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Neutrino interaction classification with a convolutional neural network in the DUNE far detector / DUNE Collaboration
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure $CP$-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on a convolutional neural network has been developed to provide highly efficient and pure selections of electron neutrino and muon neutrino charged-current interactions. [...]
arXiv:2006.15052; FERMILAB-PUB-20-241-E.- 2020-11-09 - 20 p. - Published in : Phys. Rev. D 102 (2020) 092003 Fulltext: 2006.15052 - PDF; fermilab-pub-20-241-e - PDF; Fulltext from Publisher: PhysRevD.102 - PDF; 10.1103_PhysRevD.102.092003 - PDF; External link: Fermilab Library Server (fulltext available)

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