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- W2986224701 abstract "Small-angle scattering (SAS) offers a reliable route to characterize the nanostructure of large amounts of material with a minimum of tedium, for example, easily extracting size distributions and volume fractions. There are a variety of analysis programs available while the evaluation of SAS measurements has been dominated by the classical curve fitting approach. SASfit represents such a classical curve fitting toolbox: it is one of the mature programs for SAS data analysis and has been available and used for many years. The latest developments will be presented and a scattering function of a mass fractal model of branched polymers in solution is provided as an example for implementing a plug-in.Alternatively to classical curve fitting, part two presents the latest developments of the user-friendly open-source Monte Carlo regression package McSAS. The form-free Monte Carlo nature of McSAS means, it is not necessary to provide further restrictions on the mathematical form of the parameter distribution: without prior knowledge, McSAS is able to extract complex multimodal or odd- shaped parameter distributions from SAS data. The headless mode is presented by an example of operation within interactive programming environments such as a Jupyter notebook." @default.
- W2986224701 created "2019-11-22" @default.
- W2986224701 creator A5026799609 @default.
- W2986224701 date "2019-01-01" @default.
- W2986224701 modified "2023-09-26" @default.
- W2986224701 title "SASfit and McSAS - Analyzing Small-Angle Scattering of Polymers" @default.
- W2986224701 hasPublicationYear "2019" @default.
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