Muon bundle reconstruction with KM3NeT/ORCA using graph convolutional networks

• Main Authors: Ageron, M., Aiello, S, Albert, Arthur, Alshamsi, Mohammed, Ambrosone, Antonio, André, Michel, Androulakis, Giorgos, Anghinolfi, Marco, Anton, Gisela, Ardid Ramírez, Miguel, Aublin, J., Bagatelas, Christos
• Other Authors: Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques
• Format: Conference Object
• Language: English
• Published: arXiv 2021
• Subjects: Àrees temàtiques de la UPC::Física::Astronomia i astrofísica; Neutrinos; Cherenkov radiation; Astrophysics; Telescopes; Charged particles; Convolution; Cosmic rays; Deep learning; Neutrons; Particle detectors; Atmospheric muons; Cherenkov; Convolutional networks; Cosmic-ray particles; Energy; Mass hierarchy; Mediterranean sea; Neutrino detectors; Neutrino mass; Zenith angle; Cosmology; Neutrins; Astrofísica; Telescopis; Radiació sincrotrònica; Orca
• Online Access: http://hdl.handle.net/2117/385730

KM3NeT/ORCA is a water-Cherenkov neutrino detector, currently under construction in the Mediterranean Sea at a depth of 2450 meters. The project’s main goal is the determination of the neutrino mass hierarchy by measuring the energy- and zenith-angle-resolved oscillation probabilities of atmospheric...