASPUBL ARTICLE ConferencePaper 681378 SzGeCERN 20190514173154.0 oai:cds.cern.ch:681378 cerncds:FULLTEXT 0002007ATLATL 000003070WAI01 Inspire 1194820 ATL-MUON-2005-010 eng ATL-COM-MUON-2002-007 CERN-ATL-COM-MUON-2002-007 Alexopoulos, T System test of the ATLAS muon spectrometer in the H8 test area: program for year 2002 2002 Geneva CERN 2002 mult. p revised version number 1 submitted on 2002-04-26 19:00:11 The plans for the extension of the system test of the ATLAS muon spectrometer in year 2002 are outlined. A description of the year 2002 scientific program is given. The new components that must be added to the current set-up to accomplish this program and the sharing of responsibility are discussed. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN MUON CERN test beam CERN muon CERN MDT CERN alignment CERN DCS CERN DAQ CERN Internal Note INTNOTEATLASPUBL CERN INTNOTE PUBLATLAS CERN LHC ATLAS CERN SPS H8 Gazis, E N Tsipolitis, Y Ahlen, S P Bensinger, J Hashemi, K S Amelung, C Andreazza, W Cerutti, F Palestini, S Trigger, I Avolio, G Antonelli, M Esposito, B Handrich, K Brandenburg, G Chapman, J Goldfarb, S Levin, D Thun, R Zhou, B Kortner, O Rauscher, F Staude, A Kroha, H Dietl, H Horvat, S Manz, M Richter, R Della Volpe, D Linde, Frank L Ferrari, R Gaudio, G Lanza, A Livan, M Negri, A Polesello, G Prata, M J Rimoldi, A Scannicchio, D A Vercesi, V Fakhroutdinov, R Bini, C Ciapetti, G Cirilli, M Falciano, S Pasqualucci, E Pomarède, D Pontecorvo, L Baroncelli, T Branchini, P Iodice, M AUTHOR|(CDS)2071381 #BEARD# Petrucci, F Spiriti, E Bauer, F Guyot, C AUTHOR|(CDS)2071411 #BEARD# Laporte, J F Mockett, P M Rothberg, J E EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=muon-2005-010 Access to fulltext http://cds.cern.ch/record/681378/files/muon-2005-010.pdf Access to fulltext http://cds.cern.ch/record/681378/files/muon-2005-010.ps.gz Access to fulltext sandro.palestini@cern.ch n 200345 91 20081029 1429 CER01 20031107 PUBLIC 002407869CER INTNOTEATLASPUBL NOTE 797460 SzGeCERN 20180529220421.0 DOI 10.5170/CERN-2005-002.111 oai:cds.cern.ch:797460 cerncds:FULLTEXT DOI cerncds:CERN:FULLTEXT INIS cerncds:CERN Inspire 1197233 ATL-DAQ-2004-014 eng CERN-ATL-DAQ-2004-014 ATL-COM-DAQ-2004-020 CERN-ATL-COM-DAQ-2004-020 Conde-Muíño, P Portable Gathering System for Monitoring and Online Calibration at ATLAS 2005 CERN Geneva CERN 2004 4 p During the runtime of any experiment, a central monitoring system that detects problems as soon as they appear has an essential role. In a large experiment, like ATLAS, the online data acquisition system is distributed across the nodes of large farms, each of them running several processes that analyse a fraction of the events. In this architecture, it is necessary to have a central process that collects all the monitoring data from the different nodes, produces full statistics histograms and analyses them. In this paper we present the design of such a system, called the gatherer. It allows to collect any monitoring object, such as histograms, from the farm nodes, from any process in the DAQ, trigger and reconstruction chain. It also adds up the statistics, if required, and processes user defined algorithms in order to analyse the monitoring data. The results are sent to a centralized display, that shows the information online, and to the archiving system, triggering alarms in case of problems. The innovation of this system is that conceptually it abstracts several underlying communication protocols, being able to talk with different processes using different protocols at the same time and, therefore, providing maximum flexibility. The software is easily adaptable to any trigger-DAQ system. The first prototype of the gathering system has been implemented for ATLAS and has been running during this year's combined test beam. An evaluation of this first prototype will also be presented. CC-BY-4.0 Preprint PUB CERN EDS SIS CHEP04-2005 SIS:2005 PR/LKR added SzGeCERN Detectors and Experimental Techniques CERN ATLAS CERN DAQ CERN Monitoring ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS YELLOWREPCONTRIB CERN LHC ATLAS Armstrong, S Dos Anjos, A Baines, J T M Bee, C P Biglietti, M Bogaerts, J A C CERN Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G De Santo, A Díaz-Gómez, M Dosil, M Ellis, Nick Emeliyanov, D Epp, B Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kabana, S Khomich, A Kilvington, G Konstantinidis, N P Kootz, A Lowe, A Luminari, L Maeno, T Masik, J Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Meessen, C Mello, A G Merino, G Moore, R AUTHOR|(CDS)2073141 #BEARD# Morettini, P Negri, A Nikitin, N V Nisati, A Padilla, C Panikashvili, N Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Qian, Z Resconi, S Rosati, S Sánchez, C Santamarina-Rios, C Scannicchio, D A Schiavi, C Segura, E De Seixas, J M Sivoklokov, S Yu Soluk, R A Stefanidis, E Sushkov, S Sutton, M Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Thomas, E AUTHOR|(CDS)2067070 #BEARD# Touchard, F Venda-Pinto, B Vercesi, V Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G PH-EP Computing In High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2004-014 Access to fulltext http://documents.cern.ch/cgi-bin/setlink?base=yellowarticle&categ=2005-002&id=p111 Published version from CERN http://cds.cern.ch/record/797460/files/conde_chep04_poster.pdf Access to fulltext http://cds.cern.ch/record/797460/files/daq-2004-014.pdf Access to fulltext http://cds.cern.ch/record/797460/files/daq-2004-014.ps.gz Access to fulltext http://cds.cern.ch/record/797460/files/p111.pdf Published version from CERN Patricia.Conde.Muino@cern.ch n 200445 a2005 13 20071117 0014 CER01 20041011 688747 111 interlaken20040927 PUBLIC 002487156CER INTNOTEATLASPUBL ARTICLE ConferencePaper 683429 SzGeCERN 20180529221032.0 oai:cds.cern.ch:683429 cerncds:FULLTEXT SPIRES 5910889 Inspire 638486 ATL-DAQ-2003-052 eng CERN-ATL-DAQ-2003-052 ATL-COM-DAQ-2003-065 Dos Anjos, A The Second Level Trigger of the ATLAS Experiment at CERN's LHC 2003 Geneva CERN 13 Nov 2003 5 p The Trigger System of the ATLAS experiment reduces the rate of events produced by proton-proton collisions at CERN's Large Hadron Collider (LHC) in three successive steps from 40 MHz to ~ 100, 1 and 0.2 kHz respectively. The ATLAS Second Level Trigger is original in several ways. It makes use of information provided by the First Level Trigger which identifies Regions of Interest (RoI) indicating where the most significant activity has occurred within the detector. Accessing detector data in RoIs only reduces the estimated 100 Gbytes/s data rate by a factor 100. Appart from a custom interface to acquire the RoI information, the Second Level Trigger is implemented in software. Another cost saving approach is the development of Trigger Selection software in an offline environment using a common framework for the High Level Trigger and Reconstruction Software. Consequently, the Second Level Trigger draws on software developed in two largely independant domains: real time oriented dataflow software combined with offline selection software. In this paper we report on experience gained and results obtained with second generation prototype software of both domains. Test of the performance of the data collection have been carried out on testbeds consisting of PCs running Linux and interconnected by Gbit Ethernet switches. The selection software has been tested using simulated detector data preloaded in detector readout buffers. CC-BY-4.0 Preprint PUB CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Dataflow CERN Multi-threaded CERN Object-Oriented CERN Second Level Trigger CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Abolins, M Armstrong, S Baines, J T M Barisonzi, M Beck, H P Bee, C P Beretta, M Biglietti, M Blair, R Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Boterenbrood, H Botterill, David R Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Ciobotaru, M Comune, G Corso-Radu, A Palencia-Cortezon, E Cranfield, R Crone, G J Univ Coll London Dawson, J Di Girolamo, B Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dobinson, Robert W Drohan, J Ellis, Nick Elsing, M Epp, B Ermoline, Y Etienne, F Falciano, S Farilla, A Ferrer, M L Francis, D Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Gameiro, S George, S Ghete, V M Golonka, P González, S Gorini, B Green, B Grothe, M Gruwé, M Haas, S Haeberli, C Hasegawa, Y Hauser, R Hinkelbein, C Hughes-Jones, R E Jansweijer, P Joos, M Kaczmarska, A Karr, K M Khomich, A Kieft, G Knezo, E Konstantinidis, N P Korcyl, K Krasny, W Kugel, A Lankford, A Lehmann, G Le Vine, M J Li, W Liu, W Lowe, A Luminari, L Maeno, T Losada, M Mapelli, L Martin, B McLaren, R Meessen, C Meirosu, C Mello, A G Merino, G Misiejuk, A Mommsen, R K Morettini, P Mornacchi, Giuseppe CERN AUTHOR|(CDS)2067960 #BEARD# Moyse, E Müller, M Nagasaka, Y Nairz, A Nakayoshi, K Negri, A Nikitin, N V Nisati, A Padilla, C Papadopoulos, I M Parodi, F Pérez-Réale, V Univ Bern Petersen, J Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Pope, B Prigent, D Qian, Z Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schlereth, J L Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Shimojima, M AUTHOR|(CDS)2073916 #BEARD# Sivoklokov, S Yu Smizanska, M Soluk, R A Spiwoks, R Stancu, S Stanescu, C Strong, J Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Tremblet, L Touchard, F Vercesi, V Vermeulen, J C Watson, A Wengler, T Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Yasu, Y Yu, M Zobernig, G Zurek, M EP IEEE Nuclear Science Symposium and Medical Imaging Conference, Part 1 http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-052 Access to fulltext http://cds.cern.ch/record/683429/files/daq-2003-052.doc Access to fulltext http://cds.cern.ch/record/683429/files/daq-2003-052.pdf Access to fulltext http://cds.cern.ch/record/683429/files/daq-2003-052.ps.gz Access to fulltext n 200345 91 20100906 0951 CER01 20031114 559244 portland20031019 PUBLIC 0001 002409846CER INTNOTEATLASPUBL NOTE ConferencePaper 682055 SzGeCERN 20180924170409.0 oai:cds.cern.ch:682055 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1142/9789812702708_0040 DOI SPIRES 5910897 Inspire 638487 ATL-DAQ-2003-050 eng ATL-COM-DAQ-2003-060 Casado, M P Architecture of the ATLAS online physics-selection software at the LHC 2003 Geneva CERN 03 Nov 2003 5 p revised version number 1 submitted on 2003-12-12 15:02:23 Given the extremely high bunch crossing rate foreseen at the Large Hadron Collider (LHC) and the general-purpose nature of the ATLAS particle physics experiment, after the hardware-based first level trigger, an efficient and flexible trigger software is needed for the online selection of events. This filtering of events is organized in two levels: the second level trigger and the event filter. Both levels are referred together as High Level Trigger (HLT). A coherent approach to event selection across the HLT has been taken. Thus a common core software framework has been designed to maximise the usage of offline interfaces and software components, whilst allowing sufficient flexibility to meet the different interfaces and requirements of the two different levels, notably those of performance and robustness. This paper describes the architecture and high level design of the selection software and shows how the implementation meets the challenges of the ATLAS environment. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Architecture CERN ATLAS CERN Trigger CERN Selection CERN Software ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Ma, H Meessen, C Mello, AG Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Rajagopalan, S Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A Wengler, T Werner, P Wheeler, S Wickens, F J RAL Chilton Wiedenmann, W Wielers, M Zobernig, G EP ATLAS High-Level Trigger Group 8th International Conference on Advanced Technology and Particle Physics : Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-050 Access to fulltext http://cds.cern.ch/record/682055/files/PresComo.ppt Access to fulltext http://cds.cern.ch/record/682055/files/daq-2003-050.pdf Access to fulltext http://cds.cern.ch/record/682055/files/daq-2003-050.ps.gz Access to fulltext n 200345 a2005 13 20100906 0951 CER01 20031111 612489 e-proceedings como20031006 PUBLIC 002408519CER INTNOTEATLASPUBL ARTICLE ConferencePaper 681556 SzGeCERN 20180529220935.0 oai:cds.cern.ch:681556 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN CERN annual report 2004-3.0071 SPIRES 5910714 Inspire 638471 ATL-DAQ-2003-046 eng ATL-COM-DAQ-2003-039 Konstantinidis, N P Architecture of the ATLAS High Level Triggers Event Selection Software 2004 Geneva CERN 28 Jul 2003 revised version number 1 submitted on 2003-11-20 17:19:18 CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SIS INSP2004 E200407-8017287 (Compendex) SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN trigger CERN software ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS INSPEC Particle-detectors INSPEC Trigger-detectors INSPEC Front-end-electronics INSPEC Trigger-circuits INSPEC Computer-hardware INSPEC Calorimeters INSPEC Personal- computers INSPEC online-systems INSPEC Electromagnetism INSPEC Computer-software INSPEC Data- processing INSPEC algorithms INSPEC 944-7, 713-5, 722, 944-5, 722-4, 701 Armstrong, S Assamagan, Ketevi A Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Krasny, W Li, W Lowe, A Luminari, L Ma, H Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Rajagopalan, S Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A Wengler, T Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G EP Frontiers Detectors for Frontiers Physics 9th Pisa Meeting on Advanced Detectors http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-046 Access to fulltext http://cds.cern.ch/record/681556/files/daq-2003-046.pdf Access to fulltext http://cds.cern.ch/record/681556/files/daq-2003-046.ps.gz Access to fulltext http://cds.cern.ch/record/681556/files/daq-2003-046_slides.ppt Access to fulltext n 200345 a2004 13 20100906 0951 CER01 20031107 595224 537-541 labiodola20030525 PUBLIC 002408047CER INTNOTEATLASPUBL ARTICLE ConferencePaper 618521 20230312065836.0 oai:cds.cern.ch:618521 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN cerncds:hep-ex WAI01 000011923 SPIRES 5563666 arXiv oai:arXiv.org:hep-ex/0305093 Inspire 619726 arXiv hep-ex/0305093 hep-ex CHEP-2003-TUGT009 ATL-DAQ-2003-010 eng ATL-COM-DAQ-2003-027 CERN-ATL-DAQ-2003-010 ATL-DAQ-2003-010 Wheeler, S. INSPIRE-00233120 Alberta U. Supervision of the ATLAS High Level Trigger System A TOROIDAL LHC APPARATUS LARGE HADRON COLLIDER 2003 Geneva CERN 28 May 2003 6 p Comments: Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 6 pages, PDF (from MS Word). PSN TUGT009 arXiv Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 6 pages, PDF (from MS Word). PSN TUGT009 The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter. The HLT is implemented as software tasks running on large processor farms. An essential part of the HLT is the supervision system, which is responsible for configuring, coordinating, controlling and monitoring the many hundreds of processes running in the HLT. A prototype implementation of the supervision system, using tools from the ATLAS Online Software system is presented. Results from scalability tests are also presented where the supervision system was shown to be capable of controlling over 1000 HLT processes running on 230 nodes. arXiv The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter. The HLT is implemented as software tasks running on large processor farms. An essential part of the HLT is the supervision system, which is responsible for configuring, coordinating, controlling and monitoring the many hundreds of processes running in the HLT. A prototype implementation of the supervision system, using tools from the ATLAS Online Software system is presented. Results from scalability tests are also presented where the supervision system was shown to be capable of controlling over 1000 HLT processes running on 230 nodes. CC-BY-4.0 Preprint PUB LANL EDS SIS ATLAS2003 SIS CERN EDS SzGeCERN Particle Physics - Experiment CERN ATLAS CERN Supervision CERN Trigger CERN CERN Internal Note INTNOTE INTNOTEATLASPUBL PUBLATLAS ARTICLE CERN LHC ATLAS LANL EDS High Energy Physics - Experiment Flammer, J. INSPIRE-00230122 CERN Meessen, C. Marseille, CPPM Qian, Z. INSPIRE-00232210 Marseille, CPPM Touchard, F. INSPIRE-00224579 Marseille, CPPM Negri, France A. Pavia U. INFN, Pavia Zobernig, H. INSPIRE-00226497 Wisconsin U., Madison EP CHEP 2003 Computing in High Energy Physics Negri, France A. TUGT009 eConf C0303241 2003 http://weblib.cern.ch/abstract?ATL-DAQ-2003-010 http://www.slac.stanford.edu/econf/C0303241/proc/papers/_vti_cnf/TUGT009.PDF Proceedings write-up on eConf 2432785 494607 http://cds.cern.ch/record/618521/files/arXiv:hep-ex_0305093.pdf 14531 584394 http://cds.cern.ch/record/618521/files/daq-2003-010_chep_talk.pdf Access to fulltext 14532 221621 http://cds.cern.ch/record/618521/files/daq-2003-010.pdf Access to fulltext 14532 253775 http://cds.cern.ch/record/618521/files/daq-2003-010.ps.gz Access to fulltext serguei.kolos@cern.ch n 200322 13 20100906 0951 CER01 20060315 597895 TUGT009 lajolla20030324 PUBLIC 002379465CER ARTICLE INTNOTEATLASPUBL ConferencePaper 002411902CER01 681597 SzGeCERN 20230314212637.0 oai:cds.cern.ch:681597 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN cerncds:physics SPIRES 5572509 Inspire 620470 arXiv physics/0306046 physics ATL-DAQ-2003-038 CHEP-2003-THGT010 eng ATL-COM-DAQ-2003-062 physics/0306046 Elsing, M. INSPIRE-00213874 CERN Configuration of the ATLAS Trigger System A TOROIDAL LHC APPARATUS LARGE HADRON COLLIDER 2003 Geneva CERN 24 Mar 2003 8 p Conference talks on ATLAS In this paper a conceptual overview is given of the software foreseen to configure the ATLAS trigger system. Two functional software prototypes have been developed to configure the ATLAS Level-1 emulation and the High-Level Trigger software. Emphasis has been put so far on following a consistent approach between the two trigger systems and on addressing their requirements, taking into account the specific use-case of the `Region-of-Interest' mechanism for the ATLAS Level-2 trigger. In the future the configuration of the two systems will be combined to ensure a consistent selection configuration for the entire ATLAS trigger system. In this paper a conceptual overview is given of the software foreseen to configure the ATLAS trigger system. Two functional software prototypes have been developed to configure the ATLAS Level-1 emulation and the High-Level Trigger software. Emphasis has been put so far on following a consistent approach between the two trigger systems and on addressing their requirements, taking into account the specific use-case of the `Region-of-Interest' mechanism for the ATLAS Level-2 trigger. In the future the configuration of the two systems will be combined to ensure a consistent selection configuration for the entire ATLAS trigger system. Inspire CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 LANL EDS SzGeCERN Detectors and Experimental Techniques CERN Trigger CERN HLT CERN LVL1 CERN Configuration CERN ATLAS CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN ARTICLE CERN LHC ATLAS LANL EDS Instrumentation and Detectors Schoerner-Sadenius, Thomas CERN Hamburg U. EP on behalf of the ATLAS High Level Trigger Group CHEP 2003 Computing in High Energy Physics THGT010 2003 eConf C 0303241 634021 C03-03-24.1 http://cdsweb.cern.ch/search.py?sysno=002378723CER CERN Library Record http://weblib.cern.ch/abstract?ATL-DAQ-2003-038 http://www.slac.stanford.edu/econf/C0303241/proc/papers/THGT010.PDF Proceedings write-up on eConf 2439584 139052 http://cds.cern.ch/record/681597/files/arXiv:physics_0306046.pdf 14637 1341257 http://cds.cern.ch/record/681597/files/daq-2003-038.ps.gz Access to fulltext 14637 184328 http://cds.cern.ch/record/681597/files/daq-2003-038.pdf Access to fulltext 14638 633856 http://cds.cern.ch/record/681597/files/daq-2003-038_slides.ppt Access to fulltext markus.elsing@cern.ch n 200346 13 20100901 1606 CER01 20031107 20100906 0951 CER01 20031107 597895 THGT010 lajolla20030324 PUBLIC 002408088CER INTNOTEATLASPUBL NOTE ARTICLE ConferencePaper 1233509 681579 SzGeCERN 20180924170410.0 oai:cds.cern.ch:681579 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1109/TNS.2004.829548 DOI CERN annual report 2004-3.1526 SPIRES 5910730 Inspire 638473 ATL-DAQ-2003-037 eng CERN-ATL-DAQ-2003-037 ATL-COM-DAQ-2003-057 Wiedenmann, W Studies for a common selection software environment in ATLAS from the Level-2 Trigger to the offline reconstruction 2004 Geneva CERN 30 Oct 2003 revised version number 1 submitted on 2003-11-07 17:36:21 The Atlas High Level Trigger's primary function of event selection will be accomplished with a Level-2 trigger farm and an Event Filter farm, both running software components developed in the Atlas offline reconstruction framework. While this approach provides a unified software framework for event selection, it poses strict requirements on offline components critical for the Level-2 trigger. A Level-2 decision in Atlas must typically be accomplished within 10 ms and with multiple event processing in concurrent threads. In order to address these constraints, prototypes have been developed that incorporate elements of the Atlas Data Flow -, High Level Trigger -, and offline framework software. To realize a homogeneous software environment for offline components in the High Level Trigger, the Level-2 Steering Controller was developed. With electron/gamma- and muon-selection slices it has been shown that the required performance can be reached, if the offline components used are carefully designed and optimized for the application in the High Level Trigger. CC-BY-4.0 Preprint SIS ATLAS2003 SIS CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN High Level Trigger, CERN Selection Software Environment, CERN Steering Controller, CERN athenaMT ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S R Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A T Wengler, T Werner, P Wheeler, S Wickens, F J Wielers, M Zobernig, G EP NSS-MIC 2003 - IEEE Nuclear Science Symposium and Medical Imaging Conference, Part 1 915-20 3 pt.3 IEEE Trans. Nucl. Sci. 51 2004 http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-037 Access to fulltext http://cds.cern.ch/record/681579/files/daq-2003-037.pdf Access to fulltext http://cds.cern.ch/record/681579/files/daq-2003-037.ps.gz Access to fulltext n 200346 a2004 13 20100906 0951 CER01 20031107 559244 915-20 portland20031019 PUBLIC 002408070CER INTNOTEATLASPUBL ARTICLE ConferencePaper 685509 SzGeCERN 20180529221224.0 oai:cds.cern.ch:685509 cerncds:FULLTEXT WAI01 000011900 SPIRES 5581060 ATL-DAQ-2003-034 eng ATL-COM-DAQ-2003-015 CERN-ATL-DAQ-2003-034 Boisvert, V AUTHOR|(CDS)2068244 #BEARD# A New Implementation of the Region-of-Interest Strategy for the ATLAS Second Level Trigger 2003 Geneva CERN 11 Jun 2003 6 p Among the many challenges presented by the future ATLAS detector at the LHC are the high data taking rate and volume and the derivation of a rapid trigger decis ion with limited resources. To address this challenge within the ATLAS second le vel trigger system, a Region-of-Interest mechanism has been adopted which dramat ically reduces the relevant fiducial volume necessary to be readout and processe d to small regions guided by the hardware-based first level trigger. Software ha s been developed to allow fast translation between arbitrary geometric regions a nd identifiers of small collections of the event data. This facilitates on-deman d data retrieval and collection building. The system is optimized to minimize th e amount of data transferred and unnecessary building of complex objects. Detail s of the design and implementation are presented along with preliminary performance results. