Vol 20, No 11 (2020) / Hu

Focal surface attitude detection for LAMOST

Tian-Zhu Hu, Yong Zhang, Xiang-Qun Cui, Ye-Ping Li, Xiu-Shan Pan, Ying Fu


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.


methods: data analysis — techniques: high angular resolution — techniques: image processing

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DOI: https://doi.org/10.1088/1674–4527/20/11/181


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