most citedMeasurement of inclusive charged-current $ν_{\numu}$ scattering on hydrocarbon at {<Enu>} 6 GeV with low three-momentum transfer

17 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

hep-ex2021★ 17 cited

Measurement of inclusive charged-current $ν_{\numu}$ scattering on hydrocarbon at {<Enu>} 6 GeV with low three-momentum transfer

M. V. Ascencio, D. A. Andrade, I. Mahbub +63

The \minerva experiment reports double-differential cross-section measurements for -carbon interactions with three-momentum transfer GeV obtained with medium…

hep-ex2021★ 13 cited

Exploring Neutrino-Nucleus Interactions in the GeV Regime using MINERvA

X. -G. Lu, Z. Ahmad Dar, F. Akbar +64

With the advance of particle accelerator and detector technologies, the neutrino physics landscape is rapidly expanding. As neutrino oscillation experiments enter the intensity and…

hep-ex2021★ 12 cited

Constraining the NuMI neutrino flux using inverse muon decay reactions in MINERvA

D. Ruterbories, Z. Ahmad Dar, F. Akbar +61

Inverse muon decay, , is a reaction whose cross-section can be predicted with very small uncertainties. It has a neutrino energy threshold of GeV and…

hep-ex2021

Measurement of inclusive charged-current cross sections as a function of muon kinematics at on hydrocarbon

D. Ruterbories, A. Filkins, Z. Ahmad Dar +60

MINERvA presents a new analysis of inclusive charged-current neutrino interactions on a hydrocarbon target. We report single and double-differential cross sections in muon transver…

hep-ex2021★ 10 cited

Use of Neutrino Scattering Events with Low Hadronic Recoil to Inform Neutrino Flux and Detector Energy Scale

A. Bashyal, D. Rimal, B. Messerly +60

Charged-current neutrino interactions with low hadronic recoil ("low-nu") have a cross-section that is approximately constant versus neutrino energy. These interactions have been u…

hep-ex2021

Neutral pion reconstruction using machine learning in the MINERvA experiment at GeV

A. Ghosh, B. Yaeggy, R. Galindo +53

This paper presents a novel neutral-pion reconstruction that takes advantage of the machine learning technique of semantic segmentation using MINERvA data collected between 2013-20…