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

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dc.creatorArrabito, L.
dc.creatorAutiero, D.
dc.creatorBozza, C.
dc.creatorBuontempo, S.
dc.creatorCaffari, Y.
dc.creatorConsiglio, L.
dc.creatorCozzi, M.
dc.creatorD'Ambrosio, N.
dc.creatorDe Lellis, G.
dc.creatorDe Serio, M.
dc.creatorDi Capua, F.
dc.creatorDi Ferdinando, D.
dc.creatorDi Marco, N.
dc.creatorEreditato, A.
dc.creatorEsposito, L. S.
dc.creatorGagnebin, S.
dc.creatorGiacomelli, G.
dc.creatorGiorgini, M.
dc.creatorGrella, G.
dc.creatorHauger, M.
dc.creatorIeva, M.
dc.creatorCsathy, J. Janicsko
dc.creatorJuget, F.
dc.creatorKreslo, I.
dc.creatorLaktineh, I.
dc.creatorLonghin, A.
dc.creatorMandrioli, G.
dc.creatorMarotta, A.
dc.creatorMarteau, J.
dc.creatorMigliozzi, P.
dc.creatorMonacelli, P.
dc.creatorMoser, U.
dc.creatorMuciaccia, M. T.
dc.creatorPastore, A.
dc.creatorPatrizii, L.
dc.creatorPistillo, C.
dc.creatorPozzato, M.
dc.creatorRomano, G.
dc.creatorRosa, G.
dc.creatorRusso, A.
dc.creatorSavvinov, N.
dc.creatorSchembri, A.
dc.creatorLavina, L. Scotto
dc.creatorSimone, S.
dc.creatorSioli, M.
dc.creatorSirignano, C.
dc.creatorSirri, G.
dc.creatorStrolin, P.
dc.creatorTioukov, V.
dc.date2007-01-17
dc.date.accessioned2026-07-07T12:20:32Z
dc.date.available2026-07-07T12:20:32Z
dc.descriptionWe 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 $e/π$ 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.
dc.identifierhttps://arxiv.org/abs/physics/0701192
dc.identifierhttp://arxiv.org/abs/physics/0701192
dc.identifierJINST 2:P02001,2007
dc.identifierdoi:10.1088/1748-0221/2/02/P02001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213094
dc.subjectData Analysis, Statistics and Probability
dc.titleElectron/pion separation with an Emulsion Cloud Chamber by using a Neural Network
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