X-Ray Cross-Correlation Analysis of Disordered Ensembles of Particles: Potentials and Limitations. (16th May 2013)
- Record Type:
- Journal Article
- Title:
- X-Ray Cross-Correlation Analysis of Disordered Ensembles of Particles: Potentials and Limitations. (16th May 2013)
- Main Title:
- X-Ray Cross-Correlation Analysis of Disordered Ensembles of Particles: Potentials and Limitations
- Authors:
- Kurta, R. P.
Altarelli, M.
Vartanyants, I. A. - Other Names:
- Saldin Dilano K. Academic Editor.
- Abstract:
- Abstract : Angular X-ray cross-correlation analysis (XCCA) is an approach to study the structure of disordered systems using the results of X-ray scattering experiments. In this paper we summarize recent theoretical developments related to the Fourier analysis of the cross-correlation functions. Results of our simulations demonstrate the application of XCCA to two- and three-dimensional (2D and 3D) disordered ensembles of particles. We show that the structure of a single particle can be recovered using X-ray data collected from a 2D disordered system of identical particles. We also demonstrate that valuable structural information about the local structure of 3D systems, inaccessible from a standard small-angle X-ray scattering experiment, can be resolved using XCCA.
- Is Part Of:
- Advances in condensed matter physics. Volume 2013(2013)
- Journal:
- Advances in condensed matter physics
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-05-16
- Subjects:
- Condensed matter -- Periodicals
Condensed matter
Periodicals
530.41 - Journal URLs:
- http://bibpurl.oclc.org/web/50277 ↗
https://www.hindawi.com/journals/acmp/ ↗ - DOI:
- 10.1155/2013/959835 ↗
- Languages:
- English
- ISSNs:
- 1687-8124
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16991.xml