40 citations · 40 across the 1 of their papers we have counts for
3 papers
physics.data-an2018
Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment
G. N. Perdue, A. Ghosh, M. Wospakrik +53
We present a simulation-based study using deep convolutional neural networks (DCNNs) to identify neutrino interaction vertices in the MINERvA passive targets region, and illustrate…
hep-ex2018
Measurement of final-state correlations in neutrino muon-proton mesonless production on hydrocarbon at GeV
X. -G. Lu, M. Betancourt, T. Walton +69
Final-state kinematic imbalances are measured in mesonless production of in the MINERvA tracker. Initial- and final-state nuclear effects are probed using…
hep-ex2017★ 40 cited
Direct Measurement of Nuclear Dependence of Charged Current Quasielastic-like Neutrino Interactions using MINERvA
M. Betancourt, A. Ghosh, T. Walton +53
Charged-current interactions on carbon, iron, and lead with a final state hadronic system of one or more protons with zero mesons are used to investigate the influence of the…