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掺杂对随机分布团簇粒子缪勒矩阵的影响
引用本文:类成新,冯东太,吴振森.掺杂对随机分布团簇粒子缪勒矩阵的影响[J].物理学报,2011,60(11):115202-115202.
作者姓名:类成新  冯东太  吴振森
作者单位:1. 山东理工大学理学院,淄博 255049; 2. 西安电子科技大学理学院,西安 710071
基金项目:国家自然科学基金(批准号:60771038)资助的课题.
摘    要:文章分析了不同含量的杂质对随机分布团簇粒子缪勒矩阵的影响.利用Bruggeman有效介质理论得到了含有不同体积份额杂质的硅酸盐粒子的等效复折射率.采用离散偶极子近似方法对包含有不同化学成分的随机分布团簇粒子的缪勒矩阵进行了数值计算,给出了各个缪勒矩阵元素的散射角分布曲线,探讨了不同含量的杂质对随机分布团簇粒子缪勒矩阵的影响.研究表明,掺杂对随机分布团簇粒子的缪勒矩阵存在着不同程度的影响,并且此影响随着粒子尺度参数的变化而显著变化. 关键词: 团簇粒子 缪勒矩阵 Bruggeman有效介质理论 离散偶极子近似方法

关 键 词:团簇粒子  缪勒矩阵  Bruggeman有效介质理论  离散偶极子近似方法
收稿时间:2010-10-18
修稿时间:3/7/2011 12:00:00 AM

Influence of impurity on Mueller matrices of randomly distributed cluster agglomerates
Lei Cheng-Xin,Feng Dong-Tai and Wu Zhen-Sen.Influence of impurity on Mueller matrices of randomly distributed cluster agglomerates[J].Acta Physica Sinica,2011,60(11):115202-115202.
Authors:Lei Cheng-Xin  Feng Dong-Tai and Wu Zhen-Sen
Institution:School of Science, Shandong University of Technology, Zibo 255049, China;School of Science, Shandong University of Technology, Zibo 255049, China;School of Science, Xidian University, Xi'an 710071, China
Abstract:The effects of impurity on the Mueller matrices of randomly distributed cluster agglomerates are analyzed. The equivalent complex refractive indees of silicate particle containing different volume fractions of amorphous carbon are obtained by the Bruggeman effective medium theory. Mueller-matrix elements of randomly distributed cluster agglomerates containing various chemical compositions are calculated by the discrete dipole approximation (DDA) method, and the profiles of Mueller-matrix elements are presented. The influence of the impurity on the Mueller matrices of randomly distributed cluster agglomerates is discussed. The results show that the influence of impurity on the Mueller matrices of randomly distributed cluster agglomerates is quite large, and it varies with the size parameters of the randomly distributed cluster agglomerates.
Keywords:cluster agglomerates  Mueller matrices  Bruggeman effective medium theory  discrete dipole approximation method
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