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Balazs Konya

Researcher, IT administrator

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Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC

Author

  • G. Aad
  • T.P.A. Åkesson
  • S. Astrand
  • C. Doglioni
  • P.A. Ekman
  • V. Hedberg
  • H. Herde
  • B. Konya
  • E. Lytken
  • R. Poettgen
  • O. Smirnova
  • E. J. Wallin
  • L. Zwalinski
Show all

Summary, in English

The high-luminosity phase of LHC operations (HL-LHC), will feature a large increase in simultaneous proton-proton interactions per bunch crossing up to 200, compared with a typical leveling target of 64 in Run 3. Such an increase will create a very challenging environment in which to perform charged particle trajectory reconstruction, a task crucial for the success of the ATLAS physics program, and will exceed the capabilities of the current ATLAS Inner Detector (ID). A new all-silicon Inner Tracker (ITk) will replace the current ID in time for the start of the HL-LHC. To ensure successful use of the ITk capabilities in Run 4 and beyond, the ATLAS tracking software has been successfully adapted to achieve state-of-the-art track reconstruction in challenging high-luminosity conditions with the ITk detector. This paper presents the expected tracking performance of the ATLAS ITk based on the latest available developments since the ITk technical design reports. © 2025 CERN for the benefit of the ATLAS collaboration.

Department/s

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

Publishing year

2025

Language

English

Publication/Series

Journal of Instrumentation

Volume

20

Issue

2

Document type

Article

Publisher

IOP Publishing

Topic

  • Subatomic Physics

Keywords

  • calibration
  • cluster finding
  • fitting methods
  • Gaseous imaging and tracking detectors
  • Particle tracking detectors (Solid-state detectors)
  • Pattern recognition
  • Vertexing algorithms
  • Electrons
  • Hadrons
  • Linear accelerators
  • Negative ions
  • Photons
  • Positive ions
  • Silicon detectors
  • Solid-state sensors
  • Cluster finding
  • Fitting method
  • Gaseous imaging detectors
  • Particle tracking
  • Particle tracking detector (solid-state detector)
  • Solid state detectors
  • Tracking detectors
  • Tracking performance
  • Vertexing algorithm
  • Particle detectors

Status

Published

ISBN/ISSN/Other

  • ISSN: 1748-0221