Desmearing two-dimensional small-angle neutron scattering data by central moment expansions
Guan-Rong Huang, Chi-Huan Tung, Weijian Hua, Yifei Jin, Lionel Porcar,, Yuya Shinohara, Christoph U. Wildgruber, Changwoo Doc, Wei-Ren Chen

TL;DR
This paper introduces a model-free central moment expansion method to effectively desmear two-dimensional SANS data, improving accuracy and efficiency in analyzing anisotropic scattering patterns in soft matter research.
Contribution
The paper presents a novel central moment expansion technique for desmearing anisotropic SANS data, addressing directional resolution variations without relying on specific scattering models.
Findings
Accurately reconstructs desmeared intensity distributions from smeared data.
Validates the method with computational benchmarks on fluid and polymer models.
Demonstrates robustness with experimental rheo-SANS data.
Abstract
Resolution smearing is a critical challenge in the quantitative analysis of two-dimensional small-angle neutron scattering (SANS) data, particularly in studies of soft matter flow and deformation using SANS. We present the central moment expansion technique to address smearing in anisotropic scattering spectra, offering a model-free desmearing methodology. By accounting for directional variations in resolution smearing and enhancing computational efficiency, this approach reconstructs desmeared intensity distributions from smeared experimental data. Computational benchmarks using interacting hard-sphere fluids and Gaussian chain models validate the accuracy of the method, while simulated noise analyses confirm its robustness under experimental conditions. Furthermore, experimental validation using the rheo-SANS data of shear-induced micellar structures demonstrates the practicality and…
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Taxonomy
TopicsNuclear Physics and Applications · Geological and Geophysical Studies · Hydrocarbon exploration and reservoir analysis
