| Article | |
| Title | A new gamma spectroscopy methodology based on probabilistic uncertainty estimation and conservative approach |
| Author(s) | Frosio, Thomas (CERN) ; Menaa, Nabil (CERN) ; Duchemin, Charlotte (CERN) ; Riggaz, Nicolas (CERN) ; Theis, Chris (CERN) |
| Publication | 2020 |
| In: | Appl. Radiat. Isot. 155 (2020) 108929 |
| DOI | 10.1016/j.apradiso.2019.108929 |
| Subject category | Other |
| Abstract | 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. |
| Copyright/License | publication: © 2019-2024 The Authors (License: CC-BY-4.0) |
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Registre creat el 2019-11-06, darrera modificació el 2022-08-10
