Atmospheric neutrinos are one of the most rel- evant natural neutrino sources that can be exploited to infer properties about cosmic rays and neutrino oscillations. The Jiangmen Underground Neutrino Observatory (JUNO) experiment, a 20 kton liquid scintillator detector with excel- lent energy resolution is currently under construction in China. JUNO will be able to detect several atmospheric neutrinos per day given the large volume. A study on the JUNO detection and reconstruction capabilities of atmo- spheric νe and νμ fluxes is presented in this paper. In this study, a sample of atmospheric neutrino Monte Carlo events has been generated, starting from theoretical models, and then processed by the detector simulation. The excellent tim- ing resolution of the 3” PMT light detection system of JUNO detector and the much higher light yield for scintillation over Cherenkov allow to measure the time structure of the scintil- lation light with very high precision. Since νe and νμ inter- actions produce a slightly different light pattern, the differ- ent time evolution of light allows to discriminate the flavor of primary neutrinos. A probabilistic unfolding method has been used, in order to infer the primary neutrino energy spec- trum from the detector experimental observables. The sim- ulated spectrum has been reconstructed between 100MeV and 10 GeV, showing a great potential of the detector in the atmospheric low energy region.

JUNO sensitivity to low energy atmospheric neutrino spectra

Mantovani, Fabio;Montuschi, Michele;Ricci, Barbara;Serafini, Andrea;Strati, Virginia;
2021

Abstract

Atmospheric neutrinos are one of the most rel- evant natural neutrino sources that can be exploited to infer properties about cosmic rays and neutrino oscillations. The Jiangmen Underground Neutrino Observatory (JUNO) experiment, a 20 kton liquid scintillator detector with excel- lent energy resolution is currently under construction in China. JUNO will be able to detect several atmospheric neutrinos per day given the large volume. A study on the JUNO detection and reconstruction capabilities of atmo- spheric νe and νμ fluxes is presented in this paper. In this study, a sample of atmospheric neutrino Monte Carlo events has been generated, starting from theoretical models, and then processed by the detector simulation. The excellent tim- ing resolution of the 3” PMT light detection system of JUNO detector and the much higher light yield for scintillation over Cherenkov allow to measure the time structure of the scintil- lation light with very high precision. Since νe and νμ inter- actions produce a slightly different light pattern, the differ- ent time evolution of light allows to discriminate the flavor of primary neutrinos. A probabilistic unfolding method has been used, in order to infer the primary neutrino energy spec- trum from the detector experimental observables. The sim- ulated spectrum has been reconstructed between 100MeV and 10 GeV, showing a great potential of the detector in the atmospheric low energy region.
2021
Abusleme, Angel; Adam, Thomas; Ahmad, Shakeel; Ahmed, Rizwan; Aiello, Sebastiano; Akram, Muhammad; An, Fengpeng; An, Guangpeng; An, Qi; Andronico, Giuseppe; Anfimov, Nikolay; Antonelli, Vito; Antoshkina, Tatiana; Asavapibhop, Burin; de André, João Pedro Athayde Marcondes; Auguste, Didier; Babic, Andrej; Baldini, Wander; Barresi, Andrea; Baussan, Eric; Bellato, Marco; Bergnoli, Antonio; Bernieri, Enrico; Birkenfeld, Thilo; Blin, Sylvie; Blum, David; Blyth, Simon; Bolshakova, Anastasia; Bongrand, Mathieu; Bordereau, Clément; Breton, Dominique; Brigatti, Augusto; Brugnera, Riccardo; Bruno, Riccardo; Budano, Antonio; Buscemi, Mario; Busto, Jose; Butorov, Ilya; Cabrera, Anatael; Cai, Hao; Cai, Xiao; Cai, Yanke; Cai, Zhiyan; Cammi, Antonio; Campeny, Agustin; Cao, Chuanya; Cao, Guofu; Cao, Jun; Caruso, Rossella; Cerna, Cédric; Chang, Jinfan; Chang, Yun; Chen, Pingping; Chen, Po-An; Chen, Shaomin; Chen, Xurong; Chen, Yi-Wen; Chen, Yixue; Chen, Yu; Chen, Zhang; Cheng, Jie; Cheng, Yaping; Chetverikov, Alexey; 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Olshevskiy, Alexander; Orestano, Domizia; Ortica, Fausto; Othegraven, Rainer; Pan, Hsiao-Ru; Paoloni, Alessandro; Parkalian, Nina; Parmeggiano, Sergio; Pei, Yatian; Pelliccia, Nicomede; Peng, Anguo; Peng, Haiping; Perrot, Frédéric; Petitjean, Pierre-Alexandre; Petrucci, Fabrizio; Pilarczyk, Oliver; Rico, Luis Felipe Piñeres; Popov, Artyom; Poussot, Pascal; Pratumwan, Wathan; Previtali, Ezio; Qi, Fazhi; Qi, Ming; Qian, Sen; Qian, Xiaohui; Qian, Zhen; Qiao, Hao; Qin, Zhonghua; Qiu, Shoukang; Rajput, Muhammad Usman; Ranucci, Gioacchino; Raper, Neill; Re, Alessandra; Rebber, Henning; Rebii, Abdel; Ren, Bin; Ren, Jie; Rezinko, Taras; Ricci, Barbara; Robens, Markus; Roche, Mathieu; Rodphai, Narongkiat; Romani, Aldo; Roskovec, Bedřich; Roth, Christian; Ruan, Xiangdong; Ruan, Xichao; Rujirawat, Saroj; Rybnikov, Arseniy; Sadovsky, Andrey; Saggese, Paolo; Salamanna, Giuseppe; Sanfilippo, Simone; Sangka, Anut; Sanguansak, Nuanwan; Sawangwit, Utane; Sawatzki, Julia; Sawy, Fatma; Schever, Michaela; 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