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Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

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Title: Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
Authors: Abud, AA
Abi, B
Acciarri, R
Acero, MA
Adames, MR
Adamov, G
Adamowski, M
Adams, D
Adinolfi, M
Aduszkiewicz, A
Aguilar, J
Ahmad, Z
Ahmed, J
Aimard, B
Ali-Mohammadzadeh, B
Alion, T
Allison, K
Monsalve, SA
AlRashed, M
Alt, C
Alton, A
Alvarez, R
Amedo, P
Anderson, J
Andreopoulos, C
Andreotti, M
Andrews, M
Andrianala, F
Andringa, S
Anfimov, N
Ankowski, A
Antoniassi, M
Antonova, M
Antoshkin, A
Antusch, S
Aranda-Fernandez, A
Arellano, L
Arnold, LO
Arroyave, MA
Asaadi, J
Asquith, L
Aurisano, A
Aushev, V
Autiero, D
Lara, VA
Ayala-Torres, M
Azfar, F
Babicz, M
Back, A
Back, H
Back, JJ
Backhouse, C
Bagaturia, I
Bagby, L
Balashov, N
Balasubramanian, S
Baldi, P
Baller, B
Bambah, B
Barao, F
Barenboim, G
Barker, G
Barkhouse, W
Barnes, C
Barr, G
Barranco Monarca, J
Barros, A
Barros, N
Barrow, JL
Basharina-Freshville, A
Bashyal, A
Basque, V
Batchelor, C
Das Chagas, EB
Battat, J
Battisti, F
Bay, F
Bazetto, MCQ
Bazo Alba, J
Beacom, JF
Bechetoille, E
Behera, B
Beigbeder, C
Bellantoni, L
Bellettini, G
Bellini, V
Beltramello, O
Benekos, N
Benitez Montiel, C
Neves, FB
Berger, J
Berkman, S
Bernardini, P
Berner, RM
Bersani, A
Bertolucci, S
Betancourt, M
Betancur Rodriguez, A
Bevan, A
Bezawada, Y
Bezerra, TS
Bhardwaj, A
Bhatnagar, V
Bhattacharjee, M
Bhattarai, D
Bhuller, S
Bhuyan, B
Biagi, S
Bian, J
Biassoni, M
Biery, K
Bilki, B
Bishai, M
Bitadze, A
Blake, A
Blaszczyk, F
Blazey, G
Blucher, E
Boissevain, J
Bolognesi, S
Bolton, T
Bomben, L
Bonesini, M
Bongrand, M
Bonilla-Diaz, C
Bonini, F
Booth, A
Boran, F
Bordoni, S
Borkum, A
Bostan, N
Bour, P
Bourgeois, C
Boyden, D
Bracinik, J
Braga, D
Brailsford, D
Branca, A
Brandt, A
Bremer, J
Breton, D
Brew, C
Brice, SJ
Brizzolari, C
Bromberg, C
Brooke, J
Bross, A
Brunetti, G
Brunetti, M
Buchanan, N
Budd, H
Butorov, I
Cagnoli, I
Cai, T
Caiulo, D
Calabrese, R
Calafiura, P
Calcutt, J
Calin, M
Calvez, S
Calvo, E
Caminata, A
Campanelli, M
Caratelli, D
Carber, D
Carceller, J
Carini, G
Carlus, B
Carneiro, MF
Carniti, P
Terrazas, IC
Carranza, H
Carroll, T
Castano Forero, JF
Castillo, A
Castromonte, C
Catano-Mur, E
Cattadori, C
Cavalier, F
Cavallaro, G
Cavanna, F
Centro, S
Cerati, G
Cervelli, A
Cervera Villanueva, A
Chalifour, M
Chappell, A
Chardonnet, E
Charitonidis, N
Chatterjee, A
Chattopadhyay, S
Neyra, MC
Chen, H
Chen, M
Chen, Y
Chen, Z
Chen-Wishart, Z
Cheon, Y
Cherdack, D
Chi, C
Childress, S
Chirco, R
Chiriacescu, A
Chisnall, G
Cho, K
Choate, S
Chokheli, D
Chong, PS
Christensen, A
Christian, D
Christodoulou, G
Chukanov, A
Chung, M
Church, E
Cicero, V
Clarke, P