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Region Selector CERN Region-of-Interest CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, A Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Ma, H Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Rajagopalan, S Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A Wengler, T Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G EP CHEP 2003 Computing in High Energy Physics http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-034 Access to fulltext http://cds.cern.ch/record/685509/files/daq-2003-034.pdf Access to fulltext http://cds.cern.ch/record/685509/files/daq-2003-034.ps.gz Access to fulltext http://www.slac.stanford.edu/econf/C0303241/proc/papers/_vti_cnf/TUGT008.PDF Published version n 200345 91 20100906 0951 CER01 20031121 597895 lajolla20030324 PUBLIC 002411892CER INTNOTEATLASPUBL NOTE ConferencePaper 685533 20060119 0931 CER01 20031121 002411916CER UNKNOWN DELETED 685511 20050602 1434 CER01 20031121 002411894CER UNKNOWN DELETED 685510 SzGeCERN 20180924170406.0 oai:cds.cern.ch:685510 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1109/TNS.2004.828620 DOI WAI01 000011901 SPIRES 5910862 Inspire 638484 ATL-CONF-2003-003 eng ATL-DAQ-2003-029 ATL-COM-CONF-2003-005 CERN-ATL-CONF-2003-003 Armstrong, S An Overview of Algorithms for the ATLAS High Level Trigger 2004 Geneva CERN 09 Jun 2003 7 p Conference talks on ATLAS revised version number 1 submitted on 2003-06-26 14:59:28 Following rigorous software design and analysis methods, an object-based architecture has been developed to derive the second- and third-level trigger decisions for the future ATLAS detector at the LHC. The functional components within this system responsible for generating elements of the trigger decisions are algorithms running within the software architecture. Relevant aspects of the architecture are reviewed along with concrete examples of specific algorithms. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Algorithms CERN Online CERN PESA CERN HLT CERN Level 2 CERN Event Filter ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A Wengler, T Werner, P Wheeler, S Wickens, F J Wiedenmann, W Wielers, M Zobernig, G EP ATLAS High-Level Trigger Group 367-374 3 IEEE Trans. Nucl. Sci. 51 2004 http://documents.cern.ch/cgi-bin/setlink?base=generic&categ=public&id=cer-002411893 IEEE Published version, local copy http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=conf-2003-003 Access to fulltext http://cds.cern.ch/record/685510/files/conf-2003-003.pdf Access to fulltext http://cds.cern.ch/record/685510/files/conf-2003-003.ps Access to fulltext http://cds.cern.ch/record/685510/files/conf-2003-003.ps.gz Access to fulltext n 200345 a2005 13 20100906 0951 CER01 20031121 538124 367-374 montreal20030518 PUBLIC 002411893CER INTNOTEATLASPUBL ARTICLE ConferencePaper 685521 SzGeCERN 20180924170406.0 oai:cds.cern.ch:685521 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 10.1109/TNS.2004.828875 DOI WAI01 000011925 SPIRES 5910838 Inspire 638481 ATL-DAQ-2003-013 eng ATL-COM-DAQ-2003-028 CERN-ATL-DAQ-2003-013 Wheeler, S An Overview of the ATLAS High Level Trigger Dataflow and Supervision 2004 Geneva CERN 18 Jun 2003 6 p The ATLAS High Level Trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the Event Filter (EF). The LVL2 trigger performs event selection with optimized algorithms using selected data guided by Region of Interest pointers provided by the LVL1 trigger. Those events selected by LVL2, are built into complete events, which are passed to the EF for a further stage of event selection and classification using off-line algorithms. Events surviving the EF selection are passed for off-line storage. The two stages of HLT are implemented on processor farms. The concept of distributing the selection process between LVL2 and EF is a key element in the architecture, which allows it to be flexible to changes (luminosity, detector knowledge, background conditions etc.) Although there are some differences in the requirements between these sub-systems there are many commonalities. An overview of the dataflow (event selection) and supervision (control, configuration, monitoring) activities in the HLT is given, highlighting where commonalities between the two sub-systems can be exploited and indicating where requirements dictate that implementations differ. An HLT prototype system has been built at CERN. Functional testing is being carried out in order to validate the HLT architecture. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN ATLAS CERN Trigger CERN HLT CERN Dataflow CERN Supervision CERN Overview ARTICLE CERN INTNOTE INTNOTEATLASPUBL PUBLATLAS CERN LHC ATLAS Armstrong, S Baines, J T M Bee, C P Biglietti, M Bogaerts, A Boisvert, V AUTHOR|(CDS)2068244 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Brandt, S Caron, B Casado, M P Cataldi, G Cavalli, D Cervetto, M Comune, G Corso-Radu, A Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Díaz-Gómez, M Dos Anjos, A Drohan, J Ellis, Nick Elsing, M Epp, B Etienne, F Falciano, S Farilla, A George, S Ghete, V M González, S Grothe, M Kaczmarska, A Karr, K M Khomich, A Konstantinidis, N P Krasny, W Li, W Lowe, A Luminari, L Meessen, C Mello, A G Merino, G Morettini, P Moyse, E Nairz, A Negri, A Nikitin, N V Nisati, A Padilla, C Parodi, F Pérez-Réale, V Univ Bern Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Pinto, P Polesello, G Qian, Z Resconi, S Rosati, S Scannicchio, D A Schiavi, C Schörner-Sadenius, T Segura, E De Seixas, J M Shears, T G Sivoklokov, S Yu Smizanska, M Soluk, R A Stanescu, C Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Touchard, F Vercesi, V Watson, A Wengler, T Werner, P Wickens, F J Wiedenmann, W Wielers, M Zobernig, G EP RT 2003 13th IEEE-NPSS Real Time Conference 361-366 3 IEEE Trans. Nucl. Sci. 51 2004 http://documents.cern.ch/cgi-bin/setlink?base=generic&categ=public&id=cer-002411904 IEEE Published version, local copy http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-013 Access to fulltext http://cds.cern.ch/record/685521/files/daq-2003-013.pdf Access to fulltext http://cds.cern.ch/record/685521/files/daq-2003-013.ps.gz Access to fulltext http://cds.cern.ch/record/685521/files/daq-2003-013_rt_talk.pdf Access to fulltext n 200345 a2005 13 20100906 0951 CER01 20031121 538124 361-366 montreal20030518 PUBLIC 002411904CER INTNOTEATLASPUBL ARTICLE ConferencePaper 685519 20060119 0929 CER01 20031121 002411902CER UNKNOWN DELETED 685515 SzGeCERN 20180529221224.0 oai:cds.cern.ch:685515 cerncds:FULLTEXT WAI01 000011908 Inspire 1195865 ATL-DAQ-2003-006 eng ATL-COM-DAQ-2003-019 CERN-ATL-DAQ-2003-006 Wheeler, S Event Filter infrastructure validation tests 2003 Geneva CERN 13 Jun 2003 mult. p We present here a summary of the validation tests which have been done on the different components of the Event Filter infrastructure. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Event Filter Infrastructure CERN validation tests CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Bosman, M AUTHOR|(CDS)2050984 #BEARD# Merino, G Sánchez, C Segura, E Bee, C P Meessen, C Qian, Z Touchard, F Negri, N EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2003-006 Access to fulltext http://cds.cern.ch/record/685515/files/daq-2003-006.pdf Access to fulltext http://cds.cern.ch/record/685515/files/daq-2003-006.ps.gz Access to fulltext n 200345 91 20051121 1935 CER01 20031121 PUBLIC 002411898CER INTNOTEATLASPUBL NOTE 588646 SzGeCERN 20161219134029.0 DOI 10.1109/TNS.2002.1003741 oai:cds.cern.ch:588646 cerncds:CERN CERCER 2347476 INSPEC 7297436 CERN annual report 2002-3.0870 Inspire 599675 eng Radu, A High-level triggers in ATLAS 2002 The trigger and data-acquisition system of ATLAS, a general-purpose experiment at the Large Hadron Collider (LHC), will be based on three levels of online selection. Starting from the bunch-crossing rate of 40 MHz (an interaction rate of 1 GHz at design luminosity-~ 10/sup 34 / cm/sup -2/s/sup -1/), the first level trigger (LVL1) will reduce the rate to about 75 kHz using purpose-built hardware. An additional factor of about 10/sup 3/ in rate reduction is to be provided by the high-level triggers (HLTs) system, with two main functional components: the second-level trigger (LVL2) and the event filter(EF). LVL2 has to provide a fast decision (guided by the information from LVL1), using only a fraction of the full event, however, already at full granularity and can combine all subdetectors. At the EF, a refined selection is made with the. capability of full event reconstruction and the use of detailed calibration and alignment parameters. The HLT software architecture will provide a common and rather "lightweight" framework, able to execute the various selection algorithms and to control the sequence of execution according to the event properties and configuration parameters. System flexibility is a strong requirement in order to adapt to changes, e.g., in luminosity and background conditions. This paper will present the approach chosen for the software design of the HLT selection framework and of the algorithm interface, giving examples for selection sequences and algorithms. Based on currently existing prototypes, results for both the expected physics (signal efficiency, background rejection) and system (execution time) performance will also be shown. (10 refs). 7297436 SIS INSP2002 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN LHC ATLAS INSPEC A2980C (Computer systems for nuclear information processing) INSPEC A2980F (Programming for nuclear information processing) INSPEC C7320 (Physics and chemistry computing) INSPEC C5520 (Data acquisition equipment and techniques) INSPEC C6130 (Data handling techniques) INSPEC data-acquisition INSPEC high-energy-physics-instrumentation-computing INSPEC position-sensitive-particle-detectors INSPEC software-architecture Baines, J T M Baratella, A Caron, B Davis, R A Di Mattia, S Elsing, M Epp, B Falciano, S Ghete, V M González-Pineiro, B George, S González, S Hauser, R Hutchcroft, D E Hansl-Kozanecka, Traudl Wei Dong Li Mommsen, R K Morettini, P Nairz, A Nikitin, N V Negri, A Nisati, A Pinfold, James L Parodi, F Polesello, G Si Jin Qian Rizatdinova, F K Robins, S Shank, J T Slowe, C Sherwood, P Smizanska, M Shears, T G Sessler, M Sivoklokov, S Yu Scannicchio, D A Tapprogge, Stefan AUTHOR|(CDS)2108488 #BEARD# Vercesi, V Wielers, M Wicke, D Wiedenmann, W EP 377-82 2 pt.1 IEEE Trans. Nucl. Sci. 49 2002 LHEP h 200252 a2002 13 20070702 1114 CER01 20021025 490161 377-82 valencia20010604 PUBLIC 002347476CER ARTICLE ConferencePaper 685324 SzGeCERN 20180529221206.0 oai:cds.cern.ch:685324 cerncds:FULLTEXT ATLATL 0001985 WAI01 000003049 Inspire 1195680 ATL-DAQ-2002-004 eng ATL-COM-DAQ-2002-006 CERN-ATL-DAQ-2002-004 Bee, C P ATLAS TDAQ/DCS Event filter : Supervision Requirements 2002 Geneva CERN 04 Feb 2002 21 p revised version number 1 submitted on 2002-02-12 14:25:58 The second iteration of the Software Development Process of the ATLAS Event Filter has been launched. A summary of the design phase of the first iteration is given in the introduction. The document gives constraints, use cases, functional and non-functional requirements for the Supervision sub-system of the Event Filter. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Event Filter CERN Requirements CERN Supervision CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Etienne, F Meessen, C Qian, Z Touchard, F Green, P Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Wheeler, S Negri, A Scannicchio, D A Vercesi, V EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2002-004 Access to fulltext document http://cds.cern.ch/record/685324/files/daq-2002-004.pdf Access to fulltext document http://cds.cern.ch/record/685324/files/daq-2002-004.ps.gz Access to fulltext document francois.touchard@in2p3.fr n 200345 91 20051121 1935 CER01 20031121 PUBLIC 002411707CER INTNOTEATLASPUBL NOTE 685323 SzGeCERN 20180529221206.0 oai:cds.cern.ch:685323 cerncds:FULLTEXT ATLATL 0001984 WAI01 000003048 Inspire 1195681 ATL-DAQ-2002-003 eng ATL-COM-DAQ-2002-005 CERN-ATL-DAQ-2002-003 Bee, C P ATLAS TDAQ/DCS Event Filter Event Handler Requirements 2002 Geneva CERN 04 Feb 2002 18 p revised version number 1 submitted on 2002-02-12 14:24:40 The second iteration of the Software Development Process of the ATLAS Event Filter has been launched. A summary of the design phase of the first iteration is given in the introduction. The document gives constraints, use cases, functional and non-functional requirements for the Event Handler sub-system of the Event Filter. CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN data flow CERN Event Filter CERN Requirements CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Etienne, F Meessen, C Qian, Z Touchard, F Green, P Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Wheeler, S Negri, A Scannicchio, D A Vercesi, V EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2002-003 Access to fulltext document http://cds.cern.ch/record/685323/files/daq-2002-003.pdf Access to fulltext document http://cds.cern.ch/record/685323/files/daq-2002-003.ps.gz Access to fulltext document francois.touchard@in2p3.fr n 200345 91 20070530 1150 CER01 20031121 PUBLIC 002411706CER INTNOTEATLASPUBL NOTE 684010 SzGeCERN 20180529221119.0 oai:cds.cern.ch:684010 cerncds:FULLTEXT ATLATL 0001635 WAI01 000002725 Inspire 1195490 ATL-DAQ-2000-005 eng ATL-COM-DAQ-2000-003 CERN-ATL-DAQ-2000-005 Beck, H P Event Filter Summary Document 2000 Geneva CERN 17 Feb 2000 mult. p revised version number 1 submitted on 2000-03-06 11:23:18 CC-BY-4.0 Preprint PUB SIS CERN EDS SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN Distributed Computing CERN Event Filter CERN High Level Trigger CERN Online CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Bee, C P Boissat, C Bosman, M AUTHOR|(CDS)2050984 #BEARD# Davis, R Duval, P Y Etienne, F Fede, E Francis, D J Green, P Hemmer, F Jones, R Laugier, D MacKinnon, J Mapelli, L Meessen, C Mommsen, R K Mornacchi, Giuseppe CERN AUTHOR|(CDS)2067960 #BEARD# Nacasch, R Negri, A Pacheco, A Pinfold, J L AUTHOR|(CDS)2072623 #BEARD# Polesello, G Qian, Z Radu, A Rafflin, C Scannicchio, D A Stanescu, C Touchard, F Vercesi, V EP http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=daq-2000-005 Access to fulltext document http://cds.cern.ch/record/684010/files/daq-2000-005.pdf Access to fulltext document http://cds.cern.ch/record/684010/files/daq-2000-005_version1.pdf Access to fulltext document http://cds.cern.ch/record/684010/files/daq-2000-005_version1.ps.gz Access to fulltext document Francois.Touchard@cern.ch n 200345 91 20051121 1935 CER01 20031115 PUBLIC 002410423CER INTNOTEATLASPUBL NOTE 457143 SzGeCERN 20180209114410.0 oai:cds.cern.ch:457143 cerncds:CERN INSPEC 6670633 eng Beck, H P The ATLAS event filter 1999 Geneva CERN 1999 An overview of the studies for the ATLAS Event Filter is given. The architecture and the high level design of the DAQ-1 prototype is presented. The current status if the prototypes is briefly given. Finally, future plans and milestones are given. (11 refs). SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN LHC ATLAS INSPEC A2980 (Nuclear information processing) INSPEC A0650D (Data gathering, processing, and recording, data displays including digital techniques) INSPEC C7320 (Physics and chemistry computing) INSPEC C7410H (Computerised instrumentation) INSPEC C5520 (Data acquisition equipment and techniques) INSPEC C5620L (Local area networks) INSPEC C6150N (Distributed systems software) INSPEC data-acquisition INSPEC distributed-processing INSPEC high-energy-physics-instrumentation-computing INSPEC workstation-clusters Bee, C P Boissat, C Davis, R Duval, P Y Etienne, F Fede, E Francis, D Green, P Hemmer, F Jones, R MacKinnon, J Mapelli, Livio P Meessen, C Mommsen, R K Mornacchi, Giuseppe AUTHOR|(CDS)2067960 #BEARD# Nacasch, R Negri, A Pinfold, James L Polesello, G Qian, Z Rafflin, C Scannicchio, D A Stanescu, C Touchard, F Vercesi, V EP Bern Univ CERN h 200052 a2000 13 20100305 2002 CER01 20000906 379714 503-6 santafe990614 PUBLIC 002209082CER ARTICLE ConferencePaper 457147 SzGeCERN 20180209114411.0 oai:cds.cern.ch:457147 cerncds:CERN INSPEC 6670627 eng Negri, A Prototype of an SMP based sub-farm of the ATLAS event filter 1999 The Event Filter system in the ATLAS experiment at the CERN Large Hadron Collider (LHC) is required to implement the final on-line event selection in the Data Acquisition system on a processor farm. The Symmetric Multi Processor (SMP) implementation of the Event Filter is attractive because it offers advantages in data sharing and transfer between the different hardware and software components. In order to achieve a better exploitation of the hardware resources the sub-farm code has been implemented as a single multi-threaded process, complying to Posix 1003.1c standard. Several tests have been performed in order to measure the global throughput of the sub-farm and to check the software and hardware characteristics. All the results obtained until now indicate that the hardware and software architectures do not limit the behaviour of the sub-farm. They also show the robustness and scalability of the software multi-threaded architecture, and the absence of bandwidth limits and bottleneck on transfer. (4 refs). SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN LHC ATLAS INSPEC A2980 (Nuclear information processing) INSPEC A0650D (Data gathering, processing, and recording, data displays including digital techniques) INSPEC C7320 (Physics and chemistry computing) INSPEC C5520 (Data acquisition equipment and techniques) INSPEC C7410H (Computerised instrumentation) INSPEC C5620L (Local area networks) INSPEC C6150N (Distributed systems software) INSPEC data-acquisition INSPEC high-energy-physics-instrumentation-computing INSPEC multi-threading INSPEC workstation-clusters Polesello, G Scannicchio, D A Stanescu, C Vercesi, V EP Pavia Univ h 200052 a2000 13 20100305 2002 CER01 20000906 379714 484-6 santafe990614 PUBLIC 002209086CER ARTICLE ConferencePaper 683636 SzGeCERN 20180607144447.0 ATLATL 0001197 WAI01 000002326 INSPEC 6254724 CERN annual report 1999-3.0221 Inspire 501012 ATL-MUON-98-244 eng ATL-COM-MUON-98-006 CERN-ATL-MUON-98-244 NOTE-MUON-244 Biscossa, A Construction and test of a full-scale prototype of an ATLAS muon spectrometer tracking chamber 1999 Geneva CERN 9 Aug 1998 34 p CC-BY-4.0 Preprint PUB SIS INSP99 SIS INIS2004 6254724 SIS ATLAS2003 giva a faire SzGeCERN Detectors and Experimental Techniques SzGeCERN MUON ARTICLE CERN CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN LHC ATLAS Cambiaghi, M Conta, C Ferrari, R Fraternali, M Freddi, A Iuvino, G Lanza, A Livan, M Negri, A Polesello, G Rimoldi, A Vercellati, F Vercesi, V Bagnaia, P Bini, C Capradossi, G Ciapetti, G Creti, P De Zorzi, G Iannone, M Lacava, F Mattei, A Nisati, L Oberson, P Pontecorvo, L Rosati, S Veneziano, Stefano AUTHOR|(CDS)2108695 #BEARD# Zullo, A Daly, C Davisson, R Guldenmann, H Lubatti, H J Zhao, T EP 140-64 1-2 Nucl. Instrum. Methods Phys. Res., A 425 1999 http://preprints.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=muon-98-244 Access to fulltext document http://cds.cern.ch/record/683636/files/muon-98-244.ps.gz Access to fulltext document n 199900 a1999 13 20100709 1015 CER01 20031115 PUBLIC 002410049CER INTNOTEATLASPUBL ARTICLE NOTE 000321264CER01 DOI 10.1016/S0168-9002(98)01313-8 oai:cds.cern.ch:683636 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN 384751 SzGeCERN 20180209114621.0 oai:cds.cern.ch:384751 cerncds:CERN CERN annual report 1999-3.0138 INSPEC 6184533 eng Biscossa, A Calypso a full-scale MDT prototype for the ATLAS muon spectrometer 1998 SIS INSP99 6184533 SzGeCERN Detectors and Experimental Techniques ARTICLE CERN CERN LHC ATLAS Cambiaghi, M Conta, C Ferrari, R Fraternali, M Freddi, A Iuvino, G Lanza, A Livan, M Negri, A Polesello, G Rimoldi, A Vercellati, F Vercesi, V Bagnaia, P Bini, C Capradossi, G Ciapetti, G De Zorzi, G Di Marco, S Iannone, M Lacava, F Mattei, A Nisati, L Oberson, P Pontecorvo, L Rosati, S Veneziano, Stefano AUTHOR|(CDS)2108695 #BEARD# Zanello, L Zullo, A Creti, P Daly, C Davisson, R Guldenmann, H Lubatti, H J Zhao, T EP Dipt di Fisica Nucl e Teorica, Pavia Univ, Italy n 199900 a1999 13 20100305 2001 CER01 19990415 342536 331-5 vienna980223 PUBLIC 000310756CER ARTICLE ConferencePaper 685573 SzGeCERN 20180607144444.0 oai:cds.cern.ch:685573 cerncds:FULLTEXT ATLATL 0000296 WAI01 000001430 Inspire 1195919 ATL-MUON-97-196 eng ATL-M-PN-196 CERN-ATL-MUON-97-196 Bagnaia, P Testbeam results from the Calypso MDT Chamber Rev. 24 Oct. 1997 : sent on 20-11-1997 1997 Geneva CERN 29 Jun 1997 mult. p CC-BY-4.0 Preprint PUB SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN MUON CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Bini, C Biscossa, A Cambiaghi, M Ciapetti, G Conta, C Creti, P Daly, C Davisson, R Deile, M AUTHOR|(CDS)2067746 #BEARD# De Zorzi, G Ferrari, R Fraternali, M Gauzzi, P Lacava, F Lanza, A Livan, M Lubatti, H J Negri, A Nisati, L Oberson, P Polesello, G Pontecorvo, L Rimoldi, A Rosati, S Veneziano, Stefano AUTHOR|(CDS)2108695 #BEARD# Vercesi, V Zhao, T PPE http://preprints.