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Focal surface attitude detection for LAMOST
Research in Astronomy and Astrophysics ( IF 1.8 ) Pub Date : 2020-11-25 , DOI: 10.1088/1674-4527/20/11/181
Tian-Zhu Hu 1, 2, 3 , Yong Zhang 1, 2 , Xiang-Qun Cui 1, 2 , Ye-Ping Li 1, 2 , Xiu-Shan Pan 1, 2, 3 , Ying Fu 1, 2, 3
Affiliation  

With telescope apertures becoming larger and larger, the deployment of large-field telescopes is becoming increasingly popular. However, optical path calibration is necessary to ensure the image quality of large-field and large-diameter telescopes. In particular, focal plane attitude calibration is an essential optical path calibration technique that has a direct impact on image quality. In this paper, a focal plane attitude detection method using eight acquisition cameras is proposed based on the calibration requirements of the wide-field telescope, LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope). Comparison of simulation and experimental results shows that the detection accuracy of the proposed method can reach 30 arcsec. With additional testing and verification, this method could be used to facilitate regular focal plane attitude calibration for LAMOST as well as other large-field telescopes.



中文翻译:

LAMOST 的焦面姿态检测

随着望远镜孔径越来越大,大视场望远镜的部署也越来越流行。但是,为了保证大视场大口径望远镜的成像质量,还需要进行光路标定。特别是焦平面姿态标定是一项必不可少的光路标定技术,直接影响图像质量。本文根据广域望远镜LAMOST(大天区多目标光纤光谱望远镜)的标定要求,提出了一种使用8个采集相机的焦平面姿态检测方法。仿真和实验结果对比表明,所提方法的检测精度可以达到30 arcsec。通过额外的测试和验证,

更新日期:2020-11-25
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