Hostname: page-component-7479d7b7d-k7p5g Total loading time: 0 Render date: 2024-07-08T10:14:15.362Z Has data issue: false hasContentIssue false
  • English
  • Français

Computer Program for Deconvoluting Powder Diffraction Spectra

Published online by Cambridge University Press:  10 January 2013

K. E. Wiedemann ,
J. Unnam  and
R. K. Clark
K. E. Wiedemann
Affiliation:
NASA Langley Research Center, Hampton, Virginia 23665-5225
J. Unnam
Affiliation:
NASA Langley Research Center, Hampton, Virginia 23665-5225
R. K. Clark
Affiliation:
NASA Langley Research Center, Hampton, Virginia 23665-5225
Get access Rights & Permissions [Opens in a new window]

Abstract

A program is presented that removes broadening from X-ray diffraction spectra. An instrumental spectrum can be used to describe empirically the broadening to be removed, or a Gaussian, Cauchy, or Pearson-VII distribution can be used to analytically describe it. In either case, singlet or doublet forms can be generated. The program returns the deconvoluted spectrum, the reconstructed spectrum, and a sum-of-squares difference between the original and reconstructed spectra. Deconvolution is accomplished using a combination of least-squares, background, and smoothing criteria that minimizes the effect of random counting errors.

Type
Research Article
Information
Powder Diffraction , Volume 2 , Issue 3 , September 1987 , pp. 137 - 145
Copyright
Copyright © Cambridge University Press 1987

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

Gerald, C. F. and Wheatley, P. O. (1984). Applied Numerical Analysis, pp. 99–106. Reading, MA: Addison-Wesley.Google Scholar
Wiedemann, K. E., Unnam, J. and Clark, R. K. (1987). Powder Diffraction 2, 130–136.CrossRefGoogle Scholar
Wylie, C. R. (1975). Advanced Engineering Mathematics, pp. 104–115. New York: McGraw-Hill.Google Scholar