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Automated Quantitative XRF Analysis of Soda-Lime Glass Utilizing Pattern Recognition

Published online by Cambridge University Press:  06 March 2019

A. J. Klimasara  and
T. L. Barry
A. J. Klimasara
Affiliation:
GTE Electrical Products, Sylvania Lighting Center, Danvers, MA 01923
T. L. Barry
Affiliation:
GTE Electrical Products, Sylvania Lighting Center, Danvers, MA 01923
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Abstract

A set of programs in Fortran 77 has been written to automate quantitative analysis on the Rigaku SMAX/PDP-11/73 XRF System. The spectrometer can be instructed and Trained to recognize spectral patterns of soda-lime glass or other materials.

The method of pattern recognition employed is based on the relative position of spectra-vectors in N-Dimension Euclidean feature space. The distance between 2 vector-points: is used as a classifier.

The software correlates between 2 Euclidean feature spaces:

  • - Spectra Feature-Space

  • - Chemistry Feature-Space

Quantitative results are extracted automatically and printed in laboratory report form. Mathematical modeling with associated software and the results obtained are presented.

Information

Type
V. XRF Applications; Fuels and Lubricants, Metals and Alloys, Geological, Heavy Element, Other
Information
Advances in X-Ray Analysis , Volume 30: Thirty-Fifth Annual Conference on Applications of X-ray Analysis, August 4-8, 1986 , 1986 , pp. 325 - 332
Copyright
Copyright © International Centre for Diffraction Data 1986

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