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The ATLAS trigger system for LHC Run 3 and trigger performance in 2022

  • The ATLAS collaboration
  • Aix-Marseille Université
  • University of Bergen
  • University of Oklahoma
  • University of Göttingen
  • TU Dortmund University
  • United States Department of Energy
  • Mohammed V University in Rabat
  • Tel Aviv University
  • Technion-Israel Institute of Technology
  • New York University
  • National Institute for Nuclear Physics
  • King's College London
  • University of Udine
  • Université Savoie Mont Blanc
  • AGH University of Krakow
  • Brandeis University
  • University of Manchester
  • Northern Illinois University
  • Istanbul University
  • Rutherford Appleton Laboratory
  • University of California at Santa Cruz
  • The University of Chicago
  • Institute for High Energy Physics
  • University of Pavia
  • Johannes Gutenberg University Mainz
  • Alexandru Ioan Cuza University of Iaşi
  • CERN
  • Azerbaijan National Academy of Sciences
  • McGill University
  • Royal Holloway University of London
  • Zhengzhou University
  • University of Rome Tor Vergata
  • University of Valencia
  • University of Hassan II Casablanca
  • Weizmann Institute of Science
  • Lund University
  • Waseda University
  • University of Bonn
  • Bogazici University
  • Columbia University
  • University of Victoria BC

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The ATLAS trigger system is a crucial component of the ATLAS experiment at the LHC. It is responsible for selecting events in line with the ATLAS physics programme. This paper presents an overview of the changes to the trigger and data acquisition system during the second long shutdown of the LHC, and shows the performance of the trigger system and its components in the proton-proton collisions during the 2022 commissioning period as well as its expected performance in proton-proton and heavy-ion collisions for the remainder of the third LHC data-taking period (2022–2025).

Original languageEnglish
Article numberP060229
JournalJournal of Instrumentation
Volume19
Issue number6
DOIs
StatePublished - Jun 1 2024

Keywords

  • Online farms and online filtering
  • Trigger algorithms
  • Trigger concepts and systems (hardware and software)
  • Trigger detectors

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