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Review of the direct derivation method: quantitative phase analysis with observed intensities and chemical composition data

机译:审查直接推导方法:具有观察到强度和化学成分数据的定量相位分析

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The direct derivation (DD) method is a technique for quantitative phase analysis (QPA). It can be characterized by the use of the total sums of scattered/diffracted intensities from individual components as the observed data. The crystal structure parameters are required when we calculate the intensities of reflections or diffraction patterns. Intensity can, however, be calculated only with the chemical composition data if it is not of individual reflections but of a total sum of diffracted/scattered intensities for that material. Furthermore, it can be given in a form of the scattered intensity per unit weight. Therefore, we can calculate the weight proportion of a component material by dividing the total sum of observed scattered/diffracted intensities by the scattered intensity per unit weight. The chemical composition data of samples under investigation are known in almost all cases at the stage of QPA. Thus, a technical problem is how to separate the observed diffraction pattern of a mixture into individual component patterns. Various pattern decomposition techniques currently available can be used for separating the pattern of a mixture. In this report, the theoretical background of the DD method and various techniques for pattern decompositions are reviewed along with the examples of applications.
机译:直接推导(DD)方法是用于定量相位分析(QPA)的技术。它可以特征在于使用各个组件的散射/衍射强度的总和作为观察到的数据。当我们计算反射或衍射模式的强度时,需要晶体结构参数。然而,如果它不具有单个反射,则强度可以仅使用化学成分数据计算,而是该材料的总和的衍射/分散强度的总和。此外,可以以每单位重量的散射强度的形式给出。因此,我们可以通过将观察到的散射/衍射强度除以每单位重量的散射强度来计算成分材料的重量比例。在QPA阶段的几乎所有病例中都已知正在调查中的化学成分数据。因此,技术问题是如何将混合物的观察到的衍射图案分离成单独的组分图案。目前可用的各种模式分解技术可用于分离混合物的图案。在本报告中,与应用示例一起审查DD方法的理论背景和模式分解的各种技术。

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