view article
Figure 4
Size-distribution inversion of polydisperse spheres using a SANS data set. The intensity data contain 986 points; we cut off its noisy high-q end to keep 285 points for inversion. The radius r ranges from 400 to 800 Å, discretized by 1000 points. (a) shows the convergence of [\hat{w}(r)] in one FFSAS run through the trust-region iterations; the final one suggests four populations, as annotated by their Gaussian approximations. (b) compares the [\hat{w}(r)] curves obtained by the four codes; for SasView, we use one Gaussian as the functional form. Because Irena (MaxEnt), SasView and McSAS all yield a flat [\hat{w}(r)], we choose one of the early FFSAS solutions (after 25 iterations) for the comparison. The area under all the [\hat{w}(r)] curves is 1, so the y-axis scale of (b) (dispersive or flat) is much smaller than that of (a) (localized or spiky). (c) shows the intensity observation and the I(q) curves predicted by the [\hat{w}(r)] curves given in (b), plus one for perfect monodispersity at 710 Å as a baseline.

Journal logoJOURNAL OF
APPLIED
CRYSTALLOGRAPHY
ISSN: 1600-5767
Volume 55| Part 4| August 2022| Pages 966-977
https://doi.org/10.1107/S1600576722006379
Follow J. Appl. Cryst.
Sign up for e-alerts
E-alerts
Follow J. Appl. Cryst. on Twitter
Twitter
Follow us on facebook
Facebook
Sign up for RSS feeds
RSS