- Main
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
- Author(s): Abi, B
- Acciarri, R
- Acero, MA
- Adamov, G
- Adams, D
- Adinolfi, M
- Ahmad, Z
- Ahmed, J
- Alion, T
- Alonso Monsalve, S
- Alt, C
- Anderson, J
- Andreopoulos, C
- Andrews, MP
- Andrianala, F
- Andringa, S
- Ankowski, A
- Antonova, M
- Antusch, S
- Aranda-Fernandez, A
- Ariga, A
- Arnold, LO
- Arroyave, MA
- Asaadi, J
- Aurisano, A
- Aushev, V
- Autiero, D
- Azfar, F
- Back, H
- Back, JJ
- Backhouse, C
- Baesso, P
- Bagby, L
- Bajou, R
- Balasubramanian, S
- Baldi, P
- Bambah, B
- Barao, F
- Barenboim, G
- Barker, GJ
- Barkhouse, W
- Barnes, C
- Barr, G
- Barranco Monarca, J
- Barros, N
- Barrow, JL
- Bashyal, A
- Basque, V
- Bay, F
- Bazo Alba, JL
- Beacom, JF
- Bechetoille, E
- Behera, B
- Bellantoni, L
- Bellettini, G
- Bellini, V
- Beltramello, O
- Belver, D
- Benekos, N
- Bento Neves, F
- Berger, J
- Berkman, S
- Bernardini, P
- Berner, RM
- Berns, H
- Bertolucci, S
- Betancourt, M
- Bezawada, Y
- Bhattacharjee, M
- Bhuyan, B
- Biagi, S
- Bian, J
- Biassoni, M
- Biery, K
- Bilki, B
- Bishai, M
- Bitadze, A
- Blake, A
- Blanco Siffert, B
- Blaszczyk, FDM
- Blazey, GC
- Blucher, E
- Boissevain, J
- Bolognesi, S
- Bolton, T
- Bonesini, M
- Bongrand, M
- Bonini, F
- Booth, A
- Booth, C
- Bordoni, S
- Borkum, A
- Boschi, T
- Bostan, N
- Bour, P
- Boyd, SB
- Boyden, D
- Bracinik, J
- Braga, D
- Brailsford, D
- et al.
Published Web Location
https://doi.org/10.1103/PhysRevD.102.092003Abstract
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.