互惠和非互惠超材料的穆勒矩阵对称性

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-09-10 DOI:10.1016/j.jqsrt.2024.109190
Chiyu Yang , Wenshan Cai , Zhuomin M. Zhang
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引用次数: 0

摘要

穆勒矩阵将入射光和出射光的斯托克斯参数联系起来,提供了有关介质辐射特性和其他特征的有用信息。要确定 4 × 4 穆勒矩阵的所有元素,需要进行完整的偏振测量,而这往往具有挑战性。另一方面,部分偏振测量法在生成和/或分析偏振态时使用较简单的光学元件,因此只能测量穆勒矩阵的一个子集。不过,在特定的对称条件下,它可以确定完整的穆勒矩阵。本研究开发了一种对称性分类方案,用于对材料的穆勒矩阵进行分类。研究表明,穆勒矩阵的对称性可直接从样品光学特性的对称性信息中确定。对各种测量场景、结构和材料(有无洛伦兹互易性)进行了数值计算,以验证该方法。这项研究为简化椭偏测量提供了对穆勒矩阵对称性的深刻理解和实用指导。
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Mueller matrix symmetry for both reciprocal and nonreciprocal metamaterials

Mueller matrices relate the Stokes parameters of the incident and emerging light, providing useful information about the radiative properties and other characteristics of the medium. Determining all elements of the 4 × 4 Mueller matrix requires complete polarimetry, which is often challenging to perform. Partial polarimetry, on the other hand, uses simpler optical components in generating and/or analyzing states of polarization, thereby measuring only a subset of the Mueller matrix. However, it may determine the full Mueller matrix under specific symmetry conditions. The present study develops a symmetry classification scheme to categorize the Mueller matrix of materials. It is shown that the symmetry of the Mueller matrix is directly determined from the information of symmetries of the sample's optical properties. Numerical calculations of various measurement scenarios, structures, and materials (with or without Lorentz reciprocity) are carried out to validate the methodology. This study offers an insightful understanding of Mueller matrix symmetry and practical guidance for simplified ellipsometry measurements.

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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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