9 citations · 16 across the 12 of their papers we have counts for
3 papers · 1 filter
Machine-learning-based neutrino-event generation constrained by experimental measurements
Jose Luis Bonilla, Krzysztof M. Graczyk, Rwik Dharmapal Banerjee +3
We present a generative surrogate for charged-current \(ν_μ\)-nucleus scattering that can be calibrated to measured differential cross sections without event-level experimental sam…
Inclusive electron-nucleus cross section models from domain adaptation
Krzysztof M. Graczyk, Beata E. Kowal, Rwik Dharmapal Banerjee +3
We apply transfer learning (TL) to construct data-driven models of inclusive electron-nucleus cross sections. Starting from an ensemble of deep neural networks pretrained on \(^{12…
A Consistent Treatment of Final-State Interactions in NuWro Quasielastic Channel
Rwik Dharmapal Banerjee
In this proceeding, I present a modified treatment of final-state interactions (FSI) in quasielastic (QE) lepton-nucleus scattering within the spectra function (SF) framework of th…