Sensitivity estimates for diffuse, point-like and extended neutrino sources with KM3NeT/ARCA
Rasa Muller, Aart Heijboer, Alfonso Garcia Soto, Barbara Caiffi,, Matteo Sanguineti, Vladimir Kulikovskiy (for the KM3NeT Collaboration)

TL;DR
This paper presents sensitivity estimates for detecting diffuse, point-like, and extended neutrino sources with the KM3NeT/ARCA detector, highlighting its potential to identify cosmic neutrino sources amidst background noise.
Contribution
It provides the first comprehensive sensitivity estimates for various neutrino source types using KM3NeT/ARCA, based on Monte Carlo simulations.
Findings
KM3NeT/ARCA has high sensitivity to cosmic neutrino sources.
The detector's angular resolution improves source identification.
Sensitivity estimates vary for different source types and energies.
Abstract
The identification of cosmic objects emitting high energy neutrinos could provide new insights about the Universe and its active sources. The existence of these cosmic neutrinos has been proven by the IceCube collaboration, but the big question of which sources these neutrinos originate from, remains unanswered. The KM3NeT detector for Astroparticle Research with Cosmics in the Abyss (ARCA), with a cubic kilometer instrumented volume, is currently being built in the Mediterranean Sea. It will excel at identifying cosmic neutrino sources due to its unprecedented angular resolution for muon neutrinos (< 0.2 degree for E > 10 TeV events). KM3NeT has a view of the sky complementary to IceCube, and is sensitive to neutrinos across a wide range of energies. In order to identify the signature of cosmic neutrino sources in the background of atmospheric neutrinos and muons, statistical methods…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
