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Non-spherical particle size retrieval by angular resolved elastic light scattering using the T-matrix method

机译:使用T型基质法通过角度分辨弹性光散射检索非球形粒度

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摘要

In this study, angular resolved elastic light scattering signals are employed to retrieve the spheroidal and cylindrical particle size distribution (PSD) using the T-matrix method. The interesting features of this simulation are that, to retrieve the size distribution of the particles, simulation does not need any initial information about the number density of the particles per unit volume. Moreover, both cylindrical and spheroidal PSD can be retrieved by using this same simulation. A probability density function-based ant colony optimization (PDF-ACO) algorithm is used to solve the inverse problem to retrieve the target parameters. For the direct problem, intensity of the scattering particles is measured at seven different angular positions and the ratio of the sum of this scattering intensity to the scattering intensity at a reference angle is used to fit the objective function of the inverse problem. In regards to retrieving parameters, the robustness of the PDF-ACO algorithm shows good agreement with the true parameters. Even with 5% measurement noise, the retrieval accuracy can be achieved within the tolerable error limit of less than 10%.
机译:在该研究中,采用角度分辨的弹性光散射信号使用T矩阵法检索球形和圆柱形粒度分布(PSD)。该模拟的有趣特征是,为了检索粒子的尺寸分布,模拟不需要关于每单位体积的粒子的数量密度的任何初始信息。此外,可以通过使用相同的模拟来检索圆柱形和球形PSD。基于概率的密度函数基蚁群优化(PDF-ACO)算法用于解决逆问题以检索目标参数。对于直接问题,散射颗粒的强度在七个不同的角位置测量,并且该散射强度的总和与参考角度的散射强度的比率用于符合逆问题的目标函数。关于检索参数,PDF-ACO算法的鲁棒性显示出与真正参数的良好协议。即使测量噪声5%,也可以在可容忍的误差限制范围内实现检索精度。

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