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dc.contributor.authorAad, G.
dc.contributor.authorAguilar Saavedra, Juan Antonio 
dc.contributor.authorAtlas Collaboration
dc.date.accessioned2021-10-01T07:18:38Z
dc.date.available2021-10-01T07:18:38Z
dc.date.issued2021-07-05
dc.identifier.citationATLAS 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.urihttp://hdl.handle.net/10481/70566
dc.descriptionWe 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.abstractThis 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.sponsorshipANPCyTes_ES
dc.description.sponsorshipYerPhI, Armeniaes_ES
dc.description.sponsorshipAustralian Research Counciles_ES
dc.description.sponsorshipBMWFW, Austria Austrian Science Fund (FWF)es_ES
dc.description.sponsorshipAzerbaijan National Academy of Sciences (ANAS)es_ES
dc.description.sponsorshipSSTC, Belaruses_ES
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)es_ES
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC) NRC, Canada Canada Foundation for Innovationes_ES
dc.description.sponsorshipCERNes_ES
dc.description.sponsorshipANID, Chilees_ES
dc.description.sponsorshipChinese Academy of Sciences Ministry of Science and Technology, China National Natural Science Foundation of China (NSFC)es_ES
dc.description.sponsorshipDepartamento Administrativo de Ciencia, Tecnologia e Innovacion Colcienciases_ES
dc.description.sponsorshipMinistry of Education, Youth & Sports - Czech Republic Czech Republic Government Czech Republic Governmentes_ES
dc.description.sponsorshipDNRF, Denmark Danish Natural Science Research Counciles_ES
dc.description.sponsorshipCentre National de la Recherche Scientifique (CNRS) CEADRF/IRFU, Francees_ES
dc.description.sponsorshipSRNSFG, Georgiaes_ES
dc.description.sponsorshipFederal Ministry of Education & Research (BMBF)es_ES
dc.description.sponsorshipHGF, Germanyes_ES
dc.description.sponsorshipMax Planck Societyes_ES
dc.description.sponsorshipGreek Ministry of Development-GSRTes_ES
dc.description.sponsorshipRGC, China Hong Kong SAR, Chinaes_ES
dc.description.sponsorshipIsrael Science Foundation Benoziyo Center, Israeles_ES
dc.description.sponsorshipIstituto Nazionale di Fisica Nucleare (INFN)es_ES
dc.description.sponsorshipMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)es_ES
dc.description.sponsorshipJapan Society for the Promotion of Sciencees_ES
dc.description.sponsorshipCNRST, Moroccoes_ES
dc.description.sponsorshipNetherlands Organization for Scientific Research (NWO) Netherlands Governmentes_ES
dc.description.sponsorshipRCN, Norwayes_ES
dc.description.sponsorshipMinistry of Science and Higher Education, Poland NCN, Polandes_ES
dc.description.sponsorshipPortuguese Foundation for Science and Technology European Commissiones_ES
dc.description.sponsorshipMNE/IFA, Romaniaes_ES
dc.description.sponsorshipJINRes_ES
dc.description.sponsorshipMES of Russia NRC KI, Russian Federationes_ES
dc.description.sponsorshipMinistry of Education, Science & Technological Development, Serbiaes_ES
dc.description.sponsorshipMSSR, Slovakiaes_ES
dc.description.sponsorshipSlovenian Research Agency - Slovenia MIZS, Sloveniaes_ES
dc.description.sponsorshipDST/NRF, South Africaes_ES
dc.description.sponsorshipSpanish Governmentes_ES
dc.description.sponsorshipSRC, Sweden Wallenberg Foundation, Swedenes_ES
dc.description.sponsorshipSERI, Switzerland Swiss National Science Foundation (SNSF) Canton of Bern, Switzerland Canton of Geneva, Switzerlandes_ES
dc.description.sponsorshipMinistry of Science and Technology, Taiwanes_ES
dc.description.sponsorshipMinistry of Energy & Natural Resources - Turkeyes_ES
dc.description.sponsorshipUK Research & Innovation (UKRI)es_ES
dc.description.sponsorshipScience & Technology Facilities Council (STFC)es_ES
dc.description.sponsorshipUnited States Department of Energy (DOE) National Science Foundation (NSF)es_ES
dc.description.sponsorshipBCKDF, Canada CANARIE, Canada Compute Canada, Canada CRC, Canada IVADO, Canadaes_ES
dc.description.sponsorshipBeijing Municipal Science & Technology Commissiones_ES
dc.description.sponsorshipCOST, European Union European Research Council (ERC) ERDF, European Union Horizon 2020, European Union Marie Sklodowska-Curie Actions, European Uniones_ES
dc.description.sponsorshipFrench National Research Agency (ANR)es_ES
dc.description.sponsorshipGerman Research Foundation (DFG) Alexander von Humboldt Foundationes_ES
dc.description.sponsorshipHerakleitos programme - EU-ESF Thales Group Aristeia programme - EU-ESF Greek NSRF, Greecees_ES
dc.description.sponsorshipBSF-NSF, Israeles_ES
dc.description.sponsorshipGerman-Israeli Foundation for Scientific Research and Developmentes_ES
dc.description.sponsorshipLa Caixa Banking Foundation, Spain CERCA Programme Generalitat de Catalunya, Spain GenT Programme Generalitat Valenciana, Spain PROMETEO Programme Generalitat Valenciana, Spaines_ES
dc.description.sponsorshipGoran Gustafssons Stiftelse, Swedenes_ES
dc.description.sponsorshipRoyal Society of Londones_ES
dc.description.sponsorshipLeverhulme Trustes_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleMuon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeVes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1140/epjc/s10052-021-09233-2
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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