Library
local_library Home Repository

Analysis of SESANS data by numerical Hankel transform implementation in SasView

Journal Article (2020)
Author(s)

J.H. Bakker (TU Delft - RST/Neutron and Positron Methods in Materials, TU Delft - RST/Radiation, Science and Technology)

Adam L. Washington (Rutherford Appleton Laboratory)

S. R. Parnell (TU Delft - RID/TS/Instrumenten groep, TU Delft - RST/Radiation, Science and Technology)

A. A. van Well (TU Delft - RID/Algemeen/Bedrijfsondersteuning, TU Delft - RST/Radiation, Science and Technology)

C. Pappas (TU Delft - RST/Radiation, Science and Technology, TU Delft - RST/Neutron and Positron Methods in Materials)

Wim G. Bouwman (TU Delft - RST/Radiation, Science and Technology, TU Delft - RST/Neutron and Positron Methods in Materials)

Research Group
RST/Neutron and Positron Methods in Materials
Copyright
© 2020 J.H. Bakker, Adam L. Washington, S.R. Parnell, A.A. van Well, C. Pappas, W.G. Bouwman
DOI related publication
https://doi.org/10.3233/jnr-200154
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 J.H. Bakker, Adam L. Washington, S.R. Parnell, A.A. van Well, C. Pappas, W.G. Bouwman
Research Group
RST/Neutron and Positron Methods in Materials
Issue number
1
Volume number
22
Pages (from-to)
57-70
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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 SAS models to SESANS measurements.