view article
Figure 7
Rendering of the shapes and their respective simulated diffraction patterns using two different detectors. From (a) to (d), the 3D rendering of the shape objects, defined using the Ellipsoid (a), SphericalHarmonics (b), RadialMap (c) and VolumeMap (d) models. The RadialMap example in (c) has an inset showing the array that was used for creating the shape, where the radius information is color coded. The corresponding diffraction patterns of samples (a)–(d), computed by PyScatman via the MSFT detector, are shown in (e)–(h). The third row, from (i) to (l), shows instead the equivalent simulation results provided by the Ideal detector. Here, the effects of photon statistics are clearly visible, along with the dependence on the value of the absorption coefficient. For example, the samples in (b) and (c) have an absorption coefficient [\beta = 0.01] and [\beta = 0.05], respectively, which reflect a signal-to-noise ratio higher in (k) than in (j). Refer to the examples in the main text for further details.

Journal logoJOURNAL OF
APPLIED
CRYSTALLOGRAPHY
ISSN: 1600-5767
Volume 55| Part 5| October 2022| Pages 1232-1246
https://doi.org/10.1107/S1600576722008068
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