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Eigenvalues of the coherency matrix for exact backscattering

机译:相干矩阵的特征值对于精确的反向散射

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An important approach to interpretation of the Mueller matrix is based on the eigenvalues of the coherency matrix, given by the roots of a quartic characteristic equation. For the case of backscattering, one eigenvalue is zero from reciprocity arguments, and the characteristic equation reduces to a cubic. These two approaches (quartic and cubic) to calculation of the eigenvalues for exact backscattering are analytically considered and compared. As expected, the cubic approach is usually simpler, but for the special case of two zero eigenvalues, either approach reduces to the predictions of the simple quadratic characteristic equation. Either approach can be used for numerical calculation of the eigenvalues. The variation in different purity measures with the values of the Mueller matrix elements is presented. An experimental Mueller matrix for backscattering from a turbid chiral medium is investigated. (C) 2019 Optical Society of America
机译:解释穆勒基质的重要方法是基于一般特征方程的根部给出的一致性矩阵的特征值。 对于反向散射的情况,一个特征值从往复参数零是零,并且特征方程减少到立方体。 将这两种方法(四方和立方体)进行分析并进行比较来计算精确的反向散射的特征值。 正如预期的那样,立方方法通常更简单,但对于两个零特征值的特殊情况,任一方法减少了简单二次特征方程的预测。 任何一种方法都可用于特征值的数值计算。 呈现了不同纯度测量的变化,呈现了穆勒矩阵元素的值。 研究了一种用于从浑浊手性培养基反背散射的实验Mueller基质。 (c)2019年光学学会

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