| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01232 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701232 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701232
The Real-Time Data Workflow of The LUX-ZEPLIN Dark Matter Experiment at NERSC
1 SLAC National Accelerator Laboratory, Menlo Park, California, USA
2 Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, California, USA
3 Lawrence Berkeley National Laboratory, Berkeley, California, USA
4 University College London (UCL), Department of Physics and Astronomy, London, UK
* e-mail: amaris@slac.stanford.edu
** e-mail: monzani@slac.stanford.edu
Published online: 7 October 2025
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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