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A sequential optimization procedure designed for Lyot coronagraph aiming to realize high contrast direct imaging for exoplanets 会议论文
SPACE TELESCOPES AND INSTRUMENTATION 2020: OPTICAL, INFRARED, AND MILLIMETER WAVE, ELECTR NETWORK, 2020-12-14
作者:  Ge, Rui;  Wang, Pengfei;  Wang, Yuanbo;  Zhao, Hui;  Wei, Jingxuan;  Duan, Yongqiang;  Fan, Xuewu
Adobe PDF(1418Kb)  |  收藏  |  浏览/下载：140/1  |  提交时间：2021/06/15
exoplanet imaging  Lyot coronagraph  high contrast imaging  sequential optimization  
Improved two-step optimization procedure used for designing an apodizer and Lyot stop in the Lyot coronagraph 期刊论文
Applied Optics, 2020, 卷号: 59, 期号: 16, 页码: 4939-4952
作者:  Rui Ge;  Hui Zhao;  Jing-Xuan Wei;  Yong-Qiang Duan;  Zhe Bai;  Chuang Li;  Yuan-Bo Wang;  Xue-Wu Fan
Adobe PDF(2453Kb)  |  收藏  |  浏览/下载：229/4  |  提交时间：2020/06/12
星冕仪光阑的优化设计及影响因素分析研究 学位论文
工学硕士, 北京: 中国科学院大学, 2020
作者:  葛睿
Adobe PDF(6597Kb)  |  收藏  |  浏览/下载：431/1  |  提交时间：2020/06/12
高对比度成像  星冕仪  优化方法  变迹器  里奥光阑  
Experimental demonstration of wave-front coded imaging with a very low response of the modulation transfer function at the Nyquist frequency 期刊论文
Applied Optics, 2019, 卷号: 58, 期号: 35, 页码: 9562-9569
作者:  Zhao, Hui;  Mi, Jiao;  Yu, Congcong;  Ge, Rui;  Fan, Xuewu
Adobe PDF(1978Kb)  |  收藏  |  浏览/下载：263/5  |  提交时间：2019/12/23
Joint optimization of apodizer and lyot stop for coronagraph with four-quadrant phase mask 会议论文
AOPC 2019: Space Optics, Telescopes, and Instrumentation, Beijing, China, 2019-07-07
作者:  Ge, Rui;  Zhao, Hui;  Li, Chuang;  Fan, Xue-Wu;  Yu, Cong-Cong
Adobe PDF(522Kb)  |  收藏  |  浏览/下载：163/1  |  提交时间：2020/03/04
Exoplanet detection  coronagraph  Four-Quadrant Phase-Mask  apodizer  Lyot stop  optimization  
High-resolution imaging of space target based on compressed sensing 会议论文
Eleventh International Conference on Digital Image Processing, ICDIP 2019, Guangzhou, China, 2019-05-10
作者:  Yu, Congcong;  Zhao, Hui;  Zhang, Ling;  Wang, Jing;  Ge, Rui;  Fan, Xuewu
Adobe PDF(390Kb)  |  收藏  |  浏览/下载：170/2  |  提交时间：2019/10/10
compressed sensing  TVAL3 algorithm  super resolution  space target