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Analysis of SEC-SAXS data via EFA deconvolution and Scatter

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T-REX: new software for advanced QEXAFS data analysis.

Jan Stötzel¹, Dirk Lützenkirchen-Hecht, Jan Dierk Grunwaldt

¹Fachbereich C-Physik, Universität Wuppertal, Wuppertal, Germany. j.stoetzel@uni-wuppertal.de

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Summary

A new software analyzes large X-ray absorption spectroscopy datasets, offering advanced tools for time-resolved EXAFS data. This approach enhances the study of dynamic processes in catalysis and thin film growth.

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Area of Science:

Materials Science
Spectroscopy
Data Analysis

Background:

Modern time-resolved X-ray absorption spectroscopy generates extensive datasets.
Analyzing these large files requires efficient and advanced computational methods.

Purpose of the Study:

To present a new analysis software for handling large time-resolved X-ray absorption spectroscopy data.
To introduce novel approaches for processing and analyzing Extended X-ray Absorption Fine Structure (EXAFS) spectra.

Main Methods:

Development of a user-friendly graphical interface for data analysis.
Implementation of advanced techniques including filtering, linear combination fitting, EXAFS fitting, principal component analysis, and phase-sensitive detection.
Application to large datasets where individual spectrum treatment is infeasible.

Main Results:

The software effectively manages and analyzes large volumes of time-resolved EXAFS data.
Demonstrated efficiency of various filtering and advanced analysis tools on real experimental data.
Successful application to in situ catalytic experiments and surface-sensitive studies of thin film growth.

Conclusions:

The new software provides a robust solution for analyzing complex time-resolved X-ray absorption spectroscopy data.
The presented methods enable more efficient and comprehensive studies of dynamic material processes.
This work facilitates deeper understanding in fields like catalysis and thin film characterization.