- PII
- 10.31857/S0023476124060063-1
- DOI
- 10.31857/S0023476124060063
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 69 / Issue number 6
- Pages
- 971-980
- Abstract
- The interest in spiral particles lies in their resemblance to authentic nanostructures that emerge through the self-organisation of biopolymers (such as carrageenans, DNA, and so forth). Conversely, the determination of the structural parameters of such particles based on small-angle scattering data is challenging due to the lack of conditioning in the inverse problem. This is demonstrated by the utilisation of established bead structure modelling software. This paper considers a modification of the search algorithm in a limited area of space and the behaviour of solutions depending on the values of the parameters of the objective function responsible for the connectivity and looseness of the structure, the type of weighing of the scattering intensity curve, and the width of the angular range of data. In order to statistically assess the stability of the solutions, a sequential model search mode was applied, with varying amounts of contributions of penalty terms. The empirical dependences of the optimal values of the search parameters with respect to the parameters of the distribution curve of paired distances were determined.
- Keywords
- Date of publication
- 15.09.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 16
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