Improvements and considerations for size distribution retrieval from small-angle scattering data by Monte Carlo methods

Brian R. Pauw, Jan Skov Pedersen, Samuel Tardif, Masaki Takata, Bo B. Iversen

研究成果: Article査読

67 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)365-371
ページ数7
ジャーナルJournal of Applied Crystallography
46
2
DOI
出版ステータスPublished - 2013 4月
外部発表はい

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)

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