Noise analysis in wavefront sensor subaperture optimization

Li Chen; Xin Yu

doi:10.1117/12.318086

11 August 1998 Noise analysis in wavefront sensor subaperture optimization

Li Chen, Xin Yu

Proceedings Volume 3553, Detectors, Focal Plane Arrays, and Imaging Devices II; (1998) https://doi.org/10.1117/12.318086
Event: Photonics China '98, 1998, Beijing, China

Abstract

An adaptive optics system with the adaptive ability to different detected objects and seeing conditions is being investigated in Beijing Institute of Technology. When seeing conditions are good, and the Shack-Hartmann wave front sensor of adaptive optics system is working under very low light level, the subaperture of Shack-Hartmann sensor need to be adjusted larger than that when it is working under higher light level and the seeing condition is not good enough. By setting a motorized zoom lens in front of the Shack-Hartmann WFS of a conventional adaptive optics system, the subaperture array of the WFS can be adjusted from 8 X 8 to 2 X 2 in the pupil of the telescope with step by step if necessary. With this method, the overall performance of adaptive optics system can be boosted. Based on an adaptive optics system of the 1.2 meter telescope, a discussion on the noise analysis of Shack-Hartmann WFS associated with subaperture optimization is presented in this paper.

Citation Download Citation

Li Chen and Xin Yu "Noise analysis in wavefront sensor subaperture optimization", Proc. SPIE 3553, Detectors, Focal Plane Arrays, and Imaging Devices II, (11 August 1998); https://doi.org/10.1117/12.318086

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available