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

  • ATLAS Collaboration
  • Aix-Marseille Université
  • University of Oklahoma
  • University of Massachusetts
  • CERN
  • University of Göttingen
  • Royal Holloway University of London
  • University of Toronto
  • University of Copenhagen
  • University of Sussex
  • Tel Aviv University
  • Technion-Israel Institute of Technology
  • Argonne National Laboratory
  • National Institute for Nuclear Physics
  • Abdus Salam International Centre for Theoretical Physics
  • King's College London
  • Johannes Gutenberg University Mainz
  • Université Savoie Mont Blanc
  • AGH University of Krakow
  • Northern Illinois University
  • Bogazici University
  • Istanbul University
  • University of Geneva
  • Rutherford Appleton Laboratory
  • University of California at Santa Cruz
  • Université Paris-Saclay
  • Université Clermont Auvergne
  • Radboud University Nijmegen
  • Alexandru Ioan Cuza University of Iaşi
  • Laboratório de Instrumentação e Física Experimental de Partículas
  • University of Granada
  • IFT-UAM/CSIC
  • Joint Institute for Nuclear Research
  • McGill University
  • Lawrence Berkeley National Laboratory
  • University of Rome Tor Vergata
  • Kyoto University
  • Lund University
  • P.N. Lebedev Physical Institute of the Russian Academy of Sciences
  • University of Bologna
  • University of Victoria BC
  • Horia Hulubei National Institute of Physics and Nuclear Engineering
  • National Technical University of Athens
  • University of Amsterdam
  • IThemba Labs
  • University of the Philippines
  • Department of Physics
  • University of South Africa
  • Cadi Ayyad University
  • Moroccan Foundation for Advanced Science Innovation and Research (MAScIR)
  • Dep Física and CEFITEC of Faculdade de Ciências e Tecnologia
  • NOVA University Lisbon
  • University of Oklahoma
  • University of Massachusetts
  • CERN
  • Royal Holloway University of London
  • University of Toronto
  • Tel Aviv University
  • National Institute for Nuclear Physics
  • Abdus Salam International Centre for Theoretical Physics
  • King's College London
  • Johannes Gutenberg University Mainz
  • Northern Illinois University
  • Rutherford Appleton Laboratory
  • University of California at Santa Cruz
  • Université Clermont Auvergne
  • Alexandru Ioan Cuza University of Iaşi
  • Laboratório de Instrumentação e Física Experimental de Partículas
  • Joint Institute for Nuclear Research
  • McGill University
  • Lawrence Berkeley National Laboratory
  • University of Rome Tor Vergata
  • Lund University
  • P.N. Lebedev Physical Institute of the Russian Academy of Sciences
  • University of Bologna
  • University of Victoria BC
  • Department of Physics
  • University of South Africa
  • Cadi Ayyad University
  • Dep Física and CEFITEC of Faculdade de Ciências e Tecnologia

Research output: Contribution to journalArticlepeer-review

304 Scopus citations

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.

Original languageEnglish
Article number578
JournalEuropean Physical Journal C
Volume81
Issue number7
DOIs
StatePublished - Jul 2021

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