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The authors acknowledge the financial support of the funding agencies: Agence Nationale de la Recherche (contract ANR-15-CE31-0020), Centre National de la Recherche Scientifique (CNRS), Commission Europeenne (FEDER fund and Marie Curie Program), Institut Universitaire de France (IUF), LabEx UnivEarthS (ANR-10-LABX-0023 and ANR-18-IDEX-0001), Shota Rustaveli National Science Foundation of Georgia (SRNSFG, FR18-1268), Georgia; Deutsche Forschungsgemeinschaft (DFG), Germany; The General Secretariat of Research and Technology (GSRT), Greece; Istituto Nazionale di Fisica Nucleare (INFN), Ministero dell'Universita e della Ricerca (MIUR), PRIN 2017 program (Grant NAT-NET 2017W4HA7S) Italy; Ministry of Higher Education Scientific Research and Professional Training, ICTP through Grant AF-13, Morocco; Nederlandse organisatie voor Wetenschappelijk Onderzoek (NWO), the Netherlands; The National Science Centre, Poland (2015/18/E/ST2/00758); National Authority for Scientific Research (ANCS), Romania; Ministerio de Ciencia, Innovacion, Investigacion y Universidades (MCIU): Programa Estatal de Generacion de Conocimiento (refs. PGC2018-096663-B-C41, -A-C42, -B-C43, -B-C44) (MCIU/FEDER), Generalitat Valenciana: Prometeo (PROMETEO/2020/019), Grisolia (ref. GRISOLIA/2018/119) and GenT (refs. CIDEGENT/2018/034,/2019/043,/2020/049) programs, Junta de Andalucia (ref. A-FQM-053-UGR18), La Caixa Foundation (ref. LCF/BQ/IN17/11620019), EU: MSC program (ref. 101025085), Spain.

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

Publicado en:Journal Of High Energy Physics. 2022 (3): 55- - 2022-03-09 2022(3), DOI: 10.1007/JHEP03(2022)055

Autores: Aiello, S; Albert, A; Alshamsi, M; Alves Garre, S; Aly, Z; Ambrosone, A; Ameli, F; Andre, M; Androulakis, G; Anghinolfi, M; Anguita, M; Ardid, M; Ardid, S; Aublin, J; Bagatelas, C; Baret, B; du Pree, S Basegmez; Bendahman, M; Benfenati, F; Berbee, E; van den Berg, A M; Bertin, V; Biagi, S; Boettcher, M; Bou Cabo, M; Boumaaza, J; Bouta, M; Bouwhuis, M; Bozza, C; Branzas, H; Bruijn, R; Brunner, J; Bruno, R; Buis, E; Buompane, R; Busto, J; Caiffi, B; Calvo, D; Campion, S; Capone, A; Carretero, V; Castaldi, P; Celli, S; Chabab, M; Chau, N; Chen, A; Cherubini, S; Chiarella, V; Chiarusi, T; Circella, M; Cocimano, R; Coelho, J A B; Coleiro, A; Colomer-Molla, M; Coniglione, R; Coyle, P; Creusot, A; Cruz, A; Cuttone, G; Dallier, R; De Martino, B; Di Palma, I; Diaz, A F; Diego-Tortosa, D; Distefano, C; Domi, A; Donzaud, C; Dornic, D; Doerr, M; Drouhin, D; Eberl, T; Eddyamoui, A; van Eeden, T; van Eijk, D; El Bojaddaini, I; Enzenhofer, A; Espinosa, V; Fermani, P; Ferrara, G; Filipovic, M D; Filippini, F; Fusco, L A; Gal, T; Garcia Mendez, J; Garcia Soto, A; Garufi, F; Gatelet, Y; 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; Hernandez-Rey, J J; Hofestaedt, J; Huang, F; Ibnsalih, W Idrissi; Illuminati, G; James, C W; Janezashvili, D; de Jong, M; de Jong, P; Jung, B J; Kalaczynski, P; Kalekin, O; Katz, U F; Khan Chowdhury, N R; Kistauri, G; van der Knaap, F; Kooijman, P; Kouchner, A; Kulikovskiy, V; Labalme, M; Lahmann, R; Lamoureux, M; Larosa, G; Lastoria, C; Lazo, A; Le Breton, R; Le Stum, S; Lehaut, G; Leonardi, O; Leone, F; Leonora, E; Lessing, N; Levi, G; Lincetto, M; Clark, M Lindsey; Lipreau, T; LLorens Alvarez, C; Longhitano, F; Lopez-Coto, D; Lygda, A; Maderer, L; Majumdar, J; Manczak, J; Margiotta, A; Marinelli, 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; Moser, M; Moussa, A; Muller, R; Musumeci, M; Nauta, L; Navas, S; Nicolau, C A; Nkosi, B; Fearraigh, B O; O'Sullivan, M; Organokov, M; Orlando, A; Palacios Gonzalez, J; Papalashvili, G; Papaleo, R; Paun, A M; Pavalas, G E; Pellegrino, C; Perrin-Terrin, M; Pestel, V; Piattelli, P; Pieterse, C; Pisanti, O; Poire, C; Popa, V; Pradier, T; Probst, I; Pulvirenti, S; Quemener, G; Randazzo, N; Razzaque, S; Real, D; Reck, S; Riccobene, G; Romanov, A; Rovelli, A; Salesa Greus, F; Samtleben, D F E; Sanchez Losa, A; Sanguineti, M; Santonocito, D; Sapienza, P; 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; Stellacci, S M; Taiuti, M; Tayalati, Y; Thiersen, H; Tingay, S; Tsagkli, S; Tsourapis, V; Tzamariudaki, E; Tzanetatos, D; Van Elewyck, V; Vasileiadis, G; Versari, F; 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; Ahmad, S; de Andre, J P A M; Baussan, E; Bordereau, C; Cabrera, A; Cerna, C; Donchenko, G; Doroshkevich, E A; Dracos, M; Druillole, F; Jollet, C; Kalousis, L N; Kampmann, P; Kouzakov, K; Lokhov, A; Lubsandorzhiev, B K; Lubsandorzhiev, S B; Meregaglia, A; Miramonti, L; Perrot, F; Rico, L F Pineres; Popov, A; Rasheed, R; Settimo, M; Stankevich, K; Steiger, H; Stock, M R; Studenikin, A; Triossi, A; Trzaska, W; Vialkov, M; Wonsak, B; Wurtz, J; Yermia, F

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Resumen

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 interesting as it significantly boosts the potential of either detector, beyond simply adding their neutrino mass ordering sensitivities, by removing a degeneracy in the determination of Delta M-31(2) between the two experiments when assuming the wrong ordering. The study is based on the latest projected performances for JUNO, and on simulation tools using a full Monte Carlo approach to the KM3NeT/ORCA response with a careful assessment of its energy systematics. From this analysis, a 5 sigma determination of the neutrino mass ordering is expected after 6 years of joint data taking for any value of the oscillation parameters. This sensitivity would be achieved after only 2 years of joint data taking assuming the current global best-fit values for those parameters for normal ordering.

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