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• W3098889606 abstract "Monte Carlo (MC) methods, based on random updates and the trial-and-error principle, are well suited to retrieve form-free particle size distributions from small-angle scattering patterns of non-interacting low-concentration scatterers such as particles in solution or precipitates in metals. Improvements are presented to existing MC methods, such as a non-ambiguous convergence criterion, nonlinear scaling of contributions to match their observability in a scattering measurement, and a method for estimating the minimum visibility threshold and uncertainties on the resulting size distributions." @default.
• W3098889606 created "2020-11-23" @default.
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• W3098889606 date "2013-02-14" @default.
• W3098889606 modified "2023-10-14" @default.
• W3098889606 title "Improvements and considerations for size distribution retrieval from small-angle scattering data by Monte Carlo methods" @default.
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• W3098889606 doi "https://doi.org/10.1107/s0021889813001295" @default.
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