摘要
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 undersampled 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 0.0972λto 0.1074λ,indicating that the accuracy of the alignment decreases.
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 undersampled 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.
作者
Min Li
Xin Liu
Ang Zhang
Hao Xian
李敏;刘鑫;张昂;鲜浩(Key Laboratory of Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China;Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;University of Chinese Academy of Sciences,Beijing 100049,China)
基金
supported by the National Natural Science Foundation of China(No.11873008)
