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利用夏克-哈特曼波前传感器测量结果进行强湍流的迭代波前重建

Iterative wavefront reconstruction for strong turbulence using Shack-Hartmann wavefront sensor measurements.

作者信息

Kim Jae Jun, Fernandez Bautista, Agrawal Brij

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2021 Mar 1;38(3):456-464. doi: 10.1364/JOSAA.413934.

Abstract

An iterative wavefront reconstruction method using Shack-Hartmann wavefront sensor (SHWFS) measurements is presented in this paper. A new cost function for the wavefront reconstruction problem is derived and the solution is obtained iteratively using the gradient descent method. The proposed method aims to effectively handle the scintillated SHWFS measurements and to provide simpler and accurate ways to achieve branch-point-tolerant wavefront reconstruction suitable for adaptive optics compensation of strong turbulence. Simulated iterative wavefront reconstruction results show the effectiveness of the proposed method. A laboratory optical testbed is also presented to show the experimental implementation of the proposed method.

摘要

本文提出了一种利用夏克-哈特曼波前传感器(SHWFS)测量值进行迭代波前重建的方法。推导了用于波前重建问题的新代价函数,并使用梯度下降法迭代求解。该方法旨在有效处理闪烁的SHWFS测量值,并提供更简单、准确的方法来实现适用于强湍流自适应光学补偿的耐分支点波前重建。模拟的迭代波前重建结果表明了该方法的有效性。还展示了一个实验室光学试验台,以说明该方法的实验实现。

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