Inelastic Neutron Scattering Analysis with Time-Dependent Gaussian-Field Models
Cedric J. Gommes, Reiner Zorn, Sebastian Jaksch, Henrich Frielinghaus,, Olaf Holderer

TL;DR
This paper introduces time-dependent Gaussian-field models for analyzing inelastic neutron scattering data, enabling the extraction of dynamic real-space structures in disordered systems through novel correlation functions and modeling approaches.
Contribution
The paper develops new time-dependent Gaussian-field models and analytical expressions for neutron scattering, allowing detailed analysis of dynamic structures in complex multiphase systems.
Findings
Static large-scale structure of oil/water domains identified
Interfaces exhibit thermal fluctuations with ~6 nm amplitude
Models successfully analyze data across various contrasts and q, τ ranges
Abstract
Converting neutron scattering data to real-space time-dependent structures can only be achieved through suitable models, which is particularly challenging for geometrically disordered structures. We address this problem by introducing time-dependent clipped Gaussian field models. General expressions are derived for all space- and time-correlation functions relevant to coherent inelastic neutron scattering, for multiphase systems and arbitrary scattering contrasts. Various dynamic models are introduced that enable one to add time-dependence to any given spatial statistics, as captured e.g. by small-angle scattering. In a first approach, the Gaussian field is decomposed into localised waves that are allowed to fluctuate in time or to move, either ballistically or diffusively. In a second approach, a dispersion relation is used to make the spectral components of the field time-dependent.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
