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The objective of this repository is to show how I perform optimization of photonics structure. Some Jupyter Notebook contains tutorials and exemples with my codes and how I use them. The goal of this project is not to offer complete tools for optimization but to suggere some ways to perform it.

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Ellawin/NeverPyMoosh

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NeverPyMoosh

Description

The goal of this project is to provide tools to facilitate the optimization of multilayers photonic structures using Nevergrad (for the optimization part) and PyMoosh (for the photonic part).

About PyMoosh

PyMoosh is the python version of Moosh, an Octave/Matlab code meant as a swiss knife for the study of multilayered structures from an optical point of view.

PyMoosh is based on a scattering matrix formalism to solve Maxwell's equations in a multilayered structure. This makes PyMoosh unconditionally stable, allowing to explore even advanced properties of such multilayers, find poles and zeros of the scattering matrix (and thus guided modes)

The complete documentation of the Moosh program is available here : https://github.com/AnMoreau/PyMoosh

About Nevergrad

Nevergrad is a gradient-free optimization platform.

The complete documentation of Nevergrad is available in here : https://github.com/facebookresearch/nevergrad

Support

For any suggestions or demands, please send a mail to pauline.bennet.pro@gmail.com

About

The objective of this repository is to show how I perform optimization of photonics structure. Some Jupyter Notebook contains tutorials and exemples with my codes and how I use them. The goal of this project is not to offer complete tools for optimization but to suggere some ways to perform it.

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