activity
20112021
most citedLetter of Intent for KM3NeT 2.0

908 citations · 2k across the 23 of their papers we have counts for

collaborators

23 papers

astro-ph.HE2021★ 22 cited

Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search

KM3NeT Collaboration, S. Aiello, A. Albert +242

The KM3NeT research infrastructure is under construction in the Mediterranean Sea. KM3NeT will study atmospheric and astrophysical neutrinos with two multi-purpose neutrino detecto…

hep-ex2021★ 12 cited

Combined sensitivity of JUNO and KM3NeT/ORCA to the neutrino mass ordering

KM3NeT Collaboration, S. Aiello, A. Albert +275

This article presents the potential of a combined analysis of the JUNO and KM3NeT/ORCA experiments to determine the neutrino mass ordering. This combination is particularly interes…

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…

hep-ex2021★ 84 cited

Determining the Neutrino Mass Ordering and Oscillation Parameters with KM3NeT/ORCA

S. Aiello, A. Albert, S. Alves Garre +239

The next generation of water Cherenkov neutrino telescopes in the Mediterranean Sea are under construction offshore France (KM3NeT/ORCA) and Sicily (KM3NeT/ARCA). The KM3NeT/ORCA d…

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…