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Tolerance Analysis of Optical Systems Containing Sampling Devices

机译:包含采样设备的光学系统的公差分析

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Numerous optical systems, such as telescopes, adaptive optics systems, and aberrometers, are equipped with wavefront sensors, which often use sampling devices measuring the slope of the wavefront at discrete points across the pupil (e.g. Shack-Hartmann sensors). The accuracy of the sampled output signal is always affected by the fabrication and alignment tolerances of the wavefront sensing optical system. Typically, it is a requirement to express the measurement error in terms of input wavefront, so the optical ray intercept error has to be converted into wavefront measurement error. This conversion cannot be obtained directly from a conventional tolerance analysis because of the wavefront breaking by the sampling device. The tolerancing method proposed in this paper solves the problem of converting conventional merit function degradation into input wavefront measurement error. The proposed method consists of two parts. First, a Monte Carlo tolerance analysis based on a specific merit function is performed, and a 90% border system is selected. Then, an optimization is applied to the 90% border system, by varying a "dummy" phase surface introduced at the entrance pupil of the system. A concrete example is presented.
机译:诸如望远镜,自适应光学系统和像差仪之类的许多光学系统都配备有波前传感器,这些传感器通常使用采样设备测量跨瞳孔的离散点处的波前斜率(例如Shack-Hartmann传感器)。采样输出信号的精度始终受波前传感光学系统的制造和对准公差影响。通常,需要根据输入波前来表达测量误差,因此必须将光线拦截误差转换为波前测量误差。由于采样设备的波前破裂,无法直接从常规公差分析中获得此转换。本文提出的容差方法解决了将传统的优值函数退化转换为输入波前测量误差的问题。所提出的方法包括两部分。首先,执行基于特定优点函数的蒙特卡罗公差分析,并选择90%边界系统。然后,通过改变在系统的入射光瞳处引入的“虚拟”相表面,将优化应用于90%边界系统。给出一个具体的例子。

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