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19962026
most citedImproved search for muon-neutrino to electron-neutrino oscillations in MINOS

696 citations · 9.1k across the 112 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

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★ 7 cited

An Error Analysis Toolkit for Binned Counting Experiments

B. Messerly, R. Fine, A. Olivier +42

We introduce the MINERvA Analysis Toolkit (MAT), a utility for centralizing the handling of systematic uncertainties in HEP analyses. The fundamental utilities of the toolkit are t…

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…