110870 20230519145536.0 doi 10.1007/JHEP01(2021)189 sideral 126478 ART-2021-126478 eng Kekic, M Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment 2021 Access copy available to the general public Unrestricted Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high-energy physics. In this paper, we attempt to understand the potential of CNNs for event classification in the NEXT experiment, which will search for neutrinoless double-beta decay in Xe-136. To do so, we demonstrate the usage of CNNs for the identification of electron-positron pair production events, which exhibit a topology similar to that of a neutrinoless double-beta decay event. These events were produced in the NEXT-White high-pressure xenon TPC using 2.6 MeV gamma rays from a Th-228 calibration source. We train a network on Monte Carlo-simulated events and show that, by applying on-the-fly data augmentation, the network can be made robust against differences between simulation and data. The use of CNNs offers significant improvement in signal efficiency and background rejection when compared to previous non-CNN-based analyses. info:eu-repo/semantics/openAccess by-nd http://creativecommons.org/licenses/by-nd/3.0/es/ 6.376 2021 PHYSICS, PARTICLES & FIELDS 6 / 29 = 0.207 2021 Q1 T1 0.895 2021 Nuclear and High Energy Physics 2021 Q2 10.3 2021 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Adams, C Woodruff, K Renner, J Church, E Del Tutto, M Morata, JAH Gomez-Cadenas, JJ Alvarez, V Arazi, L Arnquist, IJ Azevedo, CDR Bailey, K Ballester, F Benlloch-Rodriguez, JM Borges, FIGM Byrnes, N Carcel, S Carrion, JV Cebrian, S Universidad de Zaragoza (orcid)0000-0002-6948-5101 Conde, CAN Contreras, T Diaz, G Diaz, J Diesburg, M Escada, J Esteve, R Felkai, R Fernandes, AFM Fernandes, LMP Ferrario, P Ferreira, AL Freitas, EDC Generowicz, J Ghosh, S Goldschmidt, A Gonzalez-Diaz, D Guenette, R Gutierrez, RM Haefner, J Hafidi, K Hauptman, J Henriques, CAO Herrero, P Herrero, V Ifergan, Y Jones, BJP Labarga, L Laing, A Lebrun, P Lopez-March, N Losada, M Mano, RDP Martin-Albo, J Martinez, A Martinez-Lema, G Martinez-Vara, M McDonald, AD Meziani, ZE Monrabal, F Monteiro, CMB Mora, FJ Vidal, JM Novella, P Nygren, DR Palmeiro, B Para, A Perez, J Querol, M Redwine, AB Ripoll, L Garcia, YR Rodriguez, J Rogers, L Romeo, B Romo-Luque, C Santos, FP dos Santos, JMF Simon, A Sofka, C Sorel, M Stiegler, T Toledo, JF Torrent, J Uson, A Veloso, JFCA Webb, R Weiss-Babai, R White, JT Yahlali, N 2004 390 Universidad de Zaragoza Dpto. Física Teórica Área Física Atóm.Molec.y Nucl. 1 (2021), 189 J. high energy phys. Journal of High Energy Physics 1126-6708 107662 http://zaguan.unizar.es/record/110870/files/texto_completo.pdf Postprint 2089661 http://zaguan.unizar.es/record/110870/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:110870 articulos driver 2023-05-18-15:36:29 ARTICLE