Software and computing for Run 3 of the ATLAS experiment at the LHC
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/07e115b9-742f-4612-942f-1b5047c9eec1
- author
- author collaboration
- organization
- publishing date
- 2025
- type
- 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}},
}
