All Projects → zhaonat → Rigorous-Coupled-Wave-Analysis

zhaonat / Rigorous-Coupled-Wave-Analysis

Licence: MIT license
modules for semi-analytic fourier series solutions for Maxwell's equations. Includes transfer-matrix-method, plane-wave-expansion-method, and rigorous coupled wave analysis (RCWA).

Programming Languages

Jupyter Notebook
11667 projects

Projects that are alternatives of or similar to Rigorous-Coupled-Wave-Analysis

Fourier-Transform
An implementation of the Fourier Transform using Python
Stars: ✭ 43 (-45.57%)
Mutual labels:  fourier-decomposition
fdtd3d
fdtd3d is an open source 1D, 2D, 3D FDTD electromagnetics solver with MPI, OpenMP and CUDA support for x86, arm, arm64 architectures
Stars: ✭ 77 (-2.53%)
Mutual labels:  maxwell-equations-solver

Python Rigorous-Coupled-Wave-Analysis PACKAGE

A collection of extremely inter-related semi-analytic fourier series solutions for Maxwell's equations written in python. This package actually contains three different methods:

  1. TMM: classical transfer matrix method applicable for analyzing the propagation of light through uniform, finite thickness layers
  2. Plane Wave Expansion Method: essentially solves Maxwell's equations in k-space.
  3. RCWA: a synthesis of TMM and PWEM to analyze the transmission of light through layered structures with periodic patterning

The organization of the package is centered around modules which can run a simulation for each of the three methods, given the correct inputs from the user. The coding paradigm is most similarly to procedural programming. There are basically no objects anywhere in the code (in my opinion objects can quickly bury lower level functionalities that researchers might want to quickly access,test, and/or modify).

The structure of much of the code, particularly the RCWA is based on EMPossible (formerly EMLab) notes (https://empossible.net/academics/emp5337/). These notes provide a good reference.

Prerequisites and Installation

Make sure you have a functional version of python 3 with numpy, scipy, and matplotlib. (Python 3 is required because we use the @ symbol for matrix multiplication) Simply clone the package into your local directory and you should be ready to go.

USAGE

Right now, the package is partitioned by the type of numerical method used. Examples for each method are in the folder "method_name"_examples. These examples should give you a sense of how to use the simulation functions

Examples

We show a few exemplary examples from each method to illustrate its functionality

First TMM

TMM is usually the 'intellectual' precursor to RCWA. It assumes different layers but each layer has no structure (could be anisotropic however) A simple demonstration of TMM can be done by reproducing the spectrum of a Bragg grating. Alt Text

Or the Drude model Alt Text

PWEM

Plane wave expansion method is simply the solution of Maxwell's equations in Fourier space.

We benchmark the code using a photonic circle.

Here, we demonstrate several reconstructed modes in real space below Alt_Text

Transitioning to RCWA

RCWA is a synthesis of TMM and PWEM in that it targets layered structures whereby each layer contains some sort of periodic pattern In this package, we implement RCWA to handle layers with periodicity along one direction (perpendicular to the propagation direction) or both.

Alt Text

References https://www.osapublishing.org/josa/abstract.cfm?uri=josa-71-7-811

Authors

Nathan Zhao

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].