PyMoosh: a comprehensive numerical toolkit for computing the optical properties of multilayered structures

Author:

Langevin Denis,Bennet PaulineORCID,Khaireh-Walieh Abdourahman1,Wiecha Peter1ORCID,Teytaud Olivier2,Moreau AntoineORCID

Affiliation:

1. LAAS

2. Meta AI Research

Abstract

We present PyMoosh, a Python-based simulation library designed to provide a comprehensive set of numerical tools allowing the computation of essentially all optical characteristics of multilayered structures, ranging from reflectance and transmittance to guided modes and photovoltaic efficiency. PyMoosh is designed not just for research purposes, but also for use cases in education. To this end, we have invested significant effort in ensuring the user-friendliness and simplicity of the interface. PyMoosh has been developed in line with the principles of open science and considering the fact that multilayered structures are increasingly being used as a testing ground for optimization and deep learning approaches. We provide in this paper the theoretical basis at the core of PyMoosh, an overview of its capabilities, as well as a comparison between the different numerical methods implemented in terms of speed and stability. We are convinced such a versatile tool will be useful for the community in many ways.

Funder

Agence Nationale de la Recherche

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics,Statistical and Nonlinear Physics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Illustrated tutorial on global optimization in nanophotonics;Journal of the Optical Society of America B;2024-01-29

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