Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5

Gallardo Bermell, Sergio|||0000-0002-3703-9983; Ródenas Diago, José|||0000-0003-3283-9188; Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X; Villanueva López, José Felipe|||0000-0002-7684-6884; Querol Vives, Andrea; Ortiz Moragón, Josefina

Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5

High Purity Germanium (HPGe) detectors are widely used for environmental radioactivity measurements due to their excellent energy resolution. Monte Carlo (MC) codes are a useful tool to complement experimental measurements in calibration procedures at the laboratory. However, the efficiency curve of...

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Detalhes bibliográficos
Autores:	Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983, Ródenas Diago, José\|\|\|0000-0003-3283-9188, Verdú Martín, Gumersindo Jesús\|\|\|0000-0001-5098-080X, Villanueva López, José Felipe\|\|\|0000-0002-7684-6884, Querol Vives, Andrea, Ortiz Moragón, Josefina
Tipo de documento:	artigo
Data de publicação:	2015
País:	España
Recursos:	Universitat Politècnica de València (UPV)
Repositório:	RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:	inglês
OAI Identifier:	oai:riunet.upv.es:10251/65523
Acesso em linha:	https://riunet.upv.es/handle/10251/65523
Access Level:	Acceso aberto
Palavra-chave:	HPGe detector Monte Carlo Efficiency Uncertainties ESTADISTICA E INVESTIGACION OPERATIVA INGENIERIA NUCLEAR

