Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV
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Springer
Date
2021-07-05Referencia bibliográfica
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]
Sponsorship
ANPCyT; YerPhI, Armenia; Australian Research Council; BMWFW, Austria Austrian Science Fund (FWF); Azerbaijan National Academy of Sciences (ANAS); SSTC, Belarus; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); Natural Sciences and Engineering Research Council of Canada (NSERC) NRC, Canada Canada Foundation for Innovation; CERN; ANID, Chile; Chinese Academy of Sciences Ministry of Science and Technology, China National Natural Science Foundation of China (NSFC); Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government Czech Republic Government; DNRF, Denmark Danish Natural Science Research Council; Centre National de la Recherche Scientifique (CNRS) CEADRF/IRFU, France; SRNSFG, Georgia; Federal Ministry of Education & Research (BMBF); HGF, Germany; Max Planck Society; Greek Ministry of Development-GSRT; RGC, China Hong Kong SAR, China; Israel Science Foundation Benoziyo Center, Israel; Istituto Nazionale di Fisica Nucleare (INFN); Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT); Japan Society for the Promotion of Science; CNRST, Morocco; Netherlands Organization for Scientific Research (NWO) Netherlands Government; RCN, Norway; Ministry of Science and Higher Education, Poland NCN, Poland; Portuguese Foundation for Science and Technology European Commission; MNE/IFA, Romania; JINR; MES of Russia NRC KI, Russian Federation; Ministry of Education, Science & Technological Development, Serbia; MSSR, Slovakia; Slovenian Research Agency - Slovenia MIZS, Slovenia; DST/NRF, South Africa; Spanish Government; SRC, Sweden Wallenberg Foundation, Sweden; SERI, Switzerland Swiss National Science Foundation (SNSF) Canton of Bern, Switzerland Canton of Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC); United States Department of Energy (DOE) National Science Foundation (NSF); BCKDF, Canada CANARIE, Canada Compute Canada, Canada CRC, Canada IVADO, Canada; Beijing Municipal Science & Technology Commission; COST, European Union European Research Council (ERC) ERDF, European Union Horizon 2020, European Union Marie Sklodowska-Curie Actions, European Union; French National Research Agency (ANR); German Research Foundation (DFG) Alexander von Humboldt Foundation; Herakleitos programme - EU-ESF Thales Group Aristeia programme - EU-ESF Greek NSRF, Greece; BSF-NSF, Israel; German-Israeli Foundation for Scientific Research and Development; La Caixa Banking Foundation, Spain CERCA Programme Generalitat de Catalunya, Spain GenT Programme Generalitat Valenciana, Spain PROMETEO Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society of London; Leverhulme TrustAbstract
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.