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

Identifieur interne : 000074 ( Hal/Corpus ); précédent : 000073; suivant : 000075

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

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

Source :

RBID : Hal:in2p3-00141769

English descriptors

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.

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Hal:in2p3-00141769

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<name sortKey="Giacomelli, G" sort="Giacomelli, G" uniqKey="Giacomelli G" first="G." last="Giacomelli">G. Giacomelli</name>
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<name sortKey="Grella, G" sort="Grella, G" uniqKey="Grella G" first="G." last="Grella">G. Grella</name>
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<name sortKey="Hauger, M" sort="Hauger, M" uniqKey="Hauger M" first="M." last="Hauger">M. Hauger</name>
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<name sortKey="Ieva, M" sort="Ieva, M" uniqKey="Ieva M" first="M." last="Ieva">M. Ieva</name>
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<name sortKey="Janicsko Csathy, J" sort="Janicsko Csathy, J" uniqKey="Janicsko Csathy J" first="J." last="Janicsko Csathy">J. Janicsko Csathy</name>
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<name sortKey="Juget, F" sort="Juget, F" uniqKey="Juget F" first="F." last="Juget">F. Juget</name>
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<name sortKey="Kreslo, I" sort="Kreslo, I" uniqKey="Kreslo I" first="I." last="Kreslo">I. Kreslo</name>
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<name sortKey="Laktineh, I" sort="Laktineh, I" uniqKey="Laktineh I" first="I." last="Laktineh">I. Laktineh</name>
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<author>
<name sortKey="Longhin, A" sort="Longhin, A" uniqKey="Longhin A" first="A." last="Longhin">A. Longhin</name>
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<author>
<name sortKey="Mandrioli, G" sort="Mandrioli, G" uniqKey="Mandrioli G" first="G." last="Mandrioli">G. Mandrioli</name>
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<author>
<name sortKey="Marotta, A" sort="Marotta, A" uniqKey="Marotta A" first="A." last="Marotta">A. Marotta</name>
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<author>
<name sortKey="Marteau, J" sort="Marteau, J" uniqKey="Marteau J" first="J." last="Marteau">J. Marteau</name>
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<author>
<name sortKey="Migliozzi, P" sort="Migliozzi, P" uniqKey="Migliozzi P" first="P." last="Migliozzi">P. Migliozzi</name>
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<author>
<name sortKey="Monacelli, P" sort="Monacelli, P" uniqKey="Monacelli P" first="P." last="Monacelli">P. Monacelli</name>
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<author>
<name sortKey="Moser, U" sort="Moser, U" uniqKey="Moser U" first="U." last="Moser">U. Moser</name>
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<author>
<name sortKey="Muciaccia, M T" sort="Muciaccia, M T" uniqKey="Muciaccia M" first="M. T." last="Muciaccia">M. T. Muciaccia</name>
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<author>
<name sortKey="Pastore, A" sort="Pastore, A" uniqKey="Pastore A" first="A." last="Pastore">A. Pastore</name>
</author>
<author>
<name sortKey="Patrizii, L" sort="Patrizii, L" uniqKey="Patrizii L" first="L." last="Patrizii">L. Patrizii</name>
</author>
<author>
<name sortKey="Pistillo, C" sort="Pistillo, C" uniqKey="Pistillo C" first="C." last="Pistillo">C. Pistillo</name>
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<author>
<name sortKey="Pozzato, M" sort="Pozzato, M" uniqKey="Pozzato M" first="M." last="Pozzato">M. Pozzato</name>
</author>
<author>
<name sortKey="Romano, G" sort="Romano, G" uniqKey="Romano G" first="G." last="Romano">G. Romano</name>
</author>
<author>
<name sortKey="Rosa, G" sort="Rosa, G" uniqKey="Rosa G" first="G." last="Rosa">G. Rosa</name>
</author>
<author>
<name sortKey="Russo, A" sort="Russo, A" uniqKey="Russo A" first="A." last="Russo">A. Russo</name>
</author>
<author>
<name sortKey="Savvinov, N" sort="Savvinov, N" uniqKey="Savvinov N" first="N." last="Savvinov">N. Savvinov</name>
</author>
<author>
<name sortKey="Schembri, A" sort="Schembri, A" uniqKey="Schembri A" first="A." last="Schembri">A. Schembri</name>
</author>
<author>
<name sortKey="Scotto Lavina, L" sort="Scotto Lavina, L" uniqKey="Scotto Lavina L" first="L." last="Scotto Lavina">L. Scotto Lavina</name>
</author>
<author>
