The ATLAS Fast TracKer system

Detalhes bibliográficos
Autor(a) principal: Onofre, A.
Data de Publicação: 2021
Outros Autores: Castro, Nuno Filipe, ATLAS Collaboration
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/87717
Resumo: The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited η–ϕ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation.
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spelling The ATLAS Fast TracKer systemModular electronicsOnline farms and online filteringPattern recognition, cluster finding, calibration and fitting methodsTrigger concepts and systems (hardware and software)Calibration and fitting methodsCluster findingPattern recognitionCiências Naturais::Ciências FísicasScience & TechnologyThe ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited η–ϕ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation.We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada; Beijing Municipal Science & Technology Commission, China; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROME-TEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom.info:eu-repo/semantics/publishedVersionIOP PublishingUniversidade do MinhoOnofre, A.Castro, Nuno FilipeATLAS Collaboration20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/87717engThe, A. c., Aad, G., Abbott, B., Abbott, D. C., Abed Abud, A., Abeling, K., . . . Zwalinski, L. (2021). The ATLAS Fast TracKer system. Journal of Instrumentation, 16(07), P07006. doi: 10.1088/1748-0221/16/07/p070061748-022110.1088/1748-0221/16/07/P07006https://iopscience.iop.org/article/10.1088/1748-0221/16/07/P07006info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-06T01:27:38Zoai:repositorium.sdum.uminho.pt:1822/87717Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:30:20.392066Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The ATLAS Fast TracKer system
title The ATLAS Fast TracKer system
spellingShingle The ATLAS Fast TracKer system
Onofre, A.
Modular electronics
Online farms and online filtering
Pattern recognition, cluster finding, calibration and fitting methods
Trigger concepts and systems (hardware and software)
Calibration and fitting methods
Cluster finding
Pattern recognition
Ciências Naturais::Ciências Físicas
Science & Technology
title_short The ATLAS Fast TracKer system
title_full The ATLAS Fast TracKer system
title_fullStr The ATLAS Fast TracKer system
title_full_unstemmed The ATLAS Fast TracKer system
title_sort The ATLAS Fast TracKer system
author Onofre, A.
author_facet Onofre, A.
Castro, Nuno Filipe
ATLAS Collaboration
author_role author
author2 Castro, Nuno Filipe
ATLAS Collaboration
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Onofre, A.
Castro, Nuno Filipe
ATLAS Collaboration
dc.subject.por.fl_str_mv Modular electronics
Online farms and online filtering
Pattern recognition, cluster finding, calibration and fitting methods
Trigger concepts and systems (hardware and software)
Calibration and fitting methods
Cluster finding
Pattern recognition
Ciências Naturais::Ciências Físicas
Science & Technology
topic Modular electronics
Online farms and online filtering
Pattern recognition, cluster finding, calibration and fitting methods
Trigger concepts and systems (hardware and software)
Calibration and fitting methods
Cluster finding
Pattern recognition
Ciências Naturais::Ciências Físicas
Science & Technology
description The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited η–ϕ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/87717
url https://hdl.handle.net/1822/87717
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv The, A. c., Aad, G., Abbott, B., Abbott, D. C., Abed Abud, A., Abeling, K., . . . Zwalinski, L. (2021). The ATLAS Fast TracKer system. Journal of Instrumentation, 16(07), P07006. doi: 10.1088/1748-0221/16/07/p07006
1748-0221
10.1088/1748-0221/16/07/P07006
https://iopscience.iop.org/article/10.1088/1748-0221/16/07/P07006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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