JUNO Conceptual Design Report

Adam, Thomas; An, Fengpeng; An, Geunyoung; An, Q.; Анфимов, Н.; Antonelli, Vito; Baccolo, Giovanni; Baldoncini, Marica; Baussan, E.; Bellato, M.; Bezrukov, L.; Bick, D.; Blyth, S.; Boarin, S.; Brigatti, A.; Brugière, T.; Brugnera, R.; Avanzini, M. Buizza; Busto, J.; Cabrera, A.; Cai, H.; Cai, Xiaogang; Cammi, Antonio; Cao, Donggang; Cao, Guanqun; Cao, Jun; Chang, Jae-Woo; Chang, Yu-Jung; Chen, M.; Chen, P.; Chen, Q.; Chen, S.; Chen, X.; Chen, Y.; Cheng, Y.; Chiesa, D.; Chukanov, A.; Clemenza, M.; Clerbaux, B.; D’Angelo, D.; Kerret, H. de; Deng, Ze; Ding, Xiang; Ding, Yunhua; Djurcic, Z.; Dmitrievsky, Sergey; Dolgareva, M.; Dornic, D.; Doroshkevich, E.; Dracos, M.; Drapier, O.; Dusini, S.; Díaz, María Auxiliadora Martín; Enqvist, T.; Fan, Dina; Fang, Can; Fang, Jun; Fang, Xing; Favart, L.; Fedoseev, Dmitry; Fiorentini, G.; Ford, R.; Formozov, A.; Gaigher, R.; Gan, Haonan; Garfagnini, A.; Gaudiot, G.; Genster, Christoph; Giammarchi, M.; Giuliani, F.; Gonchar, M.; Gong, Guanghua; Gong, H.; Gonin, M.; Gornushkin, Yuri; Grassi, M.; Grewing, Christian; Gromov, Vasily; Gu, M. H.; Guan, Mengyun; Guarino, V.; Guo, Wenzhong; Guo, Xiaoyong; Guo, Yuanping; Göger‐Neff, M.; Hackspacher, Paul; Hagner, C.; Han, Rui; Han, Zhu; Hao, Jialu; He, Ming; Hellgartner, D.; Heng, Y. K.; Hong, Daojin; Hou, Shaojing; Hsiung, Y.; Hu, Bin; Hu, J.; Hu, Songlin; Hu, T.; Hu, Wei; Huang, Hsiang-Cheh; Huang, Xiaobing; Huo, L.; Huo, Wei; Ioannisian, Ara; Ioannisyan, D.; Jeitler, M.; Jen, K. L.; Jetter, S.; Ji, Xiaoyong; Jian, Sheng-Jen; Jiang, Dawei; Jiang, Xian Quan; Jollet, C.; Kaiser, M.; Kan, Bao Qiang; Kang, Ling; Karagounis, M.; Kazarian, Narine; Kettell, S. H.; Korablëv, D.; Krasnoperov, A.; Krokhaleva, Svetlana; Krumshteyn, Z. V.; Kruth, A.; Kuusiniemi, P.; Lachenmaier, T.; Lei, Liping; Lei, Ruiting; Lei, X.; Leitner, R.; Lenz, F.; Li, C.; Li, F.; Li, J.; Li, N.; Li, S.; Li, T.; Li, W.; Li, X.; Li, Y.; Li, Z.; Liang, Haoming; Liang, Jianping; Licciardi, M.; Lin, Guo Wen; Lin, Shiou-Jing; Lin, Tzu-Chao; Lin, Y.