Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131828
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Type: Journal article
Title: Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √s=13 TeV
Other Titles: Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at root s=13 TeV
Author: Aad, G.
Abbott, B.
Abbott, D.C.
Abud, A.A.
Abeling, K.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Achkar, B.
Adam, L.
Bourdarios, C.A.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adiguzel, A.
et al.
Citation: European Physical Journal C: Particles and Fields, 2021; 81(7):578-1-578-44
Publisher: Società Italiana di Fisica
Issue Date: 2021
ISSN: 1124-1861
1434-6052
Statement of
Responsibility: 
G. Aad, B. Abbott, D. C. Abbott ... Paul Jackson ... Harish Potti ... Martin White ... et al.
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.
Rights: © 2021, CERN for the benefit of the ATLAS collaboration. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
DOI: 10.1140/epjc/s10052-021-09233-2
Published version: http://dx.doi.org/10.1140/epjc/s10052-021-09233-2
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