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Software and computing for Run 3 of the ATLAS experiment at the LHC

Aad, G. ; Åkesson, T.P.A. LU orcid ; Astrand, K.S.V. LU ; Doglioni, C. LU ; Ekman, P.A. LU orcid ; Hedberg, V. LU ; Herde, H. LU orcid ; Konya, B. LU ; Lytken, E. LU orcid and Poettgen, R. LU orcid , et al. (2025) In European Physical Journal C 85(3).
Abstract
The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management, database infrastructure, and validation. The use of these systems to prepare the data for physics analysis and assess its quality are described, along with the software tools used for data analysis itself. An outlook for the development of these projects towards Run 4 is also provided. © The Author(s) 2025.
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Contribution to journal
publication status
published
subject
keywords
Data quality, Distributed computer systems, Information management, ATLAS experiment, Distributed computing systems, Distributed data managements, Distributed workloads, Management database, Physics analysis, Software infrastructure, Software workflow, Software-tools, Workload management, Quality control
in
European Physical Journal C
volume
85
issue
3
article number
234
publisher
Springer Nature
external identifiers
  • scopus:105012444351
ISSN
1434-6044
DOI
10.1140/epjc/s10052-024-13701-w
language
English
LU publication?
yes
id
07e115b9-742f-4612-942f-1b5047c9eec1
date added to LUP
2026-03-19 15:08:55
date last changed
2026-09-05 23:46:19
@article{07e115b9-742f-4612-942f-1b5047c9eec1,
  abstract     = {{The ATLAS experiment has developed extensive software and distributed computing systems for Run 3 of the LHC. These systems are described in detail, including software infrastructure and workflows, distributed data and workload management, database infrastructure, and validation. The use of these systems to prepare the data for physics analysis and assess its quality are described, along with the software tools used for data analysis itself. An outlook for the development of these projects towards Run 4 is also provided. © The Author(s) 2025.}},
  author       = {{Aad, G. and Åkesson, T.P.A. and Astrand, K.S.V. and Doglioni, C. and Ekman, P.A. and Hedberg, V. and Herde, H. and Konya, B. and Lytken, E. and Poettgen, R. and Simpson, N.D. and Smirnova, O. and Wallin, E.J. and Zwalinski, L.}},
  issn         = {{1434-6044}},
  keywords     = {{Data quality; Distributed computer systems; Information management; ATLAS experiment; Distributed computing systems; Distributed data managements; Distributed workloads; Management database; Physics analysis; Software infrastructure; Software workflow; Software-tools; Workload management; Quality control}},
  language     = {{eng}},
  number       = {{3}},
  publisher    = {{Springer Nature}},
  series       = {{European Physical Journal C}},
  title        = {{Software and computing for Run 3 of the ATLAS experiment at the LHC}},
  url          = {{http://dx.doi.org/10.1140/epjc/s10052-024-13701-w}},
  doi          = {{10.1140/epjc/s10052-024-13701-w}},
  volume       = {{85}},
  year         = {{2025}},
}