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

KM3NeT Collaboration

doi:10.22323/1.501.1073

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

KM3NeT Collaboration

Physics

Badji Mokhtar University
University of Florence
National Institute for Nuclear Physics
Université de Strasbourg
Université de Haute-Alsace
Khalifa University of Science and Technology
Aix-Marseille Université
University of Valencia
University of Rome La Sapienza
Polytechnic University of Catalonia
Nantes Université
Polytechnic University of Valencia
Université de Paris
University of Genoa
Université de Caen
North West University
University of Bologna
University of Campania Luigi Vanvitelli
University of Hull
Czech Technical University in Prague
Comenius University
National Institute for Subatomic Physics
Mohammed V University in Rabat
University of Salerno
University of Naples Federico II
National Institute for Laser, Plasma and Radiation Physics
University of Amsterdam
Netherlands Organisation for Applied Scientific Research
Cadi Ayyad University
University of the Witwatersrand
University of Catania
Princeton University
Université catholique de Louvain
University of Granada
Friedrich-Alexander University Erlangen-Nürnberg
Demokritos National Centre for Scientific Research
Mohamed I University
Western Sydney University
Royal Netherlands Institute for Sea Research - NIOZ
Leiden University
AGH University of Science and Technology
Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences
Ivane Javakhishvili Tbilisi State University
The University of Georgia, Tbilisi
Institut universitaire de France
Max Planck Institute for Radio Astronomy
Sharjah Academy for Astronomy, Space Sciences & Technology
Charles University
Harvard University
Mohammed VI Polytechnic University
Université Montpellier 2

Research output: Contribution to journal › Conference article › peer-review

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 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.

Original language	English
Article number	1073
Journal	Proceedings of Science
Volume	501
DOIs	https://doi.org/10.22323/1.501.1073
Publication status	Published - 30 Dec 2025
Event	39th International Cosmic Ray Conference, ICRC 2025 - Geneva, Switzerland Duration: 15 Jul 2025 → 24 Jul 2025

ASJC Scopus subject areas

Multidisciplinary

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10.22323/1.501.1073

Cite this

@article{ec9198442f61493fb49a982f424af110,

title = "Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector",

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 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.",

author = "\{KM3NeT Collaboration\} and Bouasla, \{Amani Besma\} and Reda Attallah and O. Adriani and A. Albert and Alhebsi, \{A. R.\} and S. Alshalloudi and M. Alshamsi and \{Alves Garre\}, S. and F. Ameli and M. Andre and L. Aphecetche and M. Ardid and S. Ardid and J. Aublin and F. Badaracco and L. Bailly-Salins and B. Baret and A. Bariego-Quintana and M. Barnard and Y. Becherini and M. Bendahman and \{Benfenati Gualandi\}, F. and M. Benhassi and Benoit, \{D. M.\} and Z. Be{\v n}u{\v s}ov{\'a} and E. Berbee and E. Berti and V. Bertin and P. Betti and S. Biagi and M. Boettcher and D. Bonanno and M. Bond{\`i} and S. Bottai and Bouasla, \{A. B.\} and J. Boumaaza and M. Bouta and M. Bouwhuis and C. Bozza and Bozza, \{R. M.\} and H. Br{\^a}nza{\c s} and F. Bretaudeau and M. Breuhaus and R. Bruijn and J. Brunner and R. Bruno and E. Buis and R. Buompane and I. Burriel and S. Razzaque",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s); 39th International Cosmic Ray Conference, ICRC 2025 ; Conference date: 15-07-2025 Through 24-07-2025",

year = "2025",

month = dec,

day = "30",

doi = "10.22323/1.501.1073",

language = "English",

volume = "501",

journal = "Proceedings of Science",

issn = "1824-8039",

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TY - JOUR

T1 - Diffuse astrophysical neutrino flux studies with the completed KM3NeT/ARCA detector

AU - KM3NeT Collaboration

AU - Bouasla, Amani Besma

AU - Attallah, Reda

AU - Adriani, O.

AU - Albert, A.

AU - Alhebsi, A. R.

AU - Alshalloudi, S.

AU - Alshamsi, M.

AU - Alves Garre, S.

AU - Ameli, F.

AU - Andre, M.

AU - Aphecetche, L.

AU - Ardid, M.

AU - Ardid, S.

AU - Aublin, J.

AU - Badaracco, F.

AU - Bailly-Salins, L.

AU - Baret, B.

AU - Bariego-Quintana, A.

AU - Barnard, M.

AU - Becherini, Y.

AU - Bendahman, M.

AU - Benfenati Gualandi, F.

AU - Benhassi, M.

AU - Benoit, D. M.

AU - Beňušová, Z.

AU - Berbee, E.

AU - Berti, E.

AU - Bertin, V.

AU - Betti, P.

AU - Biagi, S.

AU - Boettcher, M.

AU - Bonanno, D.

AU - Bondì, M.

AU - Bottai, S.

AU - Bouasla, A. B.

AU - Boumaaza, J.

AU - Bouta, M.

AU - Bouwhuis, M.

AU - Bozza, C.

AU - Bozza, R. M.

AU - Brânzaş, H.

AU - Bretaudeau, F.

AU - Breuhaus, M.

AU - Bruijn, R.

AU - Brunner, J.

AU - Bruno, R.

AU - Buis, E.

AU - Buompane, R.

AU - Burriel, I.

AU - Razzaque, S.

PY - 2025/12/30

Y1 - 2025/12/30

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105029031774

U2 - 10.22323/1.501.1073

DO - 10.22323/1.501.1073

M3 - Conference article

AN - SCOPUS:105029031774

SN - 1824-8039

VL - 501

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 1073

T2 - 39th International Cosmic Ray Conference, ICRC 2025

Y2 - 15 July 2025 through 24 July 2025

ER -

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

Abstract

ASJC Scopus subject areas

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