Abstract
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. The electron neutrino (antineutrino) selection efficiency peaks at 90% (94%) and exceeds 85% (90%) for reconstructed neutrino energies between 2-5 GeV. The muon neutrino (antineutrino) event selection is found to have a maximum efficiency of 96% (97%) and exceeds 90% (95%) efficiency for reconstructed neutrino energies above 2 GeV. When considering all electron neutrino and antineutrino interactions as signal, a selection purity of 90% is achieved. These event selections are critical to maximize the sensitivity of the experiment to $CP$-violating effects.
Highlights
TO DUNEOver the last twenty years neutrino oscillations [1,2] have become well-established [3–10] and the field is moving into the precision measurement era
three angles describing the rotation between the neutrino mass and flavor eigenstates
A particular priority is the observation of CP-violation in the neutrino sector
Summary
Over the last twenty years neutrino oscillations [1,2] have become well-established [3–10] and the field is moving into the precision measurement era. Neutrino oscillation formalism describes observed data with six fundamental parameters. These are three angles describing the rotation between the neutrino mass and flavor eigenstates, two mass splittings (differences between the squared masses of the neutrino mass states), and the CPviolating phase, δCP. If sinðδCPÞ is nonzero the vacuum oscillation probabilities of neutrinos and antineutrinos will be different. DUNE [11] is a next-generation neutrino oscillation experiment with a primary scientific goal of making precise measurements of the parameters governing long-baseline neutrino oscillation. Oscillation probabilities are inferred from comparison of the observed neutrino spectra at the near and far detectors which are used to constrain values of the neutrino oscillation parameters
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