-T.; Lippi, I.; Liu, G.; H., Liu,; Liu, J.; Liu, Q.; Liu, S.; Liu, Y.; Lombardi, P.; Long, Y. F.; Lorenz, Sebastian; Lu, Chang-Tien; Lu, F.; Lu, Haihua; Lu, Jixiang; Лубсандоржиев, Б.; Lubsandorzhiev, Sultim; Ludhová, L.; Luo, Fengjiao; Luo, Shiping; Lv, Zheng; Lyashuk, V. I.; Ma, Qianqian; Ma, Songyu; Ma, Xiaoqiang; Malyshkin, Yury; Mantovani, Fabio; Mao, Y.; Mari, Stefano Maria; Mayilyan, Davit; McDonough, William F.; Meng, G.; Meregaglia, A.; Meroni, E.; Mezzetto, M.; Min, Jun‐Ki; Miramonti, L.; Montuschi, M.; Morozov, N.; Mueller, T.; Muralidharan, Pavithra; Nastasi, M.; Naumov, D.; Наумова, Э.; Nemchenok, I.; Ning, Z.; Nunokawa, Hiroshi; Oberauer, L.; Ochoa-Ricoux, J. P.; Olshevskiy, A.; Ortica, F.; Pan, Hejiang; Paoloni, A.; Parkalian, Nina; Parmeggiano, S.; Pec, V.; Pelliccia, N.; Peng, H.; Poussot, Pascal; Pozzi, S.; Previtali, E.; Prummer, S.; Qi, Fengbin; Qi, Man; Qian, S.; Qian, X.; Qiao, Hao; Qin, Zhipeng; Ranucci, G.; Re, A.; Ren, Biying; Ren, Juwei; Rezinko, Taras; Ricci, B.; Robens, Markus; Romani, Aldo; Roskovec, B.; Ruan, X. C.; Рыбников, А.; Sadovsky, A.; Saggese, Paolo; Salamanna, G.; Sawatzki, Julia; Schuler, J.; Selyunin, A.; Shi, Gang; Shi, J. Y.; Shi, Yixin; Sinev, V. V.; Sirignano, C.; Sisti, M.; Smirnov, O.; Soiron, M.; Stahl, A.; Stančo, L.; Steinmann, J.; Strati, Virginia; Sun, G. X.; Sun, Xiaobo; Sun, Youting; Taichenachev, D.; Tang, Jin Peng; Tietzsch, Alexander; Tkachev, I.; Trzaska, W. H.; Tung, Y. C.; Waasen, Stefan van; Volpe, Cristina; Vorobel, V.; Votano, L.; Wang, C.; Wang, G.; Wang, H.; Wang, M.; Wang, R.; Wang, S.; Wang, W.; Wang, Y.; Wang, Z.; Wei, W; Wei, Yongqing; Weifels, Marcel; Ling, Wen; Wen, Yonggang; Wiebusch, C. H.; Wipperfurth, Scott A.; Wong, Steven Chan-Fai; Wonsak, Bjoern; Wu, Chengwen; Wu, Qingxiang; Wu, Zhang Jun; Wurm, M.; Wurtz, Jacques; Xi, Yufei; Xia, Dawen; Xia, John; Xiao, M.; Xie, Yudong; Xu, Jianhua; Xu, Lu; Xu, Yuan; Yan, Bin; Yan, X.; Yang, C.; Yang, Hyeon-Sik; Yang, L.; Yang, M. S.; Yang, Yuke; Yanovich, E.; Yao, Y.; Ye, M.; Ye, X.; Yegin, Ugur; Yermia, F.; Zhou, You; Yu, B. X.; Yu, C.; Yu, Ge; Yu, Zhichao; Yuan, Yuwei; Yuan, Z. Y.; Zanetti, M.; Zeng, Pan; Zeng, Shihao; Zeng, Tingxuan; Zhan, Liang; Zhang, C.; Zhang, F.; Zhang, G.; Zhang, H.; Zhang, J.; Zhang, Kunkun; Zhang, P.; Zhang, Q.; Zhang, T.; Zhang, X.; Zhang, Y.; Zhang, Z.; Zhao, Jianzhe; Zhao, Ming; Zhao, T. C.; Zhao, Yaxiong; Zheng, Hong; Zheng, Minshan; Zheng, Xiaobin; Zheng, Yongqing; Zhong, Weirong; Zhou, G.J.; Zhou, Jian; Zhou, L.; Zhou, Nan; Zhou, R.; Zhou, Shujia; Zhou, Wei; Zhou, Xingchen; Zhou, Yu; Zhu, Hongming; Zhu, K. J.; Zhuang, Hao; Zong, Liang; Zou, J. H.

