A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors

[EN] A methodology including software tools for analysing NORM building materials and residues by low-level gamma-ray spectrometry has been developed. It comprises deconvolution of gamma-ray spectra using the software GALEA with focus on the natural radionuclides and Monte Carlo simulations for effi...

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Detalhes bibliográficos
Autores: Quintana Arnés, Begoña, Pedrosa García, María del Canto, Vázquez-Canelas, L., Santamaría Vicente, Rodrigo, Sanjuán, M.A., Puertas, F.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Recursos:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/145197
Acesso em linha:http://hdl.handle.net/10366/145197
Access Level:acceso abierto
Palavra-chave:Low-level background y-ray spectrometry
Broad energy Ge detectors
NORM building materials
y-ray spectrum analysis
Monte Carlo simulated efficiences
True coincidence-summing corrections
22 Física
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spelling A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectorsQuintana Arnés, BegoñaPedrosa García, María del CantoVázquez-Canelas, L.Santamaría Vicente, RodrigoSanjuán, M.A.Puertas, F.Low-level background y-ray spectrometryBroad energy Ge detectorsNORM building materialsy-ray spectrum analysisMonte Carlo simulated efficiencesTrue coincidence-summing corrections22 Física[EN] A methodology including software tools for analysing NORM building materials and residues by low-level gamma-ray spectrometry has been developed. It comprises deconvolution of gamma-ray spectra using the software GALEA with focus on the natural radionuclides and Monte Carlo simulations for efficiency and true coincidence summing corrections. The methodology has been tested on a range of building materials and validated against reference materials.Applied Radiation and Isotopes202120212018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10366/145197reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1451972026-06-07T06:28:51Z
dc.title.none.fl_str_mv A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
title A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
spellingShingle A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
Quintana Arnés, Begoña
Low-level background y-ray spectrometry
Broad energy Ge detectors
NORM building materials
y-ray spectrum analysis
Monte Carlo simulated efficiences
True coincidence-summing corrections
22 Física
title_short A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
title_full A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
title_fullStr A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
title_full_unstemmed A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
title_sort A method for the complete analysis of NORM building materials by γ-ray spectrometry using HPGe detectors
dc.creator.none.fl_str_mv Quintana Arnés, Begoña
Pedrosa García, María del Canto
Vázquez-Canelas, L.
Santamaría Vicente, Rodrigo
Sanjuán, M.A.
Puertas, F.
author Quintana Arnés, Begoña
author_facet Quintana Arnés, Begoña
Pedrosa García, María del Canto
Vázquez-Canelas, L.
Santamaría Vicente, Rodrigo
Sanjuán, M.A.
Puertas, F.
author_role author
author2 Pedrosa García, María del Canto
Vázquez-Canelas, L.
Santamaría Vicente, Rodrigo
Sanjuán, M.A.
Puertas, F.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Low-level background y-ray spectrometry
Broad energy Ge detectors
NORM building materials
y-ray spectrum analysis
Monte Carlo simulated efficiences
True coincidence-summing corrections
22 Física
topic Low-level background y-ray spectrometry
Broad energy Ge detectors
NORM building materials
y-ray spectrum analysis
Monte Carlo simulated efficiences
True coincidence-summing corrections
22 Física
description [EN] A methodology including software tools for analysing NORM building materials and residues by low-level gamma-ray spectrometry has been developed. It comprises deconvolution of gamma-ray spectra using the software GALEA with focus on the natural radionuclides and Monte Carlo simulations for efficiency and true coincidence summing corrections. The methodology has been tested on a range of building materials and validated against reference materials.
publishDate 2018
dc.date.none.fl_str_mv 2018
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/145197
url http://hdl.handle.net/10366/145197
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Applied Radiation and Isotopes
publisher.none.fl_str_mv Applied Radiation and Isotopes
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869417527109484544
score 15,301603

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