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Oxana Smirnova

Oxana Smirnova

Senior Lecturer, Deputy Head of division

Oxana Smirnova

Performance of the ATLAS Transition Radiation Tracker in Run 1 of the LHC: Tracker properties

Author

  • M Aaboud
  • G Aad
  • B. Abbott
  • J Abdallah
  • O Abdinov
  • B Abeloos
  • Torsten Åkesson
  • Simona Bocchetta
  • LENE BRYNGEMARK
  • Caterina Doglioni
  • Vincent Hedberg
  • Göran Jarlskog
  • Charles Kalderon
  • Else Lytken
  • Ulf Mjörnmark
  • Oxana Smirnova
  • Oleksandr Viazlo
Show all

Summary, in English

The tracking performance parameters of the ATLAS Transition Radiation Tracker (TRT) as part of the ATLAS inner detector are described in this paper for different data-taking conditions in proton-proton, proton-lead and lead-lead collisions at the Large Hadron Collider (LHC). The performance is studied using data collected during the first period of LHC operation (Run 1) and is compared with Monte Carlo simulations. The performance of the TRT, operating with two different gas mixtures (xenon-based and argon-based) and its dependence on the TRT occupancy is presented. These studies show that the tracking performance of the TRT is similar for the two gas mixtures and that a significant contribution to the particle momentum resolution is made by the TRT up to high particle densities. © CERN 2017 for the benefit of the ATLAS collaboration.

Department/s

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

Publishing year

2017

Language

English

Publication/Series

Journal of Instrumentation

Volume

12

Issue

5

Document type

Journal article

Publisher

IOP Publishing

Topic

  • Subatomic Physics

Keywords

  • Particle tracking detectors (Gaseous detectors)
  • Transition radiation detectors
  • Argon
  • Gas mixtures
  • Gases
  • Monte Carlo methods
  • Xenon
  • Gaseous detectors
  • Large Hadron collider LHC
  • Particle densities
  • Particle momentum
  • Tracking performance
  • Transition radiation trackers
  • Two-gas mixtures
  • Radiation detectors

Status

Published

ISBN/ISSN/Other

  • ISSN: 1748-0221