doi:10.48550/arxiv.1508.07166

Cited by 58 publications

(71 citation statements)

References 2 publications

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“…Positions of the peak and valley, as well as the FWHM, could be extracted automatically. The SPE resolution 1 and the PV ratio could be calculated accordingly. The LED light was turned off when measuring DCR.…”

Section: Single Photoelectron Stationmentioning

confidence: 99%

See 1 more Smart Citation

Mass production and characterization of 3-inch PMTs for the JUNO experiment

Cao,

Xu,

et al. 2021

Preprint

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26,000 3-inch photomultiplier tubes (PMTs) have been produced for Jiangmen Underground Neutrino Observatory (JUNO) by the Hainan Zhanchuang Photonics Technology Co., Ltd (HZC) company in China and passed all acceptance tests with only 15 tubes rejected. The mass production began in 2018 and elapsed for about 2 years at a rate of ∼1,000 PMTs per month. The characterization of the PMTs was performed in the factory concurrently with production as a joint effort between HZC and JUNO. Fifteen performance parameters were tracked at different sampling rates, and novel working strategies were implemented to improve quality assurance. This constitutes the largest sample of 3-inch PMTs ever produced and studied in detail to date.

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Section: Single Photoelectron Stationmentioning

confidence: 99%

“…The Jiangmen Underground Neutrino Observatory (JUNO) [1] is a multipurpose neutrino experiment under construction in southern China. Its main detector is located 53 km from two nuclear power plants in a cavern with a 650 m overburden.…”

Section: Introductionmentioning

confidence: 99%

Mass production and characterization of 3-inch PMTs for the JUNO experiment

Cao,

Xu,

et al. 2021

Preprint

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“…The next generation of experiments will have τ ev much larger than the pioneer Homestake experiment that only detects a few events per year (Bahcall and Davis 1976). The forthcoming Jiangmen Underground Neutrino Observatory (JUNO; Adam et al 2015) experiment expects to measure a few tens of neutrinos per day (for instance 200 events per day or τ ev ≈ 7 min). The total experimental run time for most solar neutrino detectors is of the order of a few decades (for instance τ ex ≈ 10 yr), and future experiments will also have significant running times.…”

Section: Neutrino Flavor Oscillation Model and The Survivalmentioning

confidence: 99%

The Sun: Light Dark Matter and Sterile Neutrinos

Lopes

2021

Preprint

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Next-generation experiments allow for the possibility to testing the neutrino flavor oscillation model to very high levels of accuracy. Here, we explore the possibility that the dark matter in the current universe is made of two particles, a sterile neutrino and a very light dark matter particle. By using a 3+1 neutrino flavor oscillation model, we study how such a type of dark matter imprints the solar neutrino fluxes, spectra, and survival probabilities of electron neutrinos. The current solar neutrino measurements allow us to define an upper limit for the ratio of the mass of a light dark matter particle m φ and the Fermi constant G φ , such that G φ /m φ must be smaller than 10 30 G F eV −1 to be in agreement with current solar neutrino data from the Borexino, Sudbury Neutrino Observatory, and Super-Kamiokande detectors. Moreover, for models with a very small Fermi constant, the amplitude of the time variability must be lower than 3% to be consistent with current solar neutrino data. We also found that solar neutrino detectors like Darwin, able to measure neutrino fluxes in the low energy-range with high accuracy, will provide additional constraints to this class of models that complement the ones obtained from the current solar neutrino detectors.

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“…The central spherical detector is surrounded by a cylinder-shaped active water Cherenkov detector, to reduce the background produced by atmospheric muons. On top of that, a 3-layer tracker, made of plastic scintillator strips, is placed [1,2]. The expected energy resolution of the detector is 3%…”

Section: Introductionmentioning

confidence: 99%

JUNO Non-oscillation Physics

Settanta

2021

Preprint

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The JUNO observatory, a 20 kt liquid scintillator detector to be completed in 2022 in China, belongs to the next-generation of neutrino detectors, which share the common features of having a multi-ton scale and an energy resolution at unprecedented levels. Beside the ambitious goal of neutrino mass ordering determination, the JUNO Collaboration plans also to perform a wide series of other measurements in the neutrino and astroparticle fields, rare processes and searches for new physics. The detector characteristics will allow the detection of neutrinos from many sources, like supernovae, the Sun, atmospheric and geoneutrinos. Other potential studies accessible to JUNO include the search for exotic processes, such as nucleon decays, Dark Matter and magnetic monopoles interactions, light sterile neutrinos production. This work reviews the physics potential of JUNO about non-reactor neutrino sources, highlighting the unique contributions that the experiment will give to the various fields in the forthcoming years.

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JUNO Conceptual Design Report

Cited by 58 publications

References 2 publications

Mass production and characterization of 3-inch PMTs for the JUNO experiment

Mass production and characterization of 3-inch PMTs for the JUNO experiment

The Sun: Light Dark Matter and Sterile Neutrinos

JUNO Non-oscillation Physics

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