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A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach
The gamma spectroscopy technique is commonly used in many applications to evaluate the activity of gamma emitters in a given sample. This assessment of activity is of particular interest for the disposal of radioactive waste or for clearance purposes. However, for these specific applications, one ne...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/j.apradiso.2019.108929 http://cds.cern.ch/record/2698992 |
_version_ | 1780964401286742016 |
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author | Frosio, Thomas Menaa, Nabil Duchemin, Charlotte Riggaz, Nicolas Theis, Chris |
author_facet | Frosio, Thomas Menaa, Nabil Duchemin, Charlotte Riggaz, Nicolas Theis, Chris |
author_sort | Frosio, Thomas |
collection | CERN |
description | The gamma spectroscopy technique is commonly used in many applications to evaluate the activity of gamma emitters in a given sample. This assessment of activity is of particular interest for the disposal of radioactive waste or for clearance purposes. However, for these specific applications, one needs to show that the evaluated activities are reasonably conservative. This paper shows an application of a methodology developed to quantify the efficiency calibration curve uncertainties originating from a test case sample and its associated geometry modelling. Therefore, the effects of enclosing geometries on the activity measurement results are discussed. The purpose is to provide an example of uncertainty analysis for an approach that could be applied to other studies in which a conservative estimation of the activity is required. |
id | oai-inspirehep.net-1762493 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
record_format | invenio |
spelling | oai-inspirehep.net-17624932022-08-10T12:19:26Zdoi:10.1016/j.apradiso.2019.108929http://cds.cern.ch/record/2698992engFrosio, ThomasMenaa, NabilDuchemin, CharlotteRiggaz, NicolasTheis, ChrisA new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approachOtherThe gamma spectroscopy technique is commonly used in many applications to evaluate the activity of gamma emitters in a given sample. This assessment of activity is of particular interest for the disposal of radioactive waste or for clearance purposes. However, for these specific applications, one needs to show that the evaluated activities are reasonably conservative. This paper shows an application of a methodology developed to quantify the efficiency calibration curve uncertainties originating from a test case sample and its associated geometry modelling. Therefore, the effects of enclosing geometries on the activity measurement results are discussed. The purpose is to provide an example of uncertainty analysis for an approach that could be applied to other studies in which a conservative estimation of the activity is required.oai:inspirehep.net:17624932020 |
spellingShingle | Other Frosio, Thomas Menaa, Nabil Duchemin, Charlotte Riggaz, Nicolas Theis, Chris A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title_full | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title_fullStr | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title_full_unstemmed | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title_short | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
title_sort | new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
topic | Other |
url | https://dx.doi.org/10.1016/j.apradiso.2019.108929 http://cds.cern.ch/record/2698992 |
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