The Real-Time Data Workflow of The LUX-ZEPLIN Dark Matter Experiment at NERSC

LUX-ZEPLIN (LZ) is a dark matter direct detection experiment using a dual-phase xenon time projection chamber with a 7-tonne active volume. The success of the LZ experiment relies on the robust design of its hardware and software infrastructures, including a complex data workflow. This proceeding will give an overview of the data workflow implemented at NERSC, using its flagship HPC machine, Perlmutter, which facilitates the automated real-time movement, processing, and cataloging of vast amounts of LZ data. The workflow utilizes management and monitoring tools to ensure seamless operation. Furthermore, it was successfully adopted for large-scale simulation production at NERSC, demonstrating its scalability.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701232
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article en

Abstract

LUX-ZEPLIN (LZ) is a dark matter direct detection experiment using a dual-phase xenon time projection chamber with a 7-tonne active volume. The success of the LZ experiment relies on the robust design of its hardware and software infrastructures, including a complex data workflow. This proceeding will give an overview of the data workflow implemented at NERSC, using its flagship HPC machine, Perlmutter, which facilitates the automated real-time movement, processing, and cataloging of vast amounts of LZ data. The workflow utilizes management and monitoring tools to ensure seamless operation. Furthermore, it was successfully adopted for large-scale simulation production at NERSC, demonstrating its scalability.

EPJ Web of ConferencesVol. 337
Lawrence Berkeley National Laboratory (US), SLAC National Accelerator Laboratory (US), Kavli Institute for Particle Astrophysics and Cosmology (US), The London College (GB), University College London (GB)
National Science Foundation, U.S. Department of Energy, Brown University, South Dakota State University, University of South Dakota, UK Research and Innovation, Australian Government, Imperial College London, University College London, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Universität Zürich, Institute for Basic Science, Office of Science, Science and Technology Facilities Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 87%
Dark Matter and Cosmic Phenomena
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