分形
回转半径
统计物理学
比例(比率)
封面(代数)
半径
小角度散射
分形维数
非线性系统
指数
散射
物理
数学
数学分析
光学
聚合物
计算机科学
机械工程
语言学
哲学
计算机安全
核磁共振
量子力学
工程类
标识
DOI:10.1107/s0021889810033856
摘要
The Beaucage model is used to analyze small-angle scattering (SAS) data from fractal and particulate systems. It models the Guinier and Porod regions with a smooth transition between them and yields a radius of gyration and a Porod exponent. This model is an approximate form of an earlier polymer fractal model that has been generalized to cover a wider scope. The practice of allowing both the Guinier and the Porod scale factors to vary independently during nonlinear least-squares fits introduces undesired artefacts in the fitting of SAS data to this model. Such artefacts as well as an error in the original formulation of the model are discussed. This model is compared with other published models.
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