Maximum Likelihood Spectrum Decomposition for Isotope Identification and Quantification
نویسندگان
چکیده
A spectral decomposition method has been implemented to identify and quantify isotopic source terms in high-resolution gamma-ray spectroscopy static geometry shielding scenarios. Monte Carlo simulations were used build the response matrix of a shielded high-purity germanium detector monitoring an effluent stream with Marinelli configuration. The technique was applied series calibration spectra taken using multi-nuclide standard. These results are compared decay-corrected values from certificate. For most nuclei standard ( 241 Am, xmlns:xlink="http://www.w3.org/1999/xlink">109 Cd, xmlns:xlink="http://www.w3.org/1999/xlink">137 Cs, xmlns:xlink="http://www.w3.org/1999/xlink">60 Co), deviations certificate generally no more than 6% few outliers as high 10%. xmlns:xlink="http://www.w3.org/1999/xlink">57 Co, radionuclide lowest activity, reached 25%, driven by meager statistics spectra. In addition, complete treatment error propagation for is presented.
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ژورنال
عنوان ژورنال: IEEE Transactions on Nuclear Science
سال: 2022
ISSN: ['0018-9499', '1558-1578']
DOI: https://doi.org/10.1109/tns.2022.3162986