Neutrino interaction classification with a convolutional neural network in the DUNE far detector

B. Abi; R. Acciarri; M. A. Acero; G. Adamov; D. Adams; M. Adinolfi; Z. Ahmad; J. Ahmed; T. Alion; S Alonso Monsalve; C. Alt; J. Anderson; C. Andreopoulos; M. P. Andrews; F. Andrianala; S. Andringa; A. Ankowski; M. Antonova; S. Antusch; A. Aranda-Fernandez; A. Ariga; L. O. Arnold; M. A. Arroyave; J. Asaadi; A. Aurisano; V. Aushev; D. Autiero; F. Azfar; H. Back; J. J. Back; C. Backhouse; P. Baesso; L. Bagby; R. Bajou; S. Balasubramanian; P. Baldi; B. Bambah; F. Barao; G. Barenboim; G. J. Barker; W. Barkhouse; C. Barnes; G. Barr; J Barranco Monarca; N. Barros; J. L. Barrow; A. Bashyal; V. Basque; F. Bay; J. L. Bazo Alba; J. F. Beacom; E. Bechetoille; B. Behera; L. Bellantoni; G. Bellettini; V. Bellini; O. Beltramello; D. Belver; N. Benekos; F. Bento Neves; J. Berger; S. Berkman; P. Bernardini; R. M. Berner; H. Berns; S. Bertolucci; M. Betancourt; Y. Bezawada; M. Bhattacharjee; B. Bhuyan; S. Biagi; J. Bian; M. Biassoni; K. Biery; B. Bilki; M. Bishai; A. Bitadze; A. Blake; B. Blanco Siffert; F. D. M. Blaszczyk; G. C. Blazey; E. Blucher; J. Boissevain; S. Bolognesi; T. Bolton; M. Bonesini; M. Bongrand; F. Bonini; A. Booth; C. Booth; S. Bordoni; A. Borkum; T. Boschi; N. Bostan; P. Bour; S. B. Boyd; D. Boyden; J. Bracinik; D. Braga; D. Brailsford; DUNE Collaboration; Matheus Hostert

doi:10.1103/PhysRevD.102.092003

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Neutrino interaction classification with a convolutional neural network in the DUNE far detector

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Neutrino interaction classification with a convolutional neural network in the DUNE far detector

B. Abi, R. Acciarri, M. A. Acero, G. Adamov, D. Adams, M. Adinolfi, Z. Ahmad, J. Ahmed, T. Alion, S Alonso Monsalve, …

Physical review. D, Vol.102(9), 092003

11/09/2020

DOI: 10.1103/PhysRevD.102.092003

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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.

