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    • 摘要: 离轴反射式望远镜主要应用于空间天文观测等领域。离轴两反望远镜的成像质量对镜片的失调敏感,且在工作环境下失调后使用激光干涉仪进行校准较为困难。针对这一难题,本文提出了一种利用系统对无穷远点目标的离焦光斑图并使用Swin-Transformer网络计算次镜横向失调量的方法。通过理论计算分析,可以避免多解问题的相机离焦位置,并利用仿真探究了不同离焦量对校正精度的影响,最后搭建实验平台进行验证,训练好的网络使用失调系统的一帧离焦光斑图便可进行失调量的估计。仿真分析与实验结果均验证了该方法的有效性,可实现工作环境中失调望远镜系统的高精度和快速校正。

       

      Abstract: Off-axis reflector telescopes are mainly used in space astronomy observation and other related fields. The image quality of off-axis two-inversion telescopes is sensitive to lens misalignment and is more difficult to calibrate using a laser interferometer after misalignment in an operating environment. To address this challenge, this paper proposes a method that uses the out-of-focus spot map of the system for infinity point targets and uses the Swin-Transformer network to calculate the amount of lateral misalignment of the secondary mirror. Theoretical calculations were used to determine the camera defocus positions that could avoid the multi-solution problem, and simulations were used to investigate the effect of different defocus amounts on calibration accuracy. The trained network uses a frame of out-of-focus spot map of the out-of-tune system to perform the estimation of the amount of out-of-tune. Both simulation analysis and experimental results verify the effectiveness of the method, which can achieve high accuracy and fast correction of out-of-tune telescope systems in the working environment.