Resumen:
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[EN] KM3NeT/ARCA is a Cherenkov neutrino telescope under construction in the Mediterranean sea, optimised for the detection of astrophysical neutrinos with energies above similar to 1 TeV. In this work, using Monte Carlo ...[+]
[EN] KM3NeT/ARCA is a Cherenkov neutrino telescope under construction in the Mediterranean sea, optimised for the detection of astrophysical neutrinos with energies above similar to 1 TeV. In this work, using Monte Carlo simulations including all-flavour neutrinos, the integrated and differential sensitivities for KM3NeT/ARCA are presented considering the case of a diffuse neutrino flux as well as extended and point-like neutrino sources. This analysis is applied to Starburst Galaxies demonstrating that the detector has the capability of tracing TeV neutrinos from these sources. Remarkably, after eight years, a hard power-law spectrum from the nearby Small Magellanic Cloud can be constrained. The sensitivity and discovery potential for NGC 1068 is also evaluated showing that KM3NeT/ARCA will discriminate between different astrophysical components of the measured neutrino flux after 3 years of data taking.
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Agradecimientos:
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The authors gratefully acknowledge the contribution from Damiano
F. G. Fiorillo and Marco Chianese for providing support regarding
SBG fluxes and for fruitful discussions. The authors acknowledge the
financial support ...[+]
The authors gratefully acknowledge the contribution from Damiano
F. G. Fiorillo and Marco Chianese for providing support regarding
SBG fluxes and for fruitful discussions. The authors acknowledge the
financial support of the funding agencies:
Czech Science Foundation (GAČR 24-12702S);
Agence Nationale de la Recherche, France (contract ANR-15-CE31-
0020), Centre National de la Recherche Scientifique (CNRS), Commission Européenne (FEDER fund and Marie Curie Program), LabEx
UnivEarthS (ANR-10-LABX-0023 and ANR-18-IDEX-0001), Paris Île-deFrance Region, France;
Shota Rustaveli National Science Foundation of Georgia (SRNSFG,
FR-22-13708), Georgia;
The General Secretariat of Research and Innovation (GSRI), Greece;
Istituto Nazionale di Fisica Nucleare (INFN) and Ministero dell Università e della Ricerca (MUR), through PRIN 2022 program (Grant
PANTHEON 2022E2J4RK, Next Generation EU) and PON R&I program
(Avviso n. 424 del 28 febbraio 2018, Progetto PACK-PIR01 00021),
Italy; A. De Benedittis, R. Del Burgo, W. Idrissi Ibnsalih, A. Nayerhoda,
G. Papalashvili, I. C. Rea, S. Santanastaso, A. Simonelli have been supported by the Italian Ministero dell Università e della Ricerca (MUR),
Progetto CIR01 00021 (Avviso n. 2595 del 24 dicembre 2019);
Ministry of Higher Education, Scientific Research and Innovation,
Morocco, and the Arab Fund for Economic and Social Development,
Kuwait;
Nederlandse organisatie voor Wetenschappelijk Onderzoek (NWO),
the Netherlands;
The National Science Centre, Poland (2021/41/N/ST2/01177); The
grant AstroCeNT: Particle Astrophysics Science and Technology Centre , carried out within the International Research Agendas programme
of the Foundation for Polish Science financed by the European Union
under the European Regional Development Fund;
National Authority for Scientific Research (ANCS), Romania;
Slovak Research and Development Agency under Contract No.
APVV-22-0413; Ministry of Education, Research, Development and
Youth of the Slovak Republic;
MCIN for PID2021-124591NB-C41, -C42, -C43 funded by MCIN/AEI/
10.13039/501100011033 and, as appropriate, by ERDF A way of
making Europe , by the European Union or by the European Union
NextGenerationEU/PRTR , Programa de Planes Complementarios I+D+I
(refs. ASFAE/2022/023, ASFAE/2022/014), Programa Prometeo (PRO
METEO/2020/019) and GenT (refs. CIDEGENT/2018/034, /2019/043,
/2020/049. /2021/23) of the Generalitat Valenciana, Junta de Andalucía (ref. SOMM17/6104/UGR, P18-FR-5057), EU: MSC program
(ref. 101025085), Programa María Zambrano (Spanish Ministry of Universities, funded by the European Union, NextGenerationEU), Spain;
The European Union s Horizon 2020 Research and Innovation Programme (ChETEC-INFRA - Project no. 101008324).
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