rcwa 0.1.93

Python Implementation of Rigorous Coupled Wave Analysis

Getting Started

Installation

The recommended way to install this software is with pip:

pip install rcwa

And that's it!

Hello World Program

To run a simple example, run:

python -m rcwa.examples.bragg_mirror

This should run an example with a 10-layer bragg mirror (also known as a dielectric mirror), which can have very high reflectance near its design wavelength, and output the reflectance as a function of wavelength.

Features

• Implements 1D Transfer Matrix Method for homogenous layers
• Implements full rectangular 2D RCWA for periodic layers
• Huge material database for n/k values in optical range built-in based on refractiveindex.info, including metals, plastics, glass, and ceramics
• Compute reflection and transmission spectra at arbitrary incidence and polarization
• Compute spectroscopic ellipsometry curves
• Exactly solves Maxwell's Equations for arbitrary layer stacks of any thickness
• Compute reflected power, transmitted power, and S-parameters
• Easy to use class-based syntax
• Large, fast-to-run test suite
• Extremely fast narrowband, rigorously correct simulations well suited for resonant devices

Example Uses

• Compute reflected and transmitted power from a thin film stack
• Determine resonant frequency of a VCSEL
• Determine reflectance of a bragg mirror, on or off-axis
• Find diffraction efficiencies for a 1D or 2D diffraction grating
• Compute reflected power from a metallic mirror

Documentation

This project is documented on Read The Docs. For additional information, including downloading examples, you can view this project on github.

Author: Jordan Edmunds, UC Irvine Alumnus, UC Berkeley Ph.D. Student

Date Started: 2020/01/05

License

This project is distributed under the MIT license.

References

[1] Rakić, Aleksandar D., Aleksandra B. Djurišić, Jovan M. Elazar, and Marian L. Majewski. "Optical properties of metallic films for vertical-cavity optoelectronic devices." Applied optics 37, no. 22 (1998): 5271-5283.

Acknowledgements

This work is based primarily on a set of lectures and associated course material by Professor Raymond Rumpf at the University of Texas, El Paso.