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network_acronym_str	ES
network_name_str	España
repository_id_str
spelling	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983Ródenas Diago, José\|\|\|0000-0003-3283-9188Verdú Martín, Gumersindo Jesús\|\|\|0000-0001-5098-080XVillanueva López, José Felipe\|\|\|0000-0002-7684-6884Querol Vives, AndreaOrtiz Moragón, JosefinaHPGe detectorMonte CarloEfficiencyUncertaintiesESTADISTICA E INVESTIGACION OPERATIVAINGENIERIA NUCLEARHigh Purity Germanium (HPGe) detectors are widely used for environmental radioactivity measurements due to their excellent energy resolution. Monte Carlo (MC) codes are a useful tool to complement experimental measurements in calibration procedures at the laboratory. However, the efficiency curve of the detector can vary due to uncertainties associated with measurements. These uncertainties can be classified into some categories: geometrical parameters of the measurement (distance source-detector, volume of the source), properties of the radiation source (radionuclide activity, branching ratio), and detector characteristics (Ge dead layer, active volume, end cap thickness). The Monte Carlo simulation can be also affected by other kind of uncertainties mainly related to cross sections and to the calculation itself. Normally, all these uncertainties are not well known and it is required a deep analysis to determine their effect on the detector efficiency. In this work, the Noether-Wilks formula is used to carry out the uncertainty analysis. A Probability Density Function (PDF) is assigned to each variable involved in the sampling process. The size of the sampling is determined from the characteristics of the tolerance intervals by applying the Noether Wilks formula. Results of the analysis transform the efficiency curve into a region of possible values into the tolerance intervals. Results show a good agreement between experimental measurements and simulations for two different matrices (water and sand).ElsevierDepartamento de Ingeniería Química y NuclearEscuela Técnica Superior de Ingeniería IndustrialInstituto Universitario de Seguridad Industrial, Radiofísica y MedioambientalGrupo de Medioambiente y Seguridad Industrial. MEDASEGIRepositorio Institucional de la Universitat Politècnica de València Riunet20152015-11-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/65523reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/655232026-06-13T07:49:27Z
dc.title.none.fl_str_mv	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
title	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
spellingShingle	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5 Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983 HPGe detector Monte Carlo Efficiency Uncertainties ESTADISTICA E INVESTIGACION OPERATIVA INGENIERIA NUCLEAR
title_short	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
title_full	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
title_fullStr	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
title_full_unstemmed	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
title_sort	Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5
dc.creator.none.fl_str_mv	Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983 Ródenas Diago, José\|\|\|0000-0003-3283-9188 Verdú Martín, Gumersindo Jesús\|\|\|0000-0001-5098-080X Villanueva López, José Felipe\|\|\|0000-0002-7684-6884 Querol Vives, Andrea Ortiz Moragón, Josefina
author	Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983
author_facet	Gallardo Bermell, Sergio\|\|\|0000-0002-3703-9983 Ródenas Diago, José\|\|\|0000-0003-3283-9188 Verdú Martín, Gumersindo Jesús\|\|\|0000-0001-5098-080X Villanueva López, José Felipe\|\|\|0000-0002-7684-6884 Querol Vives, Andrea Ortiz Moragón, Josefina
author_role	author
author2	Ródenas Diago, José\|\|\|0000-0003-3283-9188 Verdú Martín, Gumersindo Jesús\|\|\|0000-0001-5098-080X Villanueva López, José Felipe\|\|\|0000-0002-7684-6884 Querol Vives, Andrea Ortiz Moragón, Josefina
author2_role	author author author author author
dc.contributor.none.fl_str_mv	Departamento de Ingeniería Química y Nuclear Escuela Técnica Superior de Ingeniería Industrial Instituto Universitario de Seguridad Industrial, Radiofísica y Medioambiental Grupo de Medioambiente y Seguridad Industrial. MEDASEGI Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv	HPGe detector Monte Carlo Efficiency Uncertainties ESTADISTICA E INVESTIGACION OPERATIVA INGENIERIA NUCLEAR
topic	HPGe detector Monte Carlo Efficiency Uncertainties ESTADISTICA E INVESTIGACION OPERATIVA INGENIERIA NUCLEAR
description	High Purity Germanium (HPGe) detectors are widely used for environmental radioactivity measurements due to their excellent energy resolution. Monte Carlo (MC) codes are a useful tool to complement experimental measurements in calibration procedures at the laboratory. However, the efficiency curve of the detector can vary due to uncertainties associated with measurements. These uncertainties can be classified into some categories: geometrical parameters of the measurement (distance source-detector, volume of the source), properties of the radiation source (radionuclide activity, branching ratio), and detector characteristics (Ge dead layer, active volume, end cap thickness). The Monte Carlo simulation can be also affected by other kind of uncertainties mainly related to cross sections and to the calculation itself. Normally, all these uncertainties are not well known and it is required a deep analysis to determine their effect on the detector efficiency. In this work, the Noether-Wilks formula is used to carry out the uncertainty analysis. A Probability Density Function (PDF) is assigned to each variable involved in the sampling process. The size of the sampling is determined from the characteristics of the tolerance intervals by applying the Noether Wilks formula. Results of the analysis transform the efficiency curve into a region of possible values into the tolerance intervals. Results show a good agreement between experimental measurements and simulations for two different matrices (water and sand).
publishDate	2015
dc.date.none.fl_str_mv	2015 2015-11-01
dc.type.none.fl_str_mv	journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv	info:eu-repo/semantics/article
format	article
dc.identifier.none.fl_str_mv	https://riunet.upv.es/handle/10251/65523
url	https://riunet.upv.es/handle/10251/65523
dc.language.none.fl_str_mv	Inglés eng
language_invalid_str_mv	Inglés
language	eng
dc.rights.none.fl_str_mv	open access http://purl.org/coar/access_right/c_abf2 Reserva de todos los derechos http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	open access http://purl.org/coar/access_right/c_abf2 Reserva de todos los derechos http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv	openAccess
dc.format.none.fl_str_mv	application/pdf application/pdf
dc.publisher.none.fl_str_mv	Elsevier
publisher.none.fl_str_mv	Elsevier
dc.source.none.fl_str_mv	reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname:Universitat Politècnica de València (UPV)
instname_str	Universitat Politècnica de València (UPV)
reponame_str	RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection	RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score	15,301603

Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5

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