| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01176 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701176 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701176
Keep-up Production in JUNO’s Offline Data Processing
1 Institute of High Energy Physics,Chinese Academy of Sciences
2 University of Chinese Academy of Sciences
* e-mail: yinwq@ihep.ac.cn
** e-mail: lintao@ihep.ac.cn
*** e-mail: zhangyz@ihep.ac.cn
Published online: 7 October 2025
The Jiangmen Underground Neutrino Observatory (JUNO) is a cutting-edge scientific experiment designed to address fundamental questions in neutrino physics, including the determination of the neutrino mass ordering and precision measurements of neutrino oscillation parameters. To support the massive data processing requirements of JUNO, we have developed the Keep Up Production (KUP) pipeline, a robust and scalable system for managing the offline data processing workflow. This paper presents the architecture, design, and implementation of the KUP pipeline, highlighting its key components, including job management, data visualization, and the use of modern web technologies. We also discuss the challenges posed by the complexity and volume of data, and how the KUP pipeline addresses these challenges through automation, modularity, and real-time monitoring.
© The Authors, published by EDP Sciences, 2025
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