X-ray cross-correlation analysis applied to disordered two-dimensional systems
R.P. Kurta, M. Altarelli, E. Weckert, and I.A. Vartanyants

TL;DR
This paper validates the use of angular x-ray cross-correlation analysis (XCCA) for studying disordered 2D systems through simulations, revealing how structural information depends on disorder and coherence, and demonstrating its potential in analyzing complex materials.
Contribution
The paper provides simulation-based validation of XCCA for disordered 2D systems, exploring the effects of disorder density, coherence, and averaging on structural analysis.
Findings
XCCA relates Fourier components of CCFs to system correlations
Structural information depends on disorder density and cluster orientation
Partial coherence affects the accuracy of XCCA results
Abstract
Angular x-ray cross-correlation analysis (XCCA) is an approach to study the structure of disordered systems using the results of coherent x-ray scattering experiments. Here, we present the results of simulations that validate our theoretical findings for XCCA obtained in a previous paper [M. Altarelli et al., Phys. Rev. B 82, 104207 (2010)]. We consider as a model two-dimensional (2D) disordered systems composed of non-interacting colloidal clusters with fivefold symmetry and with orientational and positional disorder. We simulate a coherent x-ray scattering in the far field from such disordered systems and perform the angular cross-correlation analysis of calculated diffraction data. The results of our simulations show the relation between the Fourier series representation of the cross-correlation functions (CCFs) and different types of correlations in disordered systems. The…
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