Metadata-Version: 2.1
Name: rcwa
Version: 0.1.54
Summary: Python Implementation of Rigorous Coupled Wave Analysis
Home-page: https://github.com/edmundsj/RCWA
Author: Jordan Edmunds
Author-email: jordan.e@berkeley.edu
License: MIT
Description: [![Build Status](https://travis-ci.com/edmundsj/RCWA.svg?branch=master)](https://travis-ci.com/edmundsj/RCWA) [![Coverage Status](https://coveralls.io/repos/github/edmundsj/RCWA/badge.svg?branch=master)](https://coveralls.io/github/edmundsj/RCWA?branch=master) [![Documentation Status](https://readthedocs.org/projects/rcwa/badge/?version=latest)](https://rcwa.readthedocs.io/en/latest/?badge=latest)[![PyPI version](https://badge.fury.io/py/rcwa.svg)](https://badge.fury.io/py/rcwa)
        
        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](https://en.wikipedia.org/wiki/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
        - Arbitrary incident wave polarization (circular, linear, elliptical)
        - Arbitrary incident wave angle of incidence
        - 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
        
        Documentation
        ================
        This  project is documented on [Read The Docs](https://rcwa.readthedocs.io/en/latest/). For additional information, including downloading examples, you can view this project on [github](https://github.com/edmundsj/RCWA). 
        
        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](https://mit-license.org/).
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
