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Oxana Smirnova

Oxana Smirnova

Senior Lecturer, Deputy Head of division

Oxana Smirnova

Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at √s=13 TeV

Author

  • Aaboud M.
  • T. Åkesson
  • S. Bocchetta
  • L. Bryngemark
  • E. Corrigan
  • C. Doglioni
  • K. Gregersen
  • E. Hansen
  • V. Hedberg
  • G. Jarlskog
  • C. Kalderon
  • E. Kellermann
  • B. Konya
  • E. Lytken
  • K. Mankinen
  • C. Marcon
  • J. Mjörnmark
  • G. Mullier
  • R. Poettgen
  • T. Poulsen
  • O. Smirnova
  • Zwalinski L.

Summary, in English

Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these algorithms are used in ATLAS physics analyses that involve electrons in the final state and which are based on the 2015 and 2016 proton–proton collision data produced by the LHC at s = 13 TeV. The performance of the electron reconstruction, identification, isolation, and charge identification algorithms is evaluated in data and in simulated samples using electrons from Z→ ee and J/ ψ→ ee decays. Typical examples of combinations of electron reconstruction, identification, and isolation operating points used in ATLAS physics analyses are shown. © 2019, CERN for the benefit of the ATLAS collaboration.

Department/s

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

Publishing year

2019

Language

English

Publication/Series

European Physical Journal C

Volume

79

Issue

8

Document type

Journal article

Publisher

Springer

Topic

  • Subatomic Physics

Status

Published

ISBN/ISSN/Other

  • ISSN: 1434-6044