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  5. <i>SHELXT</i>– Integrated space-group and crystal-structure determination

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Article
English
2014

<i>SHELXT</i>– Integrated space-group and crystal-structure determination

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English
2014
Acta Crystallographica Section A Foundations and Advances
Vol 71 (1)
DOI: 10.1107/s2053273314026370

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In Memory: G.M. Sheldrick (1942–2025)
In Memory: G.M. Sheldrick (1942–2025)

University of Gottingen

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Abstract

The new computer program SHELXT employs a novel dual-space algorithm to solve the phase problem for single-crystal reflection data expanded to the space group P1. Missing data are taken into account and the resolution extended if necessary. All space groups in the specified Laue group are tested to find which are consistent with the P1 phases. After applying the resulting origin shifts and space-group symmetry, the solutions are subject to further dual-space recycling followed by a peak search and summation of the electron density around each peak. Elements are assigned to give the best fit to the integrated peak densities and if necessary additional elements are considered. An isotropic refinement is followed for non-centrosymmetric space groups by the calculation of a Flack parameter and, if appropriate, inversion of the structure. The structure is assembled to maximize its connectivity and centred optimally in the unit cell. SHELXT has already solved many thousand structures with a high success rate, and is optimized for multiprocessor computers. It is, however, unsuitable for severely disordered and twinned structures because it is based on the assumption that the structure consists of atoms.

How to cite this publication

In Memory: G.M. Sheldrick (1942–2025) (2014). <i>SHELXT</i>– Integrated space-group and crystal-structure determination. Acta Crystallographica Section A Foundations and Advances, 71(1), pp. 3-8, DOI: 10.1107/s2053273314026370.

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Publication Details

Type

Article

Year

2014

Authors

1

Datasets

0

Total Files

0

Language

English

Journal

Acta Crystallographica Section A Foundations and Advances

DOI

10.1107/s2053273314026370

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