3 citations · 5 across the 2 of their papers we have counts for
2 papers
physics.ins-det2024★ 3 cited
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…
physics.ins-det2023★ 2 cited
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 decay. They will be exploited by the JUNO experiment to…