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基于环形子孔径哈特曼-夏克梯度数据的全孔径波前重建算法与实验

Algorithm and experiment of whole-aperture wavefront reconstruction from annular subaperture Hartmann-Shack gradient data.

作者信息

Xu Hongyan, Xian Hao, Zhang Yudong

机构信息

The Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China.

出版信息

Opt Express. 2010 Jun 21;18(13):13431-43. doi: 10.1364/OE.18.013431.

Abstract

A new method is proposed for testing a rotationally symmetric aspheric surface with several annular subapertures based on a Hartmann-Shack sensor. In consideration of the limited sampling of Hartmann-Shack subapertures in the matching annular subaperture, a new algorithm for whole-aperture wavefront reconstruction from annular subaperture Hartmann-Shack gradient data is established. The algorithm separates the tip, tilt, and defocus misalignments for each annular subaperture by introducing annular Zernike polynomials. The performance of the algorithm is evaluated for different annular subaperture configurations, and the sensitivity of the algorithm to the detector error of the wavefront gradient is analyzed. The algorithm is verified by the experimental results.

摘要

提出了一种基于哈特曼-夏克传感器用多个环形子孔径测试旋转对称非球面的新方法。考虑到哈特曼-夏克子孔径在匹配环形子孔径中的采样有限,建立了一种从环形子孔径哈特曼-夏克梯度数据进行全孔径波前重建的新算法。该算法通过引入环形泽尼克多项式来分离每个环形子孔径的倾斜、离焦失调。针对不同的环形子孔径配置评估了该算法的性能,并分析了该算法对波前梯度探测器误差的灵敏度。实验结果验证了该算法。

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