Leonardi A, Neder R, Engel M (2022)
Publication Type: Journal article
Publication year: 2022
Book Volume: 55
Pages Range: 329-339
DOI: 10.1107/S1600576722001261
Structural characterization of powder samples via total scattering methods, in either real or reciprocal space, must take into account the effect of particle shape. Here, the shape contribution of a set of ideally isolated particles to the small-angle scattering (SAS) component of the intensity profile is modelled using the shape function [Svergun & Koch (2003). Rep. Prog. Phys. 66, 17351782]. The shape function is obtained by orientational averaging of common volume functions (CVFs) for a discrete set of directions. The effects of particle size and size dispersity are accounted for via scaling of the CVFs and their convolution with the underlying probability distribution. The method is applied to shapes with CVFs expressed analytically or by using discrete tables. The accurate calculation of SAS particle shape contributions up to large momentum transfer demonstrates the reliability and flexibility of modelling shape functions from sets of CVFs. The algorithm presented here is computationally efficient and can be directly incorporated into existing routines for analysis of powder total scattering data.
APA:
Leonardi, A., Neder, R., & Engel, M. (2022). Efficient solution of particle shape functions for the analysis of powder total scattering data. Journal of Applied Crystallography, 55, 329-339. https://dx.doi.org/10.1107/S1600576722001261
MLA:
Leonardi, Alberto, Reinhard Neder, and Michael Engel. "Efficient solution of particle shape functions for the analysis of powder total scattering data." Journal of Applied Crystallography 55 (2022): 329-339.
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