Event reconstruction for KM3NeT/ORCA using convolutional neural networks. (arXiv:2004.08254v1 [astro-ph.IM])

Event reconstruction for KM3NeT/ORCA using convolutional neural networks. (arXiv:2004.08254v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Aiello_S/0/1/0/all/0/1">Sebastiano Aiello</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Albert_A/0/1/0/all/0/1">Arnauld Albert</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Garre_S/0/1/0/all/0/1">Sergio Alves Garre</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Aly_Z/0/1/0/all/0/1">Zineb Aly</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ameli_F/0/1/0/all/0/1">Fabrizio Ameli</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Andre_M/0/1/0/all/0/1">Michel Andre</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Androulakis_G/0/1/0/all/0/1">Giorgos Androulakis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Anghinolfi_M/0/1/0/all/0/1">Marco Anghinolfi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Anguita_M/0/1/0/all/0/1">Mancia Anguita</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Anton_G/0/1/0/all/0/1">Gisela Anton</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ardid_M/0/1/0/all/0/1">Miquel Ardid</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Aublin_J/0/1/0/all/0/1">Julien Aublin</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bagatelas_C/0/1/0/all/0/1">Christos Bagatelas</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Barbarino_G/0/1/0/all/0/1">Giancarlo Barbarino</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Baret_B/0/1/0/all/0/1">Bruny Baret</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Pree_S/0/1/0/all/0/1">Suzan Basegmez du Pree</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bendahman_M/0/1/0/all/0/1">Meriem Bendahman</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Berbee_E/0/1/0/all/0/1">Edward Berbee</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bertin_V/0/1/0/all/0/1">Vincent Bertin</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Biagi_S/0/1/0/all/0/1">Simone Biagi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Biagioni_A/0/1/0/all/0/1">Andrea Biagioni</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bissinger_M/0/1/0/all/0/1">Matthias Bissinger</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Boettcher_M/0/1/0/all/0/1">Markus Boettcher</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Boumaaza_J/0/1/0/all/0/1">Jihad Boumaaza</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bouta_M/0/1/0/all/0/1">Mohammed Bouta</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bouwhuis_M/0/1/0/all/0/1">Mieke Bouwhuis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bozza_C/0/1/0/all/0/1">Cristiano Bozza</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Branzas_H/0/1/0/all/0/1">Horea Branzas</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bruijn_R/0/1/0/all/0/1">Ronald Bruijn</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Brunner_J/0/1/0/all/0/1">Jürgen Brunner</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Buis_E/0/1/0/all/0/1">Ernst-Jan Buis</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Buompane_R/0/1/0/all/0/1">Raffaele Buompane</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Busto_J/0/1/0/all/0/1">Jose Busto</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Caiffi_B/0/1/0/all/0/1">Barbara Caiffi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Calvo_D/0/1/0/all/0/1">David Calvo</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Capone_A/0/1/0/all/0/1">Antonio Capone</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Carretero_V/0/1/0/all/0/1">Víctor Carretero</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Castaldi_P/0/1/0/all/0/1">Paolo Castaldi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Celli_S/0/1/0/all/0/1">Silvia Celli</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Chabab_M/0/1/0/all/0/1">Mohamed Chabab</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Chau_N/0/1/0/all/0/1">Nhan Chau</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Chen_A/0/1/0/all/0/1">Andrew Chen</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Cherubini_S/0/1/0/all/0/1">Silvio Cherubini</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Chiarella_V/0/1/0/all/0/1">Vitaliano Chiarella</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Chiarusi_T/0/1/0/all/0/1">Tommaso Chiarusi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Circella_M/0/1/0/all/0/1">Marco Circella</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Cocimano_R/0/1/0/all/0/1">Rosanna Cocimano</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Coelho_J/0/1/0/all/0/1">Joao Coelho</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Coleiro_A/0/1/0/all/0/1">Alexis Coleiro</a>, et al. (183 additional authors not shown)

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 will instrument several megatons of seawater with
photosensors. Its main objective is the determination of the neutrino mass
ordering. This work aims at demonstrating the general applicability of deep
convolutional neural networks to neutrino telescopes, using simulated datasets
for the KM3NeT/ORCA detector as an example. To this end, the networks are
employed to achieve reconstruction and classification tasks that constitute an
alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT
Letter of Intent. They are used to infer event reconstruction estimates for the
energy, the direction, and the interaction point of incident neutrinos. The
spatial distribution of Cherenkov light generated by charged particles induced
in neutrino interactions is classified as shower- or track-like, and the main
background processes associated with the detection of atmospheric neutrinos are
recognized. Performance comparisons to machine-learning classification and
maximum-likelihood reconstruction algorithms previously developed for
KM3NeT/ORCA are provided. It is shown that this application of deep
convolutional neural networks to simulated datasets for a large-volume neutrino
telescope yields competitive reconstruction results and performance
improvements with respect to classical approaches.

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