Bayesian methods and maximum
entropy reconstruction of spin densities
Jacques Schweizer
CEA-Grenoble,
DSM/DRFMC/SPSMS/MDN, 38054 Grenoble Cedex 9, France
Magnetic structure factors are the
Fourier components of the periodic spin (magnetization) density in magnetic
crystals. The usual way to retrieve the spin density from experimental
structure factors is the inverse Fourier transformation.
This method however suffers several
drawbacks, as for instance in treating in the same way all the data, whatever
their uncertainty is, or also in providing a map which is in complete agreement
(chi2=0) with the experimental data.
Bayesian methods propose another
approach which optimizes together the agreement with experimental data, but
also the intrinsic probability of the map. This intrinsic probability is
represented by the entropy of the map in terms of the theory of information and
optimizing the intrinsic probability implies maximizing the entropy of the map.