Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector

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 km<sup>3</sup> 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.

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Publication Details

Published
2025-09-24
DOI
https://doi.org/10.22323/1.501.1073
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
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article

Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector

C. Karagiannis, Leonidas Kalousis, V. Tsourapis, E. Drakopoulou et al.
Astrophysics and Cosmic Phenomena
article

Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector

C. Karagiannis, Leonidas Kalousis, V. Tsourapis, E. Drakopoulou, E. Tzamariudaki
article en

Abstract

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 km<sup>3</sup> 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.

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Astrophysics and Cosmic Phenomena
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