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Film thickness measurement based on nonlinear phase analysis using a Linnik microscopic white-light spectral
Applied Optics
|May 2, 2018
Summary
This study introduces methods to improve thin film thickness measurement accuracy using white-light spectral interferometry. By correcting for effective thickness and double-objective lens errors, precise measurements are achieved.
Area of Science:
- Optical Metrology
- Thin Film Analysis
- Interferometry
Background:
- Accurate thin film thickness measurement is crucial in various scientific and industrial applications.
- White-light spectral interferometry (WLSI) is a powerful technique for non-contact metrology.
- Nonlinear phase components in WLSI signals can introduce significant errors in thickness measurements.
Purpose of the Study:
- To analyze and compensate for nonlinear phase components in WLSI signals for enhanced film thickness measurement.
- To develop methods for correcting errors arising from effective thickness and double-objective lenses.
- To improve the overall accuracy of thin film thickness determination using a Linnik microscopic interferometer.
Main Methods:
- Utilized a Linnik microscopic white-light spectral interferometer to capture spectral interferometric signals.
- Developed a wavelength-correction method to account for effective thickness influence.
- Proposed a novel method for extracting and removing nonlinear phase errors from double-objective lenses.
Main Results:
- Successfully identified and quantified nonlinear phase components including those from effective thickness, double-objective lens, and the thin film itself.
- Demonstrated that the proposed wavelength-correction method effectively removes nonlinear phase contributions from effective thickness.
- Showcased the effectiveness of the double-objective lens error extraction method in improving measurement precision.
Conclusions:
- The developed methods significantly enhance the accuracy of thin film thickness measurements using WLSI.
- Accurate film thickness determination is achievable by systematically removing identified nonlinear phase errors.
- This research provides a robust approach for precise metrology in thin film characterization.
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