Development of Algorithms for Analysis of Small-Angle X-Ray Scattering Data from Polydisperse and Partially Ordered Systems
https://doi.org/10.56304/S2079562922050244
Abstract
The small-angle X-ray scattering method allows studying the structure of solutions of proteins, polymers and metal nanoparticles in the range of 1–200 nm. The development of new and improvement of the available algorithms for the analysis of experimental data of small-angle X-ray scattering data is an important task. This study presents a number of algorithms that allow one to find the particle size distribution functions, restore the intensity profiles of individual components in protein mixtures, and estimate the size of the crystallinity region and spacing distances in partially ordered systems. A number of algorithms are implemented in computer programs using the cross-platform graphics library Qt, which significantly expands the number of the potential users. The efficiency of the algorithms has been demonstrated on a number of theoretical and experimental small-angle X-ray scattering data.
About the Authors
P. V. Konarev
Shubnikov Institute of Crystallography, FSRC “Crystallography and Photonics”, Russian Academy of Sciences; National Research Centre “Kurchatov Institute”
Russian Federation
Russian Federation
Moscow, 119333; Moscow, 123182
V. V. Volkov
National Research Centre “Kurchatov Institute”
Russian Federation
Russian Federation
Moscow, 123182
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Review
For citations:
Konarev P.V., Volkov V.V. Development of Algorithms for Analysis of Small-Angle X-Ray Scattering Data from Polydisperse and Partially Ordered Systems. Nuclear Physics and Engineering. 2023;14(4):408-414. (In Russ.) https://doi.org/10.56304/S2079562922050244
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