Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV

Journal article

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

Authors: Aad, G; Abbott, B; Abbott, DC; Abud, AA; Abeling, K

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: SpringerOpen
• Journal: The European Physical Journal C
• Volume: 81
• Issue: 7
• Pages: 578
• Article number: 578
• Publication date: 2021-07-05
• DOI: 10.1140/epjc/s10052-021-09233-2
• EISSN: 1434-6052
• ISSN: 1434-6044
• Language: English
• Keywords: Luminosity; Mathematics; Atlas (anatomy); Muon; Vertex (graph theory); Combinatorics; Collision; Physics; Particle physics; Nuclear physics; Computer science; ATLAS experiment; Large Hadron Collider; Astrophysics