On the Use of Monte Carlo Based Methods to EDXRF Quantitative Analysis
نویسندگان
چکیده
The center for engineering applications of radioisotopes X-ray fluorescence (CEARXRF) graphic user interface (GUI)-Based monte carlo library least squares (MCLLS) code is demonstrated with results from the micro-focused EDXRF analyzer, which can be used to calculate elemental weight fractions in metal alloys or rock samples accurately, by library least-squares regression of the measured X-ray spectrum with computer-generated elemental spectra. An elemental stratified sampling variance reduction technique has been implemented in the CEARXRF code (version 5). In this case it refers to using the same number of histories for each element X-ray spectrum so that the same statistics are appropriate for each calculated library, which intends to improve the statistical precision of each elemental library spectrum within the measured sample. And an improved Si (Li) detector response function (DRF) has been optimized on the micro-focused XRF analyzer and the parameters are obtained based on regression on pure elemental experimental spectra. It was demonstrated that MCLLS approach can greatly improve the accuracy of elemental analysis results.
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