Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC
(2025) In Journal of Instrumentation 20(2).- Abstract
- 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... (More)
- 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. (Less)
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- author
- author collaboration
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- 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
- in
- Journal of Instrumentation
- volume
- 20
- issue
- 2
- article number
- P02018
- publisher
- IOP Publishing
- external identifiers
-
- scopus:105001207995
- ISSN
- 1748-0221
- DOI
- 10.1088/1748-0221/20/02/P02018
- language
- English
- LU publication?
- yes
- id
- 8700cae6-d514-4603-a678-1050106ac4ad
- date added to LUP
- 2026-03-06 09:29:15
- date last changed
- 2026-03-06 09:29:50
@article{8700cae6-d514-4603-a678-1050106ac4ad,
abstract = {{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.}},
author = {{Aad, G. and Åkesson, T.P.A. and Astrand, S. and Doglioni, C. and Ekman, P.A. and Hedberg, V. and Herde, H. and Konya, B. and Lytken, E. and Poettgen, R. and Smirnova, O. and Wallin, E. J. and Zwalinski, L.}},
issn = {{1748-0221}},
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}},
language = {{eng}},
number = {{2}},
publisher = {{IOP Publishing}},
series = {{Journal of Instrumentation}},
title = {{Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC}},
url = {{http://dx.doi.org/10.1088/1748-0221/20/02/P02018}},
doi = {{10.1088/1748-0221/20/02/P02018}},
volume = {{20}},
year = {{2025}},
}
