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Cosmic Ray Background Removal with Deep Neural Networks in SBND

R. Acciarri,C. Adams,C. Andreopoulos,J. Asaadi,M. Babicz,C. Backhouse,W. Badgett,L. Bagby,D. Barker,V Basque,M. C. Q. Bazetto,M. Betancourt,A. Bhanderi,A. Bhat,C. Bonifazi,D. Brailsford, A. G. Brandt,T. Brooks,M. F. Carneiro,Y. Chen,H. Chen,G. Chisnall,J. Crespo-Anadon,E. Cristaldo,C. Cuesta,I. L. de Icaza Astiz,A. De Roeck,G. de Sa Pereira,M. Del Tutto,V Di Benedetto,A. Ereditato,J. J. Evans,A. C. Ezeribe, R. S. Fitzpatrick,B. T. Fleming,W. Foreman,D. Franco,I Furic,A. P. Furmanski,S. Gao,D. Garcia-Gamez, H. Frandini,G. Ge,I Gil-Botella,S. Gollapinni,O. Goodwin,P. Green,W. C. Griffith,R. Guenette,P. Guzowski, T. Ham, J. Henzerling,A. Holin,B. Howard,R. S. Jones,D. Kalra,G. Karagiorgi,L. Kashur,W. Ketchum,M. J. Kim,V. A. Kudryavtsev,J. Larkin, H. Lay,I Lepetic,B. R. Littlejohn,W. C. Louis,A. A. Machado,M. Malek, D. Mardsen,C. Mariani,F. Marinho,A. Mastbaum,K. Mavrokoridis,N. McConkey,V Meddage,D. P. Mendez,T. Mettler,K. Mistry, A. Mogan,J. Molina,M. Mooney, L. Mora,C. A. Moura,J. Mousseau,A. Navrer-Agasson, F. J. Nicolas-Arnaldos,J. A. Nowak,O. Palamara,V Pandey,J. Pater,L. Paulucci,V. L. Pimentel,F. Psihas,G. Putnam,X. Qian,E. Raguzin,H. Ray,M. Reggiani-Guzzo,D. Rivera,M. Roda,M. Ross-Lonergan,G. Scanavini,A. Scarff,D. W. Schmitz,A. Schukraft,E. Segreto,M. Soares Nunes,M. Soderberg,S. Soldner-Rembold,J. Spitz,N. J. C. Spooner,M. Stancari,G. Stenico,A. Szelc,W. Tang,J. Tena Vidal,D. Torretta,M. Toups,C. Touramanis,M. Tripathi,S. Tufanli,E. Tyley,G. A. Valdiviesso,E. Worcester,M. Worcester,G. Yarbrough,J. Yu,B. Zamorano,J. Zennamo, A. Zglam

Frontiers in Artificial Intelligence（2021）

Cited 11|Views24
Key words
deep learning,neutrino physics,SBN program,SBND,UNet,liquid Ar detectors
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