Angel Abusleme, Joao Pedro Athayde Marcondes de Andre, Andrej Babic, Anatael Cabrera, Timo Enqvist, Andrea Fabbri, Haonan Gan, Paul Hackspacher, Antonio Insolia, Beatrice Jelmini, Leonidas Kalousis, Tobias Lachenmaier, Bangzheng Ma, Massimiliano Nastasi, Lothar Oberauer, Hsiao-Ru Pan, Luis Felipe Pineres Rico, Fazhi Qi, Andrey Sadovsky, Jian Tang, Nikita Ushakov, Johannes van den Boom, Pablo Walker, Yufei Xi, Baojun Yan, Noman Zafar, Ints Mednieks . JUNO sensitivity to low energy atmospheric neutrino spectra. European Physical Journal C, 81(10), 887 pp. 2021.
Bibtex citation:
Bibtex citation:
@article{12092_2021,
author = {Angel Abusleme and Joao Pedro Athayde Marcondes de Andre and Andrej Babic and Anatael Cabrera and Timo Enqvist and Andrea Fabbri and Haonan Gan and Paul Hackspacher and Antonio Insolia and Beatrice Jelmini and Leonidas Kalousis and Tobias Lachenmaier and Bangzheng Ma and Massimiliano Nastasi and Lothar Oberauer and Hsiao-Ru Pan and Luis Felipe Pineres Rico and Fazhi Qi and Andrey Sadovsky and Jian Tang and Nikita Ushakov and Johannes van den Boom and Pablo Walker and Yufei Xi and Baojun Yan and Noman Zafar and Ints Mednieks },
title = {JUNO sensitivity to low energy atmospheric neutrino spectra},
journal = {European Physical Journal C},
volume = {81},
issue = {10},
pages = {887},
year = {2021}
}
author = {Angel Abusleme and Joao Pedro Athayde Marcondes de Andre and Andrej Babic and Anatael Cabrera and Timo Enqvist and Andrea Fabbri and Haonan Gan and Paul Hackspacher and Antonio Insolia and Beatrice Jelmini and Leonidas Kalousis and Tobias Lachenmaier and Bangzheng Ma and Massimiliano Nastasi and Lothar Oberauer and Hsiao-Ru Pan and Luis Felipe Pineres Rico and Fazhi Qi and Andrey Sadovsky and Jian Tang and Nikita Ushakov and Johannes van den Boom and Pablo Walker and Yufei Xi and Baojun Yan and Noman Zafar and Ints Mednieks },
title = {JUNO sensitivity to low energy atmospheric neutrino spectra},
journal = {European Physical Journal C},
volume = {81},
issue = {10},
pages = {887},
year = {2021}
}
Abstract: Atmospheric neutrinos are one of the most relevant 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 excellent 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 atmospheric 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 timing 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 scintillation light with very high precision. Since νe and νμ interactions produce a slightly different light pattern, the different 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 spectrum from the detector experimental observables. The simulated spectrum has been reconstructed between 100 MeV and 10 GeV, showing a great potential of the detector in the atmospheric low energy region. © 2021, The Author(s).