Cline, G
Coan, TE
Cocco, AG
Coelho, J
Colton, N
Conley, E
Conley, R
Conrad, J
Convery, M
Copello, S
Cova, P
Cremaldi, L
Cremonesi, L
Crespo-Anadon, J
Crisler, M
Cristaldo, E
Crnkovic, J
Cross, R
Cudd, A
Cuesta, C
Cui, Y
Cussans, D
Dalager, O
Da Motta, H
Peres, LDS
David, C
David, Q
Davies, GS
Davini, S
Dawson, J
De, K
De, S
Debbins, P
De Bonis, I
Decowski, M
De Gouvea, A
De Holanda, PC
De Icaza Astiz, IL
Deisting, A
De Jong, P
Delbart, A
Delepine, D
Delgado, M
Dell'Acqua, A
Delmonte, N
De Lurgio, P
De Mello Neto, JR
DeMuth, DM
Dennis, S
Densham, C
Deptuch, GW
De Roeck, A
De Romeri, V
De Souza, G
Devi, R
Dharmapalan, R
Dias, M
Diaz, F
Diaz, J
Di Domizio, S
Di Giulio, L
Ding, P
Di Noto, L
Dirkx, G
Distefano, C
Diurba, R
Diwan, M
Djurcic, Z
Doering, D
Dolan, S
Dolek, F
Dolinski, M
Domine, L
Donon, Y
Douglas, D
Douillet, D
Dragone, A
Drake, G
Drielsma, F
Duarte, L
Duchesneau, D
Duffy, K
Dunne, P
Dutta, B
Duyang, H
Dvornikov, O
Dwyer, D
Dyshkant, A
Eads, M
Earle, A
Edmunds, D
Eisch, J
Emberger, L
Emery, S
Englezos, P
Ereditato, A
Erjavec, T
Escobar, C
Eurin, G
Evans, JJ
Ewart, E
Ezeribe, AC
Fahey, K
Falcone, A
Fani, M
Farnese, C
Farzan, Y
Fedoseev, D
Felix, J
Feng, Y
Fernandez-Martinez, E
Fernandez Menendez, P
Fernandez Morales, M
Ferraro, F
Fields, L
Filip, P
Filthaut, F
Fiorini, M
Fischer, V
Fitzpatrick, RS
Flanagan, W
Fleming, B
Flight, R
Fogarty, S
Foreman, W
Fowler, J
Fox, W
Franc, J
Francis, K
Franco, D
Freeman, J
Freestone, J
Fried, J
Friedland, A
Robayo, FF
Fuess, S
Furic, IK
Furman, K
Furmanski, AP
Gabrielli, A
Gago, A
Gallagher, H
Gallas, A
Gallego-Ros, A
Gallice, N
Galymov, V
Gamberini, E
Gamble, T
Ganacim, F
Gandhi, R
Gandrajula, R
Gao, F
Gao, S
Garcia-Gamez, D
Garcia-Peris, MA
Gardiner, S
Gastler, D
Gauvreau, J
Ge, G
Geffroy, N
Gelli, B
Gendotti, A
Gent, S
Ghorbani-Moghaddam, Z
Giammaria, P
Giammaria, T
Giangiacomi, N
Gibin, D
Gil-Botella, I
Gilligan, S
Girerd, C
Giri, A
Gnani, D
Gogota, O
Gold, M
Gollapinni, S
Gollwitzer, K
Gomes, RA
Gomez Bermeo, L
Gomez Fajardo, LS
Gonnella, F
Gonzalez-Diaz, D
Gonzalez-Lopez, M
Goodman, MC
Goodwin, O
Goswami, S
Gotti, C
Goudzovski, E
Grace, C
Gran, R
Granados, E
Granger, P
Grant, A
Grant, C
Gratieri, D
Green, P
Greenler, L
Greer, J
Grenard, J
Griffith, C
Groh, M
Grudzinski, J
Grzelak, K
Gu, W
Guardincerri, E
Guarino, V
Guarise, M
Guenette, R
Guerard, E
Guerzoni, M
Guffanti, D
Guglielmi, A
Guo, B
Gupta, A
Gupta, V
Guthikonda, K
Gutierrez, R
Guzowski, P
Guzzo, MM
Gwon, S
Ha, C
Haaf, K
Habig, A
Hadavand, H
Haenni, R
Hahn, A
Haiston, J
Hamacher-Baumann, P
Hamernik, T
Hamilton, P
Han, J
Harris, DA
Hartnell, J
Hartnett, T
Harton, J
Hasegawa, T
Hasnip, C
Hatcher, R
Hatfield, KW
Hatzikoutelis, A
Hayes, C
Hayrapetyan, K
Hays, J
Hazen, E
He, M
Heavey, A
