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Göran Jarlskog

Göran Jarlskog

Professor emeritus

Göran Jarlskog

Electron and photon performance measurements with the ATLAS detector using the 2015-2017 LHC proton-proton collision data

Author

  • Aad G.
  • 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
  • E. Skorda
  • O. Smirnova
  • Zwalinski L.

Summary, in English

This paper describes the reconstruction of electrons and photons with the ATLAS detector, employed for measurements and searches exploiting the complete LHC Run 2 dataset. An improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail. Corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies, and the measurement of the charge of reconstructed electron candidates are determined using up to 81 fb-1 of proton-proton collision data collected at √s = 13 TeV between 2015 and 2017. © 2019 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab.

Department/s

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

Publishing year

2019

Language

English

Publication/Series

Journal of Instrumentation

Volume

14

Issue

12

Document type

Journal article

Publisher

IOP Publishing

Topic

  • Subatomic Physics

Keywords

  • Particle identification methods
  • Performance of high energy physics detectors
  • Clustering algorithms
  • Photons
  • Tellurium compounds
  • ATLAS detectors
  • Energy calibration
  • High energy physics detector
  • Isolation efficiencies
  • Particle Identification Method
  • Performance measurements
  • Proton proton collisions
  • Electrons

Status

Published

ISBN/ISSN/Other

  • ISSN: 1748-0221