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Auteurs principaux: Brommer, Sebastian, von Cube, Ralf Florian, Giffels, Manuel, Hofsaess, Robin, Klute, Markus, Maier, Benedikt, Quishpe, Raquel, Schnepf, Matthias, Lavina, Luca Scotto, Valerius, Kathrin
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2501.03007
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author Brommer, Sebastian
von Cube, Ralf Florian
Giffels, Manuel
Hofsaess, Robin
Klute, Markus
Maier, Benedikt
Quishpe, Raquel
Schnepf, Matthias
Lavina, Luca Scotto
Valerius, Kathrin
author_facet Brommer, Sebastian
von Cube, Ralf Florian
Giffels, Manuel
Hofsaess, Robin
Klute, Markus
Maier, Benedikt
Quishpe, Raquel
Schnepf, Matthias
Lavina, Luca Scotto
Valerius, Kathrin
contents Scientific collaborations require a strong computing infrastructure to successfully process and analyze data. While large-scale collaborations have access to resources such as Analysis Facilities, small-scale collaborations often lack the resources to establish and maintain such an infrastructure and instead operate with fragmented analysis environments, resulting in inefficiencies, hindering reproducibility and thus creating additional challenges for the collaboration that are not related to the experiment itself. We present a scalable, lightweight and maintainable Analysis Facility developed for the DARWIN collaboration as an example study case. Grid computing and storage resources are integrated into the facility, allowing for distributed computing and a common entry point for storage. The authentication and authorization infrastructure for all services is token-based, using an Indigo IAM instance. We discuss the architecture of the facility, its provided services, the user experience, and how it can serve as a sustainable blueprint for small-scale collaborations.
format Preprint
id arxiv_https___arxiv_org_abs_2501_03007
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A lightweight analysis farm for fundamental physics experiments
Brommer, Sebastian
von Cube, Ralf Florian
Giffels, Manuel
Hofsaess, Robin
Klute, Markus
Maier, Benedikt
Quishpe, Raquel
Schnepf, Matthias
Lavina, Luca Scotto
Valerius, Kathrin
High Energy Physics - Experiment
Data Analysis, Statistics and Probability
Scientific collaborations require a strong computing infrastructure to successfully process and analyze data. While large-scale collaborations have access to resources such as Analysis Facilities, small-scale collaborations often lack the resources to establish and maintain such an infrastructure and instead operate with fragmented analysis environments, resulting in inefficiencies, hindering reproducibility and thus creating additional challenges for the collaboration that are not related to the experiment itself. We present a scalable, lightweight and maintainable Analysis Facility developed for the DARWIN collaboration as an example study case. Grid computing and storage resources are integrated into the facility, allowing for distributed computing and a common entry point for storage. The authentication and authorization infrastructure for all services is token-based, using an Indigo IAM instance. We discuss the architecture of the facility, its provided services, the user experience, and how it can serve as a sustainable blueprint for small-scale collaborations.
title A lightweight analysis farm for fundamental physics experiments
topic High Energy Physics - Experiment
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2501.03007