Supervised ML classification of neutrino events by interaction channel prior to energy reconstruction improves accuracy and sensitivity by 10-20% in simulated DUNE analyses while remaining robust to generator mismodeling.
Title resolution pending
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
representative citing papers
Realistic variations in final-state interaction modeling can distort reconstructed neutrino energy spectra in DUNE-like experiments by amounts comparable to or exceeding those from changes in Δm²₃₂ or δ_CP, creating a potential degeneracy.
MicroBooNE sets the strongest limits to date on the Higgs-portal scalar mixing angle θ below ~3×10^{-4} for masses 110-155 MeV using kaon decays in the NuMI beam and 2.01×10^{21} POT exposure.
The study evaluates and contrasts sophisticated and empirical model components in GENIE for pionless neutrino-argon interactions using recent MicroBooNE measurements.
A new 13-liter liquid argon test stand achieved 0.25 ppb impurity concentration and 1.5 ms electron lifetime.
citing papers explorer
-
The role of final-state interaction modeling in neutrino energy reconstruction and oscillation measurements
Realistic variations in final-state interaction modeling can distort reconstructed neutrino energy spectra in DUNE-like experiments by amounts comparable to or exceeding those from changes in Δm²₃₂ or δ_CP, creating a potential degeneracy.
-
Search for the production of Higgs-portal scalar bosons in the NuMI beam using the MicroBooNE detector
MicroBooNE sets the strongest limits to date on the Higgs-portal scalar mixing angle θ below ~3×10^{-4} for masses 110-155 MeV using kaon decays in the NuMI beam and 2.01×10^{21} POT exposure.