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Applicability of the effective medium approximation in the ellipsometry of randomly micro-rough solid surfaces
Optics Express
|August 19, 2018
Summary
The effective medium approximation (EMA) model in spectroscopic ellipsometry (SE) has limitations for accurately determining optical constants and surface roughness. This study reveals errors in EMA due to neglecting lateral surface irregularities, impacting precision.
Area of Science:
- Materials Science
- Optical Physics
- Surface Science
Background:
- The effective medium approximation (EMA) is commonly used in spectroscopic ellipsometry (SE) to model surface roughness.
- EMA is applied to determine optical constants and estimate rough layer thickness from SE data.
- Current methods often assume root mean square (rms) roughness from atomic force microscopy (AFM) for EMA calculations.
Purpose of the Study:
- To theoretically investigate the error in optical constant estimation using the EMA model for various surface morphologies and materials.
- To analyze the deviation between EMA-derived roughness and AFM-measured rms roughness.
- To establish correlations between EMA roughness and surface morphological parameters.
Main Methods:
- Theoretical investigation of the EMA model's performance in spectroscopic ellipsometry.
- Analysis of surface roughness effects, considering both height and lateral irregularities.
- Comparison of EMA-derived roughness with atomic force microscopy (AFM) measurements.
Main Results:
- The EMA model's accuracy in determining optical constants is limited by its neglect of lateral surface irregularities, hindering high-precision results.
- EMA-derived roughness generally deviates from AFM-measured rms roughness.
- Correlated relationships between EMA roughness and surface morphological parameters were identified, showing material-dependent coefficients.
Conclusions:
- The EMA model's limitations in accounting for lateral surface features affect the accuracy of optical constant inversion and roughness estimation in SE.
- Understanding the deviations between EMA roughness and actual surface morphology is crucial for reliable SE data interpretation.
- This research provides insights for improved application and understanding of the EMA model in spectroscopic ellipsometry.
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