Detection and analysis of white-light emission in solar flares through light curve diagnostics
Shuanghong Li, Yongliang Song, Kun Wang, Xianyong Bai, Xiao Yang, Nian Liu, and Ziyao Hu

TL;DR
This study introduces a new pixel-based light curve method to detect white-light emission in solar flares, revealing its widespread occurrence even in lower-class flares and identifying the lowest-class event with confirmed WL emission.
Contribution
A novel detection technique for white-light emission in solar flares using pixel light curve analysis, validated on multiple flare classes and revealing high occurrence rates.
Findings
White-light emission is present in most flares, including C-class events.
The occurrence rate of WLFs in the studied active region is approximately 65%.
A C1.0 class flare with confirmed WL emission is reported, the lowest GOES class to date.
Abstract
White-light flares (WLFs) are crucial for understanding the energy transport and heating processes in the lower solar atmosphere. Systematic studies are highly necessary. However, most WLFs are very weak and difficult to detect. To address this, we propose a new method of detecting WLFs. Through the observations of SDO/HMI, the light curve of each pixel in the flaring region can be obtained. By subtracting the slowly varying background, we obtained a series of rapidly varying radiative pulses. Pixels for which radiative pulses during flares significantly exceed those occurring before and after the flare were identified as WL emission regions. We applied our method to the detection of the X2.2 flare on September 6, 2017 and validated the method. We found that the WL emission in this flare exhibits two phases, and that different regions show distinct WL emission properties. We also…
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