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Performance of b-jet identification in the ATLAS experiment

  • ATLAS Collaboration
  • iThemba Labs
  • 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
  • CERN
  • Aix-Marseille Université
  • University of Oklahoma
  • Academia Sinica - Institute of Physics
  • Azerbaijan National Academy of Sciences
  • University of Amsterdam
  • Michigan State University
  • University of Toronto
  • Tel Aviv University
  • Technion-Israel Institute of Technology
  • Stockholm University
  • Oskar Klein Centre
  • National Institute for Nuclear Physics
  • Abdus Salam International Centre for Theoretical Physics
  • King's College London
  • AGH University of Krakow
  • Brookhaven National Laboratory
  • Northern Illinois University
  • Ludwig Maximilian University of Munich
  • Rutherford Appleton Laboratory
  • University of Liverpool
  • University of Belgrade
  • Laboratório de Instrumentaão e Física Experimental de Partículas - LIP
  • University of Granada
  • Boston University
  • Joint Institute for Nuclear Research
  • University of Rome Tor Vergata
  • Lund University
  • The University of Tokyo
  • P.N. Lebedev Physical Institute of the Russian Academy of Sciences
  • University of Bologna
  • University of Victoria BC
  • Université Grenoble Alpes
  • Instituto de Física La Plata
  • Horia Hulubei National Institute of Physics and Nuclear Engineering
  • National Technical University of Athens
  • University of Milan
  • The University of Chicago
  • Columbia University
  • University of Birmingham

Research output: Contribution to journalReview articlepeer-review

227 Scopus citations

Abstract

The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty.

Original languageEnglish
Article numberP04008
JournalJournal of Instrumentation
Volume11
Issue number4
DOIs
StatePublished - Apr 4 2016

Keywords

  • Large detector systems for particle and astroparticle physics
  • Large detector-systems performance
  • Pattern recognition, cluster finding, calibration and fitting methods
  • Performance of High Energy Physics Detectors

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