124 citations · 307 across the 14 of their papers we have counts for
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Cosmic Background Removal with Deep Neural Networks in SBND
SBND Collaboration, R. Acciarri, C. Adams +128
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors whil…
Prospects for Beyond the Standard Model Physics Searches at the Deep Underground Neutrino Experiment
DUNE Collaboration, B. Abi, R. Acciarri +970
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a…
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
DUNE Collaboration, B. Abi, A. Abed Abud +987
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of m. It is installed at the CERN Neutrino Plat…
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…