Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8137
Title: Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at <mml:msqrt>s</mml:msqrt>=13 TeV
Authors: Aad, G.
Abbott, B.
Abbott, D. C.
Abud, A. Abed
Abeling, K.
Abhayasinghe, D. K.
Sultansoy, Saleh
The ATLAS Collaboration
Keywords: Parton Distributions
Issue Date: 2021
Publisher: Springer
Abstract: 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.
URI: https://doi.org/10.1140/epjc/s10052-021-09233-2
https://hdl.handle.net/20.500.11851/8137
ISSN: 1434-6044
1434-6052
Appears in Collections:Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü / Department of Material Science & Nanotechnology Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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