Use of the CEARXRF GUI-Based Monte Carlo-Library Least-Squares (MCLLS) Code for the Micro-Focused EDXRF analyzer
作者： Robin P. Gardner , Fusheng Li
DOI: 10.1002/XRS.1365
关键词:
摘要: The CEARXRF GUI-Based Monte Carlo–Library Least-Squares (MCLLS) Code is demonstrated with results from a 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 computer-generated spectra. An stratified sampling variance reduction technique has been implemented CEARXRF5 code, equalizes statistical precision libraries within sample independent relative amounts that are present. Also, an improved Si(Li) detector response function (DRF) obtained for fluorescence (XRF) analyzers, and DRF parameters based on pure experimental It resulting MCLLS approach greatly improve accuracy XRF analysis results. Copyright © 2011 John Wiley & Sons, Ltd.
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