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Modeling the interferometric radius measurement using Gaussian beam propagation

机译:使用高斯光束传播对干涉半径测量进行建模

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We model the interferometric radius measurement using Gaussian beam propagation to identify biases in the measurement due to using a simple geometric ray-trace model instead of the more complex Gaussian model. The radius measurement is based on using an interferometer to identify the test part's position when it is at two null locations, and the distance between the positions is an estimate of the part's radius. The null condition is observed when there is no difference in curvature between the reflected reference and the test wavefronts, and a Gaussian model will provide a first-order estimate of curvature changes due to wave propagation and therefore changes to the radius measurement. We show that the geometric ray assumption leads to radius biases (errors) that are a strong function of the test part radius and increase as the radius of the part decreases. We tested for a bias for both microscaled (<1 mm) and macroscaled parts. The bias is of the order of parts in 10~(5) for micro-optics with radii a small fraction of a millimeter and much smaller for macroscaled optics. The amount of bias depends on the interferometer configuration (numerical aperture, etc.), the nominal radius of the test part, and the distances in the interferometer.
机译:我们使用高斯光束传播对干涉半径测量进行建模,以识别由于使用简单的几何射线轨迹模型而不是更复杂的高斯模型而引起的测量偏差。半径测量是基于使用干涉仪在两个空白位置处确定测试零件的位置,并且位置之间的距离是零件半径的估计值。当反射参考波与测试波前之间的曲率没有差异时,将观察到零状态,并且高斯模型将提供由于波传播而引起的曲率变化的一阶估计,因此会改变半径测量值。我们表明,几何射线假设会导致半径偏差(误差),这是测试零件半径的强大函数,并且随着零件半径的减小而增加。我们测试了微型零件(<1毫米)和大型零件的偏差。对于微光学而言,其偏置量约为10〜(5)的部分,其半径小至毫米的一小部分,而对于宏观光学而言则小得多。偏置量取决于干涉仪的配置(数值孔径等),测试零件的标称半径以及干涉仪中的距离。

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