scholarly journals Experimental study on phase diversity wavefront sensing technology in piston error detection

2012 ◽  
Vol 61 (6) ◽  
pp. 069501
Author(s):  
Luo Qun ◽  
Huang Lin-Hai ◽  
Gu Nai-Ting ◽  
Li Fei ◽  
Rao Chang-Hui
Keyword(s):  
Experimental Study ◽  
Error Detection ◽  
Wavefront Sensing ◽  
Sensing Technology ◽  
Phase Diversity

scholarly journals A Tip–Tilt and Piston Detection Approach for Segmented Telescopes

Photonics ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Shun Qin ◽  
Wai Kin Chan
Keyword(s):  
Error Detection ◽  
Phase Retrieval ◽  
Dynamic Range ◽  
Detection Accuracy ◽  
Wavefront Sensing ◽  
Next Generation ◽  
Large Aperture ◽  
Detection Approach ◽  
Segmented Mirror ◽  
And Control

Accurate segmented mirror wavefront sensing and control is essential for next-generation large aperture telescope system design. In this paper, a direct tip–tilt and piston error detection technique based on model-based phase retrieval with multiple defocused images is proposed for segmented mirror wavefront sensing. In our technique, the tip–tilt and piston error are represented by a basis consisting of three basic plane functions with respect to the x, y, and z axis so that they can be parameterized by the coefficients of these bases; the coefficients then are solved by a non-linear optimization method with the defocus multi-images. Simulation results show that the proposed technique is capable of measuring high dynamic range wavefront error reaching 7λ, while resulting in high detection accuracy. The algorithm is demonstrated as robust to noise by introducing phase parameterization. In comparison, the proposed tip–tilt and piston error detection approach is much easier to implement than many existing methods, which usually introduce extra sensors and devices, as it is a technique based on multiple images. These characteristics make it promising for the application of wavefront sensing and control in next-generation large aperture telescopes.

scholarly journals Pupil motion analysis and tracking in ophthalmic systems equipped with wavefront sensing technology

2017 ◽  
Vol 56 (9) ◽  
pp. D66 ◽  
Author(s):  
Serge Meimon ◽  
Jessica Jarosz ◽  
Cyril Petit ◽  
Elena Gofas Salas ◽  
Kate Grieve ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Wavefront Sensing ◽  
Sensing Technology

Influence of Noise to Phase Diversity Wavefront Sensing

2009 ◽  
Vol 29 (8) ◽  
pp. 2142-2146
Author(s):  
王欣 Wang Xin ◽  
赵达尊 Zhao Dazun
Keyword(s):  
Wavefront Sensing ◽  
Phase Diversity ◽  
Influence Of Noise

Practical concerns for phase diversity implementation in wavefront sensing and image recovery

2002 ◽  
Author(s):  
Jean J. Dolne ◽  
Richard J. Tansey ◽  
K. A. Black ◽  
J. H. Deville ◽  
Philip R. Cunningham ◽  
...  
Keyword(s):  
Image Recovery ◽  
Wavefront Sensing ◽  
Phase Diversity

scholarly journals Robust statistical phase-diversity method for high-accuracy wavefront sensing

2021 ◽  
Vol 137 ◽  
pp. 106335
Author(s):  
Zhisheng Zhou ◽  
Yunfeng Nie ◽  
Qiang Fu ◽  
Qiran Liu ◽  
Jingang Zhang
Keyword(s):  
High Accuracy ◽  
Wavefront Sensing ◽  
Phase Diversity

scholarly journals High-accuracy wavefront sensing by phase diversity technique with bisymmetric defocuses diversity phase

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Peiguang Zhang ◽  
Chengliang Yang ◽  
Zihao Xu ◽  
Zhaoliang Cao ◽  
Quanquan Mu ◽  
...  
Keyword(s):  
High Accuracy ◽  
Wavefront Sensing ◽  
Phase Diversity ◽  
Diversity Technique

Hybrid algorithm in phase diversity wavefront sensing

2009 ◽  
Author(s):  
Xin Wang ◽  
Dazun Zhao ◽  
Heng Mao ◽  
Xiao Wang
Keyword(s):  
Hybrid Algorithm ◽  
Wavefront Sensing ◽  
Phase Diversity
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