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arXiv 1106.2089cond-mat.stat-mechcond-mat.mes-hallcond-mat.mtrl-scicond-mat.soft
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确定性分形:从小角散射数据中提取附加信息

Deterministic fractals: extracting additional information from small-angle scattering data

A. Yu. Cherny, E. M. Anitas, V. A. Osipov, A. I. Kuklin

摘要:

在动量空间中研究和分析了确定性质量分形的小角散射曲线。在分形区域,曲线I(q)q^D具有良好的精度,是对数周期的,周期等于分形的标度因子。这里D和I(q)分别是分形维数和散射强度。该曲线的周期数与分形迭代的次数一致。我们证明了I(q)q^D在动量空间中的对数周期性与实空间中量g(r)r^{3-D}的对数周期性有关,其中g(r)是对分布函数。通过将散射强度的最小值和最大值位置与真实空间中的对距离分布相关联来明确地估计它们。它示出的最小值和最大值阻尼与分形集的多分散性的增加,然而,它们仍然相当明显,即使在足够大的值的多分散性。引入了一种分形维数可控的广义自相似Vicsek分形,并研究了它的散射特性。与通常的方法相比,本分析使我们不仅可以获得分形维数和分形区域的边缘,而且分形迭代次数,缩放因子,和分形组成的结构单元的数量。

英文摘要:

The small-angle scattering curves of deterministic mass fractals are studied and analyzed in the momentum space. In the fractal region, the curve I(q)q^D is found to be log-periodic with a good accuracy, and the period is equal to the scaling factor of the fractal. Here D and I(q) are the fractal dimension and the scattering intensity, respectively. The number of periods of this curve coincides with the number of fractal iterations. We show that the log-periodicity of I(q)q^D in the momentum space is related to the log-periodicity of the quantity g(r)r^{3-D} in the real space, where g(r) is the pair distribution function. The minima and maxima positions of the scattering intensity are estimated explicitly by relating them to the pair distance distribution in the real space. It is shown that the minima and maxima are damped with increasing polydispersity of the fractal sets; however, they remain quite pronounced even at sufficiently large values of polydispersity. A generalized self-similar Vicsek fractal with controllable fractal dimension is introduced, and its scattering properties are studied to illustrate the above findings. In contrast with the usual methods, the present analysis allows us to obtain not only the fractal dimension and the edges of the fractal region, but also the fractal iteration number, the scaling factor, and the number of structural units from which the fractal is composed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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