deconvoluted spectrum
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1987 ◽  
Vol 2 (3) ◽  
pp. 137-145 ◽  
Author(s):  
K. E. Wiedemann ◽  
J. Unnam ◽  
R. K. Clark

AbstractA 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.


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