Journal
APPLIED RADIATION AND ISOTOPES
Volume 70, Issue 7, Pages 1243-1249Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.apradiso.2011.09.012
Keywords
X-ray fluorescence (XRF); Elemental analysis; Geochemical logging; Detector response function; Library least squares method; Elemental stratified sampling
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The Monte Carlo-based Energy Dispersive X-ray Fluorescence (MCXRF) elemental analyzer approach can be used to accurately calculate elemental weight fractions in rock formations or metal alloys, by least-squares regression of the measured X-ray spectrum with computer-generated elemental library spectra. The analog sampling scheme in a Monte Carlo simulation cannot generate satisfactory results for trace elements due to their low sampling probability. A stratified sampling variance-reduction technique is proposed and implemented to enable each element in the measured sample to have equal opportunity of being sampled with adjusted weights. Essentially, all computed elemental libraries have good statistical precision and improve the accuracy of the elemental analysis results. (C) 2011 Elsevier Ltd. All rights reserved.
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