Open Access
| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 07013 | |
| Number of page(s) | 8 | |
| Section | Facilities and Virtualization | |
| DOI | https://doi.org/10.1051/epjconf/202429507013 | |
| Published online | 06 May 2024 | |
- J. Billard, et al. Rept. Prog. Phys. 85, no.5, 056201 (2022) doi:10.1088/1361-6633/ac5754 [arXiv:2104.07634 [hep-ex]]. [CrossRef] [Google Scholar]
- Pallavicini, M. Solar neutrinos: experimental review and prospectives. Journal Of Physics: Conference Series. 598, 012007 (2015,3), https://dx.doi.org/10.1088/1742-6596/598/1/012007 [CrossRef] [Google Scholar]
- Amaro, F., et al. The CYGNO Experiment. Instruments. 6 (2022), https://doi.org/10.3390/instruments6010006 [Google Scholar]
- Sauli, F. GEM: A new concept for electron amplification in gas detectors. Nuclear Instruments And Methods In Physics Research Section A: Accelerators, Spectrometers, Detectors And Associated Equipment. 386, 531-534 (1997), https://doi.org/10.1016/S0168-9002(96)01172-2 [Google Scholar]
- Antochi, V., et al. A GEM-based optically readout time projection chamber for charged particle tracking. ArXiv. (2020) [Google Scholar]
- Mazzitelli, G., et al. Technical Design Report - TDR CYGNO-04/INITIUM. (2023,2), https://doi.org/10.15161/oar.it/76967 [Google Scholar]
- Mazzitelli, G., et al. D. 50 litres TPC with sCMOS-based optical readout for the CYGNO project. Nuclear Instruments And Methods In Physics Research Section A: Accelerators, Spectrometers, Detectors And Associated Equipment. 1045 pp. 167584 (2023), https://doi.org/10.1016/j.nima.2022.167584 [Google Scholar]
- Baracchini, E.„ et al. A density-based clustering algorithm for the CYGNO data analysis. Journal Of Instrumentation. 15, T12003 (2020,12), https://dx.doi.org/10.1088/1748-0221/15/12/T12003 [CrossRef] [Google Scholar]
- Amaro, F., et al. iDBSCAN to detect cosmic-ray tracks for the CYGNO experiment. Measurement Science And Technology. 34, 125024 (2023,9), https://dx.doi.org/10.1088/1361-6501/acf402 [CrossRef] [Google Scholar]
- Amaro, F., et al. Exploiting INFN-Cloud to implement a Cloud solution to support the CYGNO computing model. https://doi.org/10.22323/1.415.0021 [Google Scholar]
- INDIGO-DataCloud, Dynamic On Demand Analysis Service (DODAS), https://web.infn.it/dodas/ [Google Scholar]
- PSI & TRIUMF, MIDAS modern data acquisition, https://daq00.triumf.ca/MidasWiki/ [Google Scholar]
- Barisists M et al. Rucio: Scientific Data Management, https://link.springer.com/article/10.1007/s41781-019-0026-3 [Google Scholar]
- ICSC – Centro Nazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, https://www.supercomputing-icsc.it/ [Google Scholar]
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