5 papers
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…
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…
Design, waterproofing, and mass production of the 3-inch PMT frontend system of JUNO
Jilei Xu, Miao He, Cédric Cerna +628
Over 25,600 3-inch photomultiplier tubes (PMTs) have been instrumented for the central detector of the Jiangmen Underground Neutrino Observatory. Each PMT is equipped with a high-v…
Simulation of the Background from CO Reaction in the JUNO Scintillator
JUNO Collaboration, Thomas Adam, Kai Adamowicz +627
Large-scale organic liquid scintillator detectors are highly efficient in the detection of MeV-scale electron antineutrinos. These signal events can be detected through inverse bet…