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An eightfold equivalence-preserving speedup of the JUNO OMILREC vertex and energy reconstruction
Guangbao Sun, Qishan Liu, Wenjie Wu +7
The Jiangmen Underground Neutrino Observatory (JUNO) reconstructs each event's vertex and energy with OMILREC, a maximum-likelihood fit that scans all large photomultipl…
Final assessment of radioactive impurities in the JUNO detector
Thomas Adam, Fengpeng An, Costas Andreopoulos +569
The Jiangmen Underground Neutrino Observatory (JUNO) collaboration has completed the construction of the 20,000-ton liquid scintillator detector and the associated muon veto detect…
A Low-energy Threshold and Multi-messenger Trigger System for the JUNO Experiment
Thomas Adam, Fengpeng An, Costas Andreopoulos +563
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kiloton liquid scintillator neutrino detector, located 650 meters (1800 m.w.e.) underground in Jiangmen, Guangdong, Chi…
Embedded underwater front-end electronics for the 3-inch photomultipliers in the JUNO experiment
Cédric Cerna, Miao He, Xiaoshan Jiang +591
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kton liquid scintillator-based, low-radioactivity, multi-purpose neutrino detector located 693 meters (1800 m.w.e.) und…
Suppression of photon hits in large liquid scintillator detectors via spatiotemporal deep learning
Junle Li, Zhaoxiang Wu, Guanda Gong +5
Liquid scintillator detectors are widely used in neutrino experiments due to their low energy threshold and high energy resolution. Despite the tiny abundance of C in LS, th…
Deep Learning-Based C Pile-Up Identification in the JUNO Experiment
Wenxing Fang, Weidong Li, Wuming Luo +2
Measuring neutrino mass ordering (NMO) poses a fundamental challenge in neutrino physics. To address this, the Jiangmen Underground Neutrino Observatory (JUNO) experiment is schedu…