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

45 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2021★ 1 cited

Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC

DUNE Collaboration, A. Abed Abud, B. Abi +1175

The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. Th…

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…

physics.ins-det2020★ 45 cited

Neutrino interaction classification with a convolutional neural network in the DUNE far detector

DUNE Collaboration, B. Abi, R. Acciarri +968

The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure -violation in the neutrino sector as part of a wider physics…

physics.ins-det2020★ 10 cited

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III: DUNE Far Detector Technical Coordination

B. Abi, R. Acciarri, Mario A. Acero +958

The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…