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Chapter 16
Aims & Objectives
This is first of the chapters on the subject of structure refinement
from powder diffraction data. Although powder diffraction dates back
to the early 20th century, it was only with the advent of the Rietveld
method, as published in 1969, that structure refinements from powder
samples became a serious proposition.
The aim of this section is to introduce you to the basic concepts involved
in the Rietveld method; you will be shown some practical tips on how to
get started with the Rietveld method in a later chapter.
Specific objectives are listed below:
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You will start with an introduction
to the subject of structure refinement, with an explanation of the
need for the method as proposed by Rietveld.
-
You will then learn about the concepts involved in the
Rietveld method
as originally published, both in theory and then in practice.
-
In order to appreciate the least-squares refinement procedure as used
by Rietveld computer programs, some knowledge of
least-squares is required:
it is strongly emphasised
that concepts are important here, and not the mathematics! In particular,
you will learn why both matrix and iterative methods
are used for non-linear least-squares problems.
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You will then learn about the agreement indices, known as
R-factors,
that are used to monitor the goodness-of-fit
during the refinement process. These are not the only factors that are used
to measure the quality of a fit: of equal importance are the
estimated standard deviations
(standard uncertainties) that are calculated from the least-squares matrix.
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Finally, a case study is provided to
demonstrate to you on a step-by-step basis how the structure of lead sulphate
is refined from a round-robin data powder neutron diffraction data set
by the Rietveld method.
This subject will be continued in further chapters
so many points not discussed here should be covered in the subsequent
sections.
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