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

Denis Langevin, Paul M. Bennet, Abdourahman Khaireh-Walieh, Peter Wiecha, O. Teytaud, A. Moreau
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Abstract

We present PyMoosh, a Python-based simulation library designed to provide a comprehensive set of numerical tools allowing to compute 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 user-friendliness and simplicity of the interface. PyMoosh has been developed in line with the principles of Open Science and taking into account 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.
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PyMoosh:用于计算多层结构光学特性的综合数值工具包
我们介绍的 PyMoosh 是一个基于 Python 的仿真库,旨在提供一套全面的数值工具,用于计算多层结构的所有光学特性,包括反射率、透射率、导向模式和光电效率等。PyMoosh 不仅用于研究目的,也可用于教育领域。为此,我们投入了大量精力,以确保界面的用户友好性和简洁性。PyMoosh 的开发遵循开放科学原则,并考虑到多层结构正越来越多地被用作优化和深度学习方法的试验场这一事实。我们在本文中介绍了 PyMoosh 核心的理论基础、功能概述以及不同数值方法在速度和稳定性方面的比较。我们相信,这样一个多功能工具将在许多方面为社区带来帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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