Electrostatic boundary problems and T-matrix for the dielectric half-spheroid

IF 1.9 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-11-28 DOI:10.1016/j.jqsrt.2024.109289
Matt Majic , Johan C.-E. Stén
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Abstract

We solve the electrostatic boundary problems of a dielectric or conducting hemispheroid (half-spheroid) under arbitrary excitation. The solutions are obtained by expanding the potentials as series of spheroidal harmonics, and integrating over the boundary to obtain matrix equations which can be used to solve for the coefficients. The solutions are used to derive the capacity, polarizability and spatial fields. We simplify the results to that for a hemisphere, which for specific excitation fields agrees with the literature. We make a link to the T-matrix method, and present analytic expressions for the T-matrix and auxiliary Q and P matrices in the electrostatic limit. We show that the standard T-matrix approach of the extended boundary condition method (EBCM) cannot be used for this geometry, and that the P and Q-matrices do not match the EBCM form.
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介电半球体的静电边界问题与t矩阵
我们解决了在任意激励下介电或导电半球(半球体)的静电边界问题。通过将势展开为一系列球面谐波,并在边界上积分得到可用于求解系数的矩阵方程,从而得到解。利用这些解推导出了容量、极化率和空间场。我们将结果简化为一个半球的结果,对于特定的激励场,这与文献一致。结合t矩阵法,给出了静电极限下t矩阵和辅助Q、P矩阵的解析表达式。我们证明了扩展边界条件方法(EBCM)的标准t矩阵方法不能用于该几何结构,并且P和q矩阵不匹配EBCM形式。
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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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