Electron/pion separation with an Emulsion Cloud Chamber by using a Neural Network

We have studied the performance of a new algorithm for electron/pion separation in an Emulsion Cloud Chamber (ECC) made of lead and nuclear emulsion films. The software for separation consists of two parts: a shower reconstruction algorithm and a Neural Network that assigns to each reconstructed sho...

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Detalles Bibliográficos
Autores principales: Arrabito, L., Autiero, D., Bozza, C., Buontempo, S., Caffari, Y., Consiglio, L., Cozzi, M., D'Ambrosio, N., Lellis, G.De, Serio, M.De, Capua, F.Di, Ferdinando, D.Di, Marco, N.Di, Ereditato, A., Esposito, L.S., Gagnebin, S., Giacomelli, G., Giorgini, M., Grella, G., Hauger, M., Ieva, M., Csathy, J.Janicsko, Juget, F., Kreslo, I., Laktineh, I., Longhin, A., Mandrioli, G., Marotta, A., Marteau, J., Migliozzi, P., Monacelli, P., Moser, U., Muciaccia, M.T., Pastore, A., Patrizii, L., Pistillo, C., Pozzato, M., Romano, G., Rosa, G., Russo, A., Savvinov, N., Schembri, A., Lavina, L.Scotto, Simone, S., Sioli, M., Sirignano, C., Sirri, G., Strolin, P., Tioukov, V.
Lenguaje:eng
Publicado: 2007
Materias:
Other Fields of Physics
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/2/02/P02001
http://cds.cern.ch/record/1010668

Internet

https://dx.doi.org/10.1088/1748-0221/2/02/P02001
http://cds.cern.ch/record/1010668

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