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Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV
dc.contributor.author | Aad, G. | |
dc.contributor.author | Aguilar Saavedra, Juan Antonio | |
dc.contributor.author | Atlas Collaboration | |
dc.date.accessioned | 2021-10-01T07:18:38Z | |
dc.date.available | 2021-10-01T07:18:38Z | |
dc.date.issued | 2021-07-05 | |
dc.identifier.citation | ATLAS Collaboration... [et al.]. Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at \sqrt{s}=13 TeV. Eur. Phys. J. C 81, 578 (2021). [https://doi.org/10.1140/epjc/s10052-021-09233-2] | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/70566 | |
dc.description | We thankCERNfor the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. 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 CEADRF/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 andMIZS, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC andWallenberg 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 PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [51]. | es_ES |
dc.description.abstract | This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of pp collision data at √ s = 13 TeV collected between 2015 and 2018 during Run 2 of the LHC. The increased instantaneous luminosity delivered by the LHC over this period required a reoptimisation of the criteria for the identification of prompt muons. Improved and newly developed algorithms were deployed to preserve high muon identification efficiency with a low misidentification rate and good momentum resolution. The availability of large samples of Z → μμ and J/ψ → μμ decays, and the minimisation of systematic uncertainties, allows the efficiencies of criteria for muon identification, primary vertex association, and isolation to be measured with an accuracy at the per-mille level in the bulk of the phase space, and up to the percent level in complex kinematic configurations. Excellent performance is achieved over a range of transverse momenta from 3 GeV to several hundred GeV, and across the full muon detector acceptance of |η| < 2.7. | es_ES |
dc.description.sponsorship | ANPCyT | es_ES |
dc.description.sponsorship | YerPhI, Armenia | es_ES |
dc.description.sponsorship | Australian Research Council | es_ES |
dc.description.sponsorship | BMWFW, Austria Austrian Science Fund (FWF) | es_ES |
dc.description.sponsorship | Azerbaijan National Academy of Sciences (ANAS) | es_ES |
dc.description.sponsorship | SSTC, Belarus | es_ES |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) | es_ES |
dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada (NSERC) NRC, Canada Canada Foundation for Innovation | es_ES |
dc.description.sponsorship | CERN | es_ES |
dc.description.sponsorship | ANID, Chile | es_ES |
dc.description.sponsorship | Chinese Academy of Sciences Ministry of Science and Technology, China National Natural Science Foundation of China (NSFC) | es_ES |
dc.description.sponsorship | Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias | es_ES |
dc.description.sponsorship | Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government Czech Republic Government | es_ES |
dc.description.sponsorship | DNRF, Denmark Danish Natural Science Research Council | es_ES |
dc.description.sponsorship | Centre National de la Recherche Scientifique (CNRS) CEADRF/IRFU, France | es_ES |
dc.description.sponsorship | SRNSFG, Georgia | es_ES |
dc.description.sponsorship | Federal Ministry of Education & Research (BMBF) | es_ES |
dc.description.sponsorship | HGF, Germany | es_ES |
dc.description.sponsorship | Max Planck Society | es_ES |
dc.description.sponsorship | Greek Ministry of Development-GSRT | es_ES |
dc.description.sponsorship | RGC, China Hong Kong SAR, China | es_ES |
dc.description.sponsorship | Israel Science Foundation Benoziyo Center, Israel | es_ES |
dc.description.sponsorship | Istituto Nazionale di Fisica Nucleare (INFN) | es_ES |
dc.description.sponsorship | Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) | es_ES |
dc.description.sponsorship | Japan Society for the Promotion of Science | es_ES |
dc.description.sponsorship | CNRST, Morocco | es_ES |
dc.description.sponsorship | Netherlands Organization for Scientific Research (NWO) Netherlands Government | es_ES |
dc.description.sponsorship | RCN, Norway | es_ES |
dc.description.sponsorship | Ministry of Science and Higher Education, Poland NCN, Poland | es_ES |
dc.description.sponsorship | Portuguese Foundation for Science and Technology European Commission | es_ES |
dc.description.sponsorship | MNE/IFA, Romania | es_ES |
dc.description.sponsorship | JINR | es_ES |
dc.description.sponsorship | MES of Russia NRC KI, Russian Federation | es_ES |
dc.description.sponsorship | Ministry of Education, Science & Technological Development, Serbia | es_ES |
dc.description.sponsorship | MSSR, Slovakia | es_ES |
dc.description.sponsorship | Slovenian Research Agency - Slovenia MIZS, Slovenia | es_ES |
dc.description.sponsorship | DST/NRF, South Africa | es_ES |
dc.description.sponsorship | Spanish Government | es_ES |
dc.description.sponsorship | SRC, Sweden Wallenberg Foundation, Sweden | es_ES |
dc.description.sponsorship | SERI, Switzerland Swiss National Science Foundation (SNSF) Canton of Bern, Switzerland Canton of Geneva, Switzerland | es_ES |
dc.description.sponsorship | Ministry of Science and Technology, Taiwan | es_ES |
dc.description.sponsorship | Ministry of Energy & Natural Resources - Turkey | es_ES |
dc.description.sponsorship | UK Research & Innovation (UKRI) | es_ES |
dc.description.sponsorship | Science & Technology Facilities Council (STFC) | es_ES |
dc.description.sponsorship | United States Department of Energy (DOE) National Science Foundation (NSF) | es_ES |
dc.description.sponsorship | BCKDF, Canada CANARIE, Canada Compute Canada, Canada CRC, Canada IVADO, Canada | es_ES |
dc.description.sponsorship | Beijing Municipal Science & Technology Commission | es_ES |
dc.description.sponsorship | COST, European Union European Research Council (ERC) ERDF, European Union Horizon 2020, European Union Marie Sklodowska-Curie Actions, European Union | es_ES |
dc.description.sponsorship | French National Research Agency (ANR) | es_ES |
dc.description.sponsorship | German Research Foundation (DFG) Alexander von Humboldt Foundation | es_ES |
dc.description.sponsorship | Herakleitos programme - EU-ESF Thales Group Aristeia programme - EU-ESF Greek NSRF, Greece | es_ES |
dc.description.sponsorship | BSF-NSF, Israel | es_ES |
dc.description.sponsorship | German-Israeli Foundation for Scientific Research and Development | es_ES |
dc.description.sponsorship | La Caixa Banking Foundation, Spain CERCA Programme Generalitat de Catalunya, Spain GenT Programme Generalitat Valenciana, Spain PROMETEO Programme Generalitat Valenciana, Spain | es_ES |
dc.description.sponsorship | Goran Gustafssons Stiftelse, Sweden | es_ES |
dc.description.sponsorship | Royal Society of London | es_ES |
dc.description.sponsorship | Leverhulme Trust | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.title | Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1140/epjc/s10052-021-09233-2 | |
dc.type.hasVersion | VoR | es_ES |
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