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ATLAS data quality operations and performance for 2015-2018 data-taking

  • The 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
  • The University of Tokyo
  • Johannes Gutenberg University Mainz
  • Université Grenoble Alpes
  • AGH University of Krakow
  • Northern Illinois University
  • Ludwig Maximilian University of Munich
  • Bogazici 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
  • NOVA University Lisbon
  • 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

Research output: Contribution to journalReview articlepeer-review

186 Scopus citations

Abstract

The ATLAS detector at the Large Hadron Collider reads out particle collision data from over 100 million electronic channels at a rate of approximately 100 kHz, with a recording rate for physics events of approximately 1 kHz. Before being certified for physics analysis at computer centres worldwide, the data must be scrutinised to ensure they are clean from any hardware or software related issues that may compromise their integrity. Prompt identification of these issues permits fast action to investigate, correct and potentially prevent future such problems that could render the data unusable. This is achieved through the monitoring of detector-level quantities and reconstructed collision event characteristics at key stages of the data processing chain. This paper presents the monitoring and assessment procedures in place at ATLAS during 2015-2018 data-taking. Through the continuous improvement of operational procedures, ATLAS achieved a high data quality efficiency, with 95.6% of the recorded proton-proton collision data collected at s=13 TeV certified for physics analysis.

Original languageEnglish
Article numberP04003
JournalJournal of Instrumentation
Volume15
Issue number4
DOIs
StatePublished - Apr 2020

Keywords

  • Large detector systems for particle and astroparticle physics
  • Large detector-systems performance

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