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The effect of self-consistent potentials on EXAFS analysis
B Ravel1, M Newville2, J J Kas3
1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Journal of Synchrotron Radiation
|November 2, 2017
Summary
A new theory program for extended X-ray-absorption fine structure (EXAFS) spectroscopy was developed. This tool shows that self-consistent scattering potentials have minimal impact on EXAFS data analysis.
Area of Science:
- Materials Science
- Spectroscopy
- Computational Physics
Background:
- Extended X-ray-absorption fine structure (EXAFS) spectroscopy is a powerful technique for determining local atomic structure.
- Accurate theoretical standards are crucial for reliable EXAFS data analysis.
- Existing theoretical models may not fully account for self-consistent electronic potentials.
Purpose of the Study:
- To present a new theory program for EXAFS analysis, building upon the FEFF8 code.
- To investigate the influence of self-consistent scattering potentials on EXAFS data fitting.
- To provide an accessible tool for integrating theoretical calculations into EXAFS software.
Main Methods:
- Development of a new theory program with an application programming interface for EXAFS analysis.
- Systematic testing of theoretical fitting standards against measured EXAFS data.
- Comparison of EXAFS fitting results using potentials computed with and without self-consistency.
Main Results:
- The new theory program facilitates the integration of high-quality theoretical calculations into EXAFS analysis.
- Methodical testing demonstrates the impact of self-consistent scattering potentials.
- The study found that self-consistent potentials have a negligible effect on EXAFS analysis outcomes.
Conclusions:
- The developed theory program enhances the capabilities of EXAFS data analysis software.
- The findings indicate that the inclusion of self-consistent potentials in theoretical standards has minimal impact on structural determination via EXAFS.
- This research validates current approaches while providing a new computational tool for the EXAFS community.
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