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CONTIN XPCS: Software for Inverse Transform Analysis of X-Ray Photon Correlation Spectroscopy Dynamics
Ross N Andrews1, Suresh Narayanan1, Fan Zhang2
1Advanced Photon Source, Argonne National Laboratory, Argonne, IL 60559, USA.
Journal of Applied Crystallography
|June 8, 2018
Summary
X-ray photon correlation spectroscopy (XPCS) analysis now includes heterogeneous dynamics, extending classic tools from dynamic light scattering (DLS). This advancement reveals more information than traditional methods, enhancing the study of complex material dynamics.
Area of Science:
- Condensed Matter Physics
- Materials Science
- Soft Matter Physics
Background:
- Coherent scattering techniques like X-ray photon correlation spectroscopy (XPCS) and dynamic light scattering (DLS) probe material dynamics.
- XPCS offers broader material applicability compared to DLS.
- Heterogeneous dynamics are prevalent in many materials studied by these techniques.
Purpose of the Study:
- To extend established dynamic light scattering (DLS) analysis tools for heterogeneous dynamics to X-ray photon correlation spectroscopy (XPCS).
- To reveal dynamics information obscured by conventional fitting methods in XPCS.
- To introduce a software implementation for inverse transform analysis of XPCS data.
Main Methods:
- Adaptation of classic analysis tools for heterogeneous dynamics from DLS to XPCS.
- Application of inverse transform analysis to XPCS data.
- Development and implementation of the CONTIN XPCS software.
Main Results:
- Demonstrated successful extension of heterogeneous dynamics analysis from DLS to XPCS.
- Identified additional dynamic information not captured by traditional Kohlrausch exponential fitting.
- CONTIN XPCS software effectively analyzes equilibrium XPCS measurements with heterogeneous dynamics.
Conclusions:
- Heterogeneous dynamics analysis tools are transferable from DLS to XPCS.
- XPCS, when analyzed with advanced methods like CONTIN XPCS, provides richer insights into complex material dynamics.
- The developed CONTIN XPCS software facilitates a more comprehensive understanding of equilibrium dynamics in diverse materials.
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