A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions

In this work several mathematical functions are compared in order to perform the full-energy peak efficiency calibration of HPGe detectors using a 126 cm3 HPGe coaxial detector and gamma-ray energies ranging from 36 to 1460 keV. Statistical tests and Monte Carlo simulations were used to study the pe...

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Detalhes bibliográficos
Autores: Hurtado Bermúdez, Santiago José, García León, Manuel, García-Tenorio García-Balmaseda, Rafael
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2008
País:España
Recursos:Universidad de Sevilla (US)
Repositório:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/146263
Acesso em linha:https://hdl.handle.net/11441/146263
https://doi.org/10.1016/j.nima.2008.07.028
Access Level:Acceso aberto
Palavra-chave:Gamma-spectrometry
Efficiency calibration
Simulated annealing
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spelling A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functionsHurtado Bermúdez, Santiago JoséGarcía León, ManuelGarcía-Tenorio García-Balmaseda, RafaelGamma-spectrometryEfficiency calibrationSimulated annealingIn this work several mathematical functions are compared in order to perform the full-energy peak efficiency calibration of HPGe detectors using a 126 cm3 HPGe coaxial detector and gamma-ray energies ranging from 36 to 1460 keV. Statistical tests and Monte Carlo simulations were used to study the performance of the fitting curve equations. Furthermore the fitting procedure of these complex functional forms to experimental data is a non-linear multi-parameter minimization problem. In gamma-ray spectrometry usually non-linear least-squares fitting algorithms (Levenberg–Marquardt method) provide a fast convergence while minimizing w2 R, however, sometimes reaching only local minima. In order to overcome that shortcoming a hybrid algorithm based on simulated annealing (HSA) techniques is proposed. Additionally a new function is suggested that models the efficiency curve of germanium detectors in gamma-ray spectrometryElsevierFísica Aplicada II2008info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/146263https://doi.org/10.1016/j.nima.2008.07.028reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésNuclear Instruments and Methods in Physics Research. Section A Accelerators Spectrometers Detectors and Associated Equipment, 594 (3), 362-367.https://doi.org/10.1016/j.nima.2008.07.028info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1462632026-06-17T12:51:07Z
dc.title.none.fl_str_mv A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
title A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
spellingShingle A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
Hurtado Bermúdez, Santiago José
Gamma-spectrometry
Efficiency calibration
Simulated annealing
title_short A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
title_full A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
title_fullStr A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
title_full_unstemmed A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
title_sort A fitting algorithm based on simulated annealing techniques for efficiency calibration of HPGe detectors using different mathematical functions
dc.creator.none.fl_str_mv Hurtado Bermúdez, Santiago José
García León, Manuel
García-Tenorio García-Balmaseda, Rafael
author Hurtado Bermúdez, Santiago José
author_facet Hurtado Bermúdez, Santiago José
García León, Manuel
García-Tenorio García-Balmaseda, Rafael
author_role author
author2 García León, Manuel
García-Tenorio García-Balmaseda, Rafael
author2_role author
author
dc.contributor.none.fl_str_mv Física Aplicada II
dc.subject.none.fl_str_mv Gamma-spectrometry
Efficiency calibration
Simulated annealing
topic Gamma-spectrometry
Efficiency calibration
Simulated annealing
description In this work several mathematical functions are compared in order to perform the full-energy peak efficiency calibration of HPGe detectors using a 126 cm3 HPGe coaxial detector and gamma-ray energies ranging from 36 to 1460 keV. Statistical tests and Monte Carlo simulations were used to study the performance of the fitting curve equations. Furthermore the fitting procedure of these complex functional forms to experimental data is a non-linear multi-parameter minimization problem. In gamma-ray spectrometry usually non-linear least-squares fitting algorithms (Levenberg–Marquardt method) provide a fast convergence while minimizing w2 R, however, sometimes reaching only local minima. In order to overcome that shortcoming a hybrid algorithm based on simulated annealing (HSA) techniques is proposed. Additionally a new function is suggested that models the efficiency curve of germanium detectors in gamma-ray spectrometry
publishDate 2008
dc.date.none.fl_str_mv 2008
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 https://hdl.handle.net/11441/146263
https://doi.org/10.1016/j.nima.2008.07.028
url https://hdl.handle.net/11441/146263
https://doi.org/10.1016/j.nima.2008.07.028
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Nuclear Instruments and Methods in Physics Research. Section A Accelerators Spectrometers Detectors and Associated Equipment, 594 (3), 362-367.
https://doi.org/10.1016/j.nima.2008.07.028
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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