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SUPERXAP- A Personal-Computer-Based Program for Energy-Dispersive X-Ray Spectra Analysis

Published online by Cambridge University Press:  06 March 2019

D.B. Yager  and
J.E. Quick
D.B. Yager
Affiliation:
U.S. Geological Survey, MS 903, P.O. Box 25046, Denver Federal Center, Denver, Colorado 80225
J.E. Quick
Affiliation:
U.S. Geological Survey, MS 903, P.O. Box 25046, Denver Federal Center, Denver, Colorado 80225
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Abstract

SUPERXAP (Super X-ray Analysis Program) enables IBM-compatible personal computers to analyze energy-dispersive spectra using least-squares spectral deconvolution. The program corrects for instrument drift, background, peak overlap, and matrix effects. Pull down menus provide 24 subroutines and functions, that allow spectra to be transferred, stored, viewed, manipulated, and analyzed. Spectral peaks can be identified manually or automatically with color-coded K, L or M lines. Working curves are developed using an interactive routine that creates standard files by least-squares fitting of peak intensities to known elemental abundances. Elemental abundances in unknowns may be determined in a variety of ways including on-line analysis of spectra as they are generated by an energy-dispersive detector and by batch analyses of spectra stored on disk. Standard deviation, based on counting statistics, is reported for each element in each analysis. Written in QuickBASIC 4.5 for interface with a KEVEX 7000 radioactive-source x-ray fluorescence analyzer, SUPERXAP could be adapted, with minor modification, to accept and analyze data from other instruments that produce energy-dispersive spectra.

Type
I. Mathematical Techniques in X-Ray Spectrometry
Information
Advances in X-Ray Analysis , Volume 36: Forty-First Annual Conference on Applications of X-ray Analysis, August 3-7, 1992 , 1992 , pp. 17 - 25
Copyright
Copyright © International Centre for Diffraction Data 1992

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References

Davis, J.C., 1973, Statistics and Data Analysis in Geology, John Wiley and Sons, Inc., New York, 500 p.Google Scholar
Govindaraju, K., ed., 1989, Special Issue of Geostandards Newsletter: Geostandards Newsletter, Vandoeuvre-les-Nancy Cedex, France, International Working Group, vol. 13, p. 1–17.Google Scholar
McCarthy, J.J., and Schamber, F.H., 1981, Least-squares fit with digital filter: A status report, National Bureau of Standards Publication 604, p. 52-67.Google Scholar
Potts, P.J., 1987, A Handbook of Silicate Rock Analysis, Blackie and Son Ltd., New York, 622 p.Google Scholar
Quick, J.E., 1988, DATASAVE manual: U.S. Geological Survey Open-File Report 88-213,11 sections.Google Scholar
Quick, J.E. and Haleby, A.M., 1988, XAP, a program for deconvolution and analysis of complex X-ray spectra: U.S. Geological Survey Technical Record TR-08-3, Saudi Arabia Ministry of Petroleum and Mineral Resources, 33 p.Google Scholar
Reynolds, R.C., 1963, Matrix corrections in trace element analysis by X-ray fluorescence: Estimation of the mass absorption coefficient by Compton scattering, American Mineralogist, vol. 48, p. 1133–1143.Google Scholar
Reynolds, R.C., 1967, Estimation of mass absorption coefficients by Compton scattering: Improvements and extensions of the method, American Mineralogist, vol. 52, 1493–1502.Google Scholar
Schamber, F.H., 1973, A new technique for deconvolution of complex X-ray energy spectra: Proceedings of the 8th National Conference on Electron Probe Analysis, New Orleans, Paper 85.Google Scholar
Schamber, F.H., Wodke, N.F., and McCarthy, J.J., 1977, Least squares fit with digital filter: The method and its applications to EDS spectra, in Proceedings of the Twelfth Annual Conference of the Microbeam Analysis Society, Boston.Google Scholar
Statham, P.J., 1977, Deconvolution and background subtraction by least-squares fitting with pre-filtering of spectra: Analytical Chemistry, vol. 49, p. 2149–2154.Google Scholar
Yager, D.B. and Quick, J.E., 1992, SUPERXAP Manual: U.S. Geological Survey Open-File Report 92-13.Google Scholar