JUNO sensitivity to low energy atmospheric neutrino spectra

The JUNO collaboration

doi:10.1140/epjc/s10052-021-09565-z

JUNO sensitivity to low energy atmospheric neutrino spectra

The JUNO collaboration

School of Physics

Pontificia Universidad Católica de Chile
Université de Strasbourg
Pakistan Atomic Energy Commission
University of Catania
East China University of Science and Technology
CAS - Institute of High Energy Physics
University of Science and Technology of China
Joint Institute for Nuclear Research
University of Milan
Chulalongkorn University
Université Paris-Saclay
Comenius University
National Institute for Nuclear Physics
University of Milan - Bicocca
Roma Tre University
RWTH Aachen University
University of Tübingen
National Taiwan University
Nantes Université
Université de Bordeaux
University of Padua
Centre de Physique des Particules de Marseille
Wuhan University
National United University Taiwan
Dongguan University of Technology
Tsinghua University
CAS - Institute of Modern Physics
National Yang Ming Chiao Tung University
North China Electric Power University
Sun Yat-Sen University
China Aerospace Science and Technology Corporation
Universidade Estadual de Londrina
University of Perugia
Université libre de Bruxelles
University of California at Irvine
Johannes Gutenberg University Mainz
Suranaree University of Technology
Charles University
Lomonosov Moscow State University
Institute for Nuclear Research of the Russian Academy of Sciences
Zhengzhou University
University of Jyväskylä
Wuyi University
Guangxi University
Chinese Academy of Geological Sciences
Jülich Research Centre
Jinan University
Beijing Normal University
Xi'an Jiaotong University
University of Hamburg
China National Nuclear Corporation
Shandong University
Shanghai Jiao Tong University
A. Alikhanian Yerevan Institute of Physics
Nankai University
National University of Defense Technology
University of Chinese Academy of Sciences
University of South China
Jilin University
Xiamen University
Peking University
Institute of Electronics and Computer Science
Universidad Técnica Federico Santa Maria
Pontifícia Universidade Católica do Rio de Janeiro
Technical University of Munich
Nanjing University
National Astronomical Research Institute of Thailand
Harbin Institute of Technology
Chongqing University

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

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 ν_e and ν_μ 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 ν_e and ν_μ 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.

Original language	English
Article number	887
Journal	European Physical Journal C
Volume	81
Issue number	10
DOIs	https://doi.org/10.1140/epjc/s10052-021-09565-z
State	Published - Oct 2021

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@article{7805d88a428f40fab792ca76a28b8895,

title = "JUNO sensitivity to low energy atmospheric neutrino spectra",

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.",

author = "\{The JUNO collaboration\} and Angel Abusleme and Thomas Adam and Shakeel Ahmad and Rizwan Ahmed and Sebastiano Aiello and Muhammad Akram and Fengpeng An and Guangpeng An and Qi An and Giuseppe Andronico and Nikolay Anfimov and Vito Antonelli and Tatiana Antoshkina and Burin Asavapibhop and \{de Andr{\'e}\}, \{Jo{\~a}o Pedro Athayde Marcondes\} and Didier Auguste and Andrej Babic and Wander Baldini and Andrea Barresi and Eric Baussan and Marco Bellato and Antonio Bergnoli and Enrico Bernieri and Thilo Birkenfeld and Sylvie Blin and David Blum and Simon Blyth and Anastasia Bolshakova and Mathieu Bongrand and Cl{\'e}ment Bordereau and Dominique Breton and Augusto Brigatti and Riccardo Brugnera and Riccardo Bruno and Antonio Budano and Mario Buscemi and Jose Busto and Ilya Butorov and Anatael Cabrera and Hao Cai and Xiao Cai and Yanke Cai and Zhiyan Cai and Antonio Cammi and Agustin Campeny and Chuanya Cao and Guofu Cao and Qichun Feng and Lei Huo and Jingbo Zhang",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = oct,

doi = "10.1140/epjc/s10052-021-09565-z",

language = "英语",

volume = "81",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "10",

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T1 - JUNO sensitivity to low energy atmospheric neutrino spectra

AU - The JUNO collaboration

AU - Abusleme, Angel

AU - Adam, Thomas

AU - Ahmad, Shakeel

AU - Ahmed, Rizwan

AU - Aiello, Sebastiano

AU - Akram, Muhammad

AU - An, Fengpeng

AU - An, Guangpeng

AU - An, Qi

AU - Andronico, Giuseppe

AU - Anfimov, Nikolay

AU - Antonelli, Vito

AU - Antoshkina, Tatiana

AU - Asavapibhop, Burin

AU - de André, João Pedro Athayde Marcondes

AU - Auguste, Didier

AU - Babic, Andrej

AU - Baldini, Wander

AU - Barresi, Andrea

AU - Baussan, Eric

AU - Bellato, Marco

AU - Bergnoli, Antonio

AU - Bernieri, Enrico

AU - Birkenfeld, Thilo

AU - Blin, Sylvie

AU - Blum, David

AU - Blyth, Simon

AU - Bolshakova, Anastasia

AU - Bongrand, Mathieu

AU - Bordereau, Clément

AU - Breton, Dominique

AU - Brigatti, Augusto

AU - Brugnera, Riccardo

AU - Bruno, Riccardo

AU - Budano, Antonio

AU - Buscemi, Mario

AU - Busto, Jose

AU - Butorov, Ilya

AU - Cabrera, Anatael

AU - Cai, Hao

AU - Cai, Xiao

AU - Cai, Yanke

AU - Cai, Zhiyan

AU - Cammi, Antonio

AU - Campeny, Agustin

AU - Cao, Chuanya

AU - Cao, Guofu

AU - Feng, Qichun

AU - Huo, Lei

AU - Zhang, Jingbo

PY - 2021/10

Y1 - 2021/10

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85116762243

U2 - 10.1140/epjc/s10052-021-09565-z

DO - 10.1140/epjc/s10052-021-09565-z

M3 - 文章

AN - SCOPUS:85116762243

SN - 1434-6044

VL - 81

JO - European Physical Journal C

JF - European Physical Journal C

IS - 10

M1 - 887

ER -

JUNO sensitivity to low energy atmospheric neutrino spectra

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