Stochastic parallel gradient descent based adaptive optics used for a high contrast imaging coronagraph

被引：0
|
作者：
Bing Dong1
机构：
来源：
Research in Astronomy and Astrophysics | 2011年 / 11卷 / 08期
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
instrumentation:adaptive optics — methods:laboratory — techniques:image processing; coronagraph;
D O I：
暂无
中图分类号：
P182.62 [];
学科分类号：
070401 ;
摘要：
An adaptive optics(AO) system based on a stochastic parallel gradient descent(SPGD) algorithm is proposed to reduce the speckle noises in the optical system of a stellar coronagraph in order to further improve the contrast. The principle of the SPGD algorithm is described briey and a metric suitable for point source imaging optimization is given. The feasibility and good performance of the SPGD algorithm is demonstrated by an experimental system featured with a 140-actuator deformable mirror and a Hartmann-Shark wavefront sensor. Then the SPGD based AO is applied to a liquid crystal array(LCA) based coronagraph to improve the contrast. The LCA can modulate the incoming light to generate a pupil apodization mask of any pattern. A circular stepped pattern is used in our preliminary experiment and the image con-trast shows improvement from 10-3 to 10-4.5 at an angular distance of 2λ/D after being corrected by SPGD based AO.
引用
收藏
页码：997 / 1002
页数：6
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