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Machine Learning Neutrino-Nucleus Cross Sections II: More Leptons
Daniel C. Hackett, Joshua Isaacson, Shirley Weishi Li +2
Neutrino-nucleus cross sections are essential inputs for long-baseline neutrino oscillation experiments, yet remain challenging to model with high precision. Recent work demonstrat…
Improving Neutrino Oscillation Measurements through Event Classification
Sebastian A. R. Ellis, Daniel C. Hackett, Shirley Weishi Li +2
Precise neutrino energy reconstruction is essential for next-generation long-baseline oscillation experiments, yet current methods remain limited by large uncertainties in neutrino…
Machine Learning Neutrino-Nucleus Cross Sections
Daniel C. Hackett, Joshua Isaacson, Shirley Weishi Li +2
Neutrino-nucleus scattering cross sections are critical theoretical inputs for long-baseline neutrino oscillation experiments. However, robust modeling of these cross sections rema…