反演模拟与实验光散射数据以表征二维随机粗糙金属表面
Inversion of simulated and experimental light scattering data for characterization of two-dimensional randomly rough metal surfaces
AI总结：
本文提出基于二阶相位微扰理论的光散射数据反演方法，用于重建二维随机粗糙金属表面的自相关函数和均方根粗糙度，并通过银、金表面的模拟与实验数据验证其准确性和高效性。
摘要：
本文提出一种方法，用于反演模拟和实验得到的p偏振与s偏振面内共偏振光散射数据，以获得二维随机粗糙金属表面的归一化表面高度自相关函数和均方根粗糙度。该方法基于一个表达式，该表达式由二阶相位微扰理论得到，描述粗糙表面漫散射光对平均微分反射系数的贡献。通过使用若干组计算机生成的、由高斯表面高度相关函数定义的粗糙银表面散射数据，对该反演方案进行了验证。结果表明，在p偏振和s偏振入射光照射弱粗糙表面时，该方法获得的重建结果相当准确；即使在表面等离激元极化激元多重散射对输入数据的贡献不可忽略的情况下，结果同样准确。最后，将该反演方案应用于已表征的二维随机粗糙金表面所获得的实验散射数据，由此得到的结果与直接分析表面形貌所得结果吻合良好。这些结果证明了本文提出的计算高效反演方案的吸引力。
英文摘要：
An approach is presented for the inversion of simulated and experimental in-plane, co-polarized light scattering data in p and s polarization to obtain the normalized surface-height autocorrelation function and the rms-roughness of a two-dimensional randomly rough metal surface. The approach is based on an expression, obtained on the basis of second-order phase perturbation theory, for the contribution to the mean differential reflection coefficient from the light scattered diffusely by the rough surface. The inversion scheme is validated by using several sets of computer generated scattering data for rough silver surfaces defined by Gaussian surface height correlation functions. The reconstructions obtained by this approach are found to be rather accurate for weakly rough surfaces illuminated by p- and s-polarized incident light; this is also true in cases where the contributions to the input data from multiple scattering of surface plasmon polaritons is not insignificant. Finally, the inversion scheme is applied to experimental scattering data obtained for characterized two-dimensional randomly rough gold surfaces, and the results obtained in this way, compare favorably to what is obtained by directly analyzing the surface morphology. Such results testify to the attractiveness of the computationally efficient inversion scheme that we propose.
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