New graph neural network and convolutional neural network reconstructions of neutrino inelasticity are developed and used to statistically separate neutrinos from antineutrinos, yielding updated neutrino mass ordering sensitivities for IceCube DeepCore and Upgrade.
Prado Rodriguez, Measurement of the Neutrino Mass Ordering with 9.28 Years of IceCube DeepCore Data, Ph.D
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
hep-ex 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Incorporating Inelasticity Reconstruction into Neutrino Mass Ordering Studies with IceCube
New graph neural network and convolutional neural network reconstructions of neutrino inelasticity are developed and used to statistically separate neutrinos from antineutrinos, yielding updated neutrino mass ordering sensitivities for IceCube DeepCore and Upgrade.