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Published on: August 12, 2013
Second-order systematic errors in Mueller matrix dual rotating compensator ellipsometry
Laurent Broch1, Aotmane En Naciri, Luc Johann
1Laboratoire de Physique des Milieux Denses, Universite Paul Verlaine-Metz, 1 Boulevard Arago CP 87811, F-57078 Metz Cedex 3, France. broch@univ-metz.fr
This study analyzes second-order systematic errors in dual rotating compensator Mueller matrix ellipsometry. Methods like zone averaging effectively reduce compensator-induced errors, while component calibration is crucial for accurate Mueller matrix measurements.
Area of Science:
- Optical Physics
- Materials Science
- Metrology
Background:
- Mueller matrix ellipsometry is a powerful technique for characterizing materials.
- Dual rotating compensator configurations offer advantages but are susceptible to systematic errors.
- Understanding and mitigating these errors is crucial for accurate measurements.
Purpose of the Study:
- To derive and analyze second-order systematic errors in dual rotating compensator Mueller matrix ellipsometry.
- To investigate the impact of azimuthal inaccuracies of optical components on measurements.
- To develop calibration procedures for improved accuracy.
Main Methods:
- Derivation of explicit second-order Mueller matrix errors from a general formalism.
- Analysis of errors caused by azimuthal inaccuracy of optical components.
- Development of calibration steps for polarizers and analyzers.
- Numerical simulations and experimental validation.
Main Results:
- Identified specific second-order systematic errors in Mueller matrix coefficients.
- Demonstrated that four-zone or two-zone averaging effectively cancels compensator-related errors.
- Showed that other systematic errors can only be canceled for specific Mueller matrix coefficients.
- Developed and validated a calibration procedure for polarizers and analyzers.
Conclusions:
- Second-order systematic errors in dual rotating compensator Mueller matrix ellipsometry can be systematically analyzed.
- Zone averaging methods are effective for specific error sources.
- Component calibration is essential for minimizing residual systematic errors.
- The presented methods improve the accuracy and reliability of Mueller matrix measurements.
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