Systematic influences on the areas of peaks in gamma-ray spectra that have a large statistical uncertainty

A method is presented for calculating the expected number of counts in peaks that have a large relative peak-area uncertainty and appear in measured gamma-ray spectra. The method was applied to calculations of the correction factors for peaks occurring in the spectra of radon daughters. It was shown...

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Detalles Bibliográficos
Autores: Bruggeman, M., Collins, S. M., Done, Laurentiu, Duch Guillen, María Amor|||0000-0002-1560-1576, Serrano Carreño, M. Isabel|||0000-0002-4996-9280
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/117453
Acceso en línea:https://hdl.handle.net/2117/117453
https://dx.doi.org/10.1016/j.apradiso.2017.06.016
Access Level:acceso abierto
Palabra clave:Gamma ray spectrometry
Gamma-ray spectrometry
Systematic influence
Peak area
Relative uncertainty
Correction factors
Espectrometria de raigs gamma
Àrees temàtiques de la UPC::Física::Electromagnetisme
Àrees temàtiques de la UPC::Física::Electromagnetisme::Raigs gamma
Descripción
Sumario:A method is presented for calculating the expected number of counts in peaks that have a large relative peak-area uncertainty and appear in measured gamma-ray spectra. The method was applied to calculations of the correction factors for peaks occurring in the spectra of radon daughters. It was shown that the factors used for correcting the calculated peak areas to their expected values decrease with an increasing relative peak-area uncertainty. The accuracy of taking the systematic influence inducing the correction factors into account is given by the dispersion of the correction factors corresponding to specific peaks. It was shown that the highest accuracy is obtained in the peak analyses with the GammaVision and Gamma-W software.