Unit cell determination and refinement
403
1.
Generating a list of all possible combinations of symmetrically
independent
hkl
triplets, which can be observed within the studied range
of Bragg angles.
2.
Calculating interplanar distances using the generated list of hkl, the best
estimate of the unit cell dimensions (a, b,
c,
a,
P,
and
y)
and the
appropriately simplified form of Eq.
5.2
(see Eqs. 2.29 to 2.34).
3. Assigning hkl triplets to the observed Bragg peaks based on the minimum
difference between ~P~%nd dcalchkl (or gobs and 9calchk~).
4. Refining the unit cell dimensions using 9•‹b~oupled with the assigned hkl
triplets,
i.e. using 0Ob$kl.
Although the indexing process may take several iterations, each resulting
in a more accurate assignment of indices and in a better approximation of the
unit cell, finding the best solution is usually trivial.
When both the symmetry of the lattice and unit cell dimensions are
unknown, the ab initio indexing of powder diffraction data often becomes a
trial-and-error process and finding the correct unit cell may be a challenge.
This occurs because the assignment of hkl triplets to each observed Bragg
peak is done without prior knowledge of the unit cell parameters (a total of
six in the most general case). Clearly, this task is equivalent to restoring the
directions of all observed reciprocal vectors based only on their lengths, so
to say one needs to restore a three-dimensional image from a single one-
dimensional projection. Referring to Figure 5.1, it is nearly as easy to obtain
the lower part of the figure from its upper part, as it is difficult to reconstruct
the latter if only the former is known.
The difficulty of the ab initio indexing may be further illustrated using a
non-crystallographic geometrical example by considering a cone, a cylinder
and a sphere, all of which have identical radii. Under certain conditions, it is
possible that their projections are reduced to identical circles in two
dimensions and then to indistinguishable lines in one dimension,' as shown
in Figure 5.2. Assuming that there is no additional information about these
objects and their projections, it is impossible to restore the correct shape of
the object in three dimensions based on a single one-dimensional projection.
The problem of indexing powder diffraction data is intricate but not as
hopeless as it may appear from Figure 5.2 due to the presence of governing
laws,
i.e. Eqs. 5.1 to 5.3. They define a set of rules for the reconstruction of
the reciprocal lattice, in which a vector of a given length may only realize a
limited number of orientations. The ab initio indexing is, therefore, possible
because vector directions should be such that their ends form a three-
dimensional lattice. A two-dimensional example is found in Figure 5.3,
Strictly speaking, the shape of each figure could be restored from two-dimensional
shadows (projections) if the objects are semitransparent. Recognition becomes impractical
from one-dimensional projections.