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

## TL;DR

This paper develops theoretical models and methods for analyzing small-angle scattering data from deterministic fractal structures, enabling extraction of detailed structural information beyond traditional parameters.

## Contribution

It introduces new models for deterministic fractals that allow for more comprehensive analysis of SAS data, including additional structural characteristics and analytic intensity descriptions.

## Key findings

- Models accurately describe SAS from deterministic fractals
- Deterministic structures provide more structural information than random ones
- Analytic expressions facilitate efficient data analysis

## Abstract

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.