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

Arrabito, L.; Mandrioli, G.; Patrizii, L.; Hauger, M.; Bozza, C.; Caffari, Y.; Cozzi, M.; Simone, S.; Consiglio, L.; Tioukov, V.; Pistillo, C.; Sioli, M.; Longhin, A.; Giacomelli, G.; Capua, F.Di; Buontempo, S.; Savvinov, N.; Marco, N.Di; Romano, G.; D'Ambrosio, N.; Lellis, G.De; Ereditato, A.; Schembri, A.; Serio, M.De; Marteau, J.; Kreslo, I.; Grella, G.; Rosa, G.; Pastore, A.; Csathy, J.Janicsko; Monacelli, P.; Lavina, L.Scotto; Juget, F.; Pozzato, M.; Giorgini, M.; Moser, U.; Laktineh, I.; Muciaccia, M.T.; Ieva, M.; Autiero, D.; Sirri, G.; Marotta, A.; Gagnebin, S.; Russo, A.; Ferdinando, D.Di; Sirignano, C.; Strolin, P.; Migliozzi, P.; Esposito, L.S.

doi:10.1088/1748-0221/2/02/P02001

Article
Report number	physics/0701192
Title	Electron/pion separation with an Emulsion Cloud Chamber by using a Neural Network
Author(s)	Arrabito, L. (Lyon, IPN) ; Autiero, D. (Lyon, IPN) ; Bozza, C. (INFN, Salerno ; Salerno U.) ; Buontempo, S. (INFN, Naples ; Naples U.) ; Caffari, Y. (Lyon, IPN) ; Consiglio, L. (Bologna U. ; INFN, Bologna) ; Cozzi, M. (Bologna U. ; INFN, Bologna) ; D'Ambrosio, N. (Gran Sasso) ; Lellis, G.De (INFN, Naples ; Naples U.) ; Serio, M.De (Bari U. ; INFN, Bari) ; Capua, F.Di (INFN, Naples ; Naples U.) ; Ferdinando, D.Di (Bologna U. ; INFN, Bologna) ; Marco, N.Di (INFN, Aquila ; L'Aquila U.) ; Ereditato, A. (Bern U.) ; Esposito, L.S. (Gran Sasso) ; Gagnebin, S. (Neuchatel U.) ; Giacomelli, G. (Bologna U. ; INFN, Bologna) ; Giorgini, M. (Bologna U. ; INFN, Bologna) ; Grella, G. (INFN, Salerno ; Salerno U.) ; Hauger, M. (Neuchatel U.) ; Ieva, M. (Bari U. ; INFN, Bari) ; Csathy, J.Janicsko (Neuchatel U.) ; Juget, F. (Neuchatel U.) ; Kreslo, I. (Bern U.) ; Laktineh, I. (Lyon, IPN) ; Longhin, A. (INFN, Padua ; Padua U.) ; Mandrioli, G. (Bologna U. ; INFN, Bologna) ; Marotta, A. (INFN, Naples ; Naples U.) ; Marteau, J. (Lyon, IPN) ; Migliozzi, P. (INFN, Naples ; Naples U.) ; Monacelli, P. (INFN, Aquila ; L'Aquila U.) ; Moser, U. (Bern U.) ; Muciaccia, M.T. (Bari U. ; INFN, Bari) ; Pastore, A. (Bari U. ; INFN, Bari) ; Patrizii, L. (Bologna U. ; INFN, Bologna) ; Pistillo, C. (Bern U.) ; Pozzato, M. (Bologna U. ; INFN, Bologna) ; Romano, G. (INFN, Salerno ; Salerno U.) ; Rosa, G. (Rome U. ; INFN, Rome) ; Russo, A. (INFN, Naples ; Naples U.) ; Savvinov, N. (Bern U.) ; Schembri, A. (Rome U. ; INFN, Rome) ; Lavina, L.Scotto (INFN, Naples ; Naples U.) ; Simone, S. (Bari U. ; INFN, Bari) ; Sioli, M. (Bologna U. ; INFN, Bologna) ; Sirignano, C. (INFN, Salerno ; Salerno U.) ; Sirri, G. (Bologna U. ; INFN, Bologna) ; Strolin, P. (INFN, Naples ; Naples U.) ; Tioukov, V. (INFN, Naples ; Naples U.)
Affiliation	(Lab. Naz. Gran Sasso, INFN, Assergi (L'Aquila), Italy) ; (Univ. Bari and INFN, Italy) ; (Univ. Bern, Switzerland) ; (Univ. Bologna and INFN, Bologna, Italy) ; (Univ. Aquila and INFN, L'Aquila, Italy) ; (IPNL, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, Villeurbanne, France) ; (Univ. Federico II Napoli and INFN, Napoli, Italy) ; (Univ. Neuchâtel, Switzerland) ; (Univ. Padova and INFN, Padova, Italy) ; (Univ. Roma "La Sapienza" and INFN, Roma, Italy)
Publication	2007
Imprint	17 Jan 2007
Number of pages	17
In:	JINST 2 (2007) P02001
DOI	10.1088/1748-0221/2/02/P02001
Subject category	Other Fields of Physics
Accelerator/Facility, Experiment	CERN SPS ; OPERA CNGS1
Abstract	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 shower the probability to be an electron or a pion. The performance has been studied for the ECC of the OPERA experiment [1]. The $e/\pi$ separation algorithm has been optimized by using a detailed Monte Carlo simulation of the ECC and tested on real data taken at CERN (pion beams) and at DESY (electron beams). The algorithm allows to achieve a 90% electron identification efficiency with a pion misidentification smaller than 1% for energies higher than 2 GeV.
Copyright/License	Open Access