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Background shielding by dense samples in low-level gamma spectrometry.
Thiesse, M; Scovell, P; Thompson, L.
Afiliação
  • Thiesse M; The University of Sheffield, Department of Physics and Astronomy, Sheffield, S3 7RH, United Kingdom. Electronic address: m.thiesse@sheffield.ac.uk.
  • Scovell P; Boulby Underground Science Facility, Boulby Mine, Saltburn-by-the-Sea, Cleveland, TS13 4UZ, United Kingdom.
  • Thompson L; The University of Sheffield, Department of Physics and Astronomy, Sheffield, S3 7RH, United Kingdom.
Appl Radiat Isot ; 188: 110384, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35863146
ABSTRACT
In low activity gamma spectrometric measurements of large, dense samples, the bulk sample material shields the HPGe crystal from external background sources. If not accounted for in studies that utilise background-subtraction methods, this effect may result in systematic errors in the sample activity and detection limit estimation. We introduce a Monte Carlo based method to minimise the impact of this effect on sample gamma spectra. It is validated using simulated detector backgrounds and applied to a measurement of low-activity [Formula see text] . One main prerequisite for the correct application of this method is to know in advance the nuclides which contribute to the detector background spectrum and their spatial distribution. With a thorough understanding of the detector backgrounds, the method improves the accuracy of sensitive low-background measurements of low-activity samples. Even without knowing the background sources and their distribution, conservative results may still be presented that account for the potential systematic errors introduced by this background shielding effect.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_financiamento_saude Assunto principal: Espectrometria gama Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Appl Radiat Isot Assunto da revista: MEDICINA NUCLEAR / SAUDE AMBIENTAL Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_financiamento_saude Assunto principal: Espectrometria gama Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Appl Radiat Isot Assunto da revista: MEDICINA NUCLEAR / SAUDE AMBIENTAL Ano de publicação: 2022 Tipo de documento: Article
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