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dc.contributor.authorPetaccia Trobatto, Mauricio Germán
dc.contributor.authorSeguí Osorio, Silvina Inda María
dc.contributor.authorCastellano, Gustavo Eugenio
dc.date.accessioned2022-07-26T14:37:13Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/11086/27481
dc.description.abstractElectron probe microanalysis (EPMA) is based on the comparison of characteristic intensities induced by monoenergetic electrons. When the electron beam ionizes inner atomic shells and these ionizations cause the emission of characteristic X-rays, secondary fluorescence can occur, originating from ionizations induced by X-ray photons produced by the primary electron interactions. As detectors are unable to distinguish the origin of these characteristic X-rays, Monte Carlo simulation of radiation transport becomes a determinant tool in the study of this fluorescence enhancement. In this work, characteristic secondary fluorescence enhancement in EPMA has been studied by using the splitting routines offered by PENELOPE 2008 as a variance reduction alternative. This approach is controlled by a single parameter NSPLIT, which represents the desired number of X-ray photon replicas. The dependence of the uncertainties associated with secondary intensities on NSPLIT was studied as a function of the accelerating voltage and the sample composition in a simple binary alloy in which this effect becomes relevant. The achieved efficiencies for the simulated secondary intensities bear a remarkable improvement when increasing the NSPLIT parameter; although in most cases an NSPLIT value of 100 is sufficient, some less likely enhancements may require stronger splitting in order to increase the efficiency associated with the simulation of secondary intensities.en
dc.format.mediumImpreso; Electrónico y/o Digital
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rightsrestrictedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceISSN: 1431-9276
dc.sourcee-ISSN: 1435-8115
dc.subjectEPMAen
dc.subjectCharacteristic fluorescence enhancementen
dc.subjectMonte Carlo simulationen
dc.subjectVariance reductionen
dc.titleMonte Carlo simulation of characteristic secondary fluorescence in electron probe microanalysis of homogeneous samples using the splitting techniqueen
dc.typearticlees
dc.description.versionpublishedVersiones
dc.description.filFil: Petaccia Trobatto, Mauricio Germán. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.es
dc.description.filFil: Petaccia Trobatto, Mauricio Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Física Enrique Gaviola; Argentina.es
dc.description.filFil: Petaccia Trobatto, Mauricio Germán. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina.es
dc.description.filFil: Seguí Osorio, Silvina Inda María. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina.es
dc.description.filFil: Seguí Osorio, Silvina Inda María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es
dc.description.filFil: Castellano, Gustavo Eugenio. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.es
dc.description.filFil: Castellano, Gustavo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Física Enrique Gaviola; Argentina.es
dc.description.filFil: Castellano, Gustavo Eugenio. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina.es
dc.journal.cityCambridgeen
dc.journal.countryReino Unidoes
dc.journal.editorialCambridge University Pressen
dc.journal.number3es
dc.journal.pagination753-758es
dc.journal.referatoCon referato
dc.journal.titleMicroscopy and Microanalysisen
dc.journal.volume21es
dc.description.fieldFísica Atómica, Molecular y Química (física de átomos y moléculas incluyendo colisión, interacción con radiación, resonancia magnética, Moessbauer Efecto.)
dc.identifier.urlhttp://dx.doi.org/10.1017/S1431927615000495
dc.identifier.doihttps://doi.org/10.1017/S1431927615000495
dc.identifier.doihttp://dx.doi.org/10.1017/S1431927615000495


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Attribution-NonCommercial-NoDerivatives 4.0 International
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