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Title: Subtitle: Neutrino interaction classification with a convolutional neural network in the DUNE far detector
Creators: B. Abi - University of Oxford
R. Acciarri - Fermi National Accelerator Laboratory
M. A. Acero - University of Atlántico
G. Adamov - Georgian Technical University
D. Adams - Brookhaven National Laboratory
M. Adinolfi - University of Bristol
Z. Ahmad - Variable Energy Cyclotron Centre
J. Ahmed - University of Warwick
T. Alion - University of Sussex
S Alonso Monsalve - European Organization for Nuclear Research
C. Alt - ETH Zurich
J. Anderson - Argonne National Laboratory
C. Andreopoulos - University of Liverpool
M. P. Andrews - Fermi National Accelerator Laboratory
F. Andrianala - University of Antananarivo
S. Andringa - LIP - Laboratory of Instrumentation and Experimental Particle Physics
A. Ankowski - SLAC National Accelerator Laboratory
M. Antonova - Instituto de Física Corpuscular
S. Antusch - University of Basel
A. Aranda-Fernandez - Univ Colima, Colima, Mexico
A. Ariga - University of Bern
L. O. Arnold - Columbia University
M. A. Arroyave - EIA University
J. Asaadi - The University of Texas at Arlington
A. Aurisano - University of Cincinnati
V. Aushev - Taras Shevchenko National University of Kyiv
D. Autiero - Institut de Physique des 2 Infinis de Lyon
F. Azfar - University of Oxford
H. Back - Pacific Northwest National Laboratory
J. J. Back - University of Warwick
C. Backhouse - University College London
P. Baesso - University of Bristol
L. Bagby - Fermi National Accelerator Laboratory
R. Bajou - Centre National de la Recherche Scientifique
S. Balasubramanian - Yale University
P. Baldi - University of California, Irvine
B. Bambah - University of Hyderabad
F. Barao - University of Lisbon
G. Barenboim - Instituto de Física Corpuscular
G. J. Barker - University of Warwick
W. Barkhouse - University of North Dakota
C. Barnes - University of Michigan
G. Barr - University of Oxford
J Barranco Monarca - Universidad de Guanajuato
N. Barros - LIP - Laboratory of Instrumentation and Experimental Particle Physics
J. L. Barrow - Fermi National Accelerator Laboratory
A. Bashyal - Oregon State University
V. Basque - University of Manchester
F. Bay - National Institute for Subatomic Physics
J. L. Bazo Alba - Pontifical Catholic University of Peru
J. F. Beacom - The Ohio State University
E. Bechetoille - Institute of Nuclear Physics of Lyon
B. Behera - Colorado State University
L. Bellantoni - Fermi National Accelerator Laboratory
G. Bellettini - University of Pisa
V. Bellini - University of Catania
O. Beltramello - European Organization for Nuclear Research
D. Belver - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
N. Benekos - European Organization for Nuclear Research
F. Bento Neves - Lab Instrumentacao & Fis Expt Particulas, P-1649003 Lisbon, Portugal
J. Berger - University of Pittsburgh
S. Berkman - Fermi National Accelerator Laboratory
P. Bernardini - University of Salento
R. M. Berner - University of Bern
H. Berns - University of California, Davis
S. Bertolucci - Istituto Nazionale di Fisica Nucleare, Sezione di Bologna
M. Betancourt - Fermi National Accelerator Laboratory
Y. Bezawada - University of California, Davis
M. Bhattacharjee - Indian Institute of Technology Guwahati
B. Bhuyan - Indian Institute of Technology Guwahati
S. Biagi - Istituto Nazionale di Fisica Nucleare
J. Bian - University of California, Irvine
M. Biassoni - Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca
K. Biery - Fermi National Accelerator Laboratory
B. Bilki - University of Iowa
M. Bishai - Brookhaven National Laboratory
A. Bitadze - University of Manchester
A. Blake - Lancaster University
B. Blanco Siffert - Univ Fed Rio de Janeiro, BR-21941901 Rio De Janeiro, RJ, Brazil
F. D. M. Blaszczyk - Fermi National Accelerator Laboratory
G. C. Blazey - Northern Illinois University
E. Blucher - University of Chicago
J. Boissevain - Los Alamos National Laboratory
S. Bolognesi - Institut de Recherche sur les Lois Fondamentales de l'Univers
T. Bolton - Kansas State University
M. Bonesini - Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca
M. Bongrand - Grand Accélérateur National d'Ions Lourds
F. Bonini - Brookhaven National Laboratory
A. Booth - University of Sheffield
C. Booth - University of Sheffield
S. Bordoni - European Organization for Nuclear Research
A. Borkum - University of Sussex
T. Boschi - Durham University
N. Bostan - University of Iowa
P. Bour - Czech Technical University in Prague
S. B. Boyd - University of Warwick
D. Boyden - Northern Illinois University
J. Bracinik - University of Birmingham
D. Braga - Fermi National Accelerator Laboratory
D. Brailsford - Lancaster University
DUNE Collaboration
Matheus Hostert (Contributor) - Physics and Astronomy
Resource Type: Journal article
Publication Details: Physical review. D, Vol.102(9), 092003
DOI: 10.1103/PhysRevD.102.092003
ISSN: 2470-0010
eISSN: 2470-0029
Publisher: Amer Physical Soc
Number of pages: 20
Grant note: CERN State Secretariat for Education, Research and Innovation, Switzerland FAPEG, Brazil; Fundacao de Amparo a Pesquisa do Estado do Goias (FAPEG) MR/T019530/1 / FLF; UK Research & Innovation (UKRI) ST/S000747/1; ST/S003398/1; ST/R006709/1; ST/R000271/1; ST/I001204/1; ST/N000250/1; ST/N000668/1; ST/F002335/1; ST/M002853/1; ST/K00090X/1; ST/N000277/1; ST/M007030/1; ST/J005428/1; ST/L005573/1; ST/R000042/1; ST/K006797/1; ST/M00273X/1; ST/S000879/1; ST/S000909/1; ST/S004696/1 / Science and Technology Facilities Council; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC) INFN, Italy; Istituto Nazionale di Fisica Nucleare (INFN) Institute of Particle Physics, Canada UKRI/STFC, United Kingdom; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC) Comunidad de Madrid, Spain; Comunidad de Madrid CNRS/IN2P3, France; Centre National de la Recherche Scientifique (CNRS)
Language: English
Date published: 11/09/2020
Academic Unit: Physics and Astronomy
Record Identifier: 9984945915802771

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