Model-independent particle species disentanglement by X-ray cross-correlation scattering

Mixtures of different particle species are often investigated using the angular averages of the scattered X-ray intensity. The number of species is deduced by singular value decomposition methods. The full disentanglement of the data into per-species contributions requires additional knowledge about...

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Bibliographic Details
Published in:Scientific reports 2017-04, Vol.7 (1), p.45618-45618, Article 45618
Main Authors: Pedrini, B., Menzel, A., Guzenko, V. A., David, C., Abela, R., Gutt, C.
Format: Article
Language:English
Subjects:
639/301/357
639/766/747
639/766/930
Computer applications
Data processing
Humanities and Social Sciences
multidisciplinary
Nanoparticles
Quarks
Science
Species
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Summary:Mixtures of different particle species are often investigated using the angular averages of the scattered X-ray intensity. The number of species is deduced by singular value decomposition methods. The full disentanglement of the data into per-species contributions requires additional knowledge about the system under investigation. We propose to exploit higher-order angular X-ray intensity correlations with a new computational protocol, which we apply to synchrotron data from two-species mixtures of two-dimensional static test nanoparticles. Without any other information besides the correlations, we demonstrate the assessment of particle species concentrations in the measured data sets, as well as the full ab initio reconstruction of both particle structures. The concept extends straightforwardly to more species and to the three-dimensional case, whereby the practical application will require the measurements to be performed at an X-ray free electron laser.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep45618