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=muon-97-196 Access to fulltext document http://cds.cern.ch/record/685573/files/muon-97-196.ps.gz Access to fulltext document n 200345 91 20081029 1438 CER01 20031121 PUBLIC 002411956CER INTNOTEATLASPUBL NOTE 684181 SzGeCERN 20180529221136.0 oai:cds.cern.ch:684181 cerncds:FULLTEXT ATLATL 0000258 WAI01 000001392 Inspire 1195605 ATL-MUON-97-158 eng ATL-M-PN-158 CERN-ATL-MUON-97-158 Bagnaia, P Measurement of the maximum drift time in the Calypso MDT Chamber 1997 Geneva CERN 05 May 1997 mult. p CC-BY-4.0 Preprint PUB SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN MUON CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Bini, C Negri, A Oberson, P Rosati, S PPE http://preprints.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=muon-97-158 Access to fulltext document http://cds.cern.ch/record/684181/files/muon-97-158.pdf Access to fulltext document http://cds.cern.ch/record/684181/files/muon-97-158.ps.gz Access to fulltext document n 200345 91 20081029 1436 CER01 20031115 PUBLIC 002410594CER INTNOTEATLASPUBL NOTE 683937 SzGeCERN 20180529220306.0 oai:cds.cern.ch:683937 cerncds:FULLTEXT ATLATL 0000236 WAI01 000001370 Inspire 1195459 ATL-MUON-97-136 eng ATL-M-PN-136 CERN-ATL-MUON-97-136 Biscossa, A The First Full-Scale Prototype of a BIL MDT Chamber for the ATLAS Muon Spectrometer 1997 Geneva CERN 14 Jan 1997 mult. p CC-BY-4.0 Preprint PUB SIS ATLAS2003 SzGeCERN Detectors and Experimental Techniques SzGeCERN MUON CERN Internal Note INTNOTEATLASPUBL INTNOTE PUBLATLAS CERN CERN LHC ATLAS Cambiaghi, M Conta, C Ferrari, A Fraternali, M Freddi, A Iuvino, G Lanza, A Livan, M Negri, A Polesello, G Rimoldi, A Vercesi, V Vercellati, F Bagnaia, P Bini, C Capradossi, G Ciapetti, G De Zorzi, G Iannone, M Lacava, F Mattei, A Nisati, L Oberson, P Pontecorvo, L Rosati, S Veneziano, Stefano AUTHOR|(CDS)2108695 #BEARD# Zullo, A Daly, C Davisson, R Guldenmann, H Lubatti, H J Zhao, T PPE http://preprints.cern.ch/cgi-bin/setlink?base=atlnot&categ=Note&id=muon-97-136 Access to fulltext document http://cds.cern.ch/record/683937/files/muon-97-136.pdf Access to fulltext document http://cds.cern.ch/record/683937/files/muon-97-136.ps.gz Access to fulltext document n 200345 91 20081029 1435 CER01 20031115 PUBLIC 002410350CER INTNOTEATLASPUBL NOTE 1268564 SzGeCERN 20251117082842.0 CERN LHC ATLAS LANL EDS hep-ex Abat, E. ROR:https://ror.org/03z9tma90 Bogazici U. Abbott, B. INSPIRE-00060668 ORCID:0000-0002-5888-2734 ROR:https://ror.org/02aqsxs83 Oklahoma U. Abdallah, J. INSPIRE-00305555 ORCID:0009-0006-6687-0836 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Abdelalim, A.A. INSPIRE-00210403 ROR:https://ror.org/01swzsf04 Geneva U. Abdesselam, A. INSPIRE-00210415 ORCID:0000-0002-1145-8434 ROR:https://ror.org/052gg0110 Oxford U. Abdinov, O. INSPIRE-00210427 Wedel, Fachhochsch. Abi, B. INSPIRE-00210439 ORCID:0000-0001-7036-9645 ROR:https://ror.org/01g9vbr38 Oklahoma State U. Abolins, M. INSPIRE-00060767 ROR:https://ror.org/05hs6h993 Michigan State U. Abramowicz, H. INSPIRE-00060790 ORCID:0000-0001-5329-6640 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Abreu, H. INSPIRE-00143063 ROR:https://ror.org/03gc1p724 Orsay, LAL Acerbi, E. INSPIRE-00229106 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Acharya, B.S. INSPIRE-00060856 ORCID:0000-0002-8588-9157 ROR:https://ror.org/04m8t3f14 ROR:https://ror.org/009gyvm78 INFN, Udine ICTP, Trieste Ackers, M. INSPIRE-00229129 ROR:https://ror.org/041nas322 Bonn U. Adams, D.L. INSPIRE-00210440 ORCID:0000-0002-4332-9530 ROR:https://ror.org/02ex6cf31 Brookhaven Addy, T.N. INSPIRE-00020510 ROR:https://ror.org/05fde5z47 Hampton U. Adelman, J. INSPIRE-00041460 ROR:https://ror.org/03v76x132 Yale U. Aderholz, M. INSPIRE-00229136 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Adomeit, S. INSPIRE-00210452 ROR:https://ror.org/05591te55 Munich U. Adorisio, C. INSPIRE-00210464 ROR:https://ror.org/02rc97e94 INFN, Cosenza Calabria U. Adragna, P. INSPIRE-00305564 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Adye, T. INSPIRE-00060997 ORCID:0000-0003-0627-5059 ROR:https://ror.org/03gq8fr08 Rutherford Aefsky, S. INSPIRE-00210476 ROR:https://ror.org/05abbep66 Brandeis U. Aguilar-Saavedra, J.A. INSPIRE-00061050 ORCID:0000-0002-5475-8920 ROR:https://ror.org/04njjy449 Granada U. Aharrouche, M. INSPIRE-00025856 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Ahlen, S.P. INSPIRE-00189655 ROR:https://ror.org/05qwgg493 Boston U. Ahles, F. INSPIRE-00210488 ROR:https://ror.org/0245cg223 Freiburg U. Ahmad, A. INSPIRE-00057235 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Ahmed, H. INSPIRE-00198527 ROR:https://ror.org/0160cpw27 Alberta U. Ahsan, M. INSPIRE-00039197 ORCID:0000-0003-3826-6333 ROR:https://ror.org/049emcs32 Texas U., Dallas Aielli, G. INSPIRE-00210494 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Akdogan, T. INSPIRE-00210506 ROR:https://ror.org/03z9tma90 Bogazici U. Akesson, P.F. ROR:https://ror.org/01ggx4157 CERN Akesson, T.P.A. INSPIRE-00061248 ORCID:0000-0003-4141-5408 ROR:https://ror.org/012a77v79 Lund U. Akimoto, G. INSPIRE-00210518 ROR:https://ror.org/009gyvm78 ICTP, Trieste Akimov, A.V. INSPIRE-00210520 ROR:https://ror.org/01jkd3546 Lebedev Inst. Aktas, A. INSPIRE-00210531 ROR:https://ror.org/0245cg223 Freiburg U. Alam, M.S. INSPIRE-00061340 ROR:https://ror.org/012zs8222 SUNY, Albany Alam, M.A. INSPIRE-00210543 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Albrand, S. INSPIRE-00210555 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Aleksa, M. INSPIRE-00210567 ORCID:0000-0002-1936-9217 ROR:https://ror.org/01ggx4157 CERN Aleksandrov, I.N. INSPIRE-00210579 ROR:https://ror.org/044yd9t77 Dubna, JINR Aleppo, M. INSPIRE-00229145 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Alessandria, F. INSPIRE-00229151 ROR:https://ror.org/04w4m6z96 INFN, Milan Alexa, C. INSPIRE-00061476 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Alexander, G. INSPIRE-00179447 ORCID:0000-0001-5796-3607 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Alexandre, G. INSPIRE-00210580 ROR:https://ror.org/01swzsf04 Geneva U. Alexopoulos, T. INSPIRE-00061543 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Alhroob, M. INSPIRE-00210593 ORCID:0000-0001-7569-7111 ROR:https://ror.org/041nas322 Bonn U. Aliev, M. INSPIRE-00210605 ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Alimonti, G. INSPIRE-00004775 ROR:https://ror.org/04w4m6z96 INFN, Milan Alison, J. INSPIRE-00210617 ORCID:0000-0003-0843-1641 ROR:https://ror.org/00b30xv10 Pennsylvania U. Aliyev, M. INSPIRE-00210629 Wedel, Fachhochsch. Allport, P.P. INSPIRE-00147775 ORCID:0000-0001-7303-2570 ROR:https://ror.org/04xs57h96 Liverpool U. Allwood-Spiers, S.E. INSPIRE-00053190 ROR:https://ror.org/00vtgdb53 Glasgow U. Almond, J. INSPIRE-00210630 ROR:https://ror.org/027m9bs27 Manchester U. Aloisio, A. INSPIRE-00210642 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Alon, R. INSPIRE-00210654 ROR:https://ror.org/0316ej306 Weizmann Inst. Alonso, A. INSPIRE-00210666 ORCID:0000-0003-1259-0573 ROR:https://ror.org/012a77v79 Lund U. Alonso, J. INSPIRE-00233328 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Alviggi, M.G. INSPIRE-00210678 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Amako, K. INSPIRE-00210680 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba Amaral, P. INSPIRE-00229165 ROR:https://ror.org/01ggx4157 CERN Ambrosini, G. ROR:https://ror.org/02k7v4d05 Bern U. Ambrosio, G. INSPIRE-00332262 ORCID:0000-0002-5342-2480 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/020hgte69 INFN, Milan Fermilab Amelung, C. INSPIRE-00210696 ROR:https://ror.org/05abbep66 Brandeis U. Ammosov, V.V. INSPIRE-00229176 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Amorim, A. INSPIRE-00210710 ORCID:0000-0003-0638-2321 ROR:https://ror.org/01hys1667 LIP, Lisbon Amoros, G. INSPIRE-00226515 ORCID:0000-0001-8685-4610 ROR:https://ror.org/017xch102 Valencia U., IFIC Amram, N. INSPIRE-00210721 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Anastopoulos, C. INSPIRE-00210733 ORCID:0000-0003-1587-5830 ROR:https://ror.org/05krs5044 Sheffield U. Andeen, T. INSPIRE-00005735 ORCID:0000-0002-4413-871X ROR:https://ror.org/01ggx4157 CERN Anders, C.F. INSPIRE-00210745 ORCID:0000-0001-6632-6327 ROR:https://ror.org/0245cg223 Freiburg U. Anderson, K.J. INSPIRE-00210757 ROR:https://ror.org/024mw5h28 Chicago U., EFI Andreazza, A. INSPIRE-00062128 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Andrei, V. INSPIRE-00210769 ROR:https://ror.org/038t36y30 Heidelberg U. Andrieux, M-L. INSPIRE-00229181 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Anduaga, X.S. ROR:https://ror.org/0081fs513 Buenos Aires, CONICET Angerami, A. INSPIRE-00210782 ORCID:0000-0001-7834-8750 ROR:https://ror.org/00hj8s172 Columbia U. Anghinolfi, F. INSPIRE-00210799 ROR:https://ror.org/01ggx4157 CERN Anjos, N. INSPIRE-00210800 ROR:https://ror.org/01hys1667 LIP, Lisbon Annovi, A. INSPIRE-00041435 ROR:https://ror.org/049jf1a25 Frascati Antonaki, A. INSPIRE-00305571 ROR:https://ror.org/04gnjpq42 Athens U. Antonelli, M. INSPIRE-00210812 ROR:https://ror.org/049jf1a25 Frascati Antonelli, S. INSPIRE-00172070 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Antos, J. INSPIRE-00062457 Kosice, IEF Antunovic, B. INSPIRE-00240058 ROR:https://ror.org/01js2sh04 DESY Anulli, F. INSPIRE-00062462 ROR:https://ror.org/05eva6s33 INFN, Rome Aoun, S. INSPIRE-00210824 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Arabidze, G. INSPIRE-00305586 ROR:https://ror.org/04gnjpq42 Athens U. Aracena, I. INSPIRE-00210836 ROR:https://ror.org/05gzmn429 SLAC Arai, Y. INSPIRE-00062629 ORCID:0000-0002-1454-2287 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba Arce, A.T.H. INSPIRE-00005140 ORCID:0000-0002-7255-0832 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Archambault, J.P. INSPIRE-00210848 ROR:https://ror.org/02qtvee93 Carleton U. Arfaoui, S. INSPIRE-00210850 ROR:https://ror.org/01ggx4157 ROR:https://ror.org/00fw8bp86 CERN Marseille, CPPM Arguin, J-F. INSPIRE-00049740 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Argyropoulos, T. INSPIRE-00229208 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Arik, E. INSPIRE-00186620 ROR:https://ror.org/03z9tma90 Bogazici U. Arik, M. INSPIRE-00062802 ORCID:0000-0001-9512-8581 ROR:https://ror.org/03z9tma90 Bogazici U. Armbruster, A.J. INSPIRE-00210861 ORCID:0000-0002-9007-530X ROR:https://ror.org/00jmfr291 Michigan U. Arms, K.E. INSPIRE-00048955 ROR:https://ror.org/00rs6vg23 Ohio State U. Armstrong, S.R. INSPIRE-00170854 ROR:https://ror.org/02ex6cf31 Brookhaven Arnaez, O. INSPIRE-00210873 ROR:https://ror.org/049nhh297 Annecy, LAPP Arnault, C. INSPIRE-00210885 ROR:https://ror.org/03gc1p724 Orsay, LAL Artamonov, A. INSPIRE-00320346 ROR:https://ror.org/0238gz740 Moscow, ITEP Arutinov, D. INSPIRE-00306381 ROR:https://ror.org/041nas322 Bonn U. Asai, M. INSPIRE-00210892 ROR:https://ror.org/05gzmn429 SLAC Asai, S. INSPIRE-00210270 ROR:https://ror.org/009gyvm78 ICTP, Trieste Asfandiyarov, R. INSPIRE-00210904 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Ask, S. INSPIRE-00208615 ROR:https://ror.org/027m9bs27 Manchester U. Asman, B. INSPIRE-00063131 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Asner, D. INSPIRE-00198597 ROR:https://ror.org/02qtvee93 Carleton U. Asquith, L. INSPIRE-00180651 ROR:https://ror.org/02jx3x895 University Coll. London Assamagan, K. INSPIRE-00152949 ROR:https://ror.org/02ex6cf31 Brookhaven Astbury, A. INSPIRE-00063141 ROR:https://ror.org/04s5mat29 Victoria U. Astvatsatourov, A. INSPIRE-00210916 ROR:https://ror.org/033eqas34 Giessen U. Atoian, G. INSPIRE-00177399 ROR:https://ror.org/03v76x132 Yale U. Aubert, B. INSPIRE-00063251 ROR:https://ror.org/049nhh297 Annecy, LAPP Auerbach, B. INSPIRE-00243621 ROR:https://ror.org/03v76x132 Yale U. Auge, E. INSPIRE-00063283 ROR:https://ror.org/03gc1p724 Orsay, LAL Augsten, K. INSPIRE-00013348 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Aurousseau, M. INSPIRE-00210930 ROR:https://ror.org/049nhh297 Annecy, LAPP Austin, N. INSPIRE-00001238 ROR:https://ror.org/04xs57h96 Liverpool U. Avolio, G. INSPIRE-00210941 ORCID:0000-0003-2664-3437 ROR:https://ror.org/04gyf1771 UC, Irvine Avramidou, R. INSPIRE-00210953 ORCID:0000-0002-1645-1290 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Axen, D. INSPIRE-00229210 ROR:https://ror.org/03rmrcq20 British Columbia U. Ay, C. INSPIRE-00039158 ROR:https://ror.org/01y9bpm73 Gottingen U., II. Phys. Inst. Azuelos, G. INSPIRE-00063480 ORCID:0000-0003-4241-022X ROR:https://ror.org/0161xgx34 ROR:https://ror.org/03kgj4539 Montreal U. TRIUMF Azuma, Y. INSPIRE-00210965 ROR:https://ror.org/009gyvm78 ICTP, Trieste Baak, M.A. INSPIRE-00030065 ROR:https://ror.org/01ggx4157 CERN Baccaglioni, G. INSPIRE-00229221 ROR:https://ror.org/04w4m6z96 INFN, Milan Bacci, C. INSPIRE-00063623 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Bach, A.M. INSPIRE-00210977 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Bachacou, H. INSPIRE-00210989 ORCID:0000-0002-2256-4515 DAPNIA, Saclay Bachas, K. INSPIRE-00210990 ORCID:0000-0002-9047-6517 ROR:https://ror.org/01ggx4157 CERN Bachy, G. INSPIRE-00229239 ROR:https://ror.org/01ggx4157 CERN Backes, M. INSPIRE-00211007 ORCID:0000-0003-2409-9829 ROR:https://ror.org/01swzsf04 Geneva U. Badescu, E. INSPIRE-00211019 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Bagnaia, P. INSPIRE-00063838 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Bai, Y. INSPIRE-00211020 ORCID:0000-0002-3540-4668 ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Bailey, D.C. INSPIRE-00063874 ORCID:0000-0002-7970-7839 ROR:https://ror.org/03dbr7087 Toronto U. Bain, T. INSPIRE-00211032 ROR:https://ror.org/03dbr7087 Toronto U. Baines, J.T. INSPIRE-00063905 ORCID:0000-0003-0770-2702 ROR:https://ror.org/03gq8fr08 Rutherford Baker, O.K. INSPIRE-00063962 ROR:https://ror.org/03v76x132 Yale U. Baker, M.D. INSPIRE-00256251 ROR:https://ror.org/02ex6cf31 Brookhaven Baker, S INSPIRE-00211044 ROR:https://ror.org/02jx3x895 University Coll. London Baltasar Dos Santos Pedrosa, F. INSPIRE-00211056 ROR:https://ror.org/01ggx4157 CERN Banas, E. INSPIRE-00211068 ROR:https://ror.org/01n78t774 Cracow, INP Banerjee, P. INSPIRE-00211070 ROR:https://ror.org/0161xgx34 Montreal U. Banerjee, S. INSPIRE-00064260 ORCID:0000-0001-8852-2409 ROR:https://ror.org/04s5mat29 Victoria U. Banfi, D. INSPIRE-00211081 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Bangert, A. INSPIRE-00211093 ROR:https://ror.org/03s65by71 UC, Santa Cruz Bansal, V. INSPIRE-00198533 ORCID:0000-0002-4485-3086 ROR:https://ror.org/04s5mat29 Victoria U. Baranov, S.P. INSPIRE-00211100 ROR:https://ror.org/01jkd3546 Lebedev Inst. Baranov, S. ROR:https://ror.org/044yd9t77 Dubna, JINR Barashkou, A. INSPIRE-00211119 ROR:https://ror.org/044yd9t77 Dubna, JINR Barber, T. INSPIRE-00211125 ROR:https://ror.org/013meh722 Cambridge U. Barberio, E.L. ORCID:0000-0002-3111-0910 ROR:https://ror.org/01ej9dk98 Melbourne U. Barberis, D. INSPIRE-00064378 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Barbero, M. INSPIRE-00211139 ROR:https://ror.org/041nas322 Bonn U. Bardin, D.Y. INSPIRE-00211146 ROR:https://ror.org/044yd9t77 Dubna, JINR Barillari, T. INSPIRE-00064533 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Barisonzi, M. INSPIRE-00211159 ROR:https://ror.org/00613ak93 Wuppertal U. Barklow, T. INSPIRE-00064576 ROR:https://ror.org/05gzmn429 SLAC Barlow, N. INSPIRE-00042309 ROR:https://ror.org/013meh722 Cambridge U. Barnett, B.M. INSPIRE-00211160 ORCID:0000-0002-5361-2823 ROR:https://ror.org/03gq8fr08 Rutherford Barnett, R.M. INSPIRE-00064676 ORCID:0000-0002-7210-9887 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Baroncelli, A. INSPIRE-00064709 ROR:https://ror.org/05eva6s33 INFN, Rome Barone, M. INSPIRE-00064716 ROR:https://ror.org/049jf1a25 Frascati Barr, A.J. INSPIRE-00064725 ORCID:0000-0002-3533-3740 ROR:https://ror.org/052gg0110 Oxford U. Barreiro, F. INSPIRE-00064758 ORCID:0000-0002-3021-0258 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Barreiro Guimaraes da Costa, J. INSPIRE-00087323 ORCID:0000-0003-2387-0386 ROR:https://ror.org/03vek6s52 Harvard U. Barrillon, P. INSPIRE-00211176 ROR:https://ror.org/03gc1p724 Orsay, LAL Bartoldus, R. INSPIRE-00064943 ROR:https://ror.org/05gzmn429 SLAC Bartsch, D. INSPIRE-00172146 ROR:https://ror.org/041nas322 Bonn U. Bates, R.L. INSPIRE-00065082 ORCID:0000-0002-6923-5372 ROR:https://ror.org/00vtgdb53 Glasgow U. Batkova, L. INSPIRE-00211180 ROR:https://ror.org/0587ef340 Comenius U. Batley, J.R. 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INSPIRE-00211256 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Beck, H.P. INSPIRE-00065459 ORCID:0000-0001-7212-1096 ROR:https://ror.org/02k7v4d05 Bern U. Beckingham, M. INSPIRE-00217716 ROR:https://ror.org/0245cg223 Freiburg U. Becks, K.H. INSPIRE-00065501 ROR:https://ror.org/00613ak93 Wuppertal U. Beddall, A.J. INSPIRE-00065527 ORCID:0000-0002-8451-9672 Gaziantep U. Beddall, A. Gaziantep U. Bednyakov, V.A. INSPIRE-00065561 ORCID:0000-0003-4864-8909 ROR:https://ror.org/044yd9t77 Dubna, JINR Bee, C. INSPIRE-00065575 ORCID:0000-0001-6294-6561 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Begel, M. INSPIRE-00065614 ORCID:0000-0002-1634-4399 ROR:https://ror.org/02ex6cf31 Brookhaven Behar Harpaz, S. INSPIRE-00211270 ROR:https://ror.org/03qryx823 Technion Behera, P.K. INSPIRE-00058425 ORCID:0000-0002-1527-2266 ROR:https://ror.org/04rswrd78 Iowa State U. Beimforde, M. INSPIRE-00211281 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Belanger, G.A.N. ORCID:0000-0003-4810-1268 ROR:https://ror.org/02qtvee93 Carleton U. Belanger-Champagne, C. INSPIRE-00037478 ROR:https://ror.org/048a87296 Uppsala U. Belhorma, B. INSPIRE-00305603 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Bell, P.J. INSPIRE-00211293 ROR:https://ror.org/01swzsf04 Geneva U. Bell, W.H. INSPIRE-00065761 ORCID:0000-0002-0138-8639 ROR:https://ror.org/01swzsf04 Geneva U. Bella, G. INSPIRE-00211305 ORCID:0000-0002-4009-0990 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Bellagamba, L. INSPIRE-00065777 ROR:https://ror.org/04j0x0h93 INFN, Bologna Bellina, F. INSPIRE-00211317 ROR:https://ror.org/01ggx4157 CERN Bellomo, G. INSPIRE-00229260 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Bellomo, M. INSPIRE-00211329 ROR:https://ror.org/01st30669 INFN, Pavia Belloni, A. INSPIRE-00041418 ORCID:0000-0002-1727-656X ROR:https://ror.org/03vek6s52 Harvard U. Belotskiy, K. INSPIRE-00211335 ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. Beltramello, O. INSPIRE-00211347 ROR:https://ror.org/01ggx4157 CERN Belymam, A. ROR:https://ror.org/026zzn846 Queen Mary, U. of London Ben Ami, S. INSPIRE-00211359 ROR:https://ror.org/03qryx823 Technion Benary, O. INSPIRE-00211360 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Benchekroun, D. INSPIRE-00211372 ORCID:0000-0001-5196-8327 Hassan U., II, Ain Chock Benchouk, C. INSPIRE-00229271 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Bendel, M. INSPIRE-00211384 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Benedict, B.H. INSPIRE-00211396 ROR:https://ror.org/04gyf1771 UC, Irvine Benekos, N. INSPIRE-00066029 ORCID:0000-0001-7831-8762 ROR:https://ror.org/047426m28 Illinois U., Urbana Benhammou, Y. INSPIRE-00211400 ORCID:0000-0002-0392-1783 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Benincasa, G.P. ROR:https://ror.org/01hys1667 LIP, Lisbon Benjamin, D.P. INSPIRE-00066086 ROR:https://ror.org/00py81415 Duke U. Benoit, M. INSPIRE-00211411 ROR:https://ror.org/03gc1p724 Orsay, LAL Bensinger, J.R. INSPIRE-00066127 ROR:https://ror.org/05abbep66 Brandeis U. Benslama, K. INSPIRE-00195284 ROR:https://ror.org/03dzc0485 Regina U. Bentvelsen, S. INSPIRE-00066169 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Beretta, M. INSPIRE-00211424 ROR:https://ror.org/049jf1a25 Frascati Berge, D. INSPIRE-00326772 ORCID:0000-0002-2918-1824 ROR:https://ror.org/01ggx4157 CERN Bergeaas Kuutmann, E. INSPIRE-00305615 ORCID:0000-0002-1253-8583 ROR:https://ror.org/01js2sh04 DESY Berger, N. INSPIRE-00066350 ORCID:0000-0002-7963-9725 ROR:https://ror.org/049nhh297 Annecy, LAPP Berghaus, F. INSPIRE-00036960 ROR:https://ror.org/04s5mat29 Victoria U. Berglund, E. INSPIRE-00211436 ROR:https://ror.org/01swzsf04 Geneva U. Beringer, J. INSPIRE-00066414 ORCID:0000-0002-9975-1781 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Bernardet, K. INSPIRE-00229287 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Bernat, P. INSPIRE-00211448 ROR:https://ror.org/03gc1p724 Orsay, LAL Bernhard, R. INSPIRE-00053972 ROR:https://ror.org/0245cg223 Freiburg U. Bernius, C. INSPIRE-00211450 ORCID:0000-0003-3433-1687 ROR:https://ror.org/02jx3x895 University Coll. London Berry, T. INSPIRE-00041406 ORCID:0000-0002-9569-8231 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Bertin, A. INSPIRE-00178062 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Bertinelli, F. INSPIRE-00229318 ROR:https://ror.org/01ggx4157 CERN Bertolucci, S. INSPIRE-00066648 ROR:https://ror.org/049jf1a25 Frascati Besana, M.I. INSPIRE-00211473 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Besson, N. INSPIRE-00211485 ORCID:0000-0001-9248-6252 DAPNIA, Saclay Bethke, S. INSPIRE-00179262 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Bianchi, R.M. INSPIRE-00211497 ORCID:0000-0001-7345-7798 ROR:https://ror.org/0245cg223 Freiburg U. Bianco, M. INSPIRE-00211509 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Biebel, O. INSPIRE-00066953 ORCID:0000-0002-8663-6856 ROR:https://ror.org/05591te55 Munich U. Bieri, M. ROR:https://ror.org/0213rcc28 Simon Fraser U. Biesiada, J. INSPIRE-00041944 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Biglietti, M. INSPIRE-00211510 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Bilokon, H. INSPIRE-00211527 ROR:https://ror.org/049jf1a25 Frascati Binder, M. INSPIRE-00050859 ROR:https://ror.org/05591te55 Munich U. Bindi, M. INSPIRE-00172094 ORCID:0000-0001-6172-545X ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Binet, S. INSPIRE-00286241 ORCID:0000-0003-4913-6104 ROR:https://ror.org/03gc1p724 Orsay, LAL Bingul, A. INSPIRE-00211539 ORCID:0000-0002-2455-8039 Gaziantep U. Bini, C. 