Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector
- NázevTitle
- Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detectorDiffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector
- Druh výsledkuResult type
- Příspěvek ve sborníkuProceedings paper
- AutořiAuthors
- A.B. Bouasla, R. Attallah, O. Adriani, A. Albert, Z. Beňušová, E. Eckerová, Ľ. Krupa, F. Mamedov, M. Petropavlova, Y. Shitov, I. Štekl
- DOIDOI
- 10.22323/1.501.1073
- Časopis / citaceJournal / citation
- In: 39th International Cosmic Ray Conference (ICRC2025). Trieste: PoS - Proceedings of Science, Sissa Medialab srl, 2025. p. 1-11. vol. 501. ISSN 1824-8039.
- JazykLanguage
- eng
- ScopusScopus
- 2-s2.0-105029031774
- RIVRIV
- RIV/68407700:21670/25:00389243!RIV26-MSM-21670___
- ProjektProject
- LSM-CZ III - Podzemní laboratoř LSM - účast České republiky - LM2023063 (2023–2026)LSM-CZ III - Podzemní laboratoř LSM - účast České republiky - LM2023063 (2023–2026); Laboratoire Souterrain de Modane - účast ČRLaboratoire Souterrain de Modane – participation of the Czech Republic
AbstraktAbstract
The KM3NeT research infrastructure comprises two submarine Cherenkov neutrino telescopes at two corresponding abyssal sites in the Mediterranean Sea. KM3NeT/ARCA is being built off Portopalo di Capo Passero, Sicily, Italy, at a depth of 3500 m. While collecting data already in a partial configuration, KM3NeT/ARCA aims at a volume of 1 km3 instrumented with a three-dimensional array of thousands of optical modules, whose geometric arrangement is optimised for the measurement of high energy neutrinos (> TeV) from astrophysical sources. In this contribution, the expectations of KM3NeT/ARCA for the detection of the diffuse flux of astrophysical neutrinos are presented. The analysis is performed using Monte Carlo simulated events assuming a complete detector configuration. Machine learning techniques are used for event selection, while for statistical analysis both a Bayesian and a frequentist method are employed.
The KM3NeT research infrastructure comprises two submarine Cherenkov neutrino telescopes at two corresponding abyssal sites in the Mediterranean Sea. KM3NeT/ARCA is being built off Portopalo di Capo Passero, Sicily, Italy, at a depth of 3500 m. While collecting data already in a partial configuration, KM3NeT/ARCA aims at a volume of 1 km3 instrumented with a three-dimensional array of thousands of optical modules, whose geometric arrangement is optimised for the measurement of high energy neutrinos (> TeV) from astrophysical sources. In this contribution, the expectations of KM3NeT/ARCA for the detection of the diffuse flux of astrophysical neutrinos are presented. The analysis is performed using Monte Carlo simulated events assuming a complete detector configuration. Machine learning techniques are used for event selection, while for statistical analysis both a Bayesian and a frequentist method are employed.