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Analytical method for observed powder diffraction intensity data based on maximum likelihood estimation

机译:基于最大似然估计的观测粉末衍射强度数据的解析方法

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摘要

A new methodology based on maximum likelihood estimation for structure refinement using powder diffraction data is proposed. The method can not only optimize the parameters adjusted in Rietveld refinement but also parameters to specify errors in a model for statistical properties of the observed intensity. The results of structure refinements with relation to fluorapatite Ca_5(PO_4)_3F, anglesite PbSO_4, and barite BaSO_4 are demonstrated. The structure parameters of fluorapatite and barite optimized by the new method are closer to single-crystal data than those optimized by the Rietveld method, while the structure parameters of anglesite, whose values optimized by the Rietveld method are already in good agreement with the single-crystal data, are almost unchanged by the application of the new method.
机译:提出了一种基于最大似然估计的利用粉末衍射数据进行结构细化的新方法。该方法不仅可以优化在Rietveld精修中调整的参数,而且可以优化参数以指定模型中观察到的强度统计特性的误差。证实了与氟磷灰石Ca_5(PO_4)_3F,角位PbSO_4和重晶石BaSO_4有关的结构细化的结果。新方法优化的氟磷灰石和重晶石的结构参数比Rietveld方法优化的更接近单晶数据,而Rietveld方法优化的角点的结构参数已经与单晶数据良好吻合。新方法的应用几乎没有改变晶体数据。

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