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Processing of Energy Dispersive X-ray Spectra

Published online by Cambridge University Press:  06 March 2019

J. C. Russ*
Affiliation:
EDAX Laboratories P rairie View, IL 60069
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Abstract

Much attention has been given to the treatment of energy-dispersive X-ray spectra. Descriptions of mathematical approaches (and their implementation in computer programs) have dealt with the major areas of separating peaks from background and from each other. There has been an unspoken but widely accepted underlying assumption that the more complex the approach, and the more general it seems to be, the bette r. This assumption appeals to the mathematicians and programmers but should be sharply challenged by users , whose focus is more properly the analytical results that can be obtained in spec ific circumstances.

Type
X-Ray Fluorescence
Copyright
Copyright © International Centre for Diffraction Data 1976

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References

1. Connelly, A. L. and Black, W. W., “Automatic Location of Area Determination of Photopeaks”, Nuc. Instr. and Meth., 82, p. 141, 1970.Google Scholar
2. Russ, J. C., “ Background Subtraction for Energy Dispersive X-ray Spectra”, Proceedings 7th Nat’l. Conference on Electron Probe Analysis, San Francisco, California, p. 76A76C, July, 1972.Google Scholar
3. Kirkendall, T. D., “Comprehensive Qualitative and Quantitative Analysis of Energy Dispersive X-ray Spectra”, Tutorial and Proceedings 9th Annual Conference, Microbeam Analysis Society, Ottawa, Canada, p. 24A24G, July, 1974.Google Scholar
5. Reed, S. J. B. and Ware, N. G., “Quantitative Electron Microprobe Analysis using a Lithium Drifted Silicon Detector”, X-ray Spectrometry, 2, 1973.Google Scholar
6. Fiori, C. E., Myklebust, R. L., and Heinrich, K. F. J., “Prediction of Continuum Intensity in Energy-Dispersive X-ray Microanalysis”, Analytical Chemistry, 48, No. 1., January, 1976.Google Scholar
7. Smith, D. G. W., Gold, C. M., Tomlinson, D. A., “The Atomic Number Dependence of the X-ray Continuum Intensity and the Practical Calculation of Background in Energy Dispersive Electron Microprobe Analysis”, X-ray Spectrom. 4, (1975), p. 149156.Google Scholar
8. Feather, C. E., Willis, J. P., “A Simple Method for Background and Matrix Correction of Spectral Peaks in Trace Element Determination by X-ray Fluorescence Spectrometry”, X-ray Spectrom. 5, (1976), p. 4148.Google Scholar
9. Schamber, F. H., “A New Technique for Deconvolution of Complex X-ray Energy Spectra”, Proceedings 8th Nat’l, Conference on Electron Probe Analysis, New Orleans, Louisiana, p. 85A85D, August, 1973.Google Scholar
10. Geiss, R. H. and Huang, T. C., “Quantitative X-ray Energy Dispersive Analysis with the Transmission Electron Microscope”, X-ray Spectrometry, 4, No. 4., p. 196201, October, 1975.Google Scholar
11. Smith, D. G. W., Gold, C. M., “A Scheme for Fully Quantitative Energy Dispersive Energy Dispersive Microprobe Analysis”, Advances in X-ray Analysis, 19, (Gould, et al, ed.), 1976, p. 191201.Google Scholar