Improvements and considerations for size distribution retrieval from small-angle scattering data by Monte Carlo methods.
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ABSTRACT:
SUBMITTER: Pauw BR
PROVIDER: S-EPMC3627408 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Publications
Improvements and considerations for size distribution retrieval from small-angle scattering data by Monte Carlo methods.
Pauw Brian R BR Pedersen Jan Skov JS Tardif Samuel S Takata Masaki M Iversen Bo B BB
Journal of applied crystallography 20130214 Pt 2
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 ...[more]
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