45 citations · 99 across the 5 of their papers we have counts for
5 papers
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
DUNE Collaboration, A. Abed Abud, B. Abi +1221
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the techn…
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…
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…
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…
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…