4 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
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…
Leveraging intermediate resonances to probe CP violation at colliders
Innes Bigaran, Joshua Isaacson, Taegyun Kim +1
We explore the phenomenological impact of interference in tree-level contributions to three-body final states in scattering processes. This work introduces a novel search…
NuHepMC: A standardized event record format for neutrino event generators
S. Gardiner, J. Isaacson, L. Pickering
Simulations of neutrino interactions are playing an increasingly important role in the pursuit of high-priority measurements for the field of particle physics. A significant techni…