Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/103893
Title: Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at √ s = 13 TeV
Authors: Fiolhais, M. C. N. 
Veloso, F. 
Wolters, H. 
Gonçalo, R. 
ATLAS Collaboration
Issue Date: Jul-2021
Publisher: Springer Nature
metadata.degois.publication.title: European Physical Journal C
metadata.degois.publication.volume: 81
metadata.degois.publication.issue: 7
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.
URI: https://hdl.handle.net/10316/103893
DOI: 10.1140/epjc/s10052-021-09233-2
Rights: openAccess
Appears in Collections:FCTUC Física - Artigos em Revistas Internacionais

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