Computing activities at the Spanish Tier-1 & Tier-2s for the ATLAS Experiment in the LHC Run-3 period and towards High Luminosity

This contribution showcases the Spanish Tier-1 and Tier-2s’ contribution to the computing of the ATLAS experiment at the LHC during the Run-3 period. The Tier-1 and Tier-2 Grid infrastructures, encompassing data storage, processing, and involvement in software development and computing tasks for the experiment, will undergo updates to enhance efficiency and visibility within the experiment. Central to our efforts is to engage actively with the various challenges inherent in research and development, in preparation for the upcoming, more intricate phase represented by the High-Luminosity LHC (HL-LHC). In tackling these issues, we capitalize on National High Performance Computers like MareNostrum, part of the Supercomputing Spanish Network. A new activity in this work is the development and implementation of what we call the “Facility for Interactive Distributed Analysis”. This initiative aims to facilitate data analysis work for physicists at Spanish centres (IFIC, UAM, and IFAE) by orchestrating the distributed nature of initial analysis phases with subsequent interactive phases involving reduced data files. The ultimate goal is to reduce the time to produce publishable physics results or contributions tailored for workshops and conferences. The ATLAS Tier-1 and Tier-2 sites in Spain have contributed and will continue to contribute significantly to research and development in computing.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701098/pdf
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Computing activities at the Spanish Tier-1 & Tier-2s for the ATLAS Experiment in the LHC Run-3 period and towards High Luminosity

María Elena Navarro, Carles Acosta‐Silva, José Enrique García Navarro, Vanesa Acin et al.
Springer Link (Chiba Institute of Technology)
Distributed and Parallel Computing Systems
article

Computing activities at the Spanish Tier-1 & Tier-2s for the ATLAS Experiment in the LHC Run-3 period and towards High Luminosity

María Elena Navarro, Carles Acosta‐Silva, José Enrique García Navarro, Vanesa Acin, J. Martinez, Elena Planas Teruel, Marc Santamaría Riba, Roberto Uzum, José Flix Molina, Andreu Pacheco Pages, Emma Torro Pastor, Josu Cantero, Pablo Collado Soto, Jose Salt, Esther Acción García, Santiago González de la Hoz, Jose del Peso, Miguel Villaplana Pérez
article en

Abstract

This contribution showcases the Spanish Tier-1 and Tier-2s’ contribution to the computing of the ATLAS experiment at the LHC during the Run-3 period. The Tier-1 and Tier-2 Grid infrastructures, encompassing data storage, processing, and involvement in software development and computing tasks for the experiment, will undergo updates to enhance efficiency and visibility within the experiment. Central to our efforts is to engage actively with the various challenges inherent in research and development, in preparation for the upcoming, more intricate phase represented by the High-Luminosity LHC (HL-LHC). In tackling these issues, we capitalize on National High Performance Computers like MareNostrum, part of the Supercomputing Spanish Network. A new activity in this work is the development and implementation of what we call the “Facility for Interactive Distributed Analysis”. This initiative aims to facilitate data analysis work for physicists at Spanish centres (IFIC, UAM, and IFAE) by orchestrating the distributed nature of initial analysis phases with subsequent interactive phases involving reduced data files. The ultimate goal is to reduce the time to produce publishable physics results or contributions tailored for workshops and conferences. The ATLAS Tier-1 and Tier-2 sites in Spain have contributed and will continue to contribute significantly to research and development in computing.

Springer Link (Chiba Institute of Technology)
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Openalex Percentile: Top 27%
Distributed and Parallel Computing Systems
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