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INSPIRE-00324763 ORCID:0000-0003-3807-7831 ROR:https://ror.org/05f0yaq80 Stockholm U. Bohm, J. INSPIRE-00067876 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Boisvert, V. INSPIRE-00067915 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Bold, T. INSPIRE-00172488 ROR:https://ror.org/04gyf1771 ROR:https://ror.org/00bas1c41 UC, Irvine AGH-UST, Cracow Boldea, V. INSPIRE-00305639 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Bondarenko, V.G. INSPIRE-00321004 ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. Bondioli, M. INSPIRE-00042987 ROR:https://ror.org/04gyf1771 UC, Irvine Bonino, R. ROR:https://ror.org/01swzsf04 Geneva U. Boonekamp, M. INSPIRE-00211647 DAPNIA, Saclay Boorman, G. INSPIRE-00068136 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Boosten, M. ROR:https://ror.org/01ggx4157 CERN Booth, C.N. INSPIRE-00068157 ROR:https://ror.org/05krs5044 Sheffield U. Booth, P.S.L. ROR:https://ror.org/04xs57h96 Liverpool U. Booth, P. 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INSPIRE-00229391 ROR:https://ror.org/03gq8fr08 Rutherford Bouchami, J. INSPIRE-00211672 ROR:https://ror.org/0161xgx34 Montreal U. Boudreau, J. INSPIRE-00068562 ROR:https://ror.org/01an3r305 Pittsburgh U. Bouhova-Thacker, E.V. INSPIRE-00211684 ORCID:0000-0002-5103-1558 ROR:https://ror.org/04f2nsd36 Lancaster U. Boulahouache, C. INSPIRE-00068584 ROR:https://ror.org/01an3r305 Pittsburgh U. Bourdarios, C. INSPIRE-00068610 ROR:https://ror.org/03gc1p724 Orsay, LAL Boveia, A. INSPIRE-00041392 ROR:https://ror.org/024mw5h28 Chicago U., EFI Boyd, J. INSPIRE-00226553 ROR:https://ror.org/01ggx4157 CERN Boyko, I.R. INSPIRE-00211696 ROR:https://ror.org/044yd9t77 Dubna, JINR Bozhko, N.I. INSPIRE-00229401 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Bozovic-Jelisavcic, I. INSPIRE-00068826 ROR:https://ror.org/02qsmb048 VINCA Inst. Nucl. Sci., Belgrade Braccini, S. INSPIRE-00068860 ROR:https://ror.org/049jf1a25 Frascati Bracinik, J. INSPIRE-00068874 ROR:https://ror.org/03angcq70 Birmingham U. Braem, A. INSPIRE-00211702 ROR:https://ror.org/01ggx4157 CERN Brambilla, E. INSPIRE-00229416 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Branchini, P. INSPIRE-00211714 ROR:https://ror.org/05eva6s33 INFN, Rome Brandenburg, G.W. INSPIRE-00068976 ROR:https://ror.org/03vek6s52 Harvard U. Brandt, A. INSPIRE-00300274 ORCID:0000-0002-6290-4940 ROR:https://ror.org/019kgqr73 Texas U., Arlington Brandt, G. INSPIRE-00032742 ROR:https://ror.org/01js2sh04 DESY Brandt, O. INSPIRE-00184109 ORCID:0000-0001-5219-1417 ROR:https://ror.org/01y9bpm73 Gottingen U., II. Phys. Inst. Bratzler, U. INSPIRE-00211726 ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Brau, B. INSPIRE-00069043 ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Brau, J.E. INSPIRE-00069055 ROR:https://ror.org/0293rh119 Oregon U. Braun, H.M. INSPIRE-00069076 ROR:https://ror.org/00613ak93 Wuppertal U. Bravo, S. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Brelier, B. INSPIRE-00040480 ROR:https://ror.org/03dbr7087 Toronto U. Bremer, J. INSPIRE-00211738 ROR:https://ror.org/01ggx4157 CERN Brenner, R. INSPIRE-00211740 ROR:https://ror.org/048a87296 Uppsala U. Bressler, S. INSPIRE-00211751 ROR:https://ror.org/03qryx823 Technion Breton, D. INSPIRE-00229422 ROR:https://ror.org/03gc1p724 Orsay, LAL Brett, N.D. INSPIRE-00229437 ROR:https://ror.org/052gg0110 Oxford U. Bright-Thomas, P.G. ROR:https://ror.org/03angcq70 Birmingham U. Britton, D. INSPIRE-00069310 ORCID:0000-0001-9998-4342 ROR:https://ror.org/00vtgdb53 Glasgow U. Brochu, F.M. INSPIRE-00211763 ROR:https://ror.org/013meh722 Cambridge U. Brock, I. INSPIRE-00069330 ORCID:0000-0003-0903-8948 ROR:https://ror.org/041nas322 Bonn U. Brock, R. INSPIRE-00069341 ORCID:0000-0002-4556-9212 ROR:https://ror.org/05hs6h993 Michigan State U. Brodbeck, T.J. INSPIRE-00229452 ROR:https://ror.org/04f2nsd36 Lancaster U. Brodet, E. INSPIRE-00203325 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Broggi, F. INSPIRE-00229469 ROR:https://ror.org/04w4m6z96 INFN, Milan Bromberg, C. INSPIRE-00069431 ORCID:0000-0003-1745-2495 ROR:https://ror.org/05hs6h993 Michigan State U. Brooijmans, G. INSPIRE-00069444 ORCID:0000-0002-3354-1810 ROR:https://ror.org/00hj8s172 Columbia U. Brooks, W.K. INSPIRE-00069460 ROR:https://ror.org/05510vn56 Santa Maria U., Valparaiso Brown, G. INSPIRE-00226564 ROR:https://ror.org/027m9bs27 Manchester U. Brubaker, E. INSPIRE-00052938 ROR:https://ror.org/024mw5h28 Chicago U., EFI Bruckman de Renstrom, P.A. INSPIRE-00180299 ROR:https://ror.org/01n78t774 Cracow, INP Bruncko, D. INSPIRE-00179454 Kosice, IEF Bruneliere, R. INSPIRE-00240391 ROR:https://ror.org/0245cg223 Freiburg U. Brunet, S. INSPIRE-00042182 ROR:https://ror.org/01js2sh04 DESY Bruni, A. INSPIRE-00069652 ORCID:0000-0003-4806-0718 ROR:https://ror.org/04j0x0h93 INFN, Bologna Bruni, G. INSPIRE-00172026 ORCID:0000-0001-5667-7748 ROR:https://ror.org/04j0x0h93 INFN, Bologna Bruschi, M. INSPIRE-00211789 ORCID:0000-0002-4319-4023 ROR:https://ror.org/04j0x0h93 INFN, Bologna Buanes, T. INSPIRE-00229479 ORCID:0000-0002-8977-121X ROR:https://ror.org/03zga2b32 Bergen U. Bucci, F. INSPIRE-00042001 ORCID:0000-0003-1726-3838 ROR:https://ror.org/01swzsf04 Geneva U. Buchanan, J. INSPIRE-00211795 ROR:https://ror.org/052gg0110 Oxford U. Buchanan, N.J. INSPIRE-00069762 ROR:https://ror.org/0160cpw27 Alberta U. Buchholz, P. INSPIRE-00069835 ORCID:0000-0002-4049-0134 ROR:https://ror.org/02azyry73 Siegen U. Buckley, A.G. INSPIRE-00211807 ORCID:0000-0001-8355-9237 ROR:https://ror.org/01nrxwf90 Edinburgh U. Budagov, I.A. INSPIRE-00211819 ORCID:0000-0002-3711-148X ROR:https://ror.org/044yd9t77 Dubna, JINR Budick, B. INSPIRE-00158773 ROR:https://ror.org/0190ak572 New York U. Buscher, V. INSPIRE-00070225 ORCID:0000-0001-9196-0629 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Bugge, L. INSPIRE-00211820 ROR:https://ror.org/01xtthb56 Oslo U. Buira-Clark, D. INSPIRE-00229480 ROR:https://ror.org/052gg0110 Oxford U. Buis, E.J. INSPIRE-00069931 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Bujor, F. ROR:https://ror.org/01ggx4157 CERN Bulekov, O. INSPIRE-00211832 ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. Bunse, M. INSPIRE-00211844 Dortmund U. Buran, T. INSPIRE-00211856 ROR:https://ror.org/01xtthb56 Oslo U. Burckhart, H. INSPIRE-00211868 ROR:https://ror.org/01ggx4157 CERN Burdin, S. INSPIRE-00022855 ORCID:0000-0003-4831-4132 ROR:https://ror.org/04xs57h96 Liverpool U. Burgess, T. INSPIRE-00326560 ROR:https://ror.org/03zga2b32 Bergen U. Burke, S. INSPIRE-00211870 ORCID:0000-0002-1962-8493 ROR:https://ror.org/03gq8fr08 Rutherford Busato, E. INSPIRE-00051595 ORCID:0000-0003-2174-8512 Clermont-Ferrand U. Bussey, P. INSPIRE-00070265 ORCID:0000-0003-0988-7878 ROR:https://ror.org/00vtgdb53 Glasgow U. Buszello, C.P. INSPIRE-00044211 ROR:https://ror.org/048a87296 Uppsala U. Butin, F. 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INSPIRE-00211911 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Cakir, O. INSPIRE-00211923 ORCID:0000-0002-9016-138X ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Calafiura, P. INSPIRE-00070566 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Calderini, G. INSPIRE-00070597 Paris U., VI-VII Calfayan, P. INSPIRE-00032964 ORCID:0000-0003-1600-464X ROR:https://ror.org/05591te55 Munich U. Calkins, R. INSPIRE-00211935 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Caloba, L.P. INSPIRE-00211947 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Caloi, R. INSPIRE-00229528 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Calvet, D. INSPIRE-00070696 ORCID:0000-0002-9953-5333 Clermont-Ferrand U. Calvet, S. INSPIRE-00019519 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Camard, A. INSPIRE-00229538 Paris U., VI-VII Camarri, P. 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INSPIRE-00211984 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Capeans Garrido, M.D.M. INSPIRE-00083814 ORCID:0000-0001-7727-9175 ROR:https://ror.org/01ggx4157 CERN Caprini, I. INSPIRE-00070986 ORCID:0000-0003-3343-3200 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Caprini, M. INSPIRE-00211990 ORCID:0000-0002-6806-6730 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Caprio, M. INSPIRE-00229560 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Capua, M. INSPIRE-00053925 ROR:https://ror.org/02rc97e94 INFN, Cosenza Calabria U. Caputo, R. INSPIRE-00212010 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Caramarcu, C. INSPIRE-00212025 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Cardarelli, R. INSPIRE-00212037 ROR:https://ror.org/05eva6s33 INFN, Rome Cardiel Sas, L. ROR:https://ror.org/01ggx4157 CERN Carli, T. INSPIRE-00212045 ROR:https://ror.org/01ggx4157 CERN Carlino, G. INSPIRE-00212057 ROR:https://ror.org/015kcdd40 INFN, Naples Carminati, L. INSPIRE-00212069 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Caron, B. INSPIRE-00071238 ROR:https://ror.org/0160cpw27 ROR:https://ror.org/03kgj4539 Alberta U. TRIUMF Caron, S. INSPIRE-00057327 ORCID:0000-0003-2941-2829 ROR:https://ror.org/0245cg223 Freiburg U. Carpentieri, C. INSPIRE-00229579 ROR:https://ror.org/0245cg223 Freiburg U. Carrillo Montoya, G.D. INSPIRE-00212072 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Carron Montero, S. INSPIRE-00005513 ORCID:0000-0003-0788-1608 ROR:https://ror.org/03dbr7087 Toronto U. Carter, A.A. INSPIRE-00071319 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Carter, J.R. INSPIRE-00149979 ROR:https://ror.org/013meh722 Cambridge U. Carvalho, J. INSPIRE-00226606 ORCID:0000-0002-3015-7821 ROR:https://ror.org/01hys1667 LIP, Lisbon Casadei, D. INSPIRE-00212084 ORCID:0000-0002-3343-3529 ROR:https://ror.org/0190ak572 New York U. Casado, M.P. INSPIRE-00071410 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Cascella, M. INSPIRE-00002651 ORCID:0000-0003-2091-2501 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Caso, C. INSPIRE-00229580 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Castaneda Hernandez, A.M. INSPIRE-00212096 ORCID:0000-0003-4766-1546 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Castaneda-Miranda, E. INSPIRE-00212108 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Castillo Gimenez, V. INSPIRE-00212120 ORCID:0000-0002-8245-1790 ROR:https://ror.org/017xch102 Valencia U., IFIC Castro, N.F. INSPIRE-00036257 ORCID:0000-0001-8491-4376 ROR:https://ror.org/04njjy449 Granada U. Cataldi, G. INSPIRE-00255325 ORCID:0000-0001-8066-7718 ROR:https://ror.org/00qrf6g60 INFN, Lecce Cataneo, F. INSPIRE-00229593 ROR:https://ror.org/01ggx4157 CERN Catinaccio, A. INSPIRE-00212343 ORCID:0000-0001-8774-8887 ROR:https://ror.org/01ggx4157 CERN Catmore, J.R. INSPIRE-00212355 ROR:https://ror.org/04f2nsd36 Lancaster U. Cattai, A. INSPIRE-00320450 ROR:https://ror.org/01ggx4157 CERN Cattani, G. INSPIRE-00212369 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Caughron, S. INSPIRE-00301352 ROR:https://ror.org/00hj8s172 Columbia U. Cauz, D. INSPIRE-00071702 ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. Cavallari, A. INSPIRE-00229600 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Cavalleri, P. INSPIRE-00212370 Paris U., VI-VII Cavalli, D. INSPIRE-00212386 ROR:https://ror.org/04w4m6z96 INFN, Milan Cavalli-Sforza, M. INSPIRE-00071735 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Cavasinni, V. INSPIRE-00212398 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Cazzato, A. INSPIRE-00229619 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Ceradini, F. 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INSPIRE-00240300 ROR:https://ror.org/0160cpw27 Alberta U. Chapman, J.D. INSPIRE-00029402 ORCID:0000-0002-2926-8962 ROR:https://ror.org/013meh722 Cambridge U. Chapman, J.W. INSPIRE-00072255 ROR:https://ror.org/00jmfr291 Michigan U. Chareyre, E. INSPIRE-00011910 Paris U., VI-VII Charlton, D.G. INSPIRE-00072301 ORCID:0000-0003-0211-2041 ROR:https://ror.org/03angcq70 Birmingham U. Charron, S. ROR:https://ror.org/0161xgx34 Montreal U. Chatterjii, S. ROR:https://ror.org/041nas322 Bonn U. Chavda, V. INSPIRE-00212436 ROR:https://ror.org/027m9bs27 Manchester U. Cheatham, S. INSPIRE-00212448 ROR:https://ror.org/04f2nsd36 Lancaster U. Chekanov, S. INSPIRE-00072460 ORCID:0000-0001-7314-7247 ROR:https://ror.org/05gvnxz63 Argonne Chekulaev, S.V. INSPIRE-00212450 ROR:https://ror.org/03kgj4539 TRIUMF Chelkov, G.A. INSPIRE-00212473 ORCID:0000-0002-3468-9761 ROR:https://ror.org/044yd9t77 Dubna, JINR Chen, H. INSPIRE-00304146 ROR:https://ror.org/02ex6cf31 Brookhaven Chen, L. 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INSPIRE-00212595 ORCID:0000-0001-8121-5860 ROR:https://ror.org/0245cg223 Freiburg U. Chromek-Burckhart, D. INSPIRE-00305640 ORCID:0000-0003-4243-3288 ROR:https://ror.org/01ggx4157 CERN Chu, M.L. INSPIRE-00226630 ROR:https://ror.org/01tpvdq80 Taiwan, Inst. Phys. Chudoba, J. INSPIRE-00150160 ORCID:0000-0002-6425-2579 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Ciapetti, G. INSPIRE-00212602 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Cicalini, E. ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Ciftci, A.K. INSPIRE-00212614 Clermont-Ferrand U. Ciftci, R. INSPIRE-00212625 Clermont-Ferrand U. Cinca, D. INSPIRE-00212637 ORCID:0000-0003-0944-8998 Clermont-Ferrand U. Cindro, V. INSPIRE-00073566 ORCID:0000-0002-2037-7185 ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Ciobotaru, M.D. INSPIRE-00305686 ROR:https://ror.org/04gyf1771 UC, Irvine Ciocca, C. INSPIRE-00034559 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Ciocio, A. INSPIRE-00073579 ORCID:0000-0002-3081-4879 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Cirilli, M. INSPIRE-00212649 ROR:https://ror.org/00jmfr291 Michigan U. Citterio, M. INSPIRE-00339611 ROR:https://ror.org/04w4m6z96 INFN, Milan Clark, A. INSPIRE-00073664 ROR:https://ror.org/01swzsf04 Geneva U. Clark, P.J. INSPIRE-00144539 ORCID:0000-0002-3777-0880 ROR:https://ror.org/01nrxwf90 Edinburgh U. Cleland, W. INSPIRE-00171510 ROR:https://ror.org/01an3r305 Pittsburgh U. Clemens, J.C. INSPIRE-00073750 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Clement, B. INSPIRE-00046902 ORCID:0000-0002-0079-6104 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Clement, C. INSPIRE-00147062 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Clements, D. ROR:https://ror.org/00vtgdb53 Glasgow U. Clifft, R.W. INSPIRE-00229705 ROR:https://ror.org/03gq8fr08 Rutherford Coadou, Y. INSPIRE-00054627 ORCID:0000-0001-8195-7004 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Cobal, M. INSPIRE-00073873 ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. Coccaro, A. INSPIRE-00212651 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Cochran, J. INSPIRE-00145182 ORCID:0000-0002-1492-914X ROR:https://ror.org/04rswrd78 Iowa State U. Coe, P. INSPIRE-00229715 ROR:https://ror.org/052gg0110 Oxford U. Coelli, S. ROR:https://ror.org/04w4m6z96 INFN, Milan Coggeshall, J. INSPIRE-00212663 ROR:https://ror.org/047426m28 Illinois U., Urbana Cogneras, E. INSPIRE-00305695 ORCID:0000-0002-8933-9427 ROR:https://ror.org/02avf8f85 Lyon, IPN Cojocaru, C.D. INSPIRE-00229734 ROR:https://ror.org/02qtvee93 Carleton U. Colas, J. INSPIRE-00229740 ROR:https://ror.org/049nhh297 Annecy, LAPP Cole, B. INSPIRE-00049517 ORCID:0000-0002-5092-2148 ROR:https://ror.org/00hj8s172 Columbia U. Colijn, A.P. INSPIRE-00212675 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Collard, C. INSPIRE-00029754 ORCID:0000-0002-5230-8387 ROR:https://ror.org/03gc1p724 Orsay, LAL Collins, N.J. INSPIRE-00212687 ROR:https://ror.org/03angcq70 Birmingham U. Collins-Tooth, C. INSPIRE-00027821 ROR:https://ror.org/00vtgdb53 Glasgow U. Collot, J. INSPIRE-00074106 ORCID:0000-0002-9412-7090 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Colon, G. INSPIRE-00212699 ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Coluccia, R. INSPIRE-00005223 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Comune, G. INSPIRE-00229751 ROR:https://ror.org/05hs6h993 Michigan State U. Conde Muino, P. INSPIRE-00212700 ROR:https://ror.org/01hys1667 LIP, Lisbon Coniavitis, E. INSPIRE-00004566 ORCID:0000-0002-2148-8012 ROR:https://ror.org/048a87296 Uppsala U. Conidi, M.C. INSPIRE-00212712 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Consonni, M. INSPIRE-00305709 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Constantinescu, S. INSPIRE-00212724 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Conta, C. INSPIRE-00212736 ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. Conventi, F. INSPIRE-00212748 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Cook, J. INSPIRE-00209343 ROR:https://ror.org/01ggx4157 CERN Cooke, M. INSPIRE-00183948 ROR:https://ror.org/00hj8s172 Columbia U. Cooper, B.D. INSPIRE-00041328 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Cooper-Sarkar, A.M. INSPIRE-00074346 ORCID:0000-0002-7107-5902 ROR:https://ror.org/052gg0110 Oxford U. Cooper-Smith, N.J. INSPIRE-00212754 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Copic, K. INSPIRE-00045750 ROR:https://ror.org/00hj8s172 Columbia U. Cornelissen, T. INSPIRE-00212766 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Corradi, M. INSPIRE-00001854 ROR:https://ror.org/04j0x0h93 INFN, Bologna Correard, S. INSPIRE-00229760 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Corriveau, F. INSPIRE-00074601 ORCID:0000-0002-4970-7600 ROR:https://ror.org/01pxwe438 ROR:https://ror.org/014er3x17 McGill U. IPP, Canada Corso-Radu, A. INSPIRE-00305712 ORCID:0000-0001-6253-7581 ROR:https://ror.org/04gyf1771 UC, Irvine Cortes-Gonzalez, A. INSPIRE-00212778 ORCID:0000-0002-3279-3370 ROR:https://ror.org/047426m28 Illinois U., Urbana Cortiana, G. INSPIRE-00041311 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Costa, G. INSPIRE-00212780 ROR:https://ror.org/04w4m6z96 INFN, Milan Costa, M.J. INSPIRE-00212791 ORCID:0000-0002-2064-2954 ROR:https://ror.org/017xch102 Valencia U., IFIC Costanzo, D. INSPIRE-00212803 ORCID:0000-0003-4920-6264 ROR:https://ror.org/05krs5044 Sheffield U. Costin, T. INSPIRE-00212815 ROR:https://ror.org/024mw5h28 Chicago U., EFI Cote, D. INSPIRE-00027694 ROR:https://ror.org/01js2sh04 DESY Coura Torres, R. INSPIRE-00212827 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Courneyea, L. INSPIRE-00212839 ROR:https://ror.org/04s5mat29 Victoria U. Couyoumtzelis, C. ROR:https://ror.org/01swzsf04 Geneva U. Cowan, G. INSPIRE-00145177 ORCID:0000-0001-8363-9827 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Cowden, C. INSPIRE-00212847 ROR:https://ror.org/013meh722 Cambridge U. Cox, B.E. INSPIRE-00074854 ROR:https://ror.org/027m9bs27 Manchester U. Cranmer, K. INSPIRE-00074922 ORCID:0000-0002-5769-7094 ROR:https://ror.org/0190ak572 New York U. Cranshaw, J. INSPIRE-00212857 ORCID:0000-0003-2736-5408 ROR:https://ror.org/05gvnxz63 Argonne Cristinziani, M. INSPIRE-00058643 ORCID:0000-0003-3893-9171 ROR:https://ror.org/041nas322 Bonn U. Crosetti, G. INSPIRE-00212870 ROR:https://ror.org/02rc97e94 INFN, Cosenza Calabria U. Crupi, R. INSPIRE-00212936 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Crepe-Renaudin, S. INSPIRE-00074993 ORCID:0000-0001-5980-5805 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Cuenca Almenar, C. INSPIRE-00041308 ROR:https://ror.org/03v76x132 Yale U. Cuhadar Donszelmann, T. INSPIRE-00043040 ORCID:0000-0003-3519-1356 ROR:https://ror.org/05krs5044 Sheffield U. Cuneo, S. INSPIRE-00229775 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Curatolo, M. INSPIRE-00212948 ORCID:0000-0003-0978-4879 ROR:https://ror.org/049jf1a25 Frascati Curtis, C.J. INSPIRE-00212950 ROR:https://ror.org/03angcq70 Birmingham U. Cwetanski, P. INSPIRE-00056607 ROR:https://ror.org/02k40bc56 Indiana U. Czyczula, Z. INSPIRE-00212961 ROR:https://ror.org/03v76x132 Yale U. D'Auria, S. INSPIRE-00212973 ROR:https://ror.org/00vtgdb53 Glasgow U. D'Onofrio, M. INSPIRE-00041292 ROR:https://ror.org/04xs57h96 Liverpool U. D'Orazio, A. INSPIRE-00041919 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Da Rocha Gesualdi Mello, A. INSPIRE-00229795 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Da Silva, P.V.M. INSPIRE-00229804 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Da Via, C INSPIRE-00212924 ORCID:0000-0001-6154-7323 ROR:https://ror.org/027m9bs27 Manchester U. Dabrowski, W. INSPIRE-00178895 ORCID:0000-0001-9061-9568 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow Dahlhoff, A. INSPIRE-00229819 ROR:https://ror.org/0245cg223 Freiburg U. Dai, T. INSPIRE-00212987 ORCID:0000-0002-9607-5124 ROR:https://ror.org/00jmfr291 Michigan U. Dallapiccola, C. INSPIRE-00075606 ORCID:0000-0002-1391-2477 ROR:https://ror.org/0072zz521 Massachusetts U., Amherst Dallison, S.J. INSPIRE-00233331 ROR:https://ror.org/03gq8fr08 Rutherford Dalmau, J. ROR:https://ror.org/026zzn846 Queen Mary, U. of London Daly, C.H. INSPIRE-00212999 ROR:https://ror.org/00cvxb145 Washington U., Seattle Dam, M. INSPIRE-00075612 ROR:https://ror.org/035b05819 Bohr Inst. Dameri, M. INSPIRE-00075640 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Danielsson, H.O. INSPIRE-00305727 ORCID:0000-0002-1016-5576 ROR:https://ror.org/01ggx4157 CERN Dankers, R. INSPIRE-00229822 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Dannheim, D. INSPIRE-00226647 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Dao, V. INSPIRE-00213005 ORCID:0000-0003-1645-8393 ROR:https://ror.org/01swzsf04 Geneva U. Darbo, G. INSPIRE-00213017 ROR:https://ror.org/02v89pq06 INFN, Genoa Darlea, G.L. INSPIRE-00213029 Bucharest, Polytechnic Inst. Daum, C. INSPIRE-00229830 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Dauvergne, J.P. INSPIRE-00229849 ROR:https://ror.org/01ggx4157 CERN Davey, W. INSPIRE-00213030 ORCID:0000-0002-8140-8619 ROR:https://ror.org/01ej9dk98 Melbourne U. Davidek, T. INSPIRE-00075913 ROR:https://ror.org/024d6js02 Charles U. Davidson, D.W. ROR:https://ror.org/00vtgdb53 Glasgow U. Davidson, N. INSPIRE-00213042 ROR:https://ror.org/01ej9dk98 Melbourne U. Davidson, R. INSPIRE-00213054 ROR:https://ror.org/04f2nsd36 Lancaster U. Davies, M. INSPIRE-00213066 ROR:https://ror.org/0161xgx34 Montreal U. Davison, A.R. INSPIRE-00213078 ROR:https://ror.org/02jx3x895 University Coll. London Dawson, I. INSPIRE-00213091 ROR:https://ror.org/05krs5044 Sheffield U. Dawson, J.W. INSPIRE-00076095 ROR:https://ror.org/05gvnxz63 Argonne Daya, R.K. INSPIRE-00213108 ROR:https://ror.org/042tdr378 Southern Methodist U. De, K. INSPIRE-00300320 ORCID:0000-0002-5647-4489 ROR:https://ror.org/019kgqr73 Texas U., Arlington de Asmundis, R. INSPIRE-00213110 ROR:https://ror.org/015kcdd40 INFN, Naples De Castro, S. INSPIRE-00213121 ORCID:0000-0003-2178-5620 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. De Castro Faria Salgado, P.E. INSPIRE-00213133 ROR:https://ror.org/02ex6cf31 Brookhaven De Cecco, S. INSPIRE-00041280 ORCID:0000-0003-4907-8610 Paris U., VI-VII de Graat, J. INSPIRE-00213145 ROR:https://ror.org/05591te55 Munich U. De Groot, N. INSPIRE-00213157 ORCID:0000-0001-6850-4078 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam de Jong, P. INSPIRE-00093889 ORCID:0000-0002-5330-2614 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam De La Cruz-Burelo, E. INSPIRE-00039100 ROR:https://ror.org/00jmfr291 Michigan U. De La Taille, C. INSPIRE-00130254 ROR:https://ror.org/03gc1p724 Orsay, LAL De Lotto, B. INSPIRE-00102726 ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. De Mora, L. INSPIRE-00213169 ROR:https://ror.org/04f2nsd36 Lancaster U. De Oliveira Branco, M. INSPIRE-00229872 ROR:https://ror.org/01ggx4157 CERN De Pedis, D. INSPIRE-00213170 ROR:https://ror.org/05eva6s33 INFN, Rome de Saintignon, P. INSPIRE-00233349 ROR:https://ror.org/03f0apy98 LPSC, Grenoble De Salvo, A. INSPIRE-00213182 ROR:https://ror.org/05eva6s33 INFN, Rome De Sanctis, U. INSPIRE-00213194 ORCID:0000-0003-4704-525X ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. De Santo, A. INSPIRE-00076214 ROR:https://ror.org/00ayhx656 Sussex U. De Vivie De Regie, J.B. INSPIRE-00213200 ROR:https://ror.org/03gc1p724 Orsay, LAL De Zorzi, G. ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Dean, S. INSPIRE-00213212 ROR:https://ror.org/02jx3x895 University Coll. London Dedes, G. INSPIRE-00233350 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Dedovich, D.V. INSPIRE-00213224 ROR:https://ror.org/044yd9t77 Dubna, JINR Defay, P.O. INSPIRE-00305734 Clermont-Ferrand U. Degenhardt, J. INSPIRE-00039096 ROR:https://ror.org/00b30xv10 Pennsylvania U. Dehchar, M. INSPIRE-00213236 ROR:https://ror.org/052gg0110 Oxford U. Deile, M. INSPIRE-00076391 ROR:https://ror.org/05591te55 Munich U. Del Papa, C. INSPIRE-00114403 ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. Del Peso, J. INSPIRE-00173501 ORCID:0000-0001-7090-4134 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Del Prete, T. INSPIRE-00186417 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Dell'Acqua, A. INSPIRE-00213248 ORCID:0000-0003-2453-7745 ROR:https://ror.org/01ggx4157 CERN Dell'Asta, L. INSPIRE-00213250 ORCID:0000-0002-9601-4225 ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Della Pietra, M. INSPIRE-00213261 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. della Volpe, D. INSPIRE-00134280 ORCID:0000-0001-8530-7447 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Delmastro, M. INSPIRE-00213273 ROR:https://ror.org/01ggx4157 CERN Delpierre, P. INSPIRE-00076579 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Delruelle, N. INSPIRE-00229880 ROR:https://ror.org/01ggx4157 CERN Delsart, P.A. INSPIRE-00213285 ORCID:0000-0002-9556-2924 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Deluca, C. INSPIRE-00018879 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Demers, S. INSPIRE-00177331 ROR:https://ror.org/03v76x132 Yale U. Demichev, M. INSPIRE-00213297 ROR:https://ror.org/044yd9t77 Dubna, JINR Demirkoz, B. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Deng, J. INSPIRE-00624635 ROR:https://ror.org/04gyf1771 UC, Irvine Deng, W. INSPIRE-00213303 ROR:https://ror.org/02ex6cf31 Brookhaven Denisov, S.P. INSPIRE-00076710 ORCID:0000-0002-4028-7881 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Dennis, C. INSPIRE-00229899 ROR:https://ror.org/052gg0110 Oxford U. Derkaoui, J.E. INSPIRE-00213315 ROR:https://ror.org/01ejxf797 Oujda U. Derue, F. INSPIRE-00051568 Paris U., VI-VII Dervan, P. INSPIRE-00076798 ORCID:0000-0003-3929-8046 ROR:https://ror.org/04xs57h96 Liverpool U. Desch, K. INSPIRE-00076819 ROR:https://ror.org/041nas322 Bonn U. Deviveiros, P.O. INSPIRE-00326955 ORCID:0000-0002-8906-5884 ROR:https://ror.org/03dbr7087 Toronto U. Dewhurst, A. INSPIRE-00213327 ROR:https://ror.org/03gq8fr08 Rutherford DeWilde, B. INSPIRE-00213339 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Dhaliwal, S. INSPIRE-00213340 ROR:https://ror.org/03dbr7087 Toronto U. Dhullipudi, R. INSPIRE-00213352 ROR:https://ror.org/02ex6cf31 ROR:https://ror.org/04q9esz89 Brookhaven Louisiana Tech. U. Di Ciaccio, A. INSPIRE-00213364 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Di Ciaccio, L. INSPIRE-00213376 ORCID:0000-0003-0751-8083 ROR:https://ror.org/049nhh297 Annecy, LAPP Di Domenico, A. INSPIRE-00332317 ORCID:0000-0001-8078-2759 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Di Girolamo, A. INSPIRE-00213388 ORCID:0000-0002-9508-4256 ROR:https://ror.org/01ggx4157 CERN Di Girolamo, B. INSPIRE-00085048 ROR:https://ror.org/01ggx4157 CERN Di Luise, S. INSPIRE-00213406 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Di Mattia, A. INSPIRE-00213418 ROR:https://ror.org/05hs6h993 Michigan State U. Di Nardo, R. INSPIRE-00213420 ORCID:0000-0003-1111-3783 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Di Simone, A. INSPIRE-00213431 ORCID:0000-0003-0201-3377 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Di Sipio, R. INSPIRE-00213443 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Diaz, M.A. INSPIRE-00077083 ORCID:0000-0003-1258-8684 ROR:https://ror.org/04teye511 Chile U., Catolica Diaz Gomez, M.M. INSPIRE-00233368 ROR:https://ror.org/01swzsf04 Geneva U. Diblen, F. INSPIRE-00213455 Gaziantep U. Diehl, E.B. INSPIRE-00213467 ROR:https://ror.org/00jmfr291 Michigan U. Dietl, H. INSPIRE-00229914 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Dietrich, J. INSPIRE-00213479 ORCID:0000-0001-7061-1585 ROR:https://ror.org/0245cg223 Freiburg U. Dietzsch, T.A. INSPIRE-00213480 ROR:https://ror.org/038t36y30 Heidelberg U. Diglio, S. INSPIRE-00213492 ROR:https://ror.org/03gc1p724 Orsay, LAL Dindar Yagci, K. INSPIRE-00183952 ROR:https://ror.org/042tdr378 Southern Methodist U. Dingfelder, J. INSPIRE-00049343 ROR:https://ror.org/0245cg223 Freiburg U. Dionisi, C. INSPIRE-00077251 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Dita, P. INSPIRE-00213503 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Dita, S. INSPIRE-00306991 ROR:https://ror.org/00d3pnh21 Bucharest, IFIN-HH Dittus, F. INSPIRE-00077326 ORCID:0000-0002-1760-8237 ROR:https://ror.org/01ggx4157 CERN Djama, F. INSPIRE-00077370 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Djilkibaev, R. INSPIRE-00213515 ROR:https://ror.org/0190ak572 New York U. Djobava, T. INSPIRE-00213527 ORCID:0000-0002-9414-8350 Tbilisi, Inst. Phys. do Vale, M.A.B. INSPIRE-00213539 ROR:https://ror.org/03490as77 Rio de Janeiro Federal U. Do Valle Wemans, A. INSPIRE-00213542 ROR:https://ror.org/01hys1667 LIP, Lisbon Doan, T.K.O. INSPIRE-00213554 ROR:https://ror.org/049nhh297 Annecy, LAPP Dobbs, M. INSPIRE-00059792 ROR:https://ror.org/01pxwe438 McGill U. Dobinson, R. INSPIRE-00229921 ROR:https://ror.org/01ggx4157 CERN Dobos, D. INSPIRE-00016406 ROR:https://ror.org/01ggx4157 CERN Dobson, E. INSPIRE-00213566 ROR:https://ror.org/01ggx4157 CERN Dobson, M. INSPIRE-00305748 ROR:https://ror.org/04gyf1771 UC, Irvine Dodd, J. INSPIRE-00077500 ROR:https://ror.org/00hj8s172 Columbia U. Dogan, O.B. ROR:https://ror.org/03z9tma90 Bogazici U. Doglioni, C. INSPIRE-00213578 ORCID:0000-0002-1509-0390 ROR:https://ror.org/052gg0110 Oxford U. Doherty, T. INSPIRE-00213608 ROR:https://ror.org/00vtgdb53 Glasgow U. Doi, Y. INSPIRE-00229944 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba Dolejsi, J. INSPIRE-00077599 ROR:https://ror.org/024d6js02 Charles U. Dolenc, I. INSPIRE-00213610 ORCID:0000-0001-7971-5727 ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Dolezal, Z. INSPIRE-00077602 ROR:https://ror.org/024d6js02 Charles U. Dolgoshein, B.A. INSPIRE-00173566 ROR:https://ror.org/04w8z7f34 Moscow Phys. Eng. Inst. Dohmae, T. INSPIRE-00332323 ROR:https://ror.org/009gyvm78 ICTP, Trieste Domingo, E. ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Donega, M. INSPIRE-00213635 ROR:https://ror.org/00b30xv10 Pennsylvania U. Donini, J. INSPIRE-00041261 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Dopke, J. INSPIRE-00213647 ORCID:0000-0002-0683-9910 ROR:https://ror.org/00613ak93 Wuppertal U. Doria, A. INSPIRE-00077860 ROR:https://ror.org/015kcdd40 INFN, Naples Dos Anjos, A. INSPIRE-00213659 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Dosil, M. INSPIRE-00229953 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Dotti, A. INSPIRE-00305750 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Dova, M.T. INSPIRE-00077959 ORCID:0000-0001-6113-0878 ROR:https://ror.org/0081fs513 Buenos Aires, CONICET Dowell, J.D. INSPIRE-00229962 ROR:https://ror.org/03angcq70 Birmingham U. Doxiadis, A. INSPIRE-00213660 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Doyle, A.T. INSPIRE-00078002 ORCID:0000-0001-6322-6195 ROR:https://ror.org/00vtgdb53 Glasgow U. Drasal, Z. INSPIRE-00002370 ROR:https://ror.org/024d6js02 Charles U. Drees, J. INSPIRE-00078118 ROR:https://ror.org/00613ak93 Wuppertal U. Dressnandt, N. INSPIRE-00229970 ROR:https://ror.org/00b30xv10 Pennsylvania U. Drevermann, H. INSPIRE-00229989 ROR:https://ror.org/01ggx4157 CERN Driouichi, C. INSPIRE-00229992 ROR:https://ror.org/035b05819 Bohr Inst. Dris, M. INSPIRE-00213672 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Drohan, J.G. INSPIRE-00230004 ROR:https://ror.org/02jx3x895 University Coll. London Dubbert, J. INSPIRE-00213689 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Dubbs, T. INSPIRE-00230013 ROR:https://ror.org/03s65by71 UC, Santa Cruz Dube, S. INSPIRE-00006352 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Duchovni, E. INSPIRE-00152081 ROR:https://ror.org/0316ej306 Weizmann Inst. Duckeck, G. INSPIRE-00213690 ROR:https://ror.org/05591te55 Munich U. Dudarev, A. INSPIRE-00213702 ROR:https://ror.org/01ggx4157 CERN Dudziak, F. INSPIRE-00213714 ROR:https://ror.org/03gc1p724 Orsay, LAL Duhrssen, M. INSPIRE-00213726 ORCID:0000-0002-5833-7058 ROR:https://ror.org/01ggx4157 CERN Dur, H. ROR:https://ror.org/054pv6659 Innsbruck U. Duerdoth, I.P. INSPIRE-00078344 ROR:https://ror.org/027m9bs27 Manchester U. Duflot, L. INSPIRE-00078379 ORCID:0000-0002-4871-2176 ROR:https://ror.org/03gc1p724 Orsay, LAL Dufour, M-A. INSPIRE-00213738 ROR:https://ror.org/01pxwe438 McGill U. Dunford, M. INSPIRE-00029703 ORCID:0000-0002-7667-260X ROR:https://ror.org/024mw5h28 Chicago U., EFI Duran Yildiz, H. INSPIRE-00213740 ORCID:0000-0003-3469-6045 ROR:https://ror.org/01wntqw50 Ankara U. Dushkin, A. ROR:https://ror.org/05abbep66 Brandeis U. Duxfield, R. INSPIRE-00213751 ROR:https://ror.org/05krs5044 Sheffield U. Dwuznik, M. INSPIRE-00213763 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow Dydak, F. INSPIRE-00078758 ROR:https://ror.org/01ggx4157 CERN Dzahini, D. INSPIRE-00230020 ROR:https://ror.org/03f0apy98 LPSC, Grenoble Duren, M. INSPIRE-00078621 ORCID:0000-0002-6066-4744 ROR:https://ror.org/033eqas34 Giessen U. Ebenstein, W.L. INSPIRE-00305763 ROR:https://ror.org/00py81415 Duke U. Ebke, J. INSPIRE-00213775 ROR:https://ror.org/05591te55 Munich U. Eckert, S. INSPIRE-00230037 ROR:https://ror.org/0245cg223 Freiburg U. Eckweiler, S. INSPIRE-00213781 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Edmonds, K. INSPIRE-00213793 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Edwards, C.A. INSPIRE-00213805 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Efthymiopoulos, I. INSPIRE-00079072 ROR:https://ror.org/01swzsf04 Geneva U. Egorov, K. INSPIRE-00213819 ROR:https://ror.org/02k40bc56 Indiana U. Ehrenfeld, W. INSPIRE-00054636 ROR:https://ror.org/01js2sh04 DESY Ehrich, T. INSPIRE-00213820 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Eifert, T. INSPIRE-00305775 ROR:https://ror.org/01ggx4157 CERN Eigen, G. INSPIRE-00079187 ORCID:0000-0003-3529-5171 ROR:https://ror.org/03zga2b32 Bergen U. Einsweiler, K. INSPIRE-00213832 ORCID:0000-0002-4391-9100 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Eisenhandler, E. INSPIRE-00079226 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Ekelof, T. INSPIRE-00079263 ORCID:0000-0002-7341-9115 ROR:https://ror.org/048a87296 Uppsala U. El Kacimi, M. INSPIRE-00213844 ROR:https://ror.org/049nhh297 Annecy, LAPP Ellert, M. INSPIRE-00079322 ORCID:0000-0001-5265-3175 ROR:https://ror.org/048a87296 Uppsala U. Elles, S. INSPIRE-00213856 ROR:https://ror.org/049nhh297 Annecy, LAPP Ellinghaus, F. INSPIRE-00241510 ORCID:0000-0003-3596-5331 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Ellis, K. INSPIRE-00213868 ROR:https://ror.org/026zzn846 Queen Mary, U. of London Ellis, N. INSPIRE-00079357 ORCID:0000-0002-1920-4930 ROR:https://ror.org/01ggx4157 CERN Elmsheuser, J. INSPIRE-00039089 ORCID:0000-0001-8899-051X ROR:https://ror.org/05591te55 Munich U. Elsing, M. INSPIRE-00213874 ORCID:0000-0002-1213-0545 ROR:https://ror.org/01ggx4157 CERN Ely, R. INSPIRE-00230043 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Emeliyanov, D. INSPIRE-00213886 ORCID:0000-0002-1363-9175 ROR:https://ror.org/03gq8fr08 Rutherford Engelmann, R. INSPIRE-00079588 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Engl, A. INSPIRE-00213898 ROR:https://ror.org/05591te55 Munich U. Epp, B. INSPIRE-00213900 ROR:https://ror.org/054pv6659 Innsbruck U. Eppig, A. INSPIRE-00166716 ROR:https://ror.org/00jmfr291 Michigan U. Erdmann, J. INSPIRE-00213911 ORCID:0000-0002-8073-2740 ROR:https://ror.org/01y9bpm73 Gottingen U., II. Phys. Inst. Ereditato, A. INSPIRE-00079760 ORCID:0000-0002-5423-8079 ROR:https://ror.org/02k7v4d05 Bern U. Eremin, V. ROR:https://ror.org/010pmpe69 Moscow State U. Eriksson, D. INSPIRE-00213923 ROR:https://ror.org/05f0yaq80 Stockholm U. Ermoline, I. INSPIRE-00213935 ROR:https://ror.org/05hs6h993 Michigan State U. Ernst, J. INSPIRE-00079869 ROR:https://ror.org/012zs8222 SUNY, Albany Ernst, M. INSPIRE-00213947 ROR:https://ror.org/02ex6cf31 Brookhaven Ernwein, J. INSPIRE-00213959 DAPNIA, Saclay Errede, D. INSPIRE-00079877 ROR:https://ror.org/047426m28 Illinois U., Urbana Errede, S. INSPIRE-00079889 ROR:https://ror.org/047426m28 Illinois U., Urbana Ertel, E. INSPIRE-00213960 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Escalier, M. INSPIRE-00025013 ORCID:0000-0003-4270-2775 ROR:https://ror.org/03gc1p724 Orsay, LAL Escobar, C. INSPIRE-00213977 ORCID:0000-0003-4442-4537 ROR:https://ror.org/017xch102 Valencia U., IFIC Espinal Curull, X. INSPIRE-00213989 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Esposito, B. INSPIRE-00213990 ORCID:0000-0002-2027-8937 ROR:https://ror.org/049jf1a25 Frascati Etienne, F. INSPIRE-00230057 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Etienvre, A.I. INSPIRE-00240439 DAPNIA, Saclay Etzion, E. INSPIRE-00080055 ORCID:0000-0001-6871-7794 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Evans, H. INSPIRE-00080060 ORCID:0000-0003-2183-3127 ROR:https://ror.org/02k40bc56 Indiana U. Evdokimov, V.N. INSPIRE-00300342 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Fabbri, L. INSPIRE-00283861 ORCID:0000-0002-4002-8353 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Fabre, C. INSPIRE-00214002 ROR:https://ror.org/01ggx4157 CERN Facius, K. INSPIRE-00233374 ROR:https://ror.org/035b05819 Bohr Inst. Fakhrutdinov, R.M. INSPIRE-00214014 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Falciano, S. INSPIRE-00214026 ROR:https://ror.org/05eva6s33 INFN, Rome Falou, A.C. INSPIRE-00233387 ROR:https://ror.org/03gc1p724 Orsay, LAL Fang, Y. INSPIRE-00214038 ORCID:0000-0001-8630-6585 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Fanti, M. INSPIRE-00214040 ORCID:0000-0002-8773-145X ROR:https://ror.org/04w4m6z96 ROR:https://ror.org/00wjc7c48 INFN, Milan Milan U. Farbin, A. INSPIRE-00214051 ORCID:0000-0003-0000-2439 ROR:https://ror.org/019kgqr73 Texas U., Arlington Farilla, A. INSPIRE-00214063 ROR:https://ror.org/05eva6s33 INFN, Rome Farley, J. INSPIRE-00214070 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Farooque, T. INSPIRE-00013478 ROR:https://ror.org/03dbr7087 Toronto U. Farrington, S.M. INSPIRE-00060080 ORCID:0000-0001-5350-9271 ROR:https://ror.org/052gg0110 Oxford U. Farthouat, P. INSPIRE-00080462 ROR:https://ror.org/01ggx4157 CERN Fassnacht, P. INSPIRE-00080473 ORCID:0000-0002-1516-1195 ROR:https://ror.org/01ggx4157 CERN Fassouliotis, D. INSPIRE-00214081 ROR:https://ror.org/04gnjpq42 Athens U. Fatholahzadeh, B. INSPIRE-00214105 ROR:https://ror.org/03dbr7087 Toronto U. Fayard, L. INSPIRE-00143071 ORCID:0000-0002-2190-9091 ROR:https://ror.org/03gc1p724 Orsay, LAL Fayette, F. INSPIRE-00282222 ROR:https://ror.org/01y9bpm73 Gottingen U., II. Phys. Inst. Febbraro, R. INSPIRE-00305781 Clermont-Ferrand U. Federic, P. INSPIRE-00214117 ROR:https://ror.org/0587ef340 Comenius U. Fedin, O.L. INSPIRE-00305797 ROR:https://ror.org/037styt87 St. Petersburg, INP Fedorko, I. INSPIRE-00041236 ROR:https://ror.org/01ggx4157 CERN Fedorko, W. INSPIRE-00041224 ORCID:0000-0002-5138-3473 ROR:https://ror.org/01ggx4157 CERN Feligioni, L. INSPIRE-00039073 ORCID:0000-0002-1403-0951 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Felzmann, C.U. INSPIRE-00214130 ROR:https://ror.org/01ej9dk98 Melbourne U. Feng, C. INSPIRE-00214142 ORCID:0000-0001-9138-3200 ROR:https://ror.org/0207yh398 Shandong U. Feng, E.J. INSPIRE-00214154 ROR:https://ror.org/024mw5h28 Chicago U., EFI Fenyuk, A.B. INSPIRE-00214166 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Ferencei, J. INSPIRE-00185039 Kosice, IEF Ferland, J. INSPIRE-00035819 ROR:https://ror.org/0161xgx34 Montreal U. Fernandes, B. INSPIRE-00214172 ROR:https://ror.org/01hys1667 LIP, Lisbon Fernando, W. INSPIRE-00214184 ROR:https://ror.org/00rs6vg23 Ohio State U. Ferrag, S. INSPIRE-00214196 ROR:https://ror.org/00vtgdb53 Glasgow U. Ferrando, J. INSPIRE-00027519 ORCID:0000-0002-1007-7816 ROR:https://ror.org/052gg0110 Oxford U. Ferrara, V. INSPIRE-00214208 ROR:https://ror.org/01js2sh04 DESY Ferrari, A. INSPIRE-00300636 ORCID:0000-0003-2887-5311 ROR:https://ror.org/048a87296 Uppsala U. Ferrari, P. INSPIRE-00214210 ORCID:0000-0002-1387-153X ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Ferrari, R. INSPIRE-00214221 ROR:https://ror.org/01st30669 INFN, Pavia Ferrer, A. INSPIRE-00080972 ORCID:0000-0003-0532-711X ROR:https://ror.org/017xch102 Valencia U., IFIC Ferrer, M.L. INSPIRE-00227240 ROR:https://ror.org/049jf1a25 Frascati Ferrere, D. INSPIRE-00188574 ORCID:0000-0002-5687-9240 ROR:https://ror.org/01swzsf04 Geneva U. Ferretti, C. INSPIRE-00028525 ROR:https://ror.org/00jmfr291 Michigan U. Ferro, F. INSPIRE-00230096 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Fiascaris, M. INSPIRE-00214245 ROR:https://ror.org/052gg0110 Oxford U. Fiedler, F. INSPIRE-00081065 ORCID:0000-0002-4610-5612 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Filipcic, A. INSPIRE-00081160 ORCID:0000-0001-5671-1555 ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Filippas, A. INSPIRE-00214257 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Filthaut, F. INSPIRE-00081209 ORCID:0000-0003-3338-2247 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Fincke-Keeler, M. INSPIRE-00081234 ROR:https://ror.org/04s5mat29 Victoria U. Fiolhais, M.C.N. INSPIRE-00214269 ORCID:0000-0001-9035-0335 ROR:https://ror.org/01hys1667 LIP, Lisbon Fiorini, L. INSPIRE-00214275 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Firan, A. INSPIRE-00214287 ROR:https://ror.org/042tdr378 Southern Methodist U. Fischer, G. INSPIRE-00226650 ROR:https://ror.org/01js2sh04 DESY Fischer, P. INSPIRE-00230102 ROR:https://ror.org/041nas322 Bonn U. Fisher, M.J. INSPIRE-00214299 ROR:https://ror.org/00rs6vg23 Ohio State U. Fisher, S.M. INSPIRE-00230118 ROR:https://ror.org/03gq8fr08 Rutherford Flammer, J. INSPIRE-00230122 ROR:https://ror.org/01ggx4157 CERN Flechl, M. INSPIRE-00214300 ORCID:0000-0003-4750-3548 ROR:https://ror.org/0245cg223 Freiburg U. Fleck, I. INSPIRE-00081605 ORCID:0000-0003-1461-8648 ROR:https://ror.org/02azyry73 Siegen U. Fleckner, J. INSPIRE-00214312 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Fleischmann, P. INSPIRE-00214324 ORCID:0000-0001-6968-340X ROR:https://ror.org/00fbnyb24 Wurzburg U. Fleischmann, S. INSPIRE-00214336 ROR:https://ror.org/041nas322 Bonn U. Fleuret, F. ORCID:0000-0002-2430-782X Paris U., VI-VII Flick, T. INSPIRE-00214348 ROR:https://ror.org/00613ak93 Wuppertal U. Flores Castillo, L.R. INSPIRE-00041212 ORCID:0000-0003-1551-5974 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Flowerdew, M.J. INSPIRE-00214350 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Fohlisch, F. INSPIRE-00230130 ROR:https://ror.org/038t36y30 Heidelberg U. Fokitis, M. INSPIRE-00230149 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Fonseca Martin, T. INSPIRE-00227100 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Fopma, J. INSPIRE-00230153 ROR:https://ror.org/052gg0110 Oxford U. Forbush, D.A. INSPIRE-00230161 ROR:https://ror.org/00cvxb145 Washington U., Seattle Formica, A. INSPIRE-00081940 ORCID:0000-0001-8308-2643 DAPNIA, Saclay Forti, A. INSPIRE-00027700 ROR:https://ror.org/027m9bs27 Manchester U. Fortin, D. INSPIRE-00049752 ROR:https://ror.org/03kgj4539 TRIUMF Foster, J.M. INSPIRE-00082018 ROR:https://ror.org/027m9bs27 Manchester U. Fournier, D. INSPIRE-00144690 ROR:https://ror.org/03gc1p724 Orsay, LAL Foussat, A. INSPIRE-00230177 ROR:https://ror.org/01ggx4157 CERN Fowler, A.J. INSPIRE-00214368 ROR:https://ror.org/00py81415 Duke U. Fowler, K. INSPIRE-00214370 ROR:https://ror.org/03s65by71 UC, Santa Cruz Fox, H. INSPIRE-00082068 ORCID:0000-0003-3089-6090 ROR:https://ror.org/04f2nsd36 Lancaster U. Francavilla, P. INSPIRE-00305814 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Franchino, S. INSPIRE-00013179 ORCID:0000-0002-8159-8010 ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. Francis, D. INSPIRE-00214393 ROR:https://ror.org/01ggx4157 CERN Franklin, M. INSPIRE-00082230 ORCID:0000-0002-6595-883X ROR:https://ror.org/03vek6s52 Harvard U. Franz, S. INSPIRE-00214405 ROR:https://ror.org/01ggx4157 CERN Fraternali, M. INSPIRE-00214419 ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. Fratina, S. INSPIRE-00043648 ROR:https://ror.org/00b30xv10 Pennsylvania U. Freestone, J. INSPIRE-00214420 ROR:https://ror.org/027m9bs27 Manchester U. French, S.T. INSPIRE-00170697 ROR:https://ror.org/013meh722 Cambridge U. Froeschl, R. INSPIRE-00305826 ROR:https://ror.org/01ggx4157 CERN Froidevaux, D. INSPIRE-00082670 ROR:https://ror.org/01ggx4157 CERN Frost, J.A. INSPIRE-00171541 ROR:https://ror.org/013meh722 Cambridge U. Fukunaga, C. INSPIRE-00214432 ORCID:0000-0002-6377-4391 ROR:https://ror.org/00ws30h19 Tokyo Metropolitan U. Fullana Torregrosa, E. INSPIRE-00002800 ROR:https://ror.org/05gvnxz63 Argonne Fuster, J. INSPIRE-00214444 ROR:https://ror.org/017xch102 Valencia U., IFIC Gabaldon, C. INSPIRE-00214457 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Gabizon, O. INSPIRE-00214469 ROR:https://ror.org/0316ej306 Weizmann Inst. Gadfort, T. INSPIRE-00039050 ROR:https://ror.org/02ex6cf31 Brookhaven Gadomski, S. INSPIRE-00083092 ROR:https://ror.org/01swzsf04 Geneva U. Gagliardi, G. INSPIRE-00214470 ORCID:0000-0002-3550-4124 ROR:https://ror.org/02v89pq06 ROR:https://ror.org/0107c5v14 INFN, Genoa Genoa U. Gagnon, P. INSPIRE-00083104 ROR:https://ror.org/02k40bc56 Indiana U. Galea, C. INSPIRE-00039048 ORCID:0000-0002-3075-6605 ROR:https://ror.org/05591te55 Munich U. Gallas, E.J. INSPIRE-00083337 ORCID:0000-0002-1259-1034 ROR:https://ror.org/052gg0110 Oxford U. Gallas, M.V. INSPIRE-00230191 ROR:https://ror.org/01ggx4157 CERN Gallo, V. INSPIRE-00214482 ROR:https://ror.org/02k7v4d05 Bern U. Gallop, B.J. INSPIRE-00214494 ORCID:0000-0001-7401-5043 ROR:https://ror.org/03gq8fr08 Rutherford Gallus, P. INSPIRE-00015179 ORCID:0000-0002-5011-9849 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Galyaev, E. INSPIRE-00027260 ORCID:0000-0002-5559-7874 ROR:https://ror.org/049emcs32 Texas U., Dallas Gan, K.K. INSPIRE-00083439 ROR:https://ror.org/00rs6vg23 Ohio State U. Gao, Y.S. INSPIRE-00083520 ROR:https://ror.org/05gzmn429 ROR:https://ror.org/03enmdz06 SLAC Fresno State Gapienko, V.A. INSPIRE-00230204 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Gaponenko, A. INSPIRE-00214506 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Garcia-Sciveres, M. INSPIRE-00083629 ORCID:0000-0002-5800-4210 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Garcia, C. INSPIRE-00214518 ORCID:0000-0003-1625-7452 ROR:https://ror.org/017xch102 Valencia U., IFIC Garcia Navarro, J.E. INSPIRE-00022084 ORCID:0000-0002-0279-0523 ROR:https://ror.org/01swzsf04 Geneva U. Garde, V. Clermont-Ferrand U. Gardner, R.W. INSPIRE-00083694 ROR:https://ror.org/024mw5h28 Chicago U., EFI Garelli, N. INSPIRE-00214520 ORCID:0000-0003-0534-9634 ROR:https://ror.org/01ggx4157 CERN Garitaonandia, H. INSPIRE-00214531 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Garonne, V. INSPIRE-00214543 ROR:https://ror.org/01ggx4157 CERN Garvey, J. INSPIRE-00230214 ROR:https://ror.org/03angcq70 Birmingham U. Gatti, C. INSPIRE-00214550 ORCID:0000-0003-3676-1787 ROR:https://ror.org/049jf1a25 Frascati Gaudio, G. INSPIRE-00214561 ROR:https://ror.org/01st30669 INFN, Pavia Gaumer, O. INSPIRE-00230224 ROR:https://ror.org/01swzsf04 Geneva U. Gautard, V. INSPIRE-00214573 DAPNIA, Saclay Gauzzi, P. INSPIRE-00084018 ORCID:0000-0003-4841-5822 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Gavrilenko, I.L. INSPIRE-00214609 ROR:https://ror.org/01jkd3546 Lebedev Inst. Gay, C. INSPIRE-00214610 ROR:https://ror.org/03rmrcq20 British Columbia U. Gaycken, G. INSPIRE-00214622 ORCID:0000-0002-2941-9257 ROR:https://ror.org/041nas322 Bonn U. Gayde, J-C. INSPIRE-00204139 ROR:https://ror.org/01ggx4157 CERN Gazis, E.N. INSPIRE-00084094 ORCID:0000-0002-9272-4254 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens Ge, P. INSPIRE-00214634 ROR:https://ror.org/0207yh398 Shandong U. Gee, C.N.P. ORCID:0000-0002-8833-3154 ROR:https://ror.org/03gq8fr08 Rutherford Geich-Gimbel, Ch. INSPIRE-00214652 ROR:https://ror.org/041nas322 Bonn U. Gellerstedt, K. INSPIRE-00214664 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Gemme, C. INSPIRE-00214676 ROR:https://ror.org/02v89pq06 INFN, Genoa Genest, M.H. INSPIRE-00016112 ORCID:0000-0002-4098-2024 ROR:https://ror.org/05591te55 Munich U. Gentile, S. INSPIRE-00214688 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Georgatos, F. INSPIRE-00230244 ROR:https://ror.org/03cx6bg69 Natl. Tech. U., Athens George, S. INSPIRE-00084316 ORCID:0000-0003-3565-3290 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Gerlach, P. INSPIRE-00230257 ROR:https://ror.org/00613ak93 Wuppertal U. Gershon, A. INSPIRE-00214690 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Geweniger, C. INSPIRE-00230262 ROR:https://ror.org/038t36y30 Heidelberg U. Ghazlane, H. INSPIRE-00214713 ROR:https://ror.org/00r8w8f84 Mohammed V U., Agdal Ghez, P. INSPIRE-00084545 ROR:https://ror.org/049nhh297 Annecy, LAPP Ghodbane, N. INSPIRE-00052068 Clermont-Ferrand U. Giacobbe, B. INSPIRE-00214725 ROR:https://ror.org/04j0x0h93 INFN, Bologna Giagu, S. INSPIRE-00084627 ROR:https://ror.org/05eva6s33 ROR:https://ror.org/02be6w209 INFN, Rome Rome U. Giakoumopoulou, V. INSPIRE-00007684 ROR:https://ror.org/04gnjpq42 Athens U. Giangiobbe, V. INSPIRE-00161876 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Gianotti, F. INSPIRE-00084688 ORCID:0000-0001-7133-4954 ROR:https://ror.org/01ggx4157 CERN Gibbard, B. INSPIRE-00084714 ORCID:0000-0001-6746-9231 ROR:https://ror.org/02ex6cf31 Brookhaven Gibson, A. INSPIRE-00026250 ROR:https://ror.org/03dbr7087 Toronto U. Gibson, S.M. INSPIRE-00214737 ROR:https://ror.org/052gg0110 Oxford U. Gieraltowski, G.F. INSPIRE-00230270 ROR:https://ror.org/05gvnxz63 Argonne Gilbert, L.M. INSPIRE-00214749 ROR:https://ror.org/052gg0110 Oxford U. Gilchriese, M. INSPIRE-00084816 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Gildemeister, O. INSPIRE-00230282 ROR:https://ror.org/01ggx4157 CERN Gilewsky, V. INSPIRE-00230295 ROR:https://ror.org/021036w13 Minsk, High Energy Phys. Ctr. Gillman, A.R. INSPIRE-00230300 ROR:https://ror.org/03gq8fr08 Rutherford Gingrich, D.M. INSPIRE-00084876 ROR:https://ror.org/0160cpw27 ROR:https://ror.org/03kgj4539 Alberta U. TRIUMF Ginzburg, J. INSPIRE-00214755 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Giokaris, N. INSPIRE-00084938 ROR:https://ror.org/04gnjpq42 Athens U. Giordani, M.P. INSPIRE-00084948 ORCID:0000-0002-0792-6039 ROR:https://ror.org/04m8t3f14 INFN, Udine Udine U. Giordano, R. INSPIRE-00214767 ROR:https://ror.org/015kcdd40 INFN, Naples Naples U. Giorgi, F.M. INSPIRE-00214779 ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Giovannini, P. INSPIRE-00029089 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Giraud, P.F. INSPIRE-00214780 ORCID:0000-0002-8485-9351 ROR:https://ror.org/01ggx4157 CERN Girtler, P. INSPIRE-00214792 ROR:https://ror.org/054pv6659 Innsbruck U. Giugni, D. INSPIRE-00214804 ROR:https://ror.org/04w4m6z96 INFN, Milan Giusti, P. INSPIRE-00214810 ROR:https://ror.org/04j0x0h93 INFN, Bologna Gjelsten, B.K. INSPIRE-00214821 ROR:https://ror.org/01xtthb56 Oslo U. Gladilin, L.K. INSPIRE-00173602 ORCID:0000-0001-9422-8636 ROR:https://ror.org/010pmpe69 Moscow State U. Glasman, C. INSPIRE-00173488 ROR:https://ror.org/01cby8j38 Madrid, Autonoma U. Glazov, A. INSPIRE-00326794 ROR:https://ror.org/01js2sh04 DESY Glitza, K.W. INSPIRE-00214838 ROR:https://ror.org/00613ak93 Wuppertal U. Glonti, G.L. INSPIRE-00214840 ROR:https://ror.org/044yd9t77 Dubna, JINR Gnanvo, K.G. ROR:https://ror.org/026zzn846 Queen Mary, U. of London Godfrey, J. INSPIRE-00300526 ROR:https://ror.org/0213rcc28 Simon Fraser U. Godlewski, J. INSPIRE-00214851 ROR:https://ror.org/01ggx4157 CERN Goebel, M. INSPIRE-00214875 ROR:https://ror.org/01js2sh04 DESY Gopfert, T. INSPIRE-00214887 ROR:https://ror.org/042aqky30 Dresden, Tech. U. Goeringer, C. INSPIRE-00214899 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Gossling, C. INSPIRE-00189086 Dortmund U. Gottfert, T. INSPIRE-00214900 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Goggi, V. INSPIRE-00085362 ROR:https://ror.org/01st30669 ROR:https://ror.org/00s6t1f81 INFN, Pavia Pavia U. Goldfarb, S. INSPIRE-00085461 ROR:https://ror.org/00jmfr291 Michigan U. Goldin, D. ROR:https://ror.org/042tdr378 Southern Methodist U. Golling, T. INSPIRE-00085610 ORCID:0000-0001-8535-6687 ROR:https://ror.org/03v76x132 Yale U. Gollub, N.P. ROR:https://ror.org/01ggx4157 CERN Golovnia, S.N. INSPIRE-00233395 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Gomes, A. INSPIRE-00226662 ORCID:0000-0002-5940-9893 ROR:https://ror.org/01hys1667 LIP, Lisbon Gomez Fajardo, L.S. INSPIRE-00214966 ROR:https://ror.org/01js2sh04 DESY Goncalo, R. INSPIRE-00171282 ORCID:0000-0002-3826-3442 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Gonella, L. INSPIRE-00001730 ORCID:0000-0002-4919-0808 ROR:https://ror.org/041nas322 Bonn U. Gong, C. INSPIRE-00230327 ROR:https://ror.org/04c4dkn09 Hefei, CUST Gonidec, A. INSPIRE-00230331 ROR:https://ror.org/01ggx4157 CERN Gonzalez de la Hoz, S. INSPIRE-00214978 ORCID:0000-0001-5304-5390 ROR:https://ror.org/017xch102 Valencia U., IFIC Gonzalez Silva, M.L. INSPIRE-00214981 ROR:https://ror.org/0081fs513 Buenos Aires U. Gonzalez-Pineiro, B. INSPIRE-00332348 ROR:https://ror.org/05hs6h993 Michigan State U. Gonzalez-Sevilla, S. INSPIRE-00214993 ROR:https://ror.org/01swzsf04 Geneva U. Goodson, J.J. INSPIRE-00166625 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Goossens, L. INSPIRE-00215005 ORCID:0000-0002-2536-4498 ROR:https://ror.org/01ggx4157 CERN Gorbounov, P.A. INSPIRE-00085929 ROR:https://ror.org/03dbr7087 Toronto U. Gordon, H.A. INSPIRE-00085936 ORCID:0000-0003-4362-019X ROR:https://ror.org/02ex6cf31 Brookhaven Gorelov, I. INSPIRE-00048110 ROR:https://ror.org/05fs6jp91 New Mexico U. Gorfine, G. INSPIRE-00085954 ROR:https://ror.org/00613ak93 Wuppertal U. Gorini, B. INSPIRE-00215017 ORCID:0000-0003-4177-9666 ROR:https://ror.org/01ggx4157 CERN Gorini, E. INSPIRE-00085978 ORCID:0000-0002-7688-2797 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Gorisek, A. INSPIRE-00215023 ORCID:0000-0002-3903-3438 ROR:https://ror.org/05060sz93 Stefan Inst., Ljubljana Gornicki, E. INSPIRE-00215047 ROR:https://ror.org/01n78t774 Cracow, INP Gorokhov, S.A. INSPIRE-00230348 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Gorski, B.T. INSPIRE-00230353 ROR:https://ror.org/01ggx4157 CERN Goryachev, V.N. INSPIRE-00010927 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Gosdzik, B. INSPIRE-00215059 ROR:https://ror.org/01js2sh04 DESY Gosselink, M. INSPIRE-00215060 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Gostkin, M.I. INSPIRE-00215072 ORCID:0000-0002-4311-3756 ROR:https://ror.org/044yd9t77 Dubna, JINR Gouanere, M. INSPIRE-00230374 ROR:https://ror.org/049nhh297 Annecy, LAPP Gough Eschrich, I. INSPIRE-00059930 ROR:https://ror.org/04gyf1771 UC, Irvine Gouighri, M. INSPIRE-00215084 Hassan U., II, Ain Chock Goujdami, D. INSPIRE-00215096 Hassan U., II, Ain Chock Goulette, M.P. INSPIRE-00215108 ROR:https://ror.org/01swzsf04 Geneva U. Goussiou, A.G. INSPIRE-00086179 ORCID:0000-0001-6211-7122 ROR:https://ror.org/00cvxb145 Washington U., Seattle Goy, C. INSPIRE-00215110 ORCID:0000-0002-1297-8925 ROR:https://ror.org/049nhh297 Annecy, LAPP Grabowska-Bold, I. INSPIRE-00172493 ORCID:0000-0001-9159-1210 ROR:https://ror.org/04gyf1771 ROR:https://ror.org/00bas1c41 UC, Irvine AGH-UST, Cracow Grabski, V. INSPIRE-00086274 ROR:https://ror.org/00ad27c73 Yerevan Phys. Inst. Grafstrom, P. INSPIRE-00215126 ROR:https://ror.org/01ggx4157 CERN Grah, C. INSPIRE-00230387 ROR:https://ror.org/00613ak93 Wuppertal U. Grahn, K-J. INSPIRE-00305859 ROR:https://ror.org/026vcq606 Royal Inst. Tech., Stockholm Grancagnolo, F. INSPIRE-00086377 ROR:https://ror.org/00qrf6g60 INFN, Lecce Grancagnolo, S. INSPIRE-00041686 ORCID:0000-0001-8490-8304 ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Grassi, V. INSPIRE-00151182 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Gratchev, V. INSPIRE-00215138 ROR:https://ror.org/037styt87 St. Petersburg, INP Grau, N. INSPIRE-00241634 ROR:https://ror.org/00hj8s172 Columbia U. Gray, H.M. INSPIRE-00032771 ORCID:0000-0002-5293-4716 ROR:https://ror.org/00hj8s172 ROR:https://ror.org/05dxps055 Columbia U. Caltech Gray, J.A. INSPIRE-00215140 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Graziani, E. INSPIRE-00215151 ROR:https://ror.org/05eva6s33 INFN, Rome Green, B. INSPIRE-00215175 ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Greenfield, D. INSPIRE-00233406 ROR:https://ror.org/03gq8fr08 Rutherford Greenshaw, T. INSPIRE-00086641 ROR:https://ror.org/04xs57h96 Liverpool U. Greenwood, Z.D. INSPIRE-00086666 ORCID:0000-0001-5121-0938 ROR:https://ror.org/02ex6cf31 ROR:https://ror.org/04q9esz89 Brookhaven Louisiana Tech. U. Gregor, I.M. INSPIRE-00086670 ROR:https://ror.org/01js2sh04 DESY Grenier, P. INSPIRE-00050339 ROR:https://ror.org/05gzmn429 SLAC Grewal, A. INSPIRE-00332353 ROR:https://ror.org/052gg0110 Oxford U. Griesmayer, E. INSPIRE-00215187 ROR:https://ror.org/03k7r0z51 Fachhochsch., Wiener Neustadt Griffiths, J. INSPIRE-00036544 ROR:https://ror.org/00cvxb145 Washington U., Seattle Grigalashvili, N. INSPIRE-00305861 ROR:https://ror.org/044yd9t77 Dubna, JINR Grillo, A.A. INSPIRE-00086795 ROR:https://ror.org/03s65by71 UC, Santa Cruz Grimm, K. INSPIRE-00301388 ORCID:0000-0001-6587-7397 ROR:https://ror.org/05qghxh33 SUNY, Stony Brook Grinstein, S. INSPIRE-00086810 ORCID:0000-0002-6460-8694 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Gris, P.L.Y. INSPIRE-00086824 Clermont-Ferrand U. Grishkevich, Y.V. INSPIRE-00215199 ROR:https://ror.org/010pmpe69 Moscow State U. Groer, L.S. INSPIRE-00086876 ORCID:0000-0002-0500-0136 ROR:https://ror.org/03dbr7087 Toronto U. Grognuz, J. INSPIRE-00230391 ROR:https://ror.org/01ggx4157 CERN Groh, M. INSPIRE-00215200 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Groll, M. ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Gross, E. INSPIRE-00086983 ROR:https://ror.org/0316ej306 Weizmann Inst. Grosse-Knetter, J. INSPIRE-00087004 ORCID:0000-0003-3085-7067 ROR:https://ror.org/01y9bpm73 Gottingen U., II. Phys. Inst. Groth-Jensen, J. INSPIRE-00215212 ROR:https://ror.org/012a77v79 Lund U. Gruwe, M. INSPIRE-00230403 ROR:https://ror.org/01ggx4157 CERN Grybel, K. INSPIRE-00215220 ROR:https://ror.org/02azyry73 Siegen U. Guarino, V.J. INSPIRE-00001277 ROR:https://ror.org/05gvnxz63 Argonne Guicheney, C. INSPIRE-00215232 Clermont-Ferrand U. Guida, A. INSPIRE-00215244 ROR:https://ror.org/00qrf6g60 ROR:https://ror.org/03fc1k060 INFN, Lecce Salento U. Guillemin, T. INSPIRE-00180576 ROR:https://ror.org/049nhh297 Annecy, LAPP Guler, H. INSPIRE-00215256 ROR:https://ror.org/01pxwe438 ROR:https://ror.org/0161xgx34 McGill U. Montreal U. Gunther, J. INSPIRE-00215268 ORCID:0000-0003-3189-3959 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Guo, B. INSPIRE-00215270 ROR:https://ror.org/03dbr7087 Toronto U. Gupta, A. INSPIRE-00230420 ROR:https://ror.org/024mw5h28 Chicago U., EFI Gusakov, Y. INSPIRE-00215281 ROR:https://ror.org/044yd9t77 Dubna, JINR Gushchin, V.N. INSPIRE-00230438 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Gutierrez, A. INSPIRE-00227111 ROR:https://ror.org/0161xgx34 Montreal U. Gutierrez, P. INSPIRE-00087527 ORCID:0000-0003-2326-3877 ROR:https://ror.org/02aqsxs83 Oklahoma U. Guttman, N. INSPIRE-00327148 ROR:https://ror.org/04mhzgx49 Tel Aviv U. Gutzwiller, O. INSPIRE-00215293 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Guyot, C. INSPIRE-00087556 DAPNIA, Saclay Gwenlan, C. INSPIRE-00173806 ORCID:0000-0002-3518-0617 ROR:https://ror.org/052gg0110 Oxford U. Gwilliam, C.B. INSPIRE-00215301 ORCID:0000-0002-9401-5304 ROR:https://ror.org/04xs57h96 Liverpool U. Haas, A. INSPIRE-00053405 ORCID:0000-0002-4832-0455 ROR:https://ror.org/05gzmn429 SLAC Haas, S. INSPIRE-00087637 ROR:https://ror.org/01ggx4157 CERN Haber, C. INSPIRE-00087660 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Haboubi, G. INSPIRE-00332364 ROR:https://ror.org/01an3r305 Pittsburgh U. Hackenburg, R. INSPIRE-00087700 ROR:https://ror.org/02ex6cf31 Brookhaven Hadavand, H.K. INSPIRE-00042933 ORCID:0000-0001-5447-3346 ROR:https://ror.org/042tdr378 Southern Methodist U. Hadley, D.R. INSPIRE-00215313 ORCID:0000-0002-9260-368X ROR:https://ror.org/03angcq70 Birmingham U. Haeberli, C. INSPIRE-00305875 ROR:https://ror.org/02k7v4d05 Bern U. Haefner, P. INSPIRE-00039038 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Hartel, R. INSPIRE-00230447 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Hahn, F. INSPIRE-00204546 ROR:https://ror.org/01ggx4157 CERN Haider, S. INSPIRE-00230451 ROR:https://ror.org/01ggx4157 CERN Hajduk, Z. INSPIRE-00087995 ROR:https://ror.org/01n78t774 Cracow, INP Hakobyan, H. INSPIRE-00215325 ROR:https://ror.org/00ad27c73 Yerevan Phys. Inst. Hakobyan, R.H. ROR:https://ror.org/0160cpw27 Alberta U. Haller, J. INSPIRE-00056705 ORCID:0000-0001-9347-7657 ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00g30e956 DESY Hamburg U. Hallewell, G.D. INSPIRE-00088110 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Hamacher, K. INSPIRE-00088237 ROR:https://ror.org/00613ak93 Wuppertal U. Hamilton, A. INSPIRE-00088319 ROR:https://ror.org/01swzsf04 Geneva U. Hamilton, S. INSPIRE-00215337 ROR:https://ror.org/05wvpxv85 Tufts U. Han, H. INSPIRE-00230466 ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Han, L. INSPIRE-00037384 ORCID:0000-0002-6353-9711 ROR:https://ror.org/04c4dkn09 Hefei, CUST Hanagaki, K. INSPIRE-00215349 ROR:https://ror.org/035t8zc32 Osaka U. Hance, M. INSPIRE-00215350 ORCID:0000-0001-8392-0934 ROR:https://ror.org/00b30xv10 Pennsylvania U. Handel, C. INSPIRE-00215362 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Hanke, P. INSPIRE-00088446 ROR:https://ror.org/038t36y30 Heidelberg U. Hansen, C.J. INSPIRE-00332376 ROR:https://ror.org/048a87296 Uppsala U. Hansen, J.R. INSPIRE-00088496 ROR:https://ror.org/035b05819 Bohr Inst. Hansen, J.B. INSPIRE-00215374 ROR:https://ror.org/035b05819 Bohr Inst. Hansen, J.D. INSPIRE-00088500 ROR:https://ror.org/035b05819 Bohr Inst. Hansen, P.H. INSPIRE-00215386 ORCID:0000-0002-6764-4789 ROR:https://ror.org/035b05819 Bohr Inst. Hansl-Kozanecka, T. INSPIRE-00240845 ROR:https://ror.org/03s65by71 UC, Santa Cruz Hansson, P. INSPIRE-00215400 ROR:https://ror.org/05gzmn429 SLAC Hara, K. INSPIRE-00300064 ROR:https://ror.org/02956yf07 Tsukuba U. Hare, G.A. INSPIRE-00215412 ROR:https://ror.org/03s65by71 UC, Santa Cruz Harenberg, T. INSPIRE-00215424 ROR:https://ror.org/00613ak93 Wuppertal U. Harper, R. INSPIRE-00230497 ROR:https://ror.org/05krs5044 Sheffield U. Harrington, R.D. INSPIRE-00088743 ROR:https://ror.org/05qwgg493 Boston U. Harris, O.M. INSPIRE-00010298 ROR:https://ror.org/00cvxb145 Washington U., Seattle Harrison, K INSPIRE-00215436 ROR:https://ror.org/03angcq70 Birmingham U. Hart, J.C. INSPIRE-00230508 ROR:https://ror.org/03gq8fr08 Rutherford Hartert, J. INSPIRE-00215448 ROR:https://ror.org/0245cg223 Freiburg U. Hartjes, F. INSPIRE-00215450 ROR:https://ror.org/00f9tz983 NIKHEF, Amsterdam Haruyama, T. INSPIRE-00230511 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba Harvey, A. INSPIRE-00305883 ROR:https://ror.org/05fde5z47 Hampton U. Hasegawa, S. INSPIRE-00215461 ROR:https://ror.org/04chrp450 Nagoya U. Hasegawa, Y. INSPIRE-00089003 ORCID:0000-0003-2683-7389 ROR:https://ror.org/0244rem06 Shinshu U. Hashemi, K. INSPIRE-00332383 ROR:https://ror.org/05abbep66 Brandeis U. Hassani, S. INSPIRE-00215473 ORCID:0000-0002-2834-5110 DAPNIA, Saclay Hatch, M. INSPIRE-00230526 ROR:https://ror.org/01ggx4157 CERN Hauff, D. INSPIRE-00233410 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Haug, S. INSPIRE-00215485 ORCID:0000-0003-0442-3361 ROR:https://ror.org/02k7v4d05 Bern U. Hauschild, M. INSPIRE-00215497 ORCID:0000-0001-6283-5116 ROR:https://ror.org/01ggx4157 CERN Hauser, R. INSPIRE-00215503 ORCID:0000-0001-7682-8857 ROR:https://ror.org/05hs6h993 Michigan State U. Havranek, M. INSPIRE-00021242 ROR:https://ror.org/02yhj4v17 Prague, Inst. Phys. Hawes, B.M. INSPIRE-00230535 ROR:https://ror.org/052gg0110 Oxford U. Hawkes, C.M. INSPIRE-00089196 ROR:https://ror.org/03angcq70 Birmingham U. Hawkings, R.J. INSPIRE-00148070 ROR:https://ror.org/01ggx4157 CERN Hawkins, D. INSPIRE-00032480 ROR:https://ror.org/04gyf1771 UC, Irvine Hayakawa, T. INSPIRE-00215515 ROR:https://ror.org/03tgsfw79 Kobe U. Hayward, H.S. INSPIRE-00142771 ORCID:0000-0002-0972-3411 ROR:https://ror.org/04xs57h96 Liverpool U. Haywood, S.J. INSPIRE-00089254 ORCID:0000-0003-2074-013X ROR:https://ror.org/03gq8fr08 Rutherford Hazen, E. INSPIRE-00089263 ROR:https://ror.org/05qwgg493 Boston U. He, M. INSPIRE-00173080 ROR:https://ror.org/0207yh398 Shandong U. He, Y.P. ROR:https://ror.org/042tdr378 Southern Methodist U. Head, S.J. INSPIRE-00260677 ROR:https://ror.org/027m9bs27 Manchester U. Hedberg, V. INSPIRE-00215527 ROR:https://ror.org/012a77v79 Lund U. Heelan, L. INSPIRE-00215539 ROR:https://ror.org/02qtvee93 Carleton U. Heim, S. INSPIRE-00215540 ORCID:0000-0002-2639-6571 ROR:https://ror.org/05hs6h993 Michigan State U. Heinemann, B. INSPIRE-00089482 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Heinemann, F.E.W. ROR:https://ror.org/052gg0110 Oxford U. Heisterkamp, S. INSPIRE-00215552 ROR:https://ror.org/035b05819 Bohr Inst. Helary, L. INSPIRE-00215564 ROR:https://ror.org/049nhh297 Annecy, LAPP Heldmann, M. INSPIRE-00230548 ROR:https://ror.org/0245cg223 Freiburg U. Heller, M. INSPIRE-00215576 ORCID:0000-0003-1215-0148 ROR:https://ror.org/03gc1p724 Orsay, LAL Hellman, S. INSPIRE-00089640 ORCID:0000-0002-5415-1600 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Helsens, C. INSPIRE-00215588 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Hemperek, T. INSPIRE-00306406 ORCID:0000-0002-0833-7762 ROR:https://ror.org/041nas322 Bonn U. Henderson, R.C.W. INSPIRE-00037338 ROR:https://ror.org/04f2nsd36 Lancaster U. Hendriks, P.J. 