161 citations · 938 across the 19 of their papers we have counts for
Showing 2018Show all
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physics.data-an2018★ 23 cited
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★ 82 cited
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-ex2018★ 47 cited
Measurement of the muon anti-neutrino double-differential cross section for quasi-elastic scattering on hydrocarbon at~ GeV
C. E. Patrick, L. Aliaga, A. Bashyal +64
We present double-differential measurements of anti-neutrino quasi-elastic scattering in the MINERvA detector. This study improves on a previous single differential measurement by…