Chinese Optics Letters, 2019, 17 (6): 061101, Published Online: Jun. 5, 2019   

Telescope alignment based on the sharpness function of under-sampled images Download: 867次

Min Li 1,2,3Xin Liu 2Ang Zhang 1,2,*Hao Xian 1,2,**
Author Affiliations
1 Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China
2 Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
3 University of Chinese Academy of Sciences, Beijing 100049, China
Abstract
The precise alignment of a high-performance telescope is a key factor to ensure the imaging quality. However, for telescopes with a wide field of view, the images are sometimes under-sampled. To study the effects of under-sampled images on the precision of telescope alignment, numerical simulations are implemented with the stochastic parallel gradient descent algorithm. The results show that the alignment program can converge stably and quickly. However, with the reduction of the full width at half-maximum of images, the relative residual errors increase from 9.5% to 19.5%, and the wavefront errors raise from 0.0972λ to 0.1074λ, indicating that the accuracy of the alignment decreases.

Min Li, Xin Liu, Ang Zhang, Hao Xian. Telescope alignment based on the sharpness function of under-sampled images[J]. Chinese Optics Letters, 2019, 17(6): 061101.

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