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Improving topological cluster reconstruction using calorimeter cell timing in ATLAS

  • ATLAS Collaboration
  • Faculty of Physics
  • University of Bucharest
  • iThemba Labs
  • Department of Physics
  • University of South Africa
  • University of Zululand
  • Cadi Ayyad University
  • School of Physics and Microelectronics
  • Zhengzhou University
  • New York University Abu Dhabi
  • Departamento de Física Teórica y del Cosmos
  • University of Granada
  • CERN
  • Columbia University
  • Demokritos National Centre for Scientific Research
  • University of Sheffield
  • Harvard University
  • University of Bologna
  • National Institute for Nuclear Physics
  • University of Belgrade
  • University of Siegen
  • Heidelberg University 
  • CAS - Institute of High Energy Physics
  • University of Science and Technology of China
  • Shanghai Jiao Tong University
  • University of Michigan, Ann Arbor
  • Shandong University
  • University of Arizona
  • University of Illinois at Urbana-Champaign
  • SLAC National Accelerator Laboratory
  • Nanjing University
  • University of California at Santa Cruz
  • University of Washington
  • Université Paris-Saclay
  • Lawrence Berkeley National Laboratory
  • University College London
  • CNRS
  • The University of Tokyo
  • Southern Methodist University
  • University of Wisconsin-Madison
  • University of Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Clusters of topologically connected calorimeter cells around cells with large absolute signal-to-noise ratio (topo-clusters) are the basis for calorimeter signal reconstruction in the ATLAS experiment. Topological cell clustering has proven performant in LHC Runs 1 and 2. It is, however, susceptible to out-of-time pile-up of signals from soft collisions outside the 25 ns proton-bunch-crossing window associated with the event’s hard collision. To reduce this effect, a calorimeter-cell timing criterion was added to the signal-to-noise ratio requirement in the clustering algorithm. Multiple versions of this criterion were tested by reconstructing hadronic signals in simulated events and Run 2 ATLAS data. The preferred version is found to reduce the out-of-time pile-up jet multiplicity by ∼50% for jet pT∼20 GeV and by ∼80% for jet pT≳50 GeV, while not disrupting the reconstruction of hadronic signals of interest, and improving the jet energy resolution by up to 5% for 20<pT<30 GeV. Pile-up is also suppressed for other physics objects based on topo-clusters (electrons, photons, τ-leptons), reducing the overall event size on disk by about 6% in early Run 3 pile-up conditions. Offline reconstruction for Run 3 includes the timing requirement.

Original languageEnglish
Article number455
JournalEuropean Physical Journal C
Volume84
Issue number5
DOIs
StatePublished - May 2024

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