Muon bundle reconstruction with KM3NeT/ORCA using graph convolutional networks

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...

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Main Authors: Reck S., Eberl T., Katz U., Ageron M., Aiello S., Albert A., Alshamsi M., Alves Garre S., Aly Z., Ambrosone A., Ameli F., Andre M., Androulakis G., Anghinolfi M., Anguita M., Anton G., Ardid M., Ardid S., Assal W., Aublin J., Bagatelas C., Baret B., Basegmez du Pree S., Bendahman M., Benfenati F., Berbee E., van den Berg A. M., Bertin V., Beurthey S., van Beveren V., Biagi S., Billault M., Bissinger M., Boettcher M., Bou Cabo M., Boumaaza J., Bouta M., Boutonnet C., Bouvet G., Bouwhuis M., Bozza C., Branzas H., Bruijn R., Brunner J., Bruno R., Buis E., Buompane R., Busto J., Caiffi B., Caillat L., Calvo D., Campion S., Capone A., Carduner H., Carretero V., Castaldi P., Celli S., Cereseto R., Chabab M., Champion C., Chau N., Chen A., Cherubini S., Chiarella V., Chiarusi T., Circella M., Cocimano R., Coelho J. A. B., Coleiro A., Colomer Molla M., Colonges S., Coniglione R., Cosquer A., Coyle P., Cresta M., Creusot A., Cruz A., Cuttone G., D'Amico A., Dallier R., De Martino B., De Palma M., Di Palma I., Diaz A. F., Diego-Tortosa D., Distefano C., Domi A., Donzaud C., Dornic D., Dorr M., Drouhin D., Eddyamoui A., van Eeden T., van Eijk D., El Bojaddaini I., Eljarrari H., Elsaesser D., Enzenhofer A., Espinosa V., Fermani P., Ferrara G., Filipovic M. D., Filippini F., Fransen J., Fusco L. A., Gajanana D., Gal T., Garcia Mendez J., Garcia Soto A., Garcon E., Garufi F., Gatius C., Geisselbrecht N., Gialanella L., Giorgio E., Gozzini S. R., Gracia R., Graf K., Grella G., Guderian D., Guidi C., Guillon B., Gutierrez M., Haefner J., Hallmann S., Hamdaoui H., van Haren H., Heijboer A., Hekalo A., Hennig L., Henry S., Hernandez-Rey J. J., Hofestadt J., Huang F., Idrissi Ibnsalih W., Ilioni A., Illuminati G., James C. W., Janezashvili D., Jansweijer P., de Jong M., de Jong P., Jung B. J., Kadler M., Kalaczynski P., Kalekin O., Katz U. F., Kayzel F., Keller P., Khan Chowdhury N. R., Kistauri G., van der Knaap F., Kooijman P., Kouchner A., Kreter M., Kulikovskiy V., Labalme M., Lagier P., Lahmann R., Lamare P., Lamoureux M., Larosa G., Lastoria C., Laurence J., Lazo A., Le Breton R., Le Guirriec E., Le Stum S., Lehaut G., Leonardi O., Leone F., Leonora E., Lerouvillois C., Lesrel J., Lessing N., Levi G., Lincetto M., Lindsey Clark M., Lipreau T., LLorens Alvarez C., Lonardo A., Longhitano F., Lopez-Coto D., Lumb N., Maderer L., Majumdar J., Manczak J., Margiotta A., Marinelli A., Marini A., Markou C., Martin L., Martinez-Mora J. A., Martini A., Marzaioli F., Mastroianni S., Melis K. W., Miele G., Migliozzi P., Migneco E., Mijakowski P., Miranda L. S., Mollo C. M., Mongelli M., Moussa A., Muller R., Musico P., Musumeci M., Nauta L., Navas S., Nicolau C. A., Nkosi B., Fearraigh B. O., O'Sullivan M., Orlando A., Ottonello G., Ottonello S., Palacios Gonzalez J., Papalashvili G., Papaleo R., Pastore C., Paun A. M., Pavalas G. E., Pellegrini G., Pellegrino C., Perrin-Terrin M., Pestel V., Piattelli P., Pieterse C., Pisanti O., Poire C., Popa V., Pradier T., Pratolongo F., Probst I., Puhlhofer G., Pulvirenti S., Quemener G., Randazzo N., Rapicavoli A., Razzaque S., Real D., Riccobene G., Rigalleau L., Romanov A., Rovelli A., Royon J., Salesa Greus F., Samtleben D. F. E., Sanchez Losa A., Sanguineti M., Santangelo A., Santonocito D., Sapienza P., Schmelling J., Schnabel J., Schneider M. F., Schumann J., Schutte H. M., Seneca J., Sgura I., Shanidze R., Sharma A., Sinopoulou A., Spisso B., Spurio M., Stavropoulos D., Steijger J., Stellacci S. M., Taiuti M., Tatone F., Tayalati Y., Tenllado E., Tezier D., Thakore T., Theraube S., Thiersen H., Timmer P., Tingay S., Tsagkli S., Tsourapis V., Tzamariudaki E., Tzanetatos D., Valieri C., Van Elewyck V., Vasileiadis G., Versari F., Viola S., Vivolo D., de Wasseige G., Wilms J., Wojaczynski R., de Wolf E., Yousfi T., Zavatarelli S., Zegarelli A., Zito D., Zornoza J. D., Zuniga J., Zywucka N.
Other Authors: Reck, S., Eberl, T., Katz, U., Ageron, M., Aiello, S., Albert, A., Alshamsi, M., Alves Garre, S., Aly, Z., Ambrosone, A., Ameli, F., Andre, M., Androulakis, G., Anghinolfi, M., Anguita, M., Anton, G., Ardid, M., Ardid, S., Assal, W., Aublin, J., Bagatelas, C., Baret, B., Basegmez du Pree, S., Bendahman, M., Benfenati, F., Berbee, E., van den Berg, A. M., Bertin, V., Beurthey, S., van Beveren, V., Biagi, S., Billault, M., Bissinger, M., Boettcher, M., Bou Cabo, M., Boumaaza, J., Bouta, M., Boutonnet, C., Bouvet, G., Bouwhuis, M., Bozza, C., Branzas, H., Bruijn, R., Brunner, J., Bruno, R., Buis, E., Buompane, R., Busto, J., Caiffi, B., Caillat, L.
Format: Article in Journal/Newspaper
Language:English
Published: Sissa Medialab Srl 2022
Subjects:
Online Access:https://hdl.handle.net/11567/1107765
Description
Summary: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 neutrinos traversing the Earth. Additionally, the detector observes a large amount of atmospheric muons, which can be used to study extensive air showers generated by cosmic ray particles. This work describes a deep-learning based reconstruction of atmospheric muons using graph convolutional networks. They are used to reconstruct the zenith angle, the muon multiplicity and the diameter of atmospheric muon bundles. Simulations and measured data from an early four line stage of the detector are used to evaluate the performance. Furthermore, the reconstructions are compared to the ones of classical approaches, and use cases for the indirect study of cosmic ray particles are shown.