@misc{10481/70566,
year = {2021},
month = {7},
url = {http://hdl.handle.net/10481/70566},
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.},
organization = {ANPCyT},
organization = {YerPhI, Armenia},
organization = {Australian Research Council},
organization = {BMWFW, Austria		
Austrian Science Fund (FWF)},
organization = {Azerbaijan National Academy of Sciences (ANAS)},
organization = {SSTC, Belarus},
organization = {Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)		
Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)},
organization = {Natural Sciences and Engineering Research Council of Canada (NSERC)		
NRC, Canada		
Canada Foundation for Innovation},
organization = {CERN},
organization = {ANID, Chile},
organization = {Chinese Academy of Sciences		
Ministry of Science and Technology, China		
National Natural Science Foundation of China (NSFC)},
organization = {Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias},
organization = {Ministry of Education, Youth & Sports - Czech Republic
Czech Republic Government		
Czech Republic Government},
organization = {DNRF, Denmark		
Danish Natural Science Research Council},
organization = {Centre National de la Recherche Scientifique (CNRS)		
CEADRF/IRFU, France},
organization = {SRNSFG, Georgia},
organization = {Federal Ministry of Education & Research (BMBF)},
organization = {HGF, Germany},
organization = {Max Planck Society},
organization = {Greek Ministry of Development-GSRT},
organization = {RGC, China		
Hong Kong SAR, China},
organization = {Israel Science Foundation		
Benoziyo Center, Israel},
organization = {Istituto Nazionale di Fisica Nucleare (INFN)},
organization = {Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)		
Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)},
organization = {Japan Society for the Promotion of Science},
organization = {CNRST, Morocco},
organization = {Netherlands Organization for Scientific Research (NWO)
Netherlands Government},
organization = {RCN, Norway},
organization = {Ministry of Science and Higher Education, Poland		
NCN, Poland},
organization = {Portuguese Foundation for Science and Technology
European Commission},
organization = {MNE/IFA, Romania},
organization = {JINR},
organization = {MES of Russia		
NRC KI, Russian Federation},
organization = {Ministry of Education, Science & Technological Development, Serbia},
organization = {MSSR, Slovakia},
organization = {Slovenian Research Agency - Slovenia		
MIZS, Slovenia},
organization = {DST/NRF, South Africa},
organization = {Spanish Government},
organization = {SRC, Sweden		
Wallenberg Foundation, Sweden},
organization = {SERI, Switzerland		
Swiss National Science Foundation (SNSF)		
Canton of Bern, Switzerland		
Canton of Geneva, Switzerland},
organization = {Ministry of Science and Technology, Taiwan},
organization = {Ministry of Energy & Natural Resources - Turkey},
organization = {UK Research & Innovation (UKRI)},
organization = {Science & Technology Facilities Council (STFC)},
organization = {United States Department of Energy (DOE)		
National Science Foundation (NSF)},
organization = {BCKDF, Canada		
CANARIE, Canada		
Compute Canada, Canada		
CRC, Canada		
IVADO, Canada},
organization = {Beijing Municipal Science & Technology Commission},
organization = {COST, European Union		
European Research Council (ERC)		
ERDF, European Union		
Horizon 2020, European Union		
Marie Sklodowska-Curie Actions, European Union},
organization = {French National Research Agency (ANR)},
organization = {German Research Foundation (DFG)		
Alexander von Humboldt Foundation},
organization = {Herakleitos programme - EU-ESF		
Thales Group		
Aristeia programme - EU-ESF		
Greek NSRF, Greece},
organization = {BSF-NSF, Israel},
organization = {German-Israeli Foundation for Scientific Research and Development},
organization = {La Caixa Banking Foundation, Spain		
CERCA Programme Generalitat de Catalunya, Spain		
GenT Programme Generalitat Valenciana, Spain		
PROMETEO Programme Generalitat Valenciana, Spain},
organization = {Goran Gustafssons Stiftelse, Sweden},
organization = {Royal Society of London},
organization = {Leverhulme Trust},
publisher = {Springer},
title = {Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV},
doi = {10.1140/epjc/s10052-021-09233-2},
author = {Aad, G. and Aguilar Saavedra, Juan Antonio and Atlas Collaboration},
}