Heeger, KM
Heise, J
Henry, S
Morquecho, MH
Herner, K
Hewes, J
Hilgenberg, C
Hill, T
Hillier, SJ
Himmel, A
Hinkle, E
Hirsch, LR
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Holin, A
Hoppe, E
Horton-Smith, GA
Hostert, M
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Howell, R
Hoyos, J
Hristova, I
Hronek, MS
Huang, J
Hulcher, Z
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Ilic, N
Iliescu, AM
Illingworth, R
Ingratta, G
Ioannisian, A
Irwin, B
Isenhower, L
Itay, R
Jackson, CM
Jain, V
James, E
Jang, W
Jargowsky, B
Jediny, F
Jena, D
Jeong, Y
Jesus-Valls, C
Ji, X
Jiang, L
Jimenez, S
Jipa, A
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Johnson, W
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Judah, M
Jung, C
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Kaboth, A
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Kakorin, I
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Kalra, D
Kamiya, F
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Kaplan, DM
Karagiorgi, G
Karaman, G
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Wresilo, K
Wret, C
Wu, W
Wu, W
Xiao, Y
Xie, F
Yaeggy, B
Yandel, E
Yang, G
Yang, K
Yang, T
Yankelevich, A
Yershov, N
Yonehara, K
Yoon, Y
Young, T
Yu, B
Yu, H
Yu, H
Yu, J
Yu, Y
Yuan, W
Zaki, R
Zalesak, J
Zambelli, L
Zamorano, B
Zani, A
Zazueta, L
Zeller, G
Zennamo, J
Zeug, K
Zhang, C
Zhang, S
Zhang, Y
Zhao, M
Zhivun, E
Zhu, G
Zimmerman, ED
Zucchelli, S
Zuklin, J
Zutshi, V
Zwaska, R
Item Type: Journal Article
Abstract: Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation.
Issue Date: 12-Oct-2022
Date of Acceptance: 12-Sep-2022
URI: http://hdl.handle.net/10044/1/100336
DOI: 10.1140/epjc/s10052-022-10791-2
ISSN: 1124-1861
Publisher: SpringerOpen
Start Page: 1
End Page: 19
Journal / Book Title: European Physical Journal C: Particles and Fields
Volume: 82
Issue: 10
Copyright Statement: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development.
Sponsor/Funder: Science and Technology Facilities Council (STFC)
Science and Technology Facilities Council
Funder's Grant Number: PP/E000509/1
ST/W000636/1
Keywords: Science & Technology
Physical Sciences
Physics, Particles & Fields
Physics
Science & Technology
Physical Sciences
Physics, Particles & Fields
Physics
physics.ins-det
physics.ins-det
hep-ex
0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics
0206 Quantum Physics
Nuclear & Particles Physics
Publication Status: Published
Open Access location: https://link-springer-com.iclibezp1.cc.ic.ac.uk/article/10.1140/epjc/s10052-022-10791-2
Article Number: ARTN 903
Online Publication Date: 2022-10-12
Appears in Collections:Physics
High Energy Physics



This item is licensed under a Creative Commons License Creative Commons