Chinese Optics, Volume. 16, Issue 2, 358(2023)

Sub region curvature sensing method for survey telescope with larger aperture

Qi-chang AN1,3、*, Xiao-xia WU1,3, Jing-xu ZHANG1,3, Hong-wen LI1,3, Jia-kang ZHU1,2, and Yu-qi CAI4
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Jilin Provincial Key Laboratory of Intelligent Wavefront Sensing and Control, Changchun 130033, China
  • 4Harbin Institute of Technology, Harbin 150001, China
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    The large aperture sky survey telescope needs closed-loop error correction based on the feedback of its wavefront sensing system, so as to give it a better conform to its limit detection ability. In this paper, firstly, the basic theoretical expression of sub region curvature sensing is derived. Then, a joint simulation model is established. The process of sub region curvature sensing is simulated and analyzed by using a combination of optical design software and numerical calculation software. Finally, by setting up a desktop experiment, the cross-comparison of single- and multi-target curvature sensors is carried out to verify the correctness of the algorithm. Compared to the traditional active optical technology, the method proposed in this paper can improve the detection signal-to-noise ratio and sampling speed by expanding the available guide stars. For the standard wavefront, compared with the single guide star curvature sensor, the error is 0.02 operating wavelengths (RMS), and the error is less than 10%, which can effectively improve the correction ability of the active optical system.

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    Qi-chang AN, Xiao-xia WU, Jing-xu ZHANG, Hong-wen LI, Jia-kang ZHU, Yu-qi CAI. Sub region curvature sensing method for survey telescope with larger aperture[J]. Chinese Optics, 2023, 16(2): 358

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    Paper Information

    Category: Original Article

    Received: Jun. 10, 2022

    Accepted: --

    Published Online: Apr. 4, 2023

    The Author Email:

    DOI:10.37188/CO.2022-0117

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