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

• Published in: Journal of High Energy Physics
• Main Authors: Aiello, S., Albert, A., Alshamsi, M., Alves Garre, S., Aly, Z., Ambrosone, A., Ameli, F., Andre, M., Androulakis, G., Anghinolfi, M., Anguita, M., Ardid Ramírez, Miguel, Ardid-Ramírez, Joan Salvador, Aublin, J., Bagatelas, C., Bou Cabo, M., Diego-Tortosa, D., Espinosa Roselló, Víctor, García-Méndez, J., Llorens Álvarez, Carlos David, Martínez Mora, Juan Antonio, Poirè, Chiara
• Other Authors: Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny, Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres, Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia, LabEx UnivEarthS, European Commission, Junta de Andalucía, GENERALITAT VALENCIANA, Deutsche Forschungsgemeinschaft, AGENCIA ESTATAL DE INVESTIGACION, Institut Universitaire de France, National Science Centre, Polonia, Agencia Estatal de Investigación, European Regional Development Fund, Instituto Nazionale di Fisica Nucleare, Agence Nationale de la Recherche, Francia, Shota Rustaveli National Science Foundation, Netherlands Organization for Scientific Research, National Authority for Scientific Research, Rumanía, Centre National de la Recherche Scientifique, Francia, General Secretariat for Research and Technology, Grecia, Abdus Salam International Centre for Theoretical Physics, Ministero dell'Istruzione, dell'Università e della Ricerca, Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer-Verlag 2022
• Subjects: Neutrino Detectors and Telescopes (experiments); Oscillation; FISICA APLICADA; Orca
• Online Access: http://hdl.handle.net/10251/190456; https://doi.org/10.1007/JHEP03(2022)055

[EN] 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 ¿m² 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¿ 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. 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 ...