<name sortKey="Simone, S" sort="Simone, S" uniqKey="Simone S" first="S." last="Simone">S. Simone</name>
</author>
<author>
<name sortKey="Sioli, M" sort="Sioli, M" uniqKey="Sioli M" first="M." last="Sioli">M. Sioli</name>
</author>
<author>
<name sortKey="Sirignano, C" sort="Sirignano, C" uniqKey="Sirignano C" first="C." last="Sirignano">C. Sirignano</name>
</author>
<author>
<name sortKey="Sirri, G" sort="Sirri, G" uniqKey="Sirri G" first="G." last="Sirri">G. Sirri</name>
</author>
<author>
<name sortKey="Stroling, P" sort="Stroling, P" uniqKey="Stroling P" first="P." last="Stroling">P. Stroling</name>
</author>
<author>
<name sortKey="Tioukovg, V" sort="Tioukovg, V" uniqKey="Tioukovg V" first="V." last="Tioukovg">V. Tioukovg</name>
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</analytic>
<series>
<title level="j">Journal of Instrumentation</title>
<idno type="ISSN">1748-0221</idno>
<imprint>
<date type="datePub">2007</date>
</imprint>
</series>
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<term>Particle identification methods</term>
<term>Particle tracking detectors</term>
</keywords>
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</teiHeader>
<front>
<div type="abstract" xml:lang="en">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.</div>
</front>
</TEI>
<hal api="V3">
<titleStmt>
<title xml:lang="en">Electron/pion separation with an Emulsion Cloud Chamber by using a Neural Network</title>
<author role="aut">
<persName>
<forename type="first">L.</forename>
<surname>Arrabito</surname>
</persName>
<email></email>
<idno type="halauthor">53877</idno>
<affiliation ref="#struct-2"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">D.</forename>
<surname>Autiero</surname>
</persName>
<email></email>
<idno type="halauthor">5096</idno>
<affiliation ref="#struct-2"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">C.</forename>
<surname>Bozza</surname>
</persName>
<email></email>
<idno type="halauthor">23849</idno>
</author>
<author role="aut">
<persName>
<forename type="first">S.</forename>
<surname>Buontempo</surname>
</persName>
<email></email>
<idno type="halauthor">17498</idno>
</author>
<author role="aut">
<persName>
<forename type="first">Y.</forename>
<surname>Caffari</surname>
</persName>
<email></email>
<idno type="halauthor">50946</idno>
<affiliation ref="#struct-2"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">L.</forename>
<surname>Consiglio</surname>
</persName>
<email></email>
<idno type="halauthor">53878</idno>
</author>
<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>Cozzi</surname>
</persName>
<email></email>
<idno type="halauthor">53879</idno>
</author>
<author role="aut">
<persName>
<forename type="first">N.</forename>
<surname>D'Ambrosio</surname>
</persName>
<email></email>
<idno type="halauthor">23826</idno>
</author>
<author role="aut">
<persName>
<forename type="first">G.</forename>
<surname>De Lellis</surname>
</persName>
<email></email>
<idno type="halauthor">23839</idno>
</author>
<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>De Serio</surname>
</persName>
<email></email>
<idno type="halauthor">30125</idno>
</author>
<author role="aut">
<persName>
<forename type="first">F.</forename>
<surname>Di Capua</surname>
</persName>
<email></email>
<idno type="halauthor">30149</idno>
</author>
<author role="aut">
<persName>
<forename type="first">D.</forename>
<surname>Di Ferdinando</surname>
</persName>
<email></email>
<idno type="halauthor">53880</idno>
</author>
<author role="aut">
<persName>
<forename type="first">N.</forename>
<surname>Di Marco</surname>
</persName>
<email></email>
<idno type="halauthor">53882</idno>
</author>
<author role="aut">
<persName>
<forename type="first">A.</forename>
<surname>Ereditato</surname>
</persName>
<email></email>
<idno type="halauthor">11635</idno>
</author>
<author role="aut">
<persName>
<forename type="first">L.S.</forename>
<surname>Esposito</surname>
</persName>
<email></email>
<idno type="halauthor">51052</idno>
</author>
<author role="aut">
<persName>
<forename type="first">S.</forename>
<surname>Gagnebin</surname>
</persName>
<email></email>
<idno type="halauthor">175517</idno>
</author>
<author role="aut">
<persName>
<forename type="first">G.</forename>
<surname>Giacomelli</surname>
</persName>
<email></email>
<idno type="halauthor">12120</idno>
</author>
<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>Giorgini</surname>
</persName>
<email></email>
<idno type="halauthor">53884</idno>
</author>
<author role="aut">
<persName>
<forename type="first">G.</forename>
<surname>Grella</surname>
