Isotropy  The property of being
directionally independent, implying no variation of specified physical
properties with direction.

Anisotropy  The property of being
directionally dependent, implying variation of specified physical
properties with direction.

Diffraction limit  The isotropic or
anisotropic limit on average of statistically significant data (also
known as the 'resolution limit'), depending on both the
properties of the crystal and the datacollection strategy.

Threshold  Criterion used to make a decision
on rejection of data.

Spherical shell  Region of reciprocal space
lying between two defined reciprocalspace radii (d*). The
statistics of both isotropic and anisotropic properties are analyzed in
spherical shells.

Diffraction cutoff  Cutoff applied to all
diffraction data outside a single closed isotropic or anisotropic
surface in reciprocal space defining the assumed boundary between, on
average, statistically significant and insignificant data. In the
case of an isotropic surface only one parameter is needed to define it,
i.e. the radius of the limiting sphere. In the general case
the surface is anisotropic and one parameter (or even a small number of
parameters) is not sufficient.

Possible data  All reflections inside the
greatest value of d* for diffraction cutoffs in all directions,
regardless of whether or not an intensity was measured (systematic
absences are excluded everywhere).

Measured data  All possible reflections with
an experimental intensity and standard uncertainty.

Unmeasured data  All possible reflections
without an experimental intensity and standard uncertainty.

Observed data  All measured reflections
inside the diffraction cutoff surface and included in the statistical
tables and the reflection output file.

Unobserved data  All measured reflections
outside the diffraction cutoff surface and excluded from the
statistical tables and the reflection output file.

Observable data  All unmeasured reflections
inside the diffraction cutoff surface (i.e. expected to be
observed).

Unobservable data  All unmeasured
reflections outside the diffraction cutoff surface (i.e.
expected to be unobserved).

Fitted ellipsoid  Ellipsoid fitted by a
multidimensional search and weighted least squares algorithm to the
reflection data immediately neighboring the diffraction cutoff
surface. Used to reduce the number of parameters required to define
the anisotropic diffraction cutoff surface and thereby estimate the
anisotropic diffraction limits and predict observable data.

DebyeWaller factor  Attenuation factor of
each measured intensity and its standard uncertainty due to thermal
motion and/or static disorder: exp(4 π^{2}
s_{h}^{T} U
s_{h}) , where s_{h} is the
reciprocallattice (column) vector,
s_{h}^{T} is the same as a row vector and
U is the overall anisotropy tensor (= B / 8
π^{2}).

Intensity prior  Expected intensity,
estimated from a spherical intensity distribution obtained from
experimental data or from a model, combined with the symmetry
enhancement factor and the isotropic or anisotropic DebyeWaller factor.

Anisotropy correction factor  The inverse
of the square root of the anisotropic DebyeWaller factor applied as a
multiplicative correction of the amplitudes after Bayesian estimation
from the intensities: exp(2 π^{2}
s_{h}^{T} ΔU
s_{h}) where ΔU is the overall
anisotropy U tensor after subtraction of U_{eq}
from its diagonal elements, where U_{eq} is the isotropic
equivalent U (mean of the eigenvalues), so that the trace of
ΔU is zero.

Completeness  Number of data as a fraction
of the number of possible data in any defined volume of reciprocal
space (e.g. within the intersection of a spherical shell with the
fitted ellipsoid).

Redundancy  The count of the measurements of
a reflection that contribute to the final average, either as exact
repeats of the indices, or as equivalent indices in the Laue class of the
crystal. The purpose of redundancy is faulttolerance, i.e.
improvement of the reliability of the averaged intensity (in whatever
way that averaging is performed, possibly with outlier rejection).

Anomalous redundancy  If anomalous
scattering is present, the counts of contributing equivalent reflections
whose indices are related only by a proper rotation to the
arbitrarilychosen indices in the asymmetric unit of the Laue class may
be counted separately from reflections whose indices are related by a
combination of proper rotation with inversion ('Bijvoet
equivalents'). For example, these are the columns labelled 'N(+)'
and 'N()' respectively in a merged MTZ file, i.e. total
redundancy = N(+) + N().

(Anomalous) multiplicity  As (anomalous)
redundancy. Beware that it may also refer to other ways in
which multiple instances of a reflection's indices may be counted,
depending on the context.

Anisotropy ratio  Difference between the
largest and smallest eigenvalues of the overall anisotropy U
tensor divided by U_{eq} : (E_{max} 
E_{min}) / U_{eq}. This metric lies
between zero (isotropic) and 3 (maximally anisotropic).

Fractional anisotropy  The RMS deviation of
the eigenvalues from the mean, scaled to lie between zero and one:
√(1.5 Σ_{i} (E_{i} 
U_{eq})^{2} / Σ_{i}
E_{i}^{2}). Unlike the anisotropy ratio this
metric takes into account all 3 eigenvalues.

Anisotropic S/N ratio  The maximum value
over all observed reflections of the absolute deviation of the squared
anisotropy correction factor from 1, multiplied by the local mean
intensity / standard uncertainty ratio:
Max_{h} ( exp(4 π^{2}
s_{h}^{T} ΔU
s_{h})  1  <I_{h} /
σ(I_{h})>) . Unlike the anisotropy
ratio and the fraction anisotropy this takes into account both the fact
that large anisotropies represent larger differences in intensity at
high d* and that there will be a greater contribution from
reflections with a high value of the local mean intensity / standard
uncertainty ratio. This metric is zero in the isotropic case, with
no limit in the anisotropic case.

Weighted CC_{½}  The
inversevarianceweighted halfdataset Pearson productmoment
correlation coefficient, where the variances are those of the overall
inversevarianceweighted mean intensities. If the halfdataset
inversevarianceweighted mean intensities are available (e.g.
from MRFANA), this is computed using the standard formula for the weighted correlation coefficient. If the
halfdataset weighted mean intensities are not available it is computed
using a modification (i.e. using inversevariance weighting as
above) of the 'στ' method of Assmann et al.

Fisher transformation of the weighted
CC_{½}  This uses the standard formula.

KullbackLeibler divergence (a.k.a. 'relative
entropy')  This uses the standard formula with logarithms base 2, so its unit
is the bit (binary digit).
