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Figure 3
Effect of over- or under-estimated errors on parameter refinement. (a) Examples of simulated SANS data with over- or under-estimated errors. (b)–(e) Radii of the core–multishell model when refined 50000 times against SAXS and SANS data, with the latter having errors that are over- or under-estimated by a factor between 0.1 (highly underestimated) and 10 (highly overestimated).

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