
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.