Title
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
Date Issued
09 November 2020
Access level
open access
Resource Type
journal article
Author(s)
Abi B.
Acciarri R.
Acero M.A.
Adamov G.
Adams D.
Adinolfi M.
Ahmad Z.
Ahmed J.
Alion T.
Alonso Monsalve S.
Alt C.
Anderson J.
Andreopoulos C.
Andrews M.P.
Andrianala F.
Andringa S.
Ankowski A.
Antonova M.
Antusch S.
Aranda-Fernandez A.
Ariga A.
Arnold L.O.
Arroyave M.A.
Asaadi J.
Aurisano A.
Aushev V.
Autiero D.
Azfar F.
Back H.
Back J.J.
Backhouse C.
Baesso P.
Bagby L.
Bajou R.
Balasubramanian S.
Baldi P.
Bambah B.
Barao F.
Barenboim G.
Barker G.J.
Barkhouse W.
Barnes C.
Barr G.
Barranco Monarca J.
Barros N.
Barrow J.L.
Bashyal A.
Basque V.
Bay F.
Beacom J.F.
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 R.M.
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 F.D.M.
Blazey G.C.
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 S.B.
Boyden D.
Bracinik J.
Braga D.
Brailsford D.
University of Arizona
Publisher(s)
American Physical Society
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.
Volume
102
Issue
9
Language
English
OCDE Knowledge area
Física de partículas, Campos de la Física
Astronomía
Scopus EID
2-s2.0-85096669682
Source
Physical Review D
ISSN of the container
24700010
Sponsor(s)
This document was prepared by the DUNE Collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. This work was supported by CNPq, FAPERJ, FAPEG and FAPESP, Brazil; CFI, Institute of Particle Physics and NSERC, Canada; CERN; MŠMT, Czech Republic; ERDF, H2020-EU and MSCA, European Union; CNRS/IN2P3 and CEA, France; INFN, Italy; FCT, Portugal; NRF, South Korea; Comunidad de Madrid, Fundación “La Caixa” and MICINN, Spain; State Secretariat for Education, Research and Innovation and SNSF, Switzerland; TÜBİTAK, Turkey; The Royal Society and UKRI/STFC, United Kingdom; DOE and NSF, United States of America.
National Science Foundation - 1801996, 1806849, 1913789, 1913983, 2013217
Multiple Sclerosis Center of Atlanta
European Organization for Nuclear Research
Natural Sciences and Engineering Research Council of Canada
European Commission
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Canada Foundation for Innovation
Fundação de Amparo à Pesquisa do Estado de São Paulo
Ministerstvo Školství, Mládeže a Tělovýchovy
Fundação para a Ciência e a Tecnologia
Conselho Nacional de Desenvolvimento Científico e Tecnológico
National Research Foundation of Korea
Instituto Nazionale di Fisica Nucleare
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Ministerio de Ciencia e Innovación
Fundação de Amparo à Pesquisa do Estado de Goiás
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Staatssekretariat für Bildung, Forschung und Innovation
European Regional Development Fund
Munich Institute for Astro- and Particle Physics
Sources of information:
Directorio de Producción Científica
Scopus