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Review and accuracy comparison of various permittivity-averaging schemes for material discontinuities in the
Applied Optics
|September 6, 2018
Summary
The study compares averaging techniques for the finite-difference frequency-domain (FDFD) method. FDFD with anisotropic smoothing (AS) offers the highest accuracy, especially for in-plane field components, by better handling boundary conditions.
Area of Science:
- Computational electromagnetics
- Numerical methods for wave propagation
- Electromagnetic scattering
Background:
- The finite-difference frequency-domain (FDFD) method is crucial for solving electromagnetic problems.
- Material discontinuities pose accuracy challenges for standard FDFD.
- Averaging techniques are employed to mitigate these challenges.
Purpose of the Study:
- To review, test, and compare the accuracy of various averaging techniques for the FDFD method.
- To implement these techniques using Supercover Digital Differential Analyzer and modified Liang-Barsky algorithms.
- To evaluate performance for both transverse electric (TE) and transverse magnetic (TM) polarizations.
Main Methods:
- Numerical testing of FDFD with Gaussian blurring, volume-polarized effective permittivity, and anisotropic smoothing (AS).
- Implementation using Supercover Digital Differential Analyzer and modified Liang-Barsky algorithms.
- Comparison of accuracy for scattering by homogeneous cylinders (dielectric and metallic) against analytical solutions.
Main Results:
- FDFD with anisotropic smoothing (AS) demonstrates superior accuracy, particularly in satisfying boundary conditions.
- For high-index dielectrics and metals, standard FDFD performs well for parallel field components.
- FDFD (AS) consistently provides higher accuracy for in-plane field components.
Conclusions:
- FDFD (AS) is the most accurate averaging technique for FDFD, especially for complex material interfaces.
- The choice of averaging technique impacts accuracy depending on material properties and polarization.
- Efficient implementation using computer graphics algorithms enhances the applicability of these methods.
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