Efficient modeling of Bragg coherent x-ray nanobeam diffraction
- Argonne National Lab. (ANL), Argonne, IL (United States). Materials Science Division
- Argonne National Lab. (ANL), Argonne, IL (United States). Center for Nanoscale Materials
- Aix-Marseille Univ., Marseille (France). CNRS. Fresnel Inst.
- Columbia Univ., New York, NY (United States). Dept. of Applied Physics and Mathematics
- Thomas J. Watson Research Center, Yorktown Heights, NY (United States). IBM Corporation
X-ray Bragg diffraction experiments that utilize tightly focused coherent beams produce complicated Bragg diffraction patterns that depend on scattering geometry, characteristics of the sample, and properties of the x-ray focusing optic. In this paper, we use a Fourier-transform-based method of modeling the 2D intensity distribution of a Bragg peak and apply it to the case of thin films illuminated with a Fresnel zone plate in three different Bragg scattering geometries. Finally, the calculations agree well with experimental coherent diffraction patterns, demonstrating that nanodiffraction patterns can be modeled at nonsymmetric Bragg conditions with this approach—a capability critical for advancing nanofocused x-ray diffraction microscopy.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States); Aix-Marseille Univ., Marseille (France)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); National Agency for Research (ANR) (France)
- Contributing Organization:
- Columbia Univ., New York, NY (United States); Thomas J. Watson Research Center, Yorktown Heights, NY (United States)
- Grant/Contract Number:
- AC02-06CH11357; ANR-11-BS10-0005
- OSTI ID:
- 1356646
- Alternate ID(s):
- OSTI ID: 1222258
- Journal Information:
- Optics Letters, Vol. 40, Issue 14; ISSN 0146-9592
- Publisher:
- Optical Society of America (OSA)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
High-resolution three-dimensional structural microscopy by single-angle Bragg ptychography
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journal | November 2016 |
Imaging nanoscale lattice variations by machine learning of x-ray diffraction microscopy data
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journal | August 2016 |
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