activity
20182022
most citedSimultaneous measurement of proton and lepton kinematics in quasielastic-like -hydrocarbon interactions from 2 to 20 GeV

1 citations · 1 across the 1 of their papers we have counts for

collaborators

8 papers

hep-ex20221 cited

Simultaneous measurement of proton and lepton kinematics in quasielastic-like -hydrocarbon interactions from 2 to 20 GeV

The MINERvA Collaboration, D. Ruterbories, S. Akhter +71

Neutrino charged-current quasielastic-like scattering, a reaction category extensively used in neutrino oscillation measurements, probes nuclear effects that govern neutrino-nucleu…

hep-ex2019

Measurement of charged-current single production on hydrocarbon in the few-GeV region using MINERvA

T. Le, F. Akbar, L. Aliaga +63

The antineutrino scattering channel (nucleon(s)) is analyzed in the incident energy range 1.5 to 10 GeV using the MINERvA detecto…

hep-ex2019

Tuning the GENIE Pion Production Model with MINERvA Data

P. Stowell, L. Pickering, C. Wilkinson +68

Faced with unresolved tensions between neutrino interaction measurements at few-GeV neutrino energies, current experiments are forced to accept large systematic uncertainties to co…

hep-ex2019

Neutron measurements from anti-neutrino hydrocarbon reactions

M. Elkins, T. Cai, J. Chaves +72

Charged-current anti-neutrino interactions on hydrocarbon scintillator in the MINERvA detector are used to study activity from their final-state neutrons. To ensure that most of th…

hep-ex2018

Measurement of Quasielastic-Like Neutrino Scattering at ~ GeV on a Hydrocarbon Target

D. Ruterbories, K. Hurtado, J. Osta +70

MINERvA presents a new analysis of neutrino induced quasielastic-like interactions in a hydrocarbon tracking target. We report a double-differential cross section using the muon tr…

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…