KamLAND finds 7 events consistent with background in 9+ kton-year exposure using NN classification and sets 90% CL DSNB flux upper limits of 38-43 cm^{-2} s^{-1} plus model-independent antineutrino flux bounds below 13.3 MeV.
Improved Predictions of Reactor Antineutrino Spectra
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A KamLAND global fit using Daya Bay-measured antineutrino spectra instead of the Huber-Müller model lowers the best-fit Δm²₂₁ from 7.53 to 7.50 ×10^{-5} eV² and reduces tension with JUNO.
citing papers explorer
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Search for Diffuse Supernova Neutrino Background in the Full KamLAND Dataset with Neural-Network-Based Event Classification
KamLAND finds 7 events consistent with background in 9+ kton-year exposure using NN classification and sets 90% CL DSNB flux upper limits of 38-43 cm^{-2} s^{-1} plus model-independent antineutrino flux bounds below 13.3 MeV.
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Refined Global Fit of KamLAND Data and the Daya Bay Antineutrino Energy Spectrum
A KamLAND global fit using Daya Bay-measured antineutrino spectra instead of the Huber-Müller model lowers the best-fit Δm²₂₁ from 7.53 to 7.50 ×10^{-5} eV² and reduces tension with JUNO.