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Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV

NázevTitle
Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeVMuon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV
Druh výsledkuResult type
Článek v časopiseJournal article
AutořiAuthors
G. Aad, B. Abbott, D. C. Abbott, A. Abud, B. Ali, K. Augsten, B. Bergmann, T. Billoud, M. Havránek, Z. Hubáček, M. Myška, V. Petousis, S. Pospíšil, K. Smolek, A. Sopczak, V. Vacek, P. Vokáč, V. Vrba
DOIDOI
10.1140/epjc/s10052-021-09233-2
Časopis / citaceJournal / citation
European Physical Journal C. 2021, 81(7), ISSN 1434-6044.
RokYear
2021
JazykLanguage
eng
WoSWoS
000680861900001
ScopusScopus
2-s2.0-85129832684
RIVRIV
RIV/68407700:21220/21:00355194!RIV22-MSM-21220___
ProjektProject
Získávání nových poznatků o mikrosvětě v infrastruktuře CERNAcquiring new pieces of knowledge about micro-world in CERN research infrastructure; CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022)CERN-CZ II - Výzkumná infrastruktura pro experimenty v CERN - LM2018104 (2020–2022); Centrum pokročilých aplikovaných přírodních vědCenter for advanced applied sciences

AbstraktAbstract

This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb-1 of pp collision data at <mml:msqrt>s</mml:msqrt>=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 -> mu mu and J/psi -> mu mu 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 |eta|<2.7.

This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb-1 of pp collision data at <mml:msqrt>s</mml:msqrt>=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 -> mu mu and J/psi -> mu mu 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 |eta|<2.7.