Paper
16 May 2001 Generalized spectral index approach for the analysis of 3D structures
Stephen C. Greedy, Phillip Sewell, Trevor Mark Benson
Author Affiliations +
Abstract
There is a clear demand in optoelectronic design for analysis techniques that provide accurate results with minimal computational effort. The spectral Index Method (SIM) is well established as a very accurate yet rapid semi- analytical technique for determining the modal properties of air-clad optical rib waveguides. The present work generalizes the spectral index approach to the analysis of propagation in fully 3D rib waveguide problems. The method is founded upon three practically observed features: fields are polarized, there is little penetration into the air cladding and continuous reflections are very weak with strong reflections occurring only at discrete boundaries. The new propagation algorithm retains the simplicity and computational advantages of the SIM. A full theoretical development of the methods will be presented, along with a discussion of the implementation and application to a typical practical problem illustrative of including taper-based spot-size converters. Comparisons with direct numerical methods show the new technique to be sufficiently accurate for the design of many optoelectronic components. Calculation times for the new method are significantly lower than those for purely numerical methods, making it well suited for use within an iterative design environment.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen C. Greedy, Phillip Sewell, and Trevor Mark Benson "Generalized spectral index approach for the analysis of 3D structures", Proc. SPIE 4290, Optoelectronic Integrated Circuits and Packaging V, (16 May 2001); https://doi.org/10.1117/12.426904
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Cited by 2 scholarly publications.
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KEYWORDS
Waveguides

Wave propagation

Numerical analysis

Optoelectronics

Commercial off the shelf technology

Fourier transforms

Refractive index

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