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INSPIRE-00024496 ROR:https://ror.org/042tdr378 Southern Methodist U. Hoffmann, D. INSPIRE-00090608 ROR:https://ror.org/00fw8bp86 Marseille, CPPM Hohlfeld, M. INSPIRE-00039005 ROR:https://ror.org/023b0x485 Mainz U., Inst. Phys. Holder, M. INSPIRE-00230592 ROR:https://ror.org/02azyry73 Siegen U. Hollins, T.I. INSPIRE-00230601 ROR:https://ror.org/03angcq70 Birmingham U. Hollyman, G. ROR:https://ror.org/04g2vpn86 Royal Holloway, U. of London Holmes, A. INSPIRE-00230619 ROR:https://ror.org/052gg0110 Oxford U. Holmgren, S.O. INSPIRE-00233421 ROR:https://ror.org/05f0yaq80 Stockholm U. Holy, T. INSPIRE-00215758 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Holzbauer, J.L. INSPIRE-00215760 ROR:https://ror.org/05hs6h993 Michigan State U. Homer, R.J. INSPIRE-00230624 ROR:https://ror.org/03angcq70 Birmingham U. Homma, Y. INSPIRE-00215771 ROR:https://ror.org/03tgsfw79 Kobe U. Horazdovsky, T. INSPIRE-00215783 ROR:https://ror.org/03kqpb082 Prague, Tech. U. Hori, T. 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INSPIRE-00241926 ROR:https://ror.org/0112mx960 Tokyo Inst. Tech. Joffe, D. INSPIRE-00216237 ROR:https://ror.org/042tdr378 Southern Methodist U. Johansen, L.G. INSPIRE-00230750 ROR:https://ror.org/03zga2b32 Bergen U. Johansen, M. INSPIRE-00216249 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Johansson, K.E. INSPIRE-00216255 ROR:https://ror.org/05f0yaq80 Stockholm U. Johansson, P. INSPIRE-00305905 ORCID:0000-0001-5410-1315 ROR:https://ror.org/05krs5044 Sheffield U. Johnert, S INSPIRE-00216267 ROR:https://ror.org/01js2sh04 DESY Johns, K.A. INSPIRE-00093591 ROR:https://ror.org/03m2x1q45 Arizona U. Jon-And, K. INSPIRE-00180510 ROR:https://ror.org/05f0yaq80 ROR:https://ror.org/05f0yaq80 Stockholm U. Stockholm U., OKC Jones, G. INSPIRE-00216279 ROR:https://ror.org/027m9bs27 Manchester U. Jones, M. INSPIRE-00230761 ROR:https://ror.org/052gg0110 Oxford U. Jones, R.W.L. 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INSPIRE-00094166 ROR:https://ror.org/02k7v4d05 Bern U. Kaci, M. INSPIRE-00216328 ROR:https://ror.org/017xch102 Valencia U., IFIC Kaczmarska, A. INSPIRE-00216330 ORCID:0000-0002-8880-4120 ROR:https://ror.org/01n78t774 Cracow, INP Kado, M. INSPIRE-00216354 ROR:https://ror.org/03gc1p724 Orsay, LAL Kagan, H. INSPIRE-00144825 ROR:https://ror.org/00rs6vg23 Ohio State U. Kagan, M. INSPIRE-00008953 ORCID:0000-0002-3386-6869 ROR:https://ror.org/03vek6s52 Harvard U. Kaiser, S. INSPIRE-00216366 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Kajomovitz, E. INSPIRE-00216378 ORCID:0000-0002-8464-1790 ROR:https://ror.org/03qryx823 Technion Kalinin, S. INSPIRE-00320895 ROR:https://ror.org/00613ak93 Wuppertal U. Kalinovskaya, L.V. INSPIRE-00260692 ROR:https://ror.org/044yd9t77 Dubna, JINR Kalinowski, A. ROR:https://ror.org/03dzc0485 Regina U. Kama, S. INSPIRE-00216391 ORCID:0000-0003-4943-8612 ROR:https://ror.org/01js2sh04 DESY Kambara, H. ROR:https://ror.org/01swzsf04 Geneva U. Kanaya, N. 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INSPIRE-00173695 ROR:https://ror.org/01ggx4157 CERN Kollefrath, M. INSPIRE-00230975 ROR:https://ror.org/0245cg223 Freiburg U. Kolos, S. INSPIRE-00218283 ROR:https://ror.org/04gyf1771 ROR:https://ror.org/037styt87 UC, Irvine St. Petersburg, INP Kolya, S.D. INSPIRE-00218295 ROR:https://ror.org/027m9bs27 Manchester U. Komar, A.A. INSPIRE-00218307 ROR:https://ror.org/01jkd3546 Lebedev Inst. Komaragiri, J.R. INSPIRE-00300548 ORCID:0000-0002-9344-6655 ROR:https://ror.org/0213rcc28 Simon Fraser U. Kondo, T. INSPIRE-00097562 ROR:https://ror.org/01g5y5k24 KEK, Tsukuba Kono, T. INSPIRE-00218319 ORCID:0000-0003-1553-2950 ROR:https://ror.org/01js2sh04 ROR:https://ror.org/00g30e956 DESY Hamburg U. Kononov, A.I. INSPIRE-00230985 ROR:https://ror.org/0245cg223 Freiburg U. Konoplich, R. INSPIRE-00097654 ROR:https://ror.org/0190ak572 New York U. Konovalov, S.P. INSPIRE-00305974 ROR:https://ror.org/01jkd3546 Lebedev Inst. Konstantinidis, N. INSPIRE-00097667 ROR:https://ror.org/02jx3x895 University Coll. London Kootz, A. INSPIRE-00230990 ROR:https://ror.org/00613ak93 Wuppertal U. Koperny, S. INSPIRE-00218320 ORCID:0000-0002-2023-5945 ROR:https://ror.org/00bas1c41 AGH-UST, Cracow Kopikov, S.V. INSPIRE-00231000 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Korcyl, K. INSPIRE-00097773 ROR:https://ror.org/01n78t774 Cracow, INP Kordas, K. INSPIRE-00218332 ROR:https://ror.org/02j61yw88 Aristotle U., Thessaloniki Campus U. Koreshev, V. INSPIRE-00301251 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Korn, A. INSPIRE-00052183 ORCID:0000-0002-3962-2099 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Korolkov, I. INSPIRE-00097847 ROR:https://ror.org/01sdrjx85 Barcelona, IFAE Korolkova, E.V. INSPIRE-00218344 ROR:https://ror.org/05krs5044 Sheffield U. Korotkov, V.A. INSPIRE-00218356 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Korsmo, H. ROR:https://ror.org/012a77v79 Lund U. Kortner, O. 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INSPIRE-00226277 ROR:https://ror.org/03e5eem51 Novosibirsk, IYF Zdrazil, M. INSPIRE-00138143 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Zeitnitz, C. INSPIRE-00138192 ORCID:0000-0003-2280-8636 ROR:https://ror.org/00613ak93 Wuppertal U. Zeller, M. INSPIRE-00138210 ROR:https://ror.org/03v76x132 Yale U. Zema, P.F. INSPIRE-00233227 ROR:https://ror.org/01ggx4157 CERN Zemla, A. INSPIRE-00226288 ROR:https://ror.org/01n78t774 Cracow, INP Zendler, C. INSPIRE-00226292 ROR:https://ror.org/041nas322 Bonn U. Zenin, A.V. ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Zenin, O. INSPIRE-00226303 ORCID:0000-0002-5447-1989 ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Zenis, T. INSPIRE-00306374 ORCID:0000-0001-8265-6916 ROR:https://ror.org/0587ef340 Comenius U. Zenonos, Z. INSPIRE-00226313 ROR:https://ror.org/05symbg58 ROR:https://ror.org/03ad39j10 INFN, Pisa Pisa U. Zenz, S. INSPIRE-00015971 ORCID:0000-0002-9720-1794 ROR:https://ror.org/02jbv0t02 ROR:https://ror.org/01an7q238 LBL, Berkeley UC, Berkeley Zerwas, D. INSPIRE-00140536 ROR:https://ror.org/03gc1p724 Orsay, LAL Zevi della Porta, G. INSPIRE-00226325 ORCID:0000-0003-0495-6061 ROR:https://ror.org/03vek6s52 Harvard U. Zhan, Z. INSPIRE-00226337 ROR:https://ror.org/0207yh398 Shandong U. Zhang, H. ROR:https://ror.org/00fw8bp86 Marseille, CPPM Zhang, J. INSPIRE-00226349 ORCID:0000-0002-9907-838X ROR:https://ror.org/05gvnxz63 Argonne Zhang, Q. INSPIRE-00226350 ROR:https://ror.org/05gvnxz63 Argonne Zhang, X. INSPIRE-00226365 ORCID:0000-0003-4341-1603 ROR:https://ror.org/0207yh398 Shandong U. Zhao, L. INSPIRE-00226370 ROR:https://ror.org/0190ak572 New York U. Zhao, T. INSPIRE-00138355 ROR:https://ror.org/00cvxb145 Washington U., Seattle Zhao, Z. INSPIRE-00226382 ORCID:0000-0001-6758-3974 ROR:https://ror.org/04c4dkn09 Hefei, CUST Zhemchugov, A. INSPIRE-00226395 ORCID:0000-0002-3360-4965 ROR:https://ror.org/044yd9t77 Dubna, JINR Zheng, S. INSPIRE-00233241 ROR:https://ror.org/03v8tnc06 Beijing, Inst. High Energy Phys. Zhong, J. INSPIRE-00226402 ROR:https://ror.org/01tpvdq80 ROR:https://ror.org/01rxvg760 Taiwan, Inst. Phys. Nanjing U. Zhou, B. INSPIRE-00138410 ROR:https://ror.org/00jmfr291 Michigan U. Zhou, N. INSPIRE-00301363 ORCID:0000-0002-1775-2511 ROR:https://ror.org/00hj8s172 Columbia U. Zhou, Y. INSPIRE-00226413 ROR:https://ror.org/01tpvdq80 Taiwan, Inst. Phys. Zhu, C.G. INSPIRE-00226420 ORCID:0000-0001-8015-3901 ROR:https://ror.org/0207yh398 Shandong U. Zhu, H. INSPIRE-00226430 ORCID:0000-0001-8066-7048 ROR:https://ror.org/01js2sh04 DESY Zhu, Y. INSPIRE-00218063 ORCID:0000-0002-7306-1053 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Zhuang, X. INSPIRE-00226448 ORCID:0000-0003-0996-3279 ROR:https://ror.org/05591te55 Munich U. Zhuravlov, V. INSPIRE-00226451 ROR:https://ror.org/0079jjr10 Munich, Max Planck Inst. Zilka, B. INSPIRE-00233254 ROR:https://ror.org/0587ef340 Comenius U. Zimmermann, R. INSPIRE-00226462 ROR:https://ror.org/041nas322 Bonn U. Zimmermann, S. ROR:https://ror.org/041nas322 Bonn U. Zimmermann, S. ROR:https://ror.org/0245cg223 Freiburg U. Ziolkowski, M. INSPIRE-00154081 ROR:https://ror.org/02azyry73 Siegen U. Zitoun, R. INSPIRE-00233264 ROR:https://ror.org/049nhh297 Annecy, LAPP Zivkovic, L. INSPIRE-00057284 ORCID:0000-0003-4236-8930 ROR:https://ror.org/00hj8s172 Columbia U. Zmouchko, V.V. ROR:https://ror.org/03kn4xv14 Serpukhov, IHEP Zobernig, G. INSPIRE-00226497 ORCID:0000-0001-8113-1499 ROR:https://ror.org/01y2jtd41 Wisconsin U., Madison Zoccoli, A. INSPIRE-00138667 ROR:https://ror.org/04j0x0h93 ROR:https://ror.org/01111rn36 INFN, Bologna Bologna U. Zolnierowski, Y. INSPIRE-00233288 ROR:https://ror.org/049nhh297 Annecy, LAPP Zsenei, A. INSPIRE-00138702 ROR:https://ror.org/01ggx4157 CERN zur Nedden, M. INSPIRE-00226500 ROR:https://ror.org/01hcx6992 Humboldt U., Berlin Zutshi, V. INSPIRE-00138781 klaus.moenig@cern.ch CERN-PH-EP CERN EDS http://cdsweb.cern.ch/record/1267391/files/perfpaper-v3.28.pdf (Fulltext) OA Affil a faire no xml author list file LANL EDS arXiv Particle Physics - Experiment CERN EDS Detectors and Experimental Techniques CERN detector CERN ARTICLE ATLAS_Papers n 201043 a2010 26 Oct 2010 13 CERN-PH-EP-2010-015 ATLAS-IDTR-2010-01 ATLAS-PERF-2010-01-003 Aad, G. INSPIRE-00210391 ORCID:0000-0002-6665-4934 ROR:https://ror.org/0245cg223 Freiburg U. CERN Library PH-EP-2010-015 DOI 10.1007/JHEP09(2010)056 oai:cds.cern.ch:1268564 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN arXiv oai:arXiv.org:1005.5254 Inspire 856566 arXiv arXiv:1005.5254 hep-ex 2010 CERN Geneva 31 May 2010 65 p More than half a million minimum-bias events of LHC collision data were collected by the ATLAS experiment in December 2009 at centre-of-mass energies of 0.9 TeV and 2.36 TeV. This paper reports on studies of the initial performance of the ATLAS detector from these data. Comparisons between data and Monte Carlo predictions are shown for distributions of several track- and calorimeter-based quantities. The good performance of the ATLAS detector in these first data gives confidence for successful running at higher energies. arXiv More than half a million minimum-bias events of LHC collision data were collected by the ATLAS experiment in December 2009 at centre-of-mass energies of 0.9 TeV and 2.36 TeV. This paper reports on studies of the initial performance of the ATLAS detector from these data. Comparisons between data and Monte Carlo predictions are shown for distributions of several track- and calorimeter-based quantities. The good performance of the ATLAS detector in these first data gives confidence for successful running at higher energies. Open Access publication http://creativecommons.org/licenses/by/3.0/ CC-BY-3.0 CC-BY-3.0 preprint publication 2010 CERN CERN 2010 preprint PH-EP ATLAS Collaboration JHEP 09 2010 056 https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/PERF-2010-01/ all figures including auxiliary figures 1327243 1113003 http://cds.cern.ch/record/1268564/files/arXiv:1005.5254.pdf 1327210 26497 http://cds.cern.ch/record/1268564/files/figures_fig_15.png 00024 The fraction of high-threshold transition radiation hits on tracks as a function of the relativistic $\gamma$ factor (see text for details). 1327211 19624 http://cds.cern.ch/record/1268564/files/figures_fig_38b-may12.png 00072 The distribution of $\eta$ and $p$ of reconstructed muons in the $0.9$~\TeV\ data. The simulation distributions are normalized to the number of entries in data. \vspace{-0.5cm} 1327212 25364 http://cds.cern.ch/record/1268564/files/figures_fig_06a.png 00010 Unbiased residual distributions in the TRT barrel (a) and end-caps (b). The data points are in filled circles and the simulation in empty ones. 1327213 22781 http://cds.cern.ch/record/1268564/files/figures_fig_12b.png 00021 (a) The variance of the $d_0$ distribution as a function of $1/(p^2 \sin^3\theta )$ of the tracks for data (solid points) compared to the nominal simulation (open points). A straight line fit to the data points is also shown. (b) The lifetime-signed impact parameter significance. \vspace{-.2cm} 1327214 17704 http://cds.cern.ch/record/1268564/files/figures_fig_33b-may12.png 00062 L1 jet trigger efficiency for the triggers with 50\% efficiency at around 15~\GeV\ and 20~\GeV\ for data (solid) and simulation (open) together with a fit to the Monte Carlo using a standard threshold function (see text). 1327215 303028 http://cds.cern.ch/record/1268564/files/figures_Fig14_doct.png 00023 An event containing a secondary vertex selected by the secondary vertex algorithm. The pixel detector can be seen on the left and an expansion of the vertex region on the right. Unassociated hits, in a lighter colour, are predominantly due to unreconstructed particles such as those with transverse momenta below 0.5~\GeV. 1327216 22966 http://cds.cern.ch/record/1268564/files/figures_Fig4a.png 00006 A comparison of data and simulation in the average number of hits in (a) the Pixels and (b) the SCT versus $\phi$ on selected tracks. Comparable distributions versus $\eta$ can be found in Ref.~\cite{Collaboration:2010rd}. 1327217 22439 http://cds.cern.ch/record/1268564/files/figures_fig_21b-may12.png 00036 Distributions of calorimeter variables compared between data and simulation for all photon candidates with \pt\ above 2.5~\GeV. Shown are the shower width in the middle layer of the EM~calorimeter, $w_2$~(a), and the variables $E_{\rm ratio}$~(b) and $w_{s3}$~(c), which characterize the shower shape in the first (strips) EM~layer. The simulation is normalized to the number of data events. 1327218 20190 http://cds.cern.ch/record/1268564/files/figures_fig_26b_format.png 00049 Distribution of the $E/p$ as extracted from data compared to the truth from simulation. The results are shown for both components of the electron candidates: electrons from conversions~(a) and hadrons~(b). The simulation is normalized to the number of data events. \vspace{-0.2cm} 1327219 17563 http://cds.cern.ch/record/1268564/files/figures_fig_38a-may12.png 00071 The distribution of $\eta$ and $p$ of reconstructed muons in the $0.9$~\TeV\ data. The simulation distributions are normalized to the number of entries in data. \vspace{-0.5cm} 1327220 21687 http://cds.cern.ch/record/1268564/files/figures_fig_05a-may11.png 00008 TRT hit efficiency as a function of the distance of the track from the wire in the centre of the straw in (a) the barrel and (b) the end-caps. 1327221 16325 http://cds.cern.ch/record/1268564/files/figures_fig_25b_format.png 00047 Distribution of the energy fraction in the strip layer of the EM~calorimeter as extracted from data compared to the truth from simulation. The results are shown for both components of the electron candidates: electrons from conversions~(a) and hadrons~(b). The simulation is normalized to the number of data events. 1327222 22248 http://cds.cern.ch/record/1268564/files/figures_fig_22b-may12.png 00039 Distributions of track-calorimeter matching variables for all electron candidates compared between data and simulation. (a) shows the difference in $\eta$ in the first calorimeter layer (see Section~\ref{sec:matching}) and (b) shows the match in charge-signed-$\phi$ in the second. The simulation is normalized to the number of data events. 1327223 22783 http://cds.cern.ch/record/1268564/files/figures_Fig16.png 00025 The efficiency for reconstruction of a L2 track candidate as a function of the \pt\ of the matched offline track in data and Monte Carlo simulation. A fit of the threshold curve is superimposed. 1327224 19968 http://cds.cern.ch/record/1268564/files/figures_fig_18b.png 00029 Cluster $E_T$~(a) and $|\eta|$~(b) for all selected photon candidates. The simulation is normalized to the number of data events. 1327225 22254 http://cds.cern.ch/record/1268564/files/figures_fig_18a.png 00028 Cluster $E_T$~(a) and $|\eta|$~(b) for all selected photon candidates. The simulation is normalized to the number of data events. 1327226 23051 http://cds.cern.ch/record/1268564/files/figures_Fig4b.png 00007 A comparison of data and simulation in the average number of hits in (a) the Pixels and (b) the SCT versus $\phi$ on selected tracks. Comparable distributions versus $\eta$ can be found in Ref.~\cite{Collaboration:2010rd}. 1327227 27660 http://cds.cern.ch/record/1268564/files/figures_Fig12a.png 00020 (a) The variance of the $d_0$ distribution as a function of $1/(p^2 \sin^3\theta )$ of the tracks for data (solid points) compared to the nominal simulation (open points). A straight line fit to the data points is also shown. (b) The lifetime-signed impact parameter significance. \vspace{-.2cm} 1327228 17337 http://cds.cern.ch/record/1268564/files/figures_fig_2b.png 00004 Time difference $\Delta t_{\mathrm MBTS}$ of hits recorded by the two MBTS scintillator wheels mounted in front of the electromagnetic end-cap wheels on both sides of the ATLAS detector; (a) time difference without any selection and (b) requiring a well-reconstructed vertex. 1327229 19665 http://cds.cern.ch/record/1268564/files/figures_fig_2a.png 00003 Time difference $\Delta t_{\mathrm MBTS}$ of hits recorded by the two MBTS scintillator wheels mounted in front of the electromagnetic end-cap wheels on both sides of the ATLAS detector; (a) time difference without any selection and (b) requiring a well-reconstructed vertex. 1327230 17140 http://cds.cern.ch/record/1268564/files/figures_fig_25a_format.png 00046 Distribution of the energy fraction in the strip layer of the EM~calorimeter as extracted from data compared to the truth from simulation. The results are shown for both components of the electron candidates: electrons from conversions~(a) and hadrons~(b). The simulation is normalized to the number of data events. 1327231 27370 http://cds.cern.ch/record/1268564/files/figures_Fig31b.png 00058 Distributions of (a) the number of clusters per jet and (b) the fraction of energy per cluster for jets reconstructed with topological clusters using the \antikt~algorithm with R=0.6. 1327232 18077 http://cds.cern.ch/record/1268564/files/figures_fig_33a-may12.png 00061 L1 jet trigger efficiency for the triggers with 50\% efficiency at around 15~\GeV\ and 20~\GeV\ for data (solid) and simulation (open) together with a fit to the Monte Carlo using a standard threshold function (see text). 1327233 22297 http://cds.cern.ch/record/1268564/files/figures_Fig31a.png 00057 Distributions of (a) the number of clusters per jet and (b) the fraction of energy per cluster for jets reconstructed with topological clusters using the \antikt~algorithm with R=0.6. 1327234 18238 http://cds.cern.ch/record/1268564/files/figures_fig_17b_bigger_move.png 00027 Distribution of cluster $E_T$~(a) and $|\eta|$~(b) for all selected electron candidates. The simulation is normalized to the number of data events. 1327235 19104 http://cds.cern.ch/record/1268564/files/figures_fig_21a.png 00035 Distributions of calorimeter variables compared between data and simulation for all photon candidates with \pt\ above 2.5~\GeV. Shown are the shower width in the middle layer of the EM~calorimeter, $w_2$~(a), and the variables $E_{\rm ratio}$~(b) and $w_{s3}$~(c), which characterize the shower shape in the first (strips) EM~layer. The simulation is normalized to the number of data events. 1327236 26119 http://cds.cern.ch/record/1268564/files/figures_fig_23c_redone_bigger.png 00042 Distributions of tracking variables for all electron candidates compared between data and simulation. The number of Pixel~(a) and SCT~(b) hits on the electron tracks are shown, the fraction of high-threshold TRT~hits for candidates with~$|\eta|<2.0$ and with a total number of TRT~hits larger than ten~(c), and the transverse impact parameter,~$d_0$, with respect to the reconstructed primary vertex~(d). The simulation is normalized to the number of data events. 1327237 27904 http://cds.cern.ch/record/1268564/files/figures_fig_07c.png 00014 The distributions of the silicon detector unbiased residuals for (a) the pixel barrel, (b) the pixel end-cap, (c) the SCT barrel, (d) the SCT end-cap. The data are in solid circles, the simulation, which has a perfect alignment, is shown with open ones. 1327238 26779 http://cds.cern.ch/record/1268564/files/figures_fig_06b.png 00011 Unbiased residual distributions in the TRT barrel (a) and end-caps (b). The data points are in filled circles and the simulation in empty ones. 1327239 24268 http://cds.cern.ch/record/1268564/files/figures_fig_27a.png 00050 Comparison between converted photon candidates, for which both tracks have silicon hits, in data and non-diffractive minimum-bias Monte Carlo simulation. (a) Opening angle in the $rz$ plane between the two tracks ($\Delta(1/\mathrm{tan}\theta)$); (b) 3D distance of closest approach between the two tracks, dr. The distributions are normalized to the same number of conversion candidates in data and Monte Carlo simulation. 1327240 17536 http://cds.cern.ch/record/1268564/files/figures_fig_35.png 00065 Distribution of \MET~as measured in data from randomly triggered events. Only cells belonging to topological clusters are included in the calculation; their energies are calibrated at the EM scale. 1327241 20571 http://cds.cern.ch/record/1268564/files/figures_fig_27b.png 00051 Comparison between converted photon candidates, for which both tracks have silicon hits, in data and non-diffractive minimum-bias Monte Carlo simulation. (a) Opening angle in the $rz$ plane between the two tracks ($\Delta(1/\mathrm{tan}\theta)$); (b) 3D distance of closest approach between the two tracks, dr. The distributions are normalized to the same number of conversion candidates in data and Monte Carlo simulation. 1327242 28516 http://cds.cern.ch/record/1268564/files/figures_fig_07b.png 00013 The distributions of the silicon detector unbiased residuals for (a) the pixel barrel, (b) the pixel end-cap, (c) the SCT barrel, (d) the SCT end-cap. The data are in solid circles, the simulation, which has a perfect alignment, is shown with open ones. 1327244 22132 http://cds.cern.ch/record/1268564/files/figures_fig_23a_redone_bigger.png 00040 Distributions of tracking variables for all electron candidates compared between data and simulation. The number of Pixel~(a) and SCT~(b) hits on the electron tracks are shown, the fraction of high-threshold TRT~hits for candidates with~$|\eta|<2.0$ and with a total number of TRT~hits larger than ten~(c), and the transverse impact parameter,~$d_0$, with respect to the reconstructed primary vertex~(d). The simulation is normalized to the number of data events. 