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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…
Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC
DUNE Collaboration, A. Abed Abud, B. Abi +1220
DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6x6x6m3 liquid argon…
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…
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…
Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks
SHiP Collaboration
This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to…