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ASTRA 4.0 Program: Data Reduction for Obtaining Structure Results of Extreme Accuracy

  • CRYSTALLOGRAPHIC SOFTWARE AND APPARATUS
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Abstract

Unique methods for processing diffraction data, which guarantee extreme accuracy and reliability, have been implemented in the ASTRA 4.0 software package. The central (data-forming) element is a program for averaging intensities of repeated and equivalent reflections. The ASTRA averaging algorithm makes it possible to calculate the average intensity and its standard uncertainty, which correspond to normal distribution law for errors in data. Such data yield an unbiased estimate of the parameters of refined structural model at minimum reliability factors. To make the averaging program successfully operate, one must introduce all corrections for anisotropic effects into the reflection’s intensities. The following stages of investigation are considered: sample preparation; calibration of diffractometer; and correction for absorption, thermal diffuse scattering, and simultaneous reflections. A significant advantage of the proposed approaches is proven on several examples.

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ACKNOWLEDGMENTS

This study was supported by the Federal Agency for Scientific Organizations (contract no. 007-ГЗ/Ч3363/26) in the part of the development of algorithms and programming. Study of dodecaboride crystals and diffractometer calibration were supported by the Russian Foundation for Basic Research, project nos. 16-02-00171 and 17-53-45107, respectively. Some part of experimental data were measured using equipment of the Shared Research Center of the Federal Scientific Research Centre “Crystallography and Photonics” of the Russian Academy of Sciences.

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  1. Shubnikov Institute of Crystallography, Federal Scientific Research Centre “Crystallography and Photonics,” Russian Academy of Sciences, 119333, Moscow, Russia

    A. P. Dudka

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  1. A. P. Dudka
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Correspondence to A. P. Dudka.

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Translated by Yu. Sin’kov

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Dudka, A.P. ASTRA 4.0 Program: Data Reduction for Obtaining Structure Results of Extreme Accuracy. Crystallogr. Rep. 63, 1051–1056 (2018). https://doi.org/10.1134/S1063774518050085

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