| DOI | Resolve DOI: https://doi.org/10.1016/j.apradiso.2023.111109 |
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| Author | Search for: Lépy, M.-C.; Search for: Thiam, C.; Search for: Anagnostakis, M.; Search for: Cosar, C.; Search for: de Blas, A.; Search for: Dikmen, H.; Search for: Duch, M. A.; Search for: Galea R.1; Search for: Ganea, M. L.; Search for: Hurtado, S.; Search for: Karfopoulos, K.; Search for: Luca, A.; Search for: Lutter, G.; Search for: Mitsios, I.; Search for: Persson, H.; Search for: Potiriadis, C.; Search for: Röttger, S.; Search for: Salpadimos, N.; Search for: Savva, M. I.; Search for: Sima, O.; Search for: Thanh, T. T.; Search for: Townson R. W.1; Search for: Vargas, A.; Search for: Vasilopoulou, T.; Search for: Verheyen, L.; Search for: Vidmar, T. |
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| Affiliation | - National Research Council of Canada. Metrology Research Centre
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| Format | Text, Article |
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| Subject | gamma-ray spectrometry; coincidence summing; efficiency; EFFTRAN; EGS4; EGSnrc; GEANT4; GESPECOR; MCNP; Monte Carlo simulation; PENELOPE |
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| Abstract | The goal of this study is to provide a benchmark for the use of Monte Carlo simulation when applied to coincidence summing corrections. The examples are based on simple geometries: two types of germanium detectors and four kinds of sources, to mimic eight typical measurement conditions. The coincidence corrective factors are computed for four radionuclides. The exercise input files and calculation results with practical recommendations are made available for new users on a dedicated webpage. |
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| Publication date | 2024-02 |
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| Publisher | Elsevier |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Identifier | S0969804323004621 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 47e9cced-3ab2-4623-a3cf-1d88cff11e6a |
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| Record created | 2024-07-10 |
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| Record modified | 2024-07-10 |
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