</persName>
<email></email>
<idno type="halauthor">15924</idno>
</author>
<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>Hauger</surname>
</persName>
<email></email>
<idno type="halauthor">53885</idno>
</author>
<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>Ieva</surname>
</persName>
<email></email>
<idno type="halauthor">53886</idno>
</author>
<author role="aut">
<persName>
<forename type="first">J.</forename>
<surname>Janicsko Csathy</surname>
</persName>
<email></email>
<idno type="halauthor">145441</idno>
</author>
<author role="aut">
<persName>
<forename type="first">F.</forename>
<surname>Juget</surname>
</persName>
<email></email>
<idno type="halauthor">5475</idno>
</author>
<author role="aut">
<persName>
<forename type="first">I.</forename>
<surname>Kreslo</surname>
</persName>
<email></email>
<idno type="halauthor">27818</idno>
</author>
<author role="aut">
<persName>
<forename type="first">I.</forename>
<surname>Laktineh</surname>
</persName>
<email></email>
<idno type="halauthor">4464</idno>
<affiliation ref="#struct-2"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">A.</forename>
<surname>Longhin</surname>
</persName>
<email></email>
<idno type="halauthor">42181</idno>
</author>
<author role="aut">
<persName>
<forename type="first">G.</forename>
<surname>Mandrioli</surname>
</persName>
<email></email>
<idno type="halauthor">27189</idno>
</author>
<author role="aut">
<persName>
<forename type="first">A.</forename>
<surname>Marotta</surname>
</persName>
<email></email>
<idno type="halauthor">51053</idno>
</author>
<author role="aut">
<persName>
<forename type="first">J.</forename>
<surname>Marteau</surname>
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<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
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<forename type="first">J.</forename>
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<forename type="first">M.T.</forename>
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<forename type="first">A.</forename>
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<persName>
<forename type="first">L.</forename>
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<forename type="first">C.</forename>
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<persName>
<forename type="first">M.</forename>
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<persName>
<forename type="first">G.</forename>
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<persName>
<forename type="first">G.</forename>
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<persName>
<forename type="first">N.</forename>
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<persName>
<forename type="first">A.</forename>
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<author role="aut">
<persName>
<forename type="first">L.</forename>
<surname>Scotto Lavina</surname>
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</author>
<author role="aut">
<persName>
<forename type="first">S.</forename>
<surname>Simone</surname>
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<persName>
<forename type="first">M.</forename>
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<author role="aut">
<persName>
<forename type="first">C.</forename>
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<author role="aut">
<persName>
<forename type="first">G.</forename>
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<persName>
<forename type="first">P.</forename>
<surname>Stroling</surname>
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</author>
<author role="aut">
<persName>
<forename type="first">V.</forename>
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<title level="j">Journal of Instrumentation</title>
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<biblScope unit="volume">2</biblScope>
<biblScope unit="pp">P02001</biblScope>
<date type="datePub">2007</date>
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<idno type="arxiv">physics/0701192</idno>
<idno type="doi">10.1088/1748-0221/2/02/P02001</idno>
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<term xml:lang="en">Particle identification methods</term>
<term xml:lang="en">Particle tracking detectors</term>
</keywords>
<classCode scheme="halDomain" n="phys.phys.phys-data-an">Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]</classCode>
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<abstract xml:lang="en">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.</abstract>
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