2020
DOI: 10.3233/jnr-200154
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of SESANS data by numerical Hankel transform implementation in SasView

Abstract: SESANS data analysis has been implemented in the SasView software package, allowing SESANS experiments to be analyzed using a numerical Hankel transformation of isotropic small-angle scattering (SAS) models. The error of the numerical approximation is three orders of magnitude below typical experimental errors. All advanced data fitting features of SasView (multi-model fitting, batch fitting, and simultaneous/constrained fitting) are now also available for SESANS and this is demonstrated by examples of fitting… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 8 publications
(10 citation statements)
references
References 33 publications
0
10
0
Order By: Relevance
“…The solid lines, therefore, represent subsequent nonlinear least square fits with the polydisperse hard-sphere model, where the projected real-space correlation function G(ξ) is calculated by a numerical Hankel transform, according to Ref. [32] (Equation ( 3)), of the analytic expression of the scattered intensity according to Equations ( 5)- (12). The model thus accommodates the form factor (FG) of the spheres, i.e., the hard-sphere structure factor, for their high concentration and thus correlation, as well as their polydispersity.…”
Section: Resultsmentioning
confidence: 99%
“…The solid lines, therefore, represent subsequent nonlinear least square fits with the polydisperse hard-sphere model, where the projected real-space correlation function G(ξ) is calculated by a numerical Hankel transform, according to Ref. [32] (Equation ( 3)), of the analytic expression of the scattered intensity according to Equations ( 5)- (12). The model thus accommodates the form factor (FG) of the spheres, i.e., the hard-sphere structure factor, for their high concentration and thus correlation, as well as their polydispersity.…”
Section: Resultsmentioning
confidence: 99%
“…Normalization, primary beam masking, and background subtraction were carried out using RAW. 62 Analysis was carried out using SASView (version 4.1.2, http://www.sasview.org/) 63 assuming scattering length densities of 9.47 × 10 −6 /Å 2 and 126 × 10 −6 /Å 2 for the water and nanoparticles, respectively. As small metallic nanoparticles are known to be facetted, the data were fit assuming them to be square prisms, 64 which yielded good fits over the entire scattering vector range without needing to add polydispersity.…”
Section: Methodsmentioning
confidence: 99%
“…Several studies have explored polymer systems such as colloids [ 57 ] and fibrous calcium caseinate gels [ 58 ]. However, it is only recently that new instrumentation at large facilities [ 59 ], and straightforward analysis techniques, have emerged for structural determination [ 60 ]. There also exist possibilities to use this technique to look at the kinetics [ 61 ], and a similar approach could be undertaken to look at the kinetics of film formation.…”
Section: Advanced Structural Characterization Of Pil-based Membranesmentioning
confidence: 99%