Open Access
| 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 | |
- S. Adrián-Martínez et al., “Letter of intent for KM3NeT 2.0,” J. Phys. G: Nucl. Part. Phys. 43, 084001 (2016), https://doi.org/10.1088/0954-3899/43/8/084001. [Google Scholar]
- S. Aiello et al., “The KM3NeT multi-PMT optical module,” J. Instrum. 17, P07038 (2022), https://doi.org/10.1088/1748-0221/17/07/P07038. [Google Scholar]
- KM3NeT Collaboration, S. Aiello, A. Albert et al., “Astronomy potential of KM3NeT/ARCA,” Eur. Phys. J. C 84, 885 (2024), https://doi.org/10.1140/epjc/s10052-024-13137-2. [CrossRef] [Google Scholar]
- G. Carminati, M. Bazzotti, S. Biagi et al., “MUPAGE: A fast atmospheric muon generator for neutrino telescopes based on parametric formulas,” arXiv preprint (2009), https://arxiv.org/abs/0907.5563. [Google Scholar]
- S. Aiello et al., “gSeaGen: The KM3NeT GENIE-based code for neutrino telescopes,” Comput. Phys. Commun. 256, 107477 (2020), https://doi.org/10.1016/j.cpc.2020.107477. [Google Scholar]
- Y. Becherini, A. Margiotta, M. Sioli, M. Spurio, “A parameterisation of single and multiple muons in the deep water or ice,” Astropart. Phys. 25, 1–13 (2006), https://doi.org/10.1016/j.astropartphys.2005.10.005. [Google Scholar]
- CERN, “GEANT program manual,” CERN Program Library W5013 (1993). [Google Scholar]
- A.G. Tsirigotis, A. Leisos, S.E. Tzamarias, “HOU Reconstruction & Simulation (HOURS): A complete simulation and reconstruction package for very large volume underwater neutrino telescopes,” Nucl. Instrum. Meth. A 626-627, S185-S187 (2011), https://doi.org/10.1016/j.nima.2010.06.258. [Google Scholar]
- M. de Jong, E. van Campenhout, “The probability density function of the arrival time of Cˇ erenkov light,” arXiv preprint (2023), https://arxiv.org/abs/2305.19626. [Google Scholar]
- A. Albert et al., “Monte Carlo simulations for the ANTARES underwater neutrino telescope,” J. Cosmol. Astropart. Phys. 2021, 064 (2021), https://doi.org/10.1088/1475-7516/2021/01/064. [Google Scholar]
- A. Tsaregorodtsev et al., “DIRAC: A community grid solution,” J. Phys.: Conf. Ser. 119, 062048 (2008), https://doi.org/10.1088/1742-6596/119/6/062048. [CrossRef] [Google Scholar]
- Kurtzer GM, Sochat V, Bauer MW (2017) Singularity: Scientific containers for mobility of compute. PLoS ONE 12(5): e0177459. https://doi.org/10.1371/journal.pone.0177459 [CrossRef] [PubMed] [Google Scholar]
- KM3NeT Collaboration. KM3NeT GitLab Repositories. GitLab, https://git.km3net.de. [Google Scholar]
- F. Mölder, K.P. Jablonski, B. Letcher et al., “Sustainable data analysis with Snakemake,” F1000Research 10, 33 (2021), https://doi.org/10.12688/f1000research.29032.1. [Google Scholar]
- J. Koester, “Snakemake 8.19.0 Documentation,” (2014-2024), https://snakemake. readthedocs.io/en/stable/. [Google Scholar]
- CERN, “The CVMFS system,” https://cernvm.cern.ch/fs/. [Google Scholar]
- Integrated Rule-Oriented Data System (iRODS) Documentation, https://docs.irods.org/4.3.3/. [Google Scholar]
- Apptainer Team, “The Apptainer software,” https://apptainer.org/docs/admin/main/index.html. [Google Scholar]
- S. Aiello et al. (The KM3NeT Collaboration), “Observation of an ultra-high-energy cosmic neutrino with KM3NeT,” Nature 638, 376 (2025), https://doi.org/10.1038/s41586-024-08543-1. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.