60704 20190709135454.0 doi 10.1088/1748-0221/12/01/T01004 sideral 98216 ART-2017-98216 eng Renner, J. Background rejection in NEXT using deep neural networks 2017 Access copy available to the general public Unrestricted We investigate the potential of using deep learning techniques to reject background events in searches for neutrinoless double beta decay with high pressure xenon time projection chambers capable of detailed track reconstruction. The differences in the topological signatures of background and signal events can be learned by deep neural networks via training over many thousands of events. These networks can then be used to classify further events as signal or background, providing an additional background rejection factor at an acceptable loss of efficiency. The networks trained in this study performed better than previous methods developed based on the use of the same topological signatures by a factor of 1.2 to 1.6, and there is potential for further improvement. info:eu-repo/grantAgreement/ES/MINECO/FIS2014-53371-C04 info:eu-repo/grantAgreement/ES/MINECO/Consolider-Ingenio-2010/CSD2008-00037 info:eu-repo/grantAgreement/EC/FP7/339787/EU/Towards the NEXT generation of bb0nu experimets/NEXT info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.258 2017 INSTRUMENTS & INSTRUMENTATION 44 / 61 = 0.721 2017 Q3 T3 0.642 2017 Mathematical Physics 2017 Q2 Instrumentation 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Farbin, A. Vidal, J.M. Benlloch-Rodríguez, J.M. Botas, A. Ferrario, P. Gómez-Cadenas, J.J. Álvarez, V. Azevedo, C.D.R. Borges, F.I.G. Cárcel, S. Carrión, J.V. (orcid)0000-0002-6948-5101 Cebrián, S. Universidad de Zaragoza Cervera, A. Conde, C.A.N. Díaz, J. Diesburg, M. Esteve, R. Fernandes, L.M.P. Ferreira, A.L. Freitas, E.D.C. Goldschmidt, A. González-Díaz, D. Gutiérrez, R.M. Hauptman, J. Henriques, C.A.O. Morata, J.A.H. Herrero, V. Jones, B. Labarga, L. Laing, A. Lebrun, P. Liubarsky, I. López-March, N. Lorca, D. Losada, M. Martín-Albo, J. Martínez-Lema, G. Martínez, A. Monrabal, F. Monteiro, C.M.B. Mora, F.J. Moutinho, L.M. Nebot-Guinot, M. Novella, P. Nygren, D. Palmeiro, B. Para, A. Pérez, J. Querol, M. Ripoll, L. Rodríguez, J. Santos, F.P. Dos Santos, J.M.F. Serra, L. Shuman, D. Simón, A. Sofka, C. Sorel, M. Toledo, J.F. Torrent, J. Tsamalaidze, Z. Veloso, J.F.C.A. White, J. Webb, R. Yahlali, N. Yepes-Ramírez, H. 2004 390 Universidad de Zaragoza Dpto. Física Teórica Área Física Atóm.Molec.y Nucl. 12, 1 (2017), [21 pp] Journal of Instrumentation Journal of Instrumentation 1748-0221 933477 http://zaguan.unizar.es/record/60704/files/texto_completo.pdf Versión publicada 64534 http://zaguan.unizar.es/record/60704/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:60704 articulos driver 2019-07-09-11:42:22 ARTICLE