1327245 52593 http://cds.cern.ch/record/1268564/files/figures_fig_11.png 00019 The measured and simulated mass spectra of $K^+K^-$ pairs. The $\phi$ peak is fitted with a Breit-Wigner with a fixed width convoluted with a Gaussian. Both kaons must be identified through the \dedx\ measurement. 1327246 15423 http://cds.cern.ch/record/1268564/files/figures_fig_01b_2.png 00002 (a) Reconstructed $z$-vertex distribution calculated online by the higher level trigger for monitoring purposes. The width includes a small contribution from the experimental resolution. (b) Data-taking efficiency for periods with two circulating beams in December 2009. 1327247 18575 http://cds.cern.ch/record/1268564/files/figures_fig_36b_y.png 00067 Distribution of \py~(a,b)~and \MET~(c,d) as measured in data from minimum-bias events (dots) at 0.9~\TeV\ (a,c) and 2.36~\TeV\ (b,d) centre-of-mass energies. In the calculation only topological cluster cells are used, with energies calibrated at the EM scale. The expectations from Monte Carlo simulation are superimposed (histograms) and normalized to the number of events in data. \vspace{-0.5cm} 1327248 21334 http://cds.cern.ch/record/1268564/files/figures_Fig37.png 00070 \MET~resolution as a function of the total transverse energy (\sumet) for minimum-bias events. The line shows a fit to the resolution expected from the Monte Carlo simulation and the full dots (open squares) represents the results with data at 0.9 (2.36)~\TeV. \px, \py, \sumet~are computed with topological cluster cells at EM scale. 1327249 21349 http://cds.cern.ch/record/1268564/files/figures_fig_22a-may12.png 00038 Distributions of track-calorimeter matching variables for all electron candidates compared between data and simulation. (a) shows the difference in $\eta$ in the first calorimeter layer (see Section~\ref{sec:matching}) and (b) shows the match in charge-signed-$\phi$ in the second. The simulation is normalized to the number of data events. 1327250 17814 http://cds.cern.ch/record/1268564/files/figures_fig_19.png 00030 Efficiency for the lowest threshold L1 electromagnetic trigger, a nominal 4~\GeV, as a function of the uncalibrated offline cluster transverse energy. The turn-on is shown for data (solid triangles) and non-diffractive minimum-bias simulation (open circles). 1327251 22468 http://cds.cern.ch/record/1268564/files/figures_fig_34a.png 00063 (a) The electromagnetic radius\, $R_{\mathrm EM}$ (see text) of the inclusive reconstructed tau candidates. (b) The same variable with a tightened selection requiring di-jet events. The Monte Carlo is normalized to the same number of candidates as in the data. 1327252 17965 http://cds.cern.ch/record/1268564/files/figures_fig_17a_bigger_move.png 00026 Distribution of cluster $E_T$~(a) and $|\eta|$~(b) for all selected electron candidates. The simulation is normalized to the number of data events. 1327253 19126 http://cds.cern.ch/record/1268564/files/figures_fig_34b.png 00064 (a) The electromagnetic radius\, $R_{\mathrm EM}$ (see text) of the inclusive reconstructed tau candidates. (b) The same variable with a tightened selection requiring di-jet events. The Monte Carlo is normalized to the same number of candidates as in the data. 1327254 20077 http://cds.cern.ch/record/1268564/files/figures_fig_36a_y.png 00066 Distribution of \py~(a,b)~and \MET~(c,d) as measured in data from minimum-bias events (dots) at 0.9~\TeV\ (a,c) and 2.36~\TeV\ (b,d) centre-of-mass energies. In the calculation only topological cluster cells are used, with energies calibrated at the EM scale. The expectations from Monte Carlo simulation are superimposed (histograms) and normalized to the number of events in data. \vspace{-0.5cm} 1327255 36012 http://cds.cern.ch/record/1268564/files/figures_fig_9.png 00017 The fitted \kshort\ mass divided by the value found in nominal MC simulation as a function of the reconstructed decay position. The filled circles show the data, and the open symbols are for simulation samples with approximately 10\% and 20\% more silicon tracker material added. The horizontal dotted line is to guide the eye. 1327256 23603 http://cds.cern.ch/record/1268564/files/figures_fig_23b_redone_bigger.png 00041 Distributions of tracking variables for all electron candidates compared between data and simulation. The number of Pixel~(a) and SCT~(b) hits on the electron tracks are shown, the fraction of high-threshold TRT~hits for candidates with~$|\eta|<2.0$ and with a total number of TRT~hits larger than ten~(c), and the transverse impact parameter,~$d_0$, with respect to the reconstructed primary vertex~(d). The simulation is normalized to the number of data events. 1327257 23157 http://cds.cern.ch/record/1268564/files/figures_fig_23d_redone_bigger.png 00043 Distributions of tracking variables for all electron candidates compared between data and simulation. The number of Pixel~(a) and SCT~(b) hits on the electron tracks are shown, the fraction of high-threshold TRT~hits for candidates with~$|\eta|<2.0$ and with a total number of TRT~hits larger than ten~(c), and the transverse impact parameter,~$d_0$, with respect to the reconstructed primary vertex~(d). The simulation is normalized to the number of data events. 1327258 21743 http://cds.cern.ch/record/1268564/files/figures_fig_05b-may11.png 00009 TRT hit efficiency as a function of the distance of the track from the wire in the centre of the straw in (a) the barrel and (b) the end-caps. 1327259 106154 http://cds.cern.ch/record/1268564/files/figures_Fig10.png 00018 The \dedx\ measured in data as a function of momentum. 1327260 19547 http://cds.cern.ch/record/1268564/files/figures_fig_26a_format.png 00048 Distribution of the $E/p$ as extracted from data compared to the truth from simulation. The results are shown for both components of the electron candidates: electrons from conversions~(a) and hadrons~(b). The simulation is normalized to the number of data events. \vspace{-0.2cm} 1327261 30334 http://cds.cern.ch/record/1268564/files/figures_fig_28a.png 00052 Distribution of conversion candidate radius, (a), and $\eta$, (b). The points show the distribution for data; the open histograms, the total from the Monte Carlo simulation and the filled component shows the expected contribution of true photon conversions. The contribution from the Dalitz decays of neutral mesons is shown in sub-figure (a). The Monte Carlo simulation is normalized to number of conversion candidates in the data, although in subsequent analysis normalization is to the number in the beam pipe. 1327262 23419 http://cds.cern.ch/record/1268564/files/figures_fig_28b.png 00053 Distribution of conversion candidate radius, (a), and $\eta$, (b). The points show the distribution for data; the open histograms, the total from the Monte Carlo simulation and the filled component shows the expected contribution of true photon conversions. The contribution from the Dalitz decays of neutral mesons is shown in sub-figure (a). The Monte Carlo simulation is normalized to number of conversion candidates in the data, although in subsequent analysis normalization is to the number in the beam pipe. 1327263 32880 http://cds.cern.ch/record/1268564/files/figures_fig_3.png 00005 Instantaneous luminosity measured by the MBTS and LAr, with superimposed the LUCID and HLT vertex counting estimates normalized in such a way to give the same integrated luminosity as measured with the MBTS system. All measurements are corrected for TDAQ dead-time, except LUCID which is free from dead time effects. The short luminosity drop at 14:15 is due to inhibiting the trigger for ramping up the silicon detectors after declaration of stable LHC beams. 1327264 30047 http://cds.cern.ch/record/1268564/files/figures_fig_07d.png 00015 The distributions of the silicon detector unbiased residuals for (a) the pixel barrel, (b) the pixel end-cap, (c) the SCT barrel, (d) the SCT end-cap. The data are in solid circles, the simulation, which has a perfect alignment, is shown with open ones. 1327265 20254 http://cds.cern.ch/record/1268564/files/figures_fig_21c-may12.png 00037 Distributions of calorimeter variables compared between data and simulation for all photon candidates with \pt\ above 2.5~\GeV. Shown are the shower width in the middle layer of the EM~calorimeter, $w_2$~(a), and the variables $E_{\rm ratio}$~(b) and $w_{s3}$~(c), which characterize the shower shape in the first (strips) EM~layer. The simulation is normalized to the number of data events. 1327266 30066 http://cds.cern.ch/record/1268564/files/figures_fig_8.png 00016 The \kshort\ candidate mass distribution using impact parameter and lifetime selections. The simulated signal and background are separately normalized to the data. 1327267 21274 http://cds.cern.ch/record/1268564/files/figures_fig_01a-may12.png 00001 (a) Reconstructed $z$-vertex distribution calculated online by the higher level trigger for monitoring purposes. The width includes a small contribution from the experimental resolution. (b) Data-taking efficiency for periods with two circulating beams in December 2009. 1327268 41208 http://cds.cern.ch/record/1268564/files/figures_Fig29a.png 00054 (a) Diphoton invariant mass distribution for the \pizero\ selection for data and Monte Carlo. The Monte Carlo is normalized to the same number of entries as the data. (b) Invariant mass distribution from one converted and one unconverted photon. The data are represented by points and the Monte Carlo simulations are shown as histograms. 1327269 31856 http://cds.cern.ch/record/1268564/files/figures_Fig30.png 00056 Diphoton invariant mass spectrum with tighter selection criteria to extract the $\eta$ peak with the fit superimposed to the data. The Monte Carlo simulation sample is normalized to the number of entries in the distribution for data. 1327270 19226 http://cds.cern.ch/record/1268564/files/figures_fig_36c.png 00068 Distribution of \py~(a,b)~and \MET~(c,d) as measured in data from minimum-bias events (dots) at 0.9~\TeV\ (a,c) and 2.36~\TeV\ (b,d) centre-of-mass energies. In the calculation only topological cluster cells are used, with energies calibrated at the EM scale. The expectations from Monte Carlo simulation are superimposed (histograms) and normalized to the number of events in data. \vspace{-0.5cm} 1327271 21165 http://cds.cern.ch/record/1268564/files/figures_fig_20a.png 00031 Fraction of energy deposited by photon candidates with $E_T >$ 2.5~\GeV\ in each layer of the electromagnetic calorimeter for data and simulation. These fractions are labelled as (a) $f_0$~for the presampler layer, (b) $f_1$~for the strip layer, (c) $f_2$~for the middle layer and $(d)~f_3$~for the back layer. Fractions can be negative due to noise fluctuations. The simulation is normalized to the number of data events. 1327272 22569 http://cds.cern.ch/record/1268564/files/figures_fig_20b.png 00032 Fraction of energy deposited by photon candidates with $E_T >$ 2.5~\GeV\ in each layer of the electromagnetic calorimeter for data and simulation. These fractions are labelled as (a) $f_0$~for the presampler layer, (b) $f_1$~for the strip layer, (c) $f_2$~for the middle layer and $(d)~f_3$~for the back layer. Fractions can be negative due to noise fluctuations. The simulation is normalized to the number of data events. 1327273 22379 http://cds.cern.ch/record/1268564/files/figures_fig_20c.png 00033 Fraction of energy deposited by photon candidates with $E_T >$ 2.5~\GeV\ in each layer of the electromagnetic calorimeter for data and simulation. These fractions are labelled as (a) $f_0$~for the presampler layer, (b) $f_1$~for the strip layer, (c) $f_2$~for the middle layer and $(d)~f_3$~for the back layer. Fractions can be negative due to noise fluctuations. The simulation is normalized to the number of data events. 1327274 19308 http://cds.cern.ch/record/1268564/files/figures_fig_20d.png 00034 Fraction of energy deposited by photon candidates with $E_T >$ 2.5~\GeV\ in each layer of the electromagnetic calorimeter for data and simulation. These fractions are labelled as (a) $f_0$~for the presampler layer, (b) $f_1$~for the strip layer, (c) $f_2$~for the middle layer and $(d)~f_3$~for the back layer. Fractions can be negative due to noise fluctuations. The simulation is normalized to the number of data events. 1327275 22226 http://cds.cern.ch/record/1268564/files/figures_fig_24b.png 00045 Ratio, $E/p$, between cluster energy and particle track momentum (a) for electron candidates and (b) for electrons from converted photons. In each case candidates with \pt\ above 2.5~\GeV\ in the calorimeter are shown. Sub-figure (a) is dominated by real electrons. The simulation is normalized to the number of data events. 1327276 29610 http://cds.cern.ch/record/1268564/files/figures_fig_07a.png 00012 The distributions of the silicon detector unbiased residuals for (a) the pixel barrel, (b) the pixel end-cap, (c) the SCT barrel, (d) the SCT end-cap. The data are in solid circles, the simulation, which has a perfect alignment, is shown with open ones. 1327277 17860 http://cds.cern.ch/record/1268564/files/figures_fig_36d.png 00069 Distribution of \py~(a,b)~and \MET~(c,d) as measured in data from minimum-bias events (dots) at 0.9~\TeV\ (a,c) and 2.36~\TeV\ (b,d) centre-of-mass energies. In the calculation only topological cluster cells are used, with energies calibrated at the EM scale. The expectations from Monte Carlo simulation are superimposed (histograms) and normalized to the number of events in data. \vspace{-0.5cm} 1327278 23616 http://cds.cern.ch/record/1268564/files/figures_fig_24a_redone_bigger.png 00044 Ratio, $E/p$, between cluster energy and particle track momentum (a) for electron candidates and (b) for electrons from converted photons. In each case candidates with \pt\ above 2.5~\GeV\ in the calorimeter are shown. Sub-figure (a) is dominated by real electrons. The simulation is normalized to the number of data events. 1327279 19432 http://cds.cern.ch/record/1268564/files/figures_fig_29b-may12.png 00055 (a) Diphoton invariant mass distribution for the \pizero\ selection for data and Monte Carlo. The Monte Carlo is normalized to the same number of entries as the data. (b) Invariant mass distribution from one converted and one unconverted photon. The data are represented by points and the Monte Carlo simulations are shown as histograms. 1327280 19435 http://cds.cern.ch/record/1268564/files/figures_fig_32b.png 00060 Distributions of (a) \pt\ for all jets and (b) $\Delta \phi$ for events with two or more jets. These are shown for jets reconstructed with topological clusters using the \antikt~algorithm with R=0.6. 1327281 18140 http://cds.cern.ch/record/1268564/files/figures_fig_32a.png 00059 Distributions of (a) \pt\ for all jets and (b) $\Delta \phi$ for events with two or more jets. These are shown for jets reconstructed with topological clusters using the \antikt~algorithm with R=0.6. 1327282 18154 http://cds.cern.ch/record/1268564/files/figures_Fig13.png 00022 The vertex mass distribution for all secondary vertices with positive decay length selected in data. The expectation from simulated events, normalized to the number of jets in the data, is superimposed. 2324507 9563 http://cds.cern.ch/record/1268564/files/fig00000.png 00000 noimgLuminosity-weighted fraction of the time during stable beam operation for which the different detectors were able to take data under nominal conditions. 600055 1373752 http://cds.cern.ch/record/1268564/files/jhep09.2010.056.pdf Springer Open Access article eng Performance of the ATLAS Detector using First Collision Data arXiv Performance of the ATLAS Detector using First Collision Data CERN 20100629 1645 CER01 20100531 PUBLIC ARTICLE ATLAS_Papers 08 Jun 2010 1090659 SzGeCERN 20180529220347.0 oai:cds.cern.ch:1090659 cerncds:FULLTEXT cerncds:CERN:FULLTEXT cerncds:CERN SPIRES 8059748 Inspire 802996 ATL-COM-DAQ-2008-003 eng CERN-ATL-COM-DAQ-2008-003 Abolins, M Integration of the Trigger and Data Acquisition Systems in ATLAS 2008 Geneva CERN 02 Nov 2007 mult. p During 2006 and the first half of 2007, the installation, integration and commissioning of trigger and data acquisition (TDAQ) equipment in the ATLAS experimental area have progressed. There have been a series of technical runs using the final components of the system already installed in the experimental area. Various tests have been run including ones where level 1 preselected simulated proton-proton events have been processed in a loop mode through the trigger and dataflow chains. The system included the readout buffers containing the events, event building, level 2 and event filter trigger algorithms. The scalability of the system with respect to the number of event building nodes used has been studied and quantities critical for the final system, such as trigger rates and event processing times, have been measured using different trigger algorithms as well as different TDAQ components. This paper presents the TDAQ architecture, the current status of the installation and commissioning and highlights the main test results that validate the system. CC-BY-4.0 Preprint CERN EDS SzGeCERN Detectors and Experimental Techniques SzGeCERN DAQ and Trigger CERN TDAQ, HLT, DAQ, Trigger CERN INTNOTE PUBLATLAS ARTICLE INTNOTEATLASPUBL CERN LHC ATLAS Adragna, P AUTHOR|(CDS)2074098 #BEARD# Aleksandrov, E Aleksandrov, I Amorim, A Anderson, K AUTHOR|(CDS)2073507 #BEARD# Anduaga, X Dos Anjos, A Aracena, I Asquith, L Avolio, G CERN Backlund, S CERN Badescu, E Baines, J Barria, P AUTHOR|(CDS)2073824 #BEARD# Bartoldus, R Batreanu, S CERN Beck, H P Bee, C Bell, P Bell, W H Bellomo, M Benslama, K Berge, D CERN AUTHOR|(CDS)2069284 #BEARD# Berger, N Berry, T Biglietti, M Blair, R R Bogaerts, A CERN Bold, T AUTHOR|(CDS)2076562 #BEARD# Bosman, M AUTHOR|(CDS)2050984 #BEARD# Boyd, J CERN Brelier, B Burckhart-Chromek, D CERN Buttar, C Campanelli, M AUTHOR|(CDS)2051256 #BEARD# Caprini, M Carlino, G Casadei, D Casado, M P Cataldi, G Cimino, D Ciobotaru, M CERN Clements, D Coccaro, A Conde-Muíño, P Conventi, F Corso-Radu, A Costa, M J AUTHOR|(CDS)2069486 #BEARD# Coura Torres, R Cranfield, R Cranmer, K Crone, G Dam, M Damazio, D Dawson, I Dawson, J De Almeida Simoes, J De Cecco, S AUTHOR|(CDS)2074572 #BEARD# De Santo, A DellaPietra, M Delsart, P-A Demers, S Demirkoz, B CERN Di Mattia, A AUTHOR|(CDS)2071387 #BEARD# Dionisi, C Djilkibaev, R Dobinson, Robert W CERN Dobson, M CERN Dotti, A AUTHOR|(CDS)2075331 #BEARD# Dova, M Drake, G AUTHOR|(CDS)2075062 #BEARD# Dufour, M-A Eckweiler, S Ehrenfeld, W Eifert, T Ellis, Nick CERN Emeliyanov, D Enoque Ferreira de Lima, D Ermoline, Y Eschrich, I Facius, K Falciano, S Farthouat, P CERN Feng, E AUTHOR|(CDS)2070324 #BEARD# Ferland, J Ferrari, R Ferrer, M L Fischer, G Fonseca-Martin, T CERN Francis, D CERN Gadomski, S AUTHOR|(CDS)2067204 #BEARD# Garitaonandia Elejabarrieta, H Gaudio, G Gaumer, O George, S Giagu, S AUTHOR|(CDS)2072532 #BEARD# Goncalo, R AUTHOR|(CDS)2068159 #BEARD# Gorini, B CERN Gorini, E Gowdy, S Grabowska-Bold, I CERN AUTHOR|(CDS)2068153 #BEARD# Grancagnolo, S Green, B Haas, S CERN Haberichter, W Hadavand, H Haeberli, C Haller, J Hamilton, A Hansen, J R AUTHOR|(CDS)2072622 #BEARD# Hauschild, M CERN AUTHOR|(CDS)2051232 #BEARD# Hauser, R Head, S Hillier, S J Höcker, A CERN Hryn'ova, T CERN Hughes-Jones, R Huston, J AUTHOR|(CDS)2072617 #BEARD# Idarraga, J AUTHOR|(CDS)2077905 #BEARD# Igonkina, O Inada, M Jain, V AUTHOR|(CDS)2073188 #BEARD# Johns, K AUTHOR|(CDS)2070655 #BEARD# Joos, M CERN Kama, S Kanaya, N Kazarov, A Kehoe, R AUTHOR|(CDS)2073632 #BEARD# Khoriauli, G Kieft, G Kilvington, G Kirk, J Kiyamura, H Kolos, S Kono, T CERN Konstantinidis, N Korcyl, K Kordas, K Kotov, V Krasznahorkay, A CERN Kubota, T Kugel, A Kuhn, D Kurasige, H Kuwabara, T Kwee, R Lankford, A LeCompte, T AUTHOR|(CDS)2071403 #BEARD# Leahu, L CERN Leahu, M Ledroit, F Lehmann-Miotto, G CERN Lei, X AUTHOR|(CDS)2070097 #BEARD# Lellouch, D Leyton, M Li, S Lim, H Lohse, T Losada, M Luci, C Luminari, L Mapelli, L CERN Martin, B CERN Martin, B T Marzano, F Masik, J McMahon, T McPherson, R Medinnis, M Meessen, C Meirosu, C Messina, A CERN Mincer, A Mineev, M Misiejuk, A Mönig, K Monticelli, F Moraes, A Moreno, D Morettini, P Murillo Garcia, R CERN Nagano, K AUTHOR|(CDS)2073495 #BEARD# Nagasaka, Y Zur Nedden, M Negri, A Némethy, P Neusiedl, A Nisati, A Nozicka, M Omachi, C Osculati, B Osuna, C Ozcan, E Padilla, C CERN Panikashvili, N Parodi, F Pasqualucci, E Pauly, T CERN Perera, V Pérez, E Pérez-Réale, V CERN Petersen, J CERN Piegaia, R Pilcher, J E Pinzon, G Pope, B Potter, C Primavera, M Radescu, V AUTHOR|(CDS)2072438 #BEARD# Rajagopalan, S Renkel, P Rescigno, M AUTHOR|(CDS)2073639 #BEARD# Rieke, S Risler, C Riu, I Robertson, S Roda, C AUTHOR|(CDS)2073273 #BEARD# Rodríguez, D Rogriquez, Y Ryabov, Yu Ryan, P Salvatore, D Santamarina, C Santamarina-Rios, C Scannicchio, D Scannicchio, D A Schiavi, C Schlereth, J L Scholtes, I CERN Schooltz, D Scott, W Segura, E Shimbo, N Sidoti, A Siragusa, G Sivoklokov, S Sloper, J E CERN Smizanska, M Soloviev, I CERN Soluk, R Spagnolo, S Spiwoks, R CERN Stancu, S CERN Steinberg, P Stelzer, J CERN Stradling, A Strom, D Strong, J Su, D Sushkov, S Sutton, M Szymocha, T Tapprogge, S Tarem, S Tarem, Z Teixeira-Dias, P Tokoshuku, K Torrence, E Touchard, F Tremblet, L CERN Tripiana, M Ünel, G CERN Usai, G AUTHOR|(CDS)2108766 #BEARD# Vachon, B Vandelli, W CERN AUTHOR|(CDS)2070160 #BEARD# Ventura, A Vercesi, V Vermeulen, J Von Der Schmitt, J Wang, M AUTHOR|(CDS)2075431 #BEARD# Watson, A Wengler, T Werner, P CERN Wheeler-Ellis, S Wickens, F CERN Wiedenmann, W Wielers, M Wilkens, H Winklmeier, F CERN Woerling, E E Wu, S L Wu, X AUTHOR|(CDS)2051427 #BEARD# Xella, S Yamazaki, Y AUTHOR|(CDS)2072662 #BEARD# Yu, M Zema, F CERN Zhang, J Zhao, L Zobernig, H PH-EP International Conference on Computing in High Energy and Nuclear Physics 022001 J. Phys.: Conf. Ser. 119 2008 http://documents.cern.ch/cgi-bin/setlink?base=atlnot&categ=Communication&id=com-daq-2008-003 Access to fulltext document http://cds.cern.ch/record/1090659/files/ATL-COM-DAQ-2008-003.pdf Access to fulltext document benedetto.gorini@cern.ch n 200870 a2008 13 20100901 1607 CER01 20080223 947732 022001 victoria20070902 PUBLIC 002745307CER INTNOTEATLASPUBL ARTICLE ConferencePaper