Background rejection in NEXT using deep neural networks

Renner, J.; Farbin, A.; Muñoz Vidal, J.; M. Benlloch-Rodríguez, J.; M. P. Botas, Alexandre; Ferrario, P.; Gómez-Cadenas, J.J.; Álvarez, V.; Azevedo, C.D.R.; Borges, F.I.G.M.; Cárcel, S.; Carríon, J.V.; Cebrián, S.; Cervera, A.; Conde, C.A.N.; Dı́az, J.; Diesburg, M.; Esteve, R.; M. P. Fernandes, L.; L. Ferreira, A.; Freitas, E.D.C.; Goldschmidt, A.; González-Díaz, D.; Gutiérrez, R.M.; M. Hauptman, J.; A. O. Henriques, C.; A. Hernando Morata, J.; Herrero, V.; J. P. 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.; M. B. Monteiro, C.; Mora, Francisco; Moutinho, Luiz; Nebot-Guinot, M.; Novella, P.; R. Nygren, D.; Palmeiro, B.; Para, A.; Pérez, J.; Querol, M.; Ripoll, L.; Rodríguez, J.; Santos, F.P.; dos Santos, J.M.F.; Serra, Llorenç; 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, H.

doi:10.1088/1748-0221/12/01/t01004

Public

Background rejection in NEXT using deep neural networks

Published in Journal of Instrumentation • Jan 16, 2017

Authors:

J. Renner

A. Farbin

J. Muñoz Vidal

Abstract

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...

Subject

Computer science

Deep learning

Artificial intelligence

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!