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Indexing Powder Diffraction Patterns

Published online by Cambridge University Press:  06 March 2019

Dan McLachlan
Affiliation:
Department of Mineralogy, The Ohio State University, Columbus, Ohio 43210
Sylvia Chen
Affiliation:
Department of Mineralogy, The Ohio State University, Columbus, Ohio 43210
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Abstract

Despite the fact that the many researchers, who have worked on the problem of indexing powder diffraction patterns, have made several important advances in the field and have proven in theory at least that any pattern can eventually be indexed, the procedures are frequently so laborious as to drive the investigator to despair. Starting with the knowledge that convolution functions and particularly self-convolutions ﹛so well known to crystallographers as Patterson functions) have the power to find the distances between points in space, and knowing that reciprocal space is filled with repeating distances, the present authors have evolved a graphical system for carrying out the previously discovered procedures in an easy and rapid manner.

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Type
Research Article
Copyright
Copyright © International Centre for Diffraction Data 1970

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