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arxiv: 1901.10515 · v1 · pith:ERHZLWUXnew · submitted 2019-01-29 · ❄️ cond-mat.soft · cond-mat.mtrl-sci

The structure of deterministic mass and surface fractals: theory and methods of analyzing small-angle scattering data

classification ❄️ cond-mat.soft cond-mat.mtrl-sci
keywords structuresdeterministicfractaldatafractalsadditionalanalyzingmass
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Small-angle scattering (SAS) of X-rays, neutrons or light from ensembles of randomly oriented and placed deterministic fractal structures are studied theoretically. In the standard analysis, a very few parameters can be determined from SAS data: the fractal dimension, and the lower and upper limits of the fractal range. The self-similarity of deterministic structures allows one to obtain additional characteristics of their spatial structures. The paper considers models which can describe accurately SAS from such structures. The developed models of deterministic fractals offer many advantages in describing fractal systems, including the possibility to extract additional structural information, an analytic description of SAS intensity, and effective computational algorithms. Generalized Cantor fractals and few of its variants are used as basic examples to illustrate the above concepts and to model physical samples with mass, surface, and multi-fractal structures. The differences between the deterministic and random fractal structures in analyzing SAS data are emphasized. Several limitations are identified in order to motivate future investigations of deterministic fractal structures.

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