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Optimization of the genetic algorithm of jointly fitting different types of X-ray scattering curves

机译:联合拟合不同类型X射线散射曲线的遗传算法的优化

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摘要

A method for jointly processing X-ray scattering data of different types is developed. It is shown that, by optimizing the genetic algorithm of the joint solution of the inverse problem of X-ray diffractometry and reflectometry, one can reduce the amount of calculations and reliably determine the parameters of layers in the structure under study, even when the information about them is a priori limited.
机译:开发了一种共同处理不同类型的X射线散射数据的方法。结果表明,通过优化X射线衍射法和反射法反问题联合解的遗传算法,即使信息量很大,也可以减少计算量并可靠地确定研究结构中各层的参数。关于它们的先验限制。

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