SBND中使用深度神经网络进行宇宙背景去除
摘要：液体氩时间投影室是受到中微子束流照射的，他们在或接近地表运行，在记录单个中微子诱导事件的同时，宇宙宇宙线和其他宇宙粒子会击中探测器。实际上，这意味着来自地表液体氩时间投影室的数据将以宇宙粒子为主，既是事件触发的来源，也是真正的中微子触发事件中大多数粒子的来源。在这项工作中，我们展示了将深度学习技术应用于SBND探测器的完整探测器图像的语义分割，以消除这些背景粒子的新颖应用。我们使用这种技术在单个图像像素级别确定记录的活动是源于宇宙粒子还是中微子相互作用。
作者：SBND Collaboration: R. Acciarri (15), C. Adams (1), C. Andreopoulos (21 and 29), J. Asaadi (34), M. Babicz (6), C. Backhouse (35), W. Badgett (15), L. Bagby (15), D. Barker (30), V. Basque (23), M. C. Q. Bazetto (4 and 5), M. Betancourt (15), A. Bhanderi (23), A. Bhat (32), C. Bonifazi (13), D. Brailsford (20), A. G. Brandt (34), T. Brooks (30), M. F. Carneiro (3), Y. Chen (2), H. Chen (3), G. Chisnall (31), J. I. Crespo-Anad''on (8), E. Cristaldo (26), C. Cuesta (8), I. L. de Icaza Astiz (31), A. De Roeck (6), G. de S''a Pereira (21 and 29), M. Del Tutto (15), V. Di Benedetto (15), A. Ereditato (2), J. J. Evans (23), A. C. Ezeribe (30), R. S. Fitzpatrick (24), B. T. Fleming (37), W. Foreman (19), D. Franco (37), I. Furic (16), A. P. Furmanski (25), S. Gao (3), D. Garcia-Gamez (17), H. Frandini (4), G. Ge (10), I. Gil-Botella (8), S. Gollapinni (22 and 33), O. Goodwin (23), P. Green (23), W. C. Griffith (31), R. Guenette (18), P. Guzowski (23), T. Ham (21), J. Henzerling (21), A. Holin (35), B. Howard (15), R. S. Jones (21), D. Kalra (10), G. Karagiorgi (10), L. Kashur (9), W. Ketchum (15), M. J. Kim (15), V. A. Kudryavtsev (30), J. Larkin (3), H. Lay (20), I. Lepetic (28), B. R. Littlejohn (19), W. C. Louis (22), A. A. Machado (4), M. Malek (30), D. Mardsen (23), C. Mariani (36), F. Marinho (14), A. Mastbaum (28), K. Mavrokoridis (21), N. McConkey (23), V. Meddage (16), D. P. M''endez (3), T. Mettler (2), K. Mistry (23), A. Mogan (33), J. Molina (26), M. Mooney (9), L. Mora (23), C. A. Moura (11), J. Mousseau (24), A. Navrer-Agasson (23), F. J. Nicolas-Arnaldos (17), J. A. Nowak (20), O. Palamara (15), V. Pandey (16), J. Pater (23), L. Paulucci (11), V. L. Pimentel (4 and 5), F. Psihas (15), G. Putnam (7), X. Qian (3), E. Raguzin (3), H. Ray (16), M. Reggiani-Guzzo (23), D. Rivera (27), M. Roda (21), M. Ross-Lonergan (10), G. Scanavini (37), A. Scarff (30), D. W. Schmitz (7), A. Schukraft (15), E. Segreto (4), M. Soares Nunes (32), M. Soderberg (32), S. S"oldner-Rembold (23), J. Spitz (24), N. J. C. Spooner (30), M. Stancari (15), G. V. Stenico (4), A. Szelc (23), W. Tang (33), J. Tena Vidal (21), D. Torretta (15), M. Toups (15), C. Touramanis (21), M. Tripathi (16), S. Tufanli (6), E. Tyley (30), G. A. Valdiviesso (12), E. Worcester (3), M. Worcester (3), G. Yarbrough (33), J. Yu (34), B. Zamorano (17), J. Zennamo (15), A. Zglam (30) ((1) Argonne National Laboratory, (2) Universit"at Bern, (3) Brookhaven National Laboratory, (4) Universidade Estadual de Campinas, (5) Center for Information Technology Renato Archer Campinas, (6) CERN, (7) Enrico Fermi Institute, (8) CIEMAT, (9) Colorado State University, (10) Columbia University, (11) Universidade Federal do ABC, (12) Universidade Federal de Alfenas, (13) Universidade Federal do Rio de Janeiro, (14) Universidade Federal de S~ao Carlos, (15) Fermi National Accelerator Laboratory, (16) University of Florida, (17) Universidad de Granada, (18) Harvard University, (19) Illinois Institute of Technology, (20) Lancaster University, (21) University of Liverpool, (22) Los Alamos National Laboratory, (23) University of Manchester, (24) University of Michigan, (25) University of Minnesota, (26) FIUNA Facultad de Ingenier''ia, (27) University of Pennsylvania, (28) Rutgers University, (29) STFC, (30) University of Sheffield, (31) University of Sussex, (32) Syracuse University, (33) University of Tennessee at Knoxville, (34) University of Texas at Arlington, (35) University College London, (36) Center for Neutrino Physics, (37) Wright Laboratory)
论文ID：2012.01301
分类：Data Analysis, Statistics and Probability
分类简称：physics.data-an
提交时间：2021-04-20