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HFIT, A Program for Interactive Analysis of Powder Diffraction Data

Published online by Cambridge University Press:  06 March 2019

G. Will  and
Ch. Höffner
G. Will
Affiliation:
Mineralogical Institute of Bonn University D-5300 Bonn 1, Germany
Ch. Höffner
Affiliation:
Mineralogical Institute of Bonn University D-5300 Bonn 1, Germany
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Abstract

HFIT is a program for the analysis of diffraction diagrams containing overlapping peak clusters. Profile functions have been implemented to analyze synchrotron diffraction data. It is written un Turbo C++ for PC operations. The analysis is done by operator interaction. The analysis is done on sections of the diffractogram containing a maximum of 2048 data points or 100 diffraction maxima. Special care is taken for smoothing the data and for the subtraction of background.

Type
VIII. XRD Profile Fitting, Crystallite Size and Strain Determination
Information
Advances in X-Ray Analysis , Volume 35 , Issue A: First Pacific-International Congress on X-ray Analytical Methods (PICXAM). Fortieth Annual Conference on Applications of X-ray Analysis, August 7-16, 1991 , 1991 , pp. 571 - 576
Copyright
Copyright © International Centre for Diffraction Data 1991

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References

Lauterjung, J., Will, G., and Hinze, E., 1985, A Fully Automatic Peak-Search Program for the Evaluation of Gauss-Shaped Diffraction Patterns Nucl. Instr. and Methods in Physics Research A239:281–287 Google Scholar
Press, W., Flannery, B., Teukolsky, S., and Vetterling, W., 1988, “Numerical Recipes in C”. Cambridge Google Scholar
Savitzky, A., and Golay, M.J.E., 1964, Smoothing And Differentiation of Data By Simplified Least Squares Procedures, Anal. Chem., 8, 36:1627Google Scholar
Steiner, J., Termonia, Y., and Deltour, J., 1972, Comments on Smoothing And Differentiation of Data By Simplified Least Squares Procedure, Anal. Chem., 1972, 11, 44:1906Google Scholar
Steenstrup, S., 1981, A Simple Procedure for Fitting a Background to a Certain Class of Measured Spectra, J. Appl.Cryst., 14:226 Google Scholar
Akima, H.,1970, A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures, Jou.of Assc.for Comp.Mach., 17:589 Google Scholar