Abstract
With triple-phase relationships treated as linear equations it is possible to refine a set of phases from given initial values. Phases so obtained are better than those found by refining to self-consistency with the tangent formula. An investigation of the radius of convergence of the least-squares refinement process showed that a substantially correct solution may often be found even starting with random phases. Systems containing up to 300 phases have been investigated and the results and their implications are discussed. It is concluded that the random approach can, at the very least, be used to obtain 70--100 phases as a good starting point for phase development. There is also the possibility of obtaining a sufficient number of phases directly to define a reasonably complex structure, especially with a computer augmented by an array processor. A problem which can arise with linear equations, as with the tangent formula, is that the phases obtained do not adequately define the enantiomorph and give an E map with a pseudo centre of symmetry. Two methods of overcoming this problem are described.
Keywords
Related Publications
On the application of phase relationships to complex structures. XII. The use of magic integers in phase determination
The use of magic integers in phase determination is examined in the light of the theory of Main [Acta Cryst. (I 977). A33, 750-757]. The integers may be used in the economical s...
Symmetry and Topology in Non-Hermitian Physics
We develop a complete theory of symmetry and topology in non-Hermitian\nphysics. We demonstrate that non-Hermiticity ramifies the celebrated\nAltland-Zirnbauer symmetry classifi...
The joint probability distribution of any set of phases given any set of diffraction magnitudes. IV. The active use of psi-zero triplets
In some recent papers [Giacovazzo, Burla & Cascarano (1992). Acta Cryst. A48, 901–906; Burla, Cascarano & Giacovazzo (1992). Acta Cryst. A48, 906–912; Cascarano, Giacovazzo, Mol...
The reduced linear equation method in coupled cluster theory.
A numerical procedure for efficiently solving large systems of linear equations is presented. The approach, termed the reduced linear equation (RLE) method, is illustrated by so...
Structure solution by minimal-function phase refinement and Fourier filtering. I. Theoretical basis
Eliminating the N atomic position vectors rj, j = 1, 2, ..., N, from the system of equations defining the normalized structure factors EH yields a system of identities that the ...
Publication Info
- Year
- 1978
- Type
- article
- Volume
- 34
- Issue
- 6
- Pages
- 883-892
- Citations
- 20
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1107/s0567739478001837