Stochastic parallel gradient descent based adaptive optics used for a high contrast imaging coronagraph | |
Bing Dong; De-Qing Ren; Xi Zhang | |
2011-08 | |
发表期刊 | Research in Astronomy and Astrophysics |
卷号 | 11期号:8页码:997–1002 |
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 briefly 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 contrast shows improvement from 10-3 to 10-4.5at an angular distance of 2λ/D after being corrected by SPGD based AO. |
关键词 | Adaptive Optics Laboratory Image Processing Coronagraph |
学科领域 | 系外行星探测 |
WOS记录号 | WOS:000294232800011 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.niaot.ac.cn/handle/114a32/623 |
专题 | 期刊论文 |
推荐引用方式 GB/T 7714 | Bing Dong,De-Qing Ren,Xi Zhang. Stochastic parallel gradient descent based adaptive optics used for a high contrast imaging coronagraph[J]. Research in Astronomy and Astrophysics,2011,11(8):997–1002. |
APA | Bing Dong,De-Qing Ren,&Xi Zhang.(2011).Stochastic parallel gradient descent based adaptive optics used for a high contrast imaging coronagraph.Research in Astronomy and Astrophysics,11(8),997–1002. |
MLA | Bing Dong,et al."Stochastic parallel gradient descent based adaptive optics used for a high contrast imaging coronagraph".Research in Astronomy and Astrophysics 11.8(2011):997–1002. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Stochastic parallel (879KB) | 开放获取 | CC BY-NC-ND | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论