Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01228 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/epjconf/202533701228 | |
| Published online | 07 October 2025 | |
- B. Abi et al., Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I: Introduction to DUNE. arXiv:2002.03005 (2020). https://arxiv. org/abs/2002.03005 [Google Scholar]
- R. A. Illingworth, A data handling system for modern and future Fermilab experiments. J. Phys. Conf. Ser. 513, 032045 (2014). https://dx.doi.org/10.1088/1742-6596/513/3/032045 [Google Scholar]
- S. Abachi et al., The D0 Detector. Nucl. Instrum. Meth. A 338, 185–253 (1994). https://doi.org/10.1016/0168-9002(94)91312-9 [Google Scholar]
- F. Abe et al., The CDF Detector: An Overview. Nucl. Instrum. Meth. A 271, 387–403 (1988). https://doi.org/10.1016/0168-9002(88)90298-7 [Google Scholar]
- HTCondor – https://htcondor.org/ [Google Scholar]
- I. Sfiligoi, D. C. Bradley, B. Holzman, P. Mhashilkar, S. Padhi, F. Wurthwein, The Pilot Way to Grid Resources Using glideinWMS. Computer Science and Information Engineering, World Congress on 02, 428-432 (2009). https://doi.ieeecomputersociety.org/10.1109/CSIE.2009.950 [Google Scholar]
- M. Mengel, et al., Production Operations Management System (POMS) for Fermilab Experiments. EPJ Web Conf. 245, 03024 (2020). https://doi.org/10.1051/epjconf/202024503024 [Google Scholar]
- I. Mandrichenko, MetaCat - metadata catalog for data management systems. EPJ Web Conf. 251, 02048 (2021). https://doi.org/10.1051/epjconf/202125102048 [Google Scholar]
- M. Barisits et al., Rucio: Scientific Data Management. Comput. Softw. Big. Sci. 3, 11 (2019). https://doi.org/10.1007/s41781-019-0026-3 [Google Scholar]
- G. Aad et al., The ATLAS Experiment at the CERN Large Hadron Collider. JINST 3, S08003 (2008). https://doi.org/10.1088/1748-0221/3/08/S08003 [Google Scholar]
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