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arXiv · 2009.03597

Automatic Detection and Correction Algorithms for Magnetic Saturation in the SMFT/HSOS longitudinal Magnetograms

Haiqing Xu·Suo Liu·Jiangtao Su·Yuanyong Deng·Andrei Plotnikov·Xianyong Bai·Jie Chen·Xiao Yang·Jingjing Guo·Xiaofan Wang·Yongliang Song
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Abstract

longitudinal magnetic field often suffers the saturation effect in strong magnetic field region when the measurement performs in a single-wavelength point and linear calibration is adopted. In this study, we develop a method that can judge the threshold of saturation in Stokes $V/I$ observed by the Solar Magnetic Field Telescope (SMFT) and correct for it automatically. The procedure is that first perform the second-order polynomial fit to the Stokes $V/I$ \textit{vs} $I/I_{m}$ ($I_{m}$ is the maximum value of Stokes $I$) curve to estimate the threshold of saturation, then reconstruct Stokes $V/I$ in strong field region to correct for saturation. The algorithm is proved to be effective by comparing with the magnetograms obtained by the Helioseismic and Magnetic Imager (HMI). The accurate rate of detection and correction for saturation is $\sim$99.4\% and $\sim$88\% respectively among 175 active regions. The advantages and disadvantages of the algorithm are discussed.

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Haiqing Xu, Suo Liu, Jiangtao Su, Yuanyong Deng, Andrei Plotnikov, Xianyong Bai, Jie Chen, Xiao Yang, Jingjing Guo, Xiaofan Wang, Yongliang Song. 2020-09-08. Automatic Detection and Correction Algorithms for Magnetic Saturation in the SMFT/HSOS longitudinal Magnetograms. https://doi.org/10.1088/1674-4527/21/3/067

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