activity
20202024
most citedNeutrino interaction classification with a convolutional neural network in the DUNE far detector

45 citations · 125 across the 11 of their papers we have counts for

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5 papers · 1 filter

hep-ex2023★ 17 cited

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

DUNE Collaboration, A. Abed Abud, B. Abi +1313

A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the MeV neutrinos produced by a Galactic core-collapse supernova if one s…

hep-ex2022★ 1 cited

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

DUNE Collaboration, A. Abed Abud, B. Abi +1253

Measurements of electrons from interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyo…

hep-ex2021

Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment

DUNE Collaboration, A. Abed Abud, B. Abi +1151

The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's se…

hep-ex2021★ 22 cited

Experiment Simulation Configurations Approximating DUNE TDR

DUNE Collaboration, B. Abi, R. Acciarri +966

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment consisting of a high-power, broadband neutrino beam, a highly cap…

hep-ex2020★ 11 cited

Long-baseline neutrino oscillation physics potential of the DUNE experiment

DUNE Collaboration, B. Abi, R. Acciarri +966

The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far…