Difference between revisions of "XCCA"

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(Created page with "'''X-ray cross-correlation analysis''' ('''XCCA''') is a suite of techniques for analyzing correlations within x-ray scattering datasets. In particular, analysis of an...")
 
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'''X-ray cross-correlation analysis''' ('''XCCA''') is a suite of techniques for analyzing correlations within [[x-ray]] [[scattering]] datasets. In particular, analysis of angular correlations within the 2D detector image can be used to isolate structural information that would be lost in a conventional circular-averaged 1D curve. Thus, even for nominally isotropic materials (powder-like sample), information about local symmetry (and thus packing motifs or unit cell) can be extracted from the data.
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'''X-ray cross-correlation analysis''' ('''XCCA''') is a suite of techniques for analyzing correlations within [[x-ray]] [[scattering]] datasets. In particular, analysis of angular correlations within the 2D detector image can be used to isolate structural information that would be lost in a conventional circular-averaged 1D curve. Thus, even for nominally isotropic materials (powder-like sample), information about local symmetry (and thus packing motifs or [[unit cell]]) can be extracted from the data.
  
 
==See Also==
 
==See Also==

Revision as of 15:21, 11 November 2016

X-ray cross-correlation analysis (XCCA) is a suite of techniques for analyzing correlations within x-ray scattering datasets. In particular, analysis of angular correlations within the 2D detector image can be used to isolate structural information that would be lost in a conventional circular-averaged 1D curve. Thus, even for nominally isotropic materials (powder-like sample), information about local symmetry (and thus packing motifs or unit cell) can be extracted from the data.

See Also