Numerical modelling for retrieval of the coating thickness variations from wavefront errors measurements.
Optics Express
|October 20, 2023
Summary
Thickness variations in multilayer coatings cause optical performance issues. This study introduces a model using wavefront error measurements to predict these variations and calculate optical properties across large components.
Area of Science:
- Optical engineering
- Materials science
- Thin film technology
Background:
- Multilayer coatings are crucial for large optical components.
- Thickness non-uniformities lead to spatial and chromatic variations in optical properties.
- Predicting optical performance is challenging without knowing thickness variations.
Purpose of the Study:
- To develop a model for retrieving thickness variations in multilayer coatings.
- To enable accurate prediction of optical properties over the component's aperture.
- To link wavefront error measurements to coating thickness non-uniformities.
Main Methods:
- Utilized wavefront error measurements as input.
- Developed a computational model to infer thickness variations.
- Validated the model's ability to predict optical properties.
Main Results:
- Successfully retrieved thickness variations from wavefront data.
- Demonstrated the model's capability to compute reflectance, transmittance, and wavefront errors.
- Showcased the ability to predict optical properties at various wavelengths, angles, and polarizations.
Conclusions:
- The developed model accurately retrieves multilayer coating thickness non-uniformities.
- This enables precise prediction of optical performance for large optical components.
- The method provides a powerful tool for optical designers and manufacturers.
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