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Improved background-fitting algorithms for ionization edges in electron energy-loss spectra.
1Physics Department, Faculty of Science, University of Alberta, Edmonton, Canada. regerton@ualberta.ca
Ultramicroscopy
|July 26, 2002
Summary
Improved background fitting procedures enhance electron energy-loss spectroscopy analysis, especially for weak signals from low elemental concentrations. These new methods offer better constraints for accurate elemental analysis.
Area of Science:
- Materials Science
- Spectroscopy
Background:
- Electron energy-loss spectroscopy (EELS) is crucial for elemental analysis.
- Accurate background fitting is essential for detecting weak ionization edges.
Purpose of the Study:
- To present improved procedures for fitting power-law backgrounds to ionization edges in EELS.
- To enhance the detection of weak edges from low elemental concentrations.
Main Methods:
- Developed algorithms for fitting power-law backgrounds to EELS data.
- Implemented algorithms as Calculator programs for Gatan EL/P software.
- Compared new methods with multiple-least-squares and spatial-difference techniques.
Main Results:
- Procedures provide constraints on background fitting above and below the ionization threshold.
- Demonstrated particular advantage for weak edges associated with low elemental concentrations.
- Algorithms are effective for improving EELS data analysis.
Conclusions:
- The improved procedures offer a valuable tool for EELS analysis.
- These methods enhance the sensitivity and accuracy of elemental quantification.
- The algorithms provide a practical solution for analyzing challenging EELS spectra.