Acta Optica Sinica, Volume. 41, Issue 5, 0512004(2021)
Radiation Calibration of All-Sky Auroral Imager Based on Stellar Radiation Stability
The all-sky auroral imager is an important ground-based instrument for auroral observation and research. The real excitation intensity of auroras on different wavelengths can be obtained by calibrating the radiation parameter of all-sky imager, which is of great significance for quantitative study of space physics. Due to the conditions of polar observation stations, many all-sky auroral imagers cannot calibrate radiation parameters on the observation site. In this paper, a method to calibrate the radiation parameter of all-sky imager is presented which is based on stellar radiation stability. The stellar is regarded as the virtual standard light source, and the radiation parameter between radiation intensity and image value are finally determined by using the sky map obtained by the all-sky imager. Using more stellar brightness and the precipitating electrons data of aurora detected by ionospheric satellite and the auroral excitation intensity calculated by GLOW model, the radiation parameter of all-sky auroral imager is verified by two different methods. The results show that in the verification of stellar brightness, the maximum deviation is 12.22%, and the average deviation is 4.624%; in the satellite precipitating particle verification, the maximum deviation of the auroral arc peak intensity calculated by the model and all-sky imager is 11.30%, and the average deviation is 5.603%. The two verification results are similar, which shows that the proposed method is effective and credible.
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Bing Han, Guojun Li, Zejun Hu, Yisheng Zhang. Radiation Calibration of All-Sky Auroral Imager Based on Stellar Radiation Stability[J]. Acta Optica Sinica, 2021, 41(5): 0512004
Category: Instrumentation, Measurement and Metrology
Received: Sep. 11, 2020
Accepted: Nov. 2, 2020
Published Online: Apr. 7, 2021
The Author Email: Han Bing (bhan@xidian.edu.cn), Li Guojun (1556176733@qq.com), Hu Zejun (huzejun@pric.org.cn), Zhang Yisheng (zhangyisheng118@sina.com)