Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-23T16:37:43.453Z Has data issue: false hasContentIssue false
  • English
  • Français

Development of the Detector Response Function Approach for the Library Least-Squares Analysis of Energy-Dispersive X-Ray Fluorescence Spectra

Published online by Cambridge University Press:  06 March 2019

L. Wielopolski  and
R. P. Gardner
L. Wielopolski
Affiliation:
Department of Nuclear Engineering North Carolina State University Raleigh, North Carolina 27650
R. P. Gardner
Affiliation:
Department of Nuclear Engineering North Carolina State University Raleigh, North Carolina 27650
Get access

Abstract

A procedure to obtain analytical models for the elemental X-ray pulse-height distribution libraries necessary in the library least-squares analysis of energy-dispersive x-ray fluorescence spectra is outlined. This is accomplished by first obtaining the response function of Si(Li) detectors for incident photons in the energy range of interest. Subsequently this response function is used to generate the desired elemental library standards for use in the least-squares analysis of spectra, or it can be used directly within a least-squares computer program, thus eliminating the large amount of computer storage required for the standards.

Type
Research Article
Information
Advances in X-Ray Analysis , Volume 22: Twenty-Seventh Annual Conference on Applications of X-ray Analysis, August 1-4, 1978 , 1978 , pp. 317 - 323
Copyright
Copyright © International Centre for Diffraction Data 1978

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Quittner, P., Gamroa-Ray Spectroscopy. Adam Hilger Limited, London (1972).Google Scholar
2. Van Espen, P., Nullens, H., and Adams, F., “A Method for the Accurate Description of the Full Energy Peaks in Nonlinear Least-Squares Analysis of X-Ray Spectra”, Nuclear Instruments and Methods, 145, 579–582 (1977).Google Scholar
3. Arinc, F., Gardner, R. P., Wielopolski, L., and Stiles, A. R., “Application of the Least-Squares Method to the Analysis of XRF Spectral Intensities from Atmospheric Particulates Collected on Filters”, in Gould, R. W., Barrett, C. S., Newkirk, J. B., and Ruud, C. O., Editors, Advances in X-Ray Analysis. Vol. 19, p. 367–379, Kendall Hunt Publishing Company (1976).Google Scholar
4. Arinc, F., Wielopolski, L., and P* Gardner, R., “The Linear Least- Squares Analysis of X-Ray Fluorescence Spectra of Aerosol Samples Using Pure Elemental Library Standards and Photon Excitation”, in Dxubay, T. G., Editor, X-Ray Fluorescence Analysis of Environmental Samples, p. 227–240, Ann Arbor Science Publishers, Ann Arbor (1977).Google Scholar