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Software and Computing for Run 3 of the ATLAS Experiment at the LHC

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Bibliographic Details
Title: Software and Computing for Run 3 of the ATLAS Experiment at the LHC
Authors: Zimine, N. I., Zormpa, Olga, Zou, W., Zoccoli, Antonio, Zoch, Knut, Zwalinski, Lukasz, Zorbas, T. G.
Publisher Information: Springer Nature
Publication Year: 2025
Subject Terms: Distributed Data Managements, Distributed Computing Systems, ATLAS Experiment, Information Management, Data Quality, Quality Control, Workload Management, Software-Tools, Software Workflow, Software Infrastructure, Physics Analysis, Management Database, Distributed Workloads, Distributed Computer Systems
Description: 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. © 2025 Elsevier B.V., All rights reserved.
Document Type: article in journal/newspaper
Language: English
Relation: European Physical Journal C; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.11851/12693; 85; Q1
DOI: 10.1140/epjc/s10052-024-13701-w
Availability: https://hdl.handle.net/20.500.11851/12693
https://doi.org/10.1140/epjc/s10052-024-13701-w
Rights: open
Accession Number: edsbas.678E6BAD
Database: BASE
Description
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. © 2025 Elsevier B.V., All rights reserved.
DOI:10.1140/epjc/s10052-024-13701-w