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• W2014280046 abstract "Prompt γ-ray spectra sometimes contain hundreds of characteristic peaks, and the masses of the sample components can be determined from dozens of γ-ray peak areas, some of which are affected by spectral interferences. Reliable qualitative and quantitative analyses can only be performed by using a precisely calibrated detector system, an accurate spectroscopic data library, high-quality spectroscopy software, and a sophisticated method to convert raw data into chemical composition. This article describes the steps of the chemical analysis with prompt γ activation analysis (PGAA). A complete data reduction method has been constructed that handles the large number of spectral peaks using statistical procedures, identifies the chemical components based on statistical criteria, and determines the sample composition with a least-squares fit of the masses calculated from the individual peaks. The calculation of the uncertainties as well as the detection and analytical limits are discussed in detail. The validation of the method is also presented. The method can also be used in the evaluation of the results of other spectroscopic techniques." @default.
• W2014280046 created "2016-06-24" @default.
• W2014280046 creator A5063628100 @default.
• W2014280046 date "2009-07-10" @default.
• W2014280046 modified "2023-10-10" @default.
• W2014280046 title "Determining Elemental Composition Using Prompt γ Activation Analysis" @default.
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• W2014280046 doi "https://doi.org/10.1021/ac9011705" @default.
• W2014280046 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19591448" @default.
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