| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01046 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701046 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701046
Management of the data processing & Run-by-Run simulations in KM3NeT
1 Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Catania, 95125 Catania, Italy
2 Nikhef, National Institute for Subatomic Physics, 41882 Amsterdam, Netherlands
3 Istituto Nazionale di Fisica Nucleare (INFN), Laboratori Nazionali del Sud, 95123 Catania, Italy
4 University of Salerno, Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Napoli (Salerno related group), 84084 Fisciano, Italy
5 Laboratoire de Physique Corpusculaire de Caen (LPC Caen), 14000 Caen, France
6 AstroParticule et Cosmologie (APC) - Université Paris Cité, 75013 Paris, France
* e-mail: anna.sinopoulou@ct.infn.it, affiliation at the time of writing3
Published online: 7 October 2025
The KM3NeT collaboration is constructing two underwater neutrino detectors in the Mediterranean Sea: ARCA, optimized for the observation of astrophysical neutrinos, and ORCA, designed to determine the neutrino mass hierarchy by detecting atmospheric neutrinos. As the detector configurations are growing and, thus, the amount of recorded data is increasing, efficient data quality and data processing management are essential. Data reconstruction and Monte Carlo simulations are performed in conjunction for each data-taking period (run). A Run-by-Run simulation approach is used to reproduce the seawater environmental conditions and possible variations, as well as the acquisition settings for each run, improving processing performance and analysis reliability. To meet computing requirements for portability, reproducibility, and scalability, KM3NeT has adopted Snakemake, a modern workflow management system that streamlines and automates complex data processing tasks while ensuring flexibility and efficiency across different computational environments. This workflow was successfully employed in recent KM3NeT analyses, including the first observation of an ultra-high-energy cosmic neutrino, published in Nature on February 12, 2025.
© 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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