Aspnes D E
Department of Physics, North Carolina State University, Raleigh, North Carolina 27695-8202, USA.
J Opt Soc Am A Opt Image Sci Vis. 2004 Mar;21(3):403-10. doi: 10.1364/josaa.21.000403.
I investigate the dependence of shot-noise-limited uncertainties of the ellipsometric parameters psi, and delta for the rotating-analyzer ellipsometer (RAE) and the rotating-compensator ellipsometer (RCE) of the polarizer-sample-compensator-analyzer type. The development is general and takes into account correlations among the Fourier coefficients of the transmitted intensity, in particular the average intensity, which is necessarily correlated with all other coefficients through normalization. The results are expressed in terms of the traditional uncertainties delta(psi) and delta(delta) of the ellipsometric parameters psi and delta, respectively, although a more appropriate measure of uncertainty is the differential area 2delta(psi) x sin psi(delta)delta on the unit-radius Poincaré sphere. Numerical results for broadband operation from 1.5 to 6.0 eV with a Si sample show that the optimum measurement conditions for both configurations occur when the intensity of light reflected from the sample is approximately balanced between the TE and the TM modes, and, for the RCE, when the analyzer azimuth is essentially equal to that of the polarizer. Under typical broadband operating conditions in which components cannot be optimized on a wavelength-by-wavelength basis, the RCE is better at determining delta, whereas the RAE is better at determining psi. The approach is easily generalized to other configurations and other types of experimental uncertainty, both random and systematic.
我研究了偏振器 - 样品 - 补偿器 - 分析器类型的旋转分析椭圆偏振仪(RAE)和旋转补偿椭圆偏振仪(RCE)中,椭圆偏振参数ψ和δ的散粒噪声限制不确定性的依赖性。该推导具有普遍性,并考虑了透射强度的傅里叶系数之间的相关性,特别是平均强度,它通过归一化必然与所有其他系数相关。结果分别以椭圆偏振参数ψ和δ的传统不确定性δ(ψ)和δ(δ)表示,尽管更合适的不确定性度量是单位半径庞加莱球面上的微分面积2δ(ψ)×sinψ(δ)δ。对硅样品在1.5至6.0 eV宽带操作的数值结果表明,两种配置的最佳测量条件是当样品反射光的强度在TE和TM模式之间大致平衡时,对于RCE,当分析器方位角基本等于偏振器方位角时。在典型的宽带操作条件下,组件不能逐波长优化,RCE在确定δ方面更好,而RAE在确定ψ方面更好。该方法很容易推广到其他配置以及其他类型的实验不确定性,包括随机和系统不确定性。