Maximum Likelihood Spectrum Decomposition for Isotope Identification and Quantification
| Autor: | J. T. Matta, A. J. Rowe, M. P. Dion, M. J. Willis, A. D. Nicholson, D. E. Archer, H. H. Wightman |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IEEE Transactions on Nuclear Science. 69:1212-1224 |
| ISSN: | 1558-1578 0018-9499 |
| DOI: | 10.1109/tns.2022.3162986 |
| Popis: | A spectral decomposition method has been implemented to identify and quantify isotopic source terms in high-resolution gamma-ray spectroscopy in static geometry and shielding scenarios. Monte-Carlo simulations were used to build the response matrix of a shielded high purity germanium detector monitoring an effluent stream with a Marinelli configuration. The decomposition technique was applied to a series of calibration spectra taken with the detector using a multi-nuclide standard. These results are compared to decay corrected values from the calibration certificate. For most nuclei in the standard ($^{241}$Am, $^{109}$Cd, $^{137}$Cs, and $^{60}$Co) the deviations from the certificate values were generally no more than $6$\% with a few outliers as high as $10$\%. For $^{57}$Co, the radionuclide with the lowest activity, the deviations from the standard reached as high as $25$\%, driven by the meager statistics in the calibration spectra. Additionally, a complete treatment of error propagation for the technique is presented. Comment: Soon to be published in: IEEE Transactions on Nuclear Science |
| Databáze: | OpenAIRE |
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