Difference between revisions of "XCCA"

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==References==
 
==References==
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* Peter Wochner, Christian Gutt, Tina Autenrieth, Thomas Demmer, Volodymyr Bugaev, Alejandro Díaz Ortiz, Agnès Duri, Federico Zontone, Gerhard Grübel and Helmut Dosch [http://www.pnas.org/content/106/28/11511.abstract X-ray cross correlation analysis uncovers hidden local symmetries in disordered matter] ''Proceedings of the National Academy of Sciences'' '''2009''', 106 (28), 11511–11514. [http://dx.doi.org/10.1073/pnas.0905337106 doi: 10.1073/pnas.0905337106]
 
* M. Altarelli, R. P. Kurta, and I. A. Vartanyants [http://journals.aps.org/prb/abstract/10.1103/PhysRevB.82.104207 X-ray cross-correlation analysis and local symmetries of disordered systems: General theory] ''Phys. Rev. B.'' '''2010''', 82, 104207. [http://dx.doi.org/10.1103/PhysRevB.82.104207 doi: 10.1103/PhysRevB.82.104207]
 
* M. Altarelli, R. P. Kurta, and I. A. Vartanyants [http://journals.aps.org/prb/abstract/10.1103/PhysRevB.82.104207 X-ray cross-correlation analysis and local symmetries of disordered systems: General theory] ''Phys. Rev. B.'' '''2010''', 82, 104207. [http://dx.doi.org/10.1103/PhysRevB.82.104207 doi: 10.1103/PhysRevB.82.104207]
 
* R. P. Kurta, M. Altarelli, E. Weckert, and I. A. Vartanyants [http://journals.aps.org/prb/abstract/10.1103/PhysRevB.85.184204 X-ray cross-correlation analysis applied to disordered two-dimensional systems] ''Phys. Rev. B'' '''2012''', 85, 184204. [http://dx.doi.org/10.1103/PhysRevB.85.184204 doi: 10.1103/PhysRevB.85.184204]
 
* R. P. Kurta, M. Altarelli, E. Weckert, and I. A. Vartanyants [http://journals.aps.org/prb/abstract/10.1103/PhysRevB.85.184204 X-ray cross-correlation analysis applied to disordered two-dimensional systems] ''Phys. Rev. B'' '''2012''', 85, 184204. [http://dx.doi.org/10.1103/PhysRevB.85.184204 doi: 10.1103/PhysRevB.85.184204]

Revision as of 17:44, 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.

References

See Also