From the 1 of 21 linked papers with an AI index.
3 citations · 5 across the 11 of their papers we have counts for
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Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector
A. Gavrikov, V. Cerrone, A. Serafini +65
Several neutrino detectors, KamLAND, Daya Bay, Double Chooz, RENO, and the forthcoming large-scale JUNO, rely on liquid scintillator to detect reactor antineutrino interactions. In…
Analysis of reactor burnup simulation uncertainties for antineutrino spectrum prediction
A. Barresi, M. Borghesi, A. Cammi +64
Nuclear reactors are a source of electron antineutrinos due to the presence of unstable fission products that undergo $β^-$ decay. They will be exploited by the JUNO experiment to…
The Design and Technology Development of the JUNO Central Detector
The JUNO Collaboration
The Jiangmen Underground Neutrino Observatory (JUNO) is a large scale neutrino experiment with multiple physics goals including deter mining the neutrino mass hierarchy, the accura…
Distillation and Stripping purification plants for JUNO liquid scintillator
C. Landini, M. Beretta, P. Lombardi +64
The optical and radiochemical purification of the scintillating liquid, which will fill the central detector of the JUNO experiment, plays a crucial role in achieving its scientifi…
Refractive index in the JUNO liquid scintillator
H. S. Zhang, M. Beretta, S. Cialdi +73
In the field of rare event physics, it is common to have huge masses of organic liquid scintillator as detection medium. In particular, they are widely used to study neutrino prope…