Theoretical Model of Diffraction Line Profiles as Combinations of Gaussian and Cauchy Distributions

G. B. Mitra
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引用次数: 3

Abstract

Previously we derived equations determining line broadening in ax-ray diffraction profile due to stacking faults. Here, we will consider line broadening due to particle size and strain which are the other factors affecting line broadening in a diffraction profile. When line broadening in a diffraction profile is due to particle size and strain, the theoretical model of the sample under study is either a Gaussian or a Cauchy function or a combination of these functions, e.g. Voigt and Pseudovoigt functions. Although the overall nature of these functions can be determined by Mitra’s R(x) test and the Pearson and Hartley x test, details of a predicted model will be lacking. Development of a mathematical model to predict various parameters before embarking upon the actual experiment would enable correction of significant sources of error prior to calculations. Therefore, in this study, predictors of integral width, Fourier Transform, Second and Fourth Moment and Fourth Cumulant of samples represented by Gauss, Cauchy, Voigt and Pseudovoigt functions have been worked out. An additional parameter, the coefficient of excess, which is the ratio of the Fourth Moment to three times the square of the Second Moment, has been proposed. For a Gaussian profile the coefficient of excess is one, whereas for Cauchy distributions, it is a function of the lattice variable. This parameter can also be used for determining the type of distribution present in aggregates of distorted crystallites. Programs used to define the crystal structure of materials need to take this parameter into consideration.
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结合高斯分布和柯西分布的衍射线轮廓理论模型
先前我们推导了由于层错导致的x射线衍射剖面线展宽的方程。在这里,我们将考虑由于粒度和应变引起的线展宽,这是影响衍射剖面中线展宽的其他因素。当衍射剖面中的线增宽是由于粒度和应变引起的,所研究样品的理论模型是高斯函数或柯西函数或这些函数的组合,例如Voigt函数和Pseudovoigt函数。虽然这些函数的总体性质可以通过Mitra的R(x)检验和Pearson和Hartley x检验来确定,但预测模型的细节将缺乏。在进行实际实验之前,建立一个数学模型来预测各种参数,这将能够在计算之前纠正重要的误差来源。因此,在本研究中,研究了以高斯、柯西、Voigt和Pseudovoigt函数表示的样本的积分宽度、傅里叶变换、第二和第四矩和第四累积量的预测因子。提出了一个附加参数,超额系数,即第四矩与第二矩的平方的三倍之比。对于高斯分布,过剩系数为1,而对于柯西分布,过剩系数是晶格变量的函数。该参数也可用于确定畸变晶体聚集体中存在的分布类型。用于定义材料晶体结构的程序需要考虑这个参数。
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