Cosmic Background Removal with Deep Neural Networks in SBND
Cosmic Background Removal with Deep Neural Networks in SBND
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Collaboration, SBND , Acciarri, R , Adams, C , Backhouse, C , Badgett, W , Bagby, L , Barker, D , Basque, V , Betancourt, M , Bhanderi, A , Bonifazi, C , Brailsford, D , Brandt, A G , Brooks, T , Carneiro, M F , Chen, Y , Chen, H , Crespo-Anadón, J I , I L de Icaza Astiz , De Roeck, A , M Del Tutto , V Di Benedetto , Ereditato, A , Evans, J J , Ezeribe, A C , Fitzpatrick, R S , Fleming, B T , Furic, I , Furmanski, A P , Gao, S , Garcia-Gamez, D , Frandini, H , G Ge , Gollapinni, S , Goodwin, O , Green, P , Guenette, R , Ham, T , Henzerling, J , Holin, A , Jones, R S , Karagiorgi, G , Kashur, L , Ketchum, W , Kudryavtsev, V A , Larkin, J , Lay, H , Littlejohn, B R , Louis, W C , Machado, A A , Malek, M , Mardsen, D , Mastbaum, A , Mavrokoridis, K , McConkey, N , Meddage, V , Méndez, D P , Mettler, T , Mistry, K , Molina, J , Moura, C A , Nowak, J A , Palamara, O , Pandey, V , Pater, J , Paulucci, L , Pimentel, V L , Putnam, G , Qian, X , Raguzin, E , Reggiani-Guzzo, M , Rivera, D , Roda, M , Ross-Lonergan, M , Scanavini, G , Scarff, A , Schmitz, D W , Schukraft, A , Segreto, E , M Soares Nunes , Soderberg, M , Söldner-Rembold, S , Spitz, J , Spooner, N J C , Stancari, M , Stenico, G V , Szelc, A , Tang, W , J Tena Vidal , Torretta, D , Toups, M , Touramanis, C , Tripathi, M , Tufanli, S , Tyley, E , Valdiviesso, G A , Worcester, E , J Yu , Zennamo, J and Zglam, A
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic part...
Alternative Titles
Full title
Cosmic Background Removal with Deep Neural Networks in SBND
Authors, Artists and Contributors
Author / Creator
Acciarri, R
Adams, C
Backhouse, C
Badgett, W
Bagby, L
Barker, D
Basque, V
Betancourt, M
Bhanderi, A
Bonifazi, C
Brailsford, D
Brandt, A G
Brooks, T
Carneiro, M F
Chen, Y
Chen, H
Crespo-Anadón, J I
I L de Icaza Astiz
De Roeck, A
M Del Tutto
V Di Benedetto
Ereditato, A
Evans, J J
Ezeribe, A C
Fitzpatrick, R S
Fleming, B T
Furic, I
Furmanski, A P
Gao, S
Garcia-Gamez, D
Frandini, H
G Ge
Gollapinni, S
Goodwin, O
Green, P
Guenette, R
Ham, T
Henzerling, J
Holin, A
Jones, R S
Karagiorgi, G
Kashur, L
Ketchum, W
Kudryavtsev, V A
Larkin, J
Lay, H
Littlejohn, B R
Louis, W C
Machado, A A
Malek, M
Mardsen, D
Mastbaum, A
Mavrokoridis, K
McConkey, N
Meddage, V
Méndez, D P
Mettler, T
Mistry, K
Molina, J
Moura, C A
Nowak, J A
Palamara, O
Pandey, V
Pater, J
Paulucci, L
Pimentel, V L
Putnam, G
Qian, X
Raguzin, E
Reggiani-Guzzo, M
Rivera, D
Roda, M
Ross-Lonergan, M
Scanavini, G
Scarff, A
Schmitz, D W
Schukraft, A
Segreto, E
M Soares Nunes
Soderberg, M
Söldner-Rembold, S
Spitz, J
Spooner, N J C
Stancari, M
Stenico, G V
Szelc, A
Tang, W
J Tena Vidal
Torretta, D
Toups, M
Touramanis, C
Tripathi, M
Tufanli, S
Tyley, E
Valdiviesso, G A
Worcester, E
J Yu
Zennamo, J
Zglam, A
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2466558497
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2466558497
Other Identifiers
E-ISSN
2331-8422
