Software Performance of the ATLAS Track Reconstruction for LHC Run 3

Basit Öğe Kaydı
dc.contributor.authorAad, G.
dc.contributor.authorAbbott, B.
dc.contributor.authorAbeling, K.
dc.contributor.authorAbicht, N.J.
dc.contributor.authorAbidi, S.H.
dc.contributor.authorAboulhorma, A.
dc.contributor.authorÇetin, Serkant Ali
dc.date.accessioned2024-05-19T14:34:27Z
dc.date.available2024-05-19T14:34:27Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractCharged particle reconstruction in the presence of many simultaneous proton–proton (pp) collisions in the LHC is a challenging task for the ATLAS experiment’s reconstruction software due to the combinatorial complexity. This paper describes the major changes made to adapt the software to reconstruct high-activity collisions with an average of 50 or more simultaneous pp interactions per bunch crossing (pile-up) promptly using the available computing resources. The performance of the key components of the track reconstruction chain and its dependence on pile-up are evaluated, and the improvement achieved compared to the previous software version is quantified. For events with an average of 60pp collisions per bunch crossing, the updated track reconstruction is twice as fast as the previous version, without significant reduction in reconstruction efficiency and while reducing the rate of combinatorial fake tracks by more than a factor two. © The Author(s) 2024.en_US
dc.description.sponsorshipAgence Nationale de la Recherche, ANR; Australian Research Council, ARC; Centre National pour la Recherche Scientifique et Technique, CNRST; Fundação para a Ciência e a Tecnologia, FCT; Narodowe Centrum Nauki, NCN; National Science Foundation, NSF; Science and Technology Facilities Council, STFC; H2020 Marie Sk?odowska-Curie Actions, MSCA; Japan Society for the Promotion of Science, JSPS; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministerio de Ciencia e Innovación, MCIN; Ministry of Science and Technology, Taiwan, MOST; Israel Science Foundation, ISF; Leverhulme Trust; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Generalitat de Catalunya; Instituto Nazionale di Fisica Nucleare, INFN; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FWF; Narodowa Agencja Wymiany Akademickiej, NAWA; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Canada Foundation for Innovation, CFI; Helmholtz-Gemeinschaft, HGF; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Canarie; Göran Gustafssons Stiftelser; Deutsche Forschungsgemeinschaft, DFG; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; U.S. Department of Energy, USDOE; European Cooperation in Science and Technology, COST; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; Institutul de Fizic? Atomic?, IFA; Natural Sciences and Engineering Research Council of Canada, NSERC; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Irish Rugby Football Union, IRFU; Chinese Academy of Sciences, CAS; Defence Science Institute, DSI; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Compute Canada; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Minerva Foundation; European Research Council, ERC; National Research Foundation, NRF; Royal Society of South Australia, RSSA; European Regional Development Fund, ERDF; CERN; Ministerstvo Školství, Mláde?e a T?lov?chovy, MŠMT; National Research Council Canada, NRC; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; Horizon 2020; British Columbia Knowledge Development Fund, BCKDF; Ministry of Education, Culture, Sports, Science and Technology, MEXT; National Natural Science Foundation of China, NSFC; IN2P3-CNRS; Cooperative Research Centres, Australian Government Department of Industry, CRC: 21/SCI/017; Cooperative Research Centres, Australian Government Department of Industry, CRC; SCI/013; 2014-2021en_US
dc.description.sponsorshipWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Türkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020 and Marie Sk?odowska-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 MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom.en_US
dc.identifier.doi10.1007/s41781-023-00111-y
dc.identifier.issn2510-2044
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85189516943en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s41781-023-00111-y
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4491
dc.identifier.volume8en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofComputing and Software for Big Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.titleSoftware Performance of the ATLAS Track Reconstruction for LHC Run 3en_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu