Variant of the angular spectrum decomposition method for evaluating the beam shape coefficients: a comparison with the finite series technique

IF 1.9 3区 物理与天体物理 Q2 OPTICS
Siqi Tang , Jianqi Shen , Gérard Gouesbet , Leonardo A. Ambrosio
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引用次数: 0

Abstract

This paper develops a variant of the angular spectrum decomposition (VASD) method for evaluating the beam shape coefficients (BSCs) of light beams containing both forward and backward propagating/attenuating components. Unlike the traditional ASD method, which is limited to unidirectional beams and is based on one boundary condition, the VASD method requires two boundary conditions. Using the VASD method, the BSCs of the on-axis located scalar Gaussian beam are formulated in one dimensional integrals and are further transformed to finite series expressions. It is found that the VASD-BSCs are exactly consistent with the BSCs derived in the finite series (FS) method. Based on the consistency of the VASD and the FS methods, the unexpected far-field divergence and the near-field oscillations observed in the remodeled Gaussian beam can be explained. Besides, the VASD method offers an alternative way to deduce the finite series expressions of the BSCs, thus enabling efficient computation.
计算梁形系数的角谱分解法的一种变体:与有限级数法的比较
本文提出了一种角谱分解(VASD)方法的变体,用于计算包含前向和后向传播/衰减分量的光束的光束形状系数(BSCs)。与传统的ASD方法不同,ASD方法仅限于单向光束,并且基于一个边界条件,而VASD方法需要两个边界条件。利用VASD方法,将轴上定位标量高斯光束的BSCs用一维积分形式表示,并进一步转化为有限级数表达式。结果表明,VASD-BSCs与有限级数法得到的BSCs完全一致。基于VASD和FS方法的一致性,可以解释在重构高斯光束中观测到的意想不到的远场发散和近场振荡。此外,VASD方法提供了另一种方法来推导BSCs的有限级数表达式,从而实现了高效的计算。
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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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