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使用像散混合波前传感器检测高阶波前误差。

Detecting higher-order wavefront errors with an astigmatic hybrid wavefront sensor.

作者信息

Barwick Shane

机构信息

Rocky Mound Engineering, 116 White Pine Court, Macon, Georgia 31216, USA.

出版信息

Opt Lett. 2009 Jun 1;34(11):1690-2. doi: 10.1364/ol.34.001690.

DOI:10.1364/ol.34.001690
PMID:19488150
Abstract

The reconstruction of wavefront errors from measurements over subapertures can be made more accurate if a fully characterized quadratic surface can be fitted to the local wavefront surface. An astigmatic hybrid wavefront sensor with added neural network postprocessing is shown to have this capability, provided that the focal image of each subaperture is sufficiently sampled. Furthermore, complete local curvature information is obtained with a single image without splitting beam power.

摘要

如果能将一个完全表征的二次曲面拟合到局部波前表面,那么通过子孔径测量来重建波前误差可以更准确。结果表明,一个添加了神经网络后处理的像散混合波前传感器具备这种能力,前提是每个子孔径的焦平面图像得到充分采样。此外,通过单个图像就能获得完整的局部曲率信息,而无需分光。

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