Abstract
The development of magnetic photonic crystals (MPC) has been a rapidly evolving research area since the late 1990s. Magneto-optic (MO) materials and the techniques for their characterization have also continually undergone functional and property-related improvements. MPC optimization is a feature-rich Windows software application designed to enable researchers to analyze the optical and magneto-optical spectral properties of multilayers containing gyrotropic constituents. We report on a set of computational algorithms which aim to optimize the design and the optical or magneto-optical spectral analysis of 1D MPC, together with a Windows software implementation. Relevant material property datasets (e.g., the spectral dispersion data for the refractive index, absorption, and gyration) of several important optical and MO materials are included, enabling easy reproduction of the previously published results from the field of MPC-based Faraday rotator development, and an effective demonstration-quality introduction of future users to the multiple features of this package. We also report on the methods and algorithms used to obtain the absorption coefficient spectral dispersion datasets for new materials, where the film thickness, transmission spectrum, and refractive index dispersion function are known.
Highlights
Introduction and BackgroundIn recent years, there has been some resurgence in the research interest dedicated to engineering and characterization of magneto-optic iron garnet materials [1,2,3,4]
We report on the methods and algorithms used to obtain the absorption coefficient spectral dispersion datasets for new materials, where the film thickness, transmission spectrum, and refractive index dispersion function are known
There has been some resurgence in the research interest dedicated to engineering and characterization of magneto-optic iron garnet materials [1,2,3,4]
Summary
There has been some resurgence in the research interest dedicated to engineering and characterization of magneto-optic iron garnet materials [1,2,3,4]. The MPC based on quarter-wavelength thin-film stacks, which are sequences of magnetic and nonmagnetic layers with multiple embedded phase shifts (termed defects, or missing layers), have been shown to possess a significant potential for practical implementation of integrated optical isolators This is due to the necessity of approaching Faraday rotations as large as 45◦ , which has been shown to be attainable, due to the resonant enhancement of Faraday rotation observed in such structures. The main aim of this present work has been to provide a set of computational tools and algorithms for use by the developers of MPC and other nanostructured material systems (e.g., thin-films and multilayers containing MO materials) These tools will enable both the characterization of functional material layers and the application-specific design of Faraday rotators. Examples of important MPC-based Faraday rotator design types are reviewed, focusing on the ways that strong peaks of Faraday rotation are engineered to spectrally coincide with the peaks of transmission, while paying special attention to the role of limiting factors such as absorption
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