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Novel treatment of the experimental data in the application of the maximum-entropy method to the determination of the electron-density distribution from x-ray experiments

机译:最大熵方法在X射线实验确定电子密度分布中的应用实验数据的新颖处理

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摘要

The maximum-entropy method (MEM) has been tested on a limited set of noisy Fourier data from a known electron-density distribution (EDD). It is shown that maximizing the entropy of the EDD under the usual condition of fitting the variance of the data set does not necessarily lead to a satisfactory error distribution of the calculated reflections. The MEM property of producing the flattest EDD consistent with the data causes the calculated values of strong reflections to deviate systematically as much as possible from their measured values. Calculated values of strong reflections are usually smaller than their measured values. The use of a novel constraint on the entropy maximization greatly improves the form of the error distribution and also the calculated EDD.
机译:已对来自已知电子密度分布(EDD)的一组有限的嘈杂傅立叶数据进行了最大熵方法(MEM)的测试。结果表明,在拟合数据集方差的通常条件下使EDD的熵最大并不一定会导致令人满意的计算反射误差分布。产生与数据一致的最平坦的EDD的MEM特性使强反射的计算值尽可能系统地偏离其测量值。强反射的计算值通常小于其测量值。在熵最大化上使用新颖的约束条件极大地改善了误差分布的形式以及计算出的EDD。

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