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View of and from Lene Kristian's office window. The office mascot, a small pet pug, is sitting on top of a stack of books on the windowsill. Outside, there is a parking lot, trees and sky in the early dusk of a winter's day.

Lene Kristian Bryngemark

Researcher

View of and from Lene Kristian's office window. The office mascot, a small pet pug, is sitting on top of a stack of books on the windowsill. Outside, there is a parking lot, trees and sky in the early dusk of a winter's day.

Building a Distributed Computing System for LDMX : Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments

Author

  • Lene Kristian Bryngemark
  • David Cameron
  • Valentina Dutta
  • Thomas Eichlersmith
  • Balazs Konya
  • Omar Moreno
  • Geoffrey André Adrien Mullier
  • Florido Paganelli
  • Ruth Pöttgen
  • Fuzzy Rogers
  • Andrii Salnikov
  • Paul Weakliem

Summary, in English

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.

Department/s

  • Particle and nuclear physics
  • eSSENCE: The e-Science Collaboration

Publishing year

2021-08-23

Language

English

Publication/Series

EPJ Web of Conferences : 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)

Volume

251

Document type

Conference paper

Publisher

EDP Sciences

Topic

  • Subatomic Physics

Keywords

  • Distributed Computing
  • Accelerator Experiments
  • Light Dark Matter eXperiment

Conference name

International Conference on Computing in High-Energy and Nuclear Physics

Conference date

2021-05-17 - 2021-05-21

Status

Published

Project

  • The Light Dark Matter eXperiment