Skip to main content

Python Implementation of Rigorous Coupled Wave Analysis

Project description

Build Status Coverage Status Documentation StatusPyPI version

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, as seen below:

Bragg Mirror Plot

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.

Dependencies

Dependencies are comprehensively covered by the setup.py file, and the most recent set of dependencies can be found there. Currently, this requires numpy, scipy, pandas, matplotlib, and pyyaml. The documentation is built using Sphinx and hosted on readthedocs.io.

Acknowledgements / References

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.

[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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rcwa-0.1.97.tar.gz (24.7 kB view details)

Uploaded Source

Built Distribution

rcwa-0.1.97-py3-none-any.whl (4.4 MB view details)

Uploaded Python 3

File details

Details for the file rcwa-0.1.97.tar.gz.

File metadata

  • Download URL: rcwa-0.1.97.tar.gz
  • Upload date:
  • Size: 24.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rcwa-0.1.97.tar.gz
Algorithm Hash digest
SHA256 c87056c4ec5e84c2783441f0bb74bc2932d9b75f8930fa5ea1a09d327b3f1abe
MD5 868e7b4ffdf8e83951bdcec8a70567e1
BLAKE2b-256 74098fff8fa619913f628e4a7d42a710d5735d36e39df53d25aad506f857ab97

See more details on using hashes here.

File details

Details for the file rcwa-0.1.97-py3-none-any.whl.

File metadata

  • Download URL: rcwa-0.1.97-py3-none-any.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for rcwa-0.1.97-py3-none-any.whl
Algorithm Hash digest
SHA256 e35df500d46922a18809c152f836558b1885e9496be0365208c6e6a304381150
MD5 9016c56aab0640bab8c9266278527f63
BLAKE2b-256 504288404bb4f9e795f1eff7e77ed699de694e833d2f044dfffff088ad15fa54

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page