activity
20182023
most citedSensitivity of the KM3NeT/ARCA neutrino telescope to point-like neutrino sources

138 citations · 292 across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.HE2023★ 5 cited

Prospects for combined analyses of hadronic emission from -ray sources in the Milky Way with CTA and KM3NeT

T. Unbehaun, L. Mohrmann, S. Funk +271

The Cherenkov Telescope Array and the KM3NeT neutrino telescopes are major upcoming facilities in the fields of -ray and neutrino astronomy, respectively. Possible simultaneous…

hep-ex2023★ 8 cited

Probing invisible neutrino decay with KM3NeT-ORCA

KM3NeT Collaboration, S. Aiello, A. Albert +252

In the era of precision measurements of the neutrino oscillation parameters, upcoming neutrino experiments will also be sensitive to physics beyond the Standard Model. KM3NeT/ORCA…

hep-ex2021★ 1 cited

Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA

S. Aiello, A. Albert, M. Alshamsi +245

KM3NeT/ORCA is a next-generation neutrino telescope optimised for atmospheric neutrino oscillations studies. In this paper, the sensitivity of ORCA to the presence of a light steri…

astro-ph.HE2021★ 44 cited

The KM3NeT potential for the next core-collapse supernova observation with neutrinos

KM3NeT Collaboration, S. Aiello, A. Albert +245

The KM3NeT research infrastructure is under construction in the Mediterranean Sea. It consists of two water Cherenkov neutrino detectors, ARCA and ORCA, aimed at neutrino astrophys…

astro-ph.IM2020★ 34 cited

Event reconstruction for KM3NeT/ORCA using convolutional neural networks

Sebastiano Aiello, Arnauld Albert, Sergio Alves Garre +229

The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino detector off the French coast…

astro-ph.IM2020★ 45 cited

gSeaGen: the KM3NeT GENIE-based code for neutrino telescopes

Sebastiano Aiello, Arnauld Albert, Sergio Alves Garre +233

The gSeaGen code is a GENIE-based application developed to efficiently generate high statistics samples of events, induced by neutrino interactions, detectable in a neutrino telesc…