Muon reconstruction and identification efficiency in ATLAS using the full Run 2 𝒑 𝒑 collision data set at √ 𝒔 = 13 TeV

ATLAS Collaboration, Paul Newman

Research output: Contribution to journalArticlepeer-review

139 Downloads (Pure)

Abstract

This article documents the muon reconstruction and identification efficiency obtained by the ATLAS experiment for 139 fb−1 of 𝑝 𝑝 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.
Original languageEnglish
Article number578
Number of pages44
JournalEur. Phys. J. C
Volume81
Issue number7
DOIs
Publication statusPublished - 5 Jul 2021

Bibliographical note

60 pages in total, author list starting page 44, 23 figures, 3 tables. Submitted to journal EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/MUON-2018-03/

Keywords

  • hep-ex

Fingerprint

Dive into the research topics of 'Muon reconstruction and identification efficiency in ATLAS using the full Run 2 𝒑 𝒑 collision data set at √ 𝒔 = 13 TeV'. Together they form a unique fingerprint.

Cite this