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



Aad, G, Abbott, B, Abbott, DC, Abud, A Abed, Abeling, K, Abhayasinghe, DK, Abidi, SH, AbouZeid, OS, Abraham, NL, Abramowicz, H
et al (show 2925 more authors) (2021) Muon reconstruction and identification efficiency in ATLAS using the full Run 2 <i>pp</i> collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV. EUROPEAN PHYSICAL JOURNAL C, 81 (7). 578-.

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Abstract

This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb$^{-1}$ of $pp$ collision data at $\sqrt{s}=13$ 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 $Z\to\mu\mu$ and $J/\psi\to\mu\mu$ 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 $|\eta|<2.7$.

Item Type: Article
Additional Information: 64 pages in total, author list starting page 42, auxiliary material starting at page 59, 34 figures, 3 tables. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/MUON-2018-03/
Uncontrolled Keywords: hep-ex, hep-ex
Divisions: Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 05 Aug 2021 14:49
Last Modified: 06 Oct 2023 09:07
DOI: 10.1140/epjc/s10052-021-09233-2
Open Access URL: https://link.springer.com/article/10.1140%2Fepjc%2...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3132492