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Balazs Konya

Researcher

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

Author

  • G. Aad
  • T.P.A. Åkesson
  • S.S. Bocchetta
  • E.E. Corrigan
  • C. Doglioni
  • J. Geisen
  • K. Gregersen
  • E. Hansen
  • V. Hedberg
  • G. Jarlskog
  • E. Kellermann
  • B. Konya
  • E. Lytken
  • K.H. Mankinen
  • C. Marcon
  • J.U. Mjörnmark
  • G.A. Mullier
  • R. Poettgen
  • T. Poulsen
  • E. Skorda
  • O. Smirnova
  • L. Zwalinski

Summary, in English

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. © 2021, CERN for the benefit of the ATLAS collaboration.

Department/s

  • Particle and nuclear physics
  • eSSENCE: The e-Science Collaboration

Publishing year

2021

Language

English

Publication/Series

European Physical Journal C

Volume

81

Issue

7

Document type

Journal article

Publisher

Springer

Topic

  • Subatomic Physics

Status

Published

ISBN/ISSN/Other

  • ISSN: 1434-6044