最大熵法在粉末衍射数据中的应用

O. Magdysyuk, S. V. Smaalen, R. Dinnebier
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引用次数: 0

摘要

本章提供了最大熵法(MEM)的全面概述,因为它是应用于计算无偏电子密度图的x射线粉末衍射数据。MEM需要一个严格的正电子密度图,该电子密度图由其在单元格上的细网格上的值描述(网格大小约为0.04 a)。为这种网格密度定义了熵,并讨论了先验或参考密度的作用。深入介绍了晶体学MEM方程和求解这些方程的各种迭代算法。所有这些考虑同样适用于单晶和x射线粉末衍射数据。通过包含结构因素的约束,将实验数据纳入MEM。具体到粉末衍射,有各种提取估计结构因子振幅或群振幅的方法,对单晶衍射数据除使用F约束外还使用G约束,以及估计结构因子相的各种方法。这就导致了各种类型的MEM映射的定义,从完全由结构模型偏置的映射到从头开始的电子密度映射。无论memm的类型如何,在memm优化的电子密度图中,序列终止效应远不如用相同数据获得的傅里叶图中突出。讨论了MEM的应用,包括改进结构模型(例如MEM + Rietveld方法),表征晶体结构中的无序和非简谐运动,作为结构解决方案的一部分,作为多极精化的替代方法,以及在非周期晶体超空间中的电子密度的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the maximum-entropy method to powder-diffraction data
This chapter provides a comprehensive overview of the maximum-entropy method (MEM) as it is applied to X-ray powder-diffraction data for computation of an unbiased electron-density map. The MEM requires a strictly positive electron-density map that is described by its values on a fine grid over the unit cell (with grid sizes of approximately 0.04 A). The entropy is defined for such a gridded density and the role of the prior or reference density is discussed. An in-depth presentation is given of the crystallographic MEM equations and the various iterative algorithms for solving these equations. All these considerations apply equally well to single-crystal and X-ray powder-diffraction data. The experimental data are incorporated into the MEM through constraints involving the structure factors. Specific to powder diffraction are the various methods for extracting estimates of the structure-factor amplitudes or group amplitudes, the use of G constraints in addition to F constraints on single-crystal diffraction data and the various methods of estimating the phases of the structure factors. This then leads to the definition of various types of MEM maps that range from maps completely biased by a structure model to ab initio electron-density maps. Irrespective of the type of MEM, series-termination effects are much less prominent in MEM-optimized electron-density maps than in Fourier maps obtained with the same data. Applications of the MEM are discussed concerning its use for improving structure models (e.g. the MEM + Rietveld method), its use for the characterization of disorder and anharmonic motion within crystal structures, its use as part of a protocol for structure solution, its use as an alternative to multipole refinements, and its application to electron densities in superspace for aperiodic crystals.
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