Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01155 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701155 | |
| Published online | 07 October 2025 | |
- F. Gargano (HERD), The High Energy cosmic-Radiation Detection (HERD) facility on board the Chinese Space Station: hunting for high-energy cosmic rays. PoS ICRC2021, 026 (2022). https://doi.org/10.22323/1.395.0026 [Google Scholar]
- Y. Dong, et al. (HERD), Overall Status of the High Energy Cosmic Radiation Detection Facility Onboard the Future China’s Space Station. PoS ICRC2019, 062 (2020). https://doi.org/10.22323/1.358.0062 [Google Scholar]
- X. Liu, et al. (HERD), Double read-out system for the calorimeter of the HERD experiment. PoS ICRC2023, 097 (2023). https://doi.org/10.22323/1.444.0097 [Google Scholar]
- I. Antcheva, M. Ballintijn, et al. ROOT: A C++ framework for petabyte data storage, statistical analysis and visualization. Comput. Phys. Commun. 180, 2499-2512 (2009). https://doi.org/10.1016/j.cpc.2009.08.005 [Google Scholar]
- S. Agostinelli, et al. (Geant4), GEANT4–a simulation toolkit. Nucl. Instrum. Meth. A 506, 250-303 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8 [CrossRef] [Google Scholar]
- Robison, D. Arch, Encyclopedia of Parallel Computing (Springer US, Boston, MA, 2011) 955-964 [Google Scholar]
- G. Ganis, C. Helsens, et al. (Key4hep), Key4hep, a framework for future HEP experiments and its use in FCC. Eur. Phys. J. Plus 137, 149 (2022). https://doi.org/10.1140/epjp/s13360-021-02213-1 [CrossRef] [Google Scholar]
- F. Gaede, et al. (Key4hep), EDM4hep and podio - The event data model of the Key4hep project and its implementation. EPJ Web Conf. 251, 03026 (2021). https://doi.org/10.1051/epjconf/202125103026 [Google Scholar]
- F. Gaede, M. Frank, et al., DD4hep a community driven detector description for HEP. EPJ Web Conf. 245, 02004 (2020). https://doi.org/10.1051/epjconf/202024502004 [Google Scholar]
- J.H. Zou, X.T. Huang, et al., SNiPER: an offline software framework for non-collider physics experiments. Journal of Physics: Conference Series 664, 072053 (2015) https://doi.org/10.1088/1742-6596/664/7/072053 [Google Scholar]
- X.T. Huang, T. Li, et al. (JUNO), Offline Data Processing Software for the JUNO Experiment. PoS ICHEP2016, 1051 (2017) https://doi.org/10.22323/1.282.1051 [Google Scholar]
- Z. Cao, (LHAASO), A future project at Tibet: The large high altitude air shower observatory (LHAASO). Chin. Phys. C 34, 249-252 (2010) https://doi.org/10.1088/1674-1137/34/2/018 [Google Scholar]
- X.C. Ai, X.T. Huang, T. Li, B.B. Qi and X.S. Qin. Design and development of STCF offline software. Modern Physics Letters A. 39(40):2440006 (2024) https://doi.org/10.1142/S0217732324400066 [Google Scholar]
- J.H. Zou, T. Lin, et al. The Event Buffer Management for MT-SNiPER. EPJ Web Conf. 214, 05026 (2019) https://doi.org/10.1051/epjconf/201921405026 [Google Scholar]
- Fernandez Declara, Placido and Gaede, Frank and Ganis, et al. Of Frames and schema evolution – The newest features of podio. (2023) https://arxiv.org/abs/2312.08199 [Google Scholar]
- Q.Q. Shi, T. Li, X.T. Huang. Parallelized Event Data Management System Based on MT-SNiPER Framework and PODIO. Computing and Software for Big Science 9(3) (2025) https://doi.org/10.1007/s41781-025-00131-w [Google Scholar]
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