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Abstract
Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration.
The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility.
This paper outlines the chosen lightweight distributed solution, presenting requirements, the component integration steps, and the experiences using a pilot system for tests with large-scale simulations. The system leverages existing technologies wherever possible, minimizing the need for software development, and deploys only non-intrusive components at the participating sites. The pilot proved that integrating existing components can dramatically reduce the effort needed to build and operate a distributed e-infrastructure, making it attainable even for smaller research collaborations.
The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility.
This paper outlines the chosen lightweight distributed solution, presenting requirements, the component integration steps, and the experiences using a pilot system for tests with large-scale simulations. The system leverages existing technologies wherever possible, minimizing the need for software development, and deploys only non-intrusive components at the participating sites. The pilot proved that integrating existing components can dramatically reduce the effort needed to build and operate a distributed e-infrastructure, making it attainable even for smaller research collaborations.
Original language | English |
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Title of host publication | EPJ Web of Conferences |
Subtitle of host publication | 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021) |
Publisher | EDP Sciences |
Number of pages | 10 |
Volume | 251 |
DOIs | |
Publication status | Published - 2021 Aug 23 |
Event | International Conference on Computing in High-Energy and Nuclear Physics - virtual Duration: 2021 May 17 → 2021 May 21 Conference number: 25 https://indico.cern.ch/event/948465/ |
Conference
Conference | International Conference on Computing in High-Energy and Nuclear Physics |
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Abbreviated title | CHEP |
Period | 2021/05/17 → 2021/05/21 |
Internet address |
Subject classification (UKÄ)
- Subatomic Physics
Free keywords
- Distributed Computing
- Accelerator Experiments
- Light Dark Matter eXperiment
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