Background rejection in NEXT using deep neural networks

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Renner, J., Farbin, A., Vidal, J. Muñoz, 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., Cebrián, S., 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., Hernando Morata, J. A., 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.
Lenguaje:eng
Publicado: 2016
Materias:
hep-ex
Particle Physics - Experiment
physics.ins-det
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/12/01/T01004
http://cds.cern.ch/record/2217394

Internet

https://dx.doi.org/10.1088/1748-0221/12/01/T01004
http://cds.cern.ch/record/2217394

Ejemplares similares