Automatic Solar Flare Detection Using the Solar Disk Imager Onboard the ASO-S Mission
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Published:2024-05
Issue:5
Volume:299
Page:
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ISSN:0038-0938
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Container-title:Solar Physics
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language:en
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Short-container-title:Sol Phys
Author:
Lu LeiORCID, Tian ZhengyuanORCID, Feng LiORCID, Shan JiahuiORCID, Li HuiORCID, Su Yang, Li Ying, Huang Yu, Li Youping, Li Jingwei, Zhao Jie, Ying Beili, Xue Jianchao, Zhang Ping, Song Dechao, Li Shuting, Shi Guanglu, Su Yingna, Zhang Qingmin, Ge Yunyi, Chen Bo, Li Qiao, Li Gen, Zhou Yue, Tian Jun, Liu Xiaofeng, Jing Zhichen, Gan Weiqun, Song Kefei, He Lingping, Lei Shijun
Abstract
AbstractWe present an automated solar flare detection software tool to automatically process solar observed images, detect and track solar flares, and finally compile an event catalog. It can identify and track flares that happen simultaneously or temporally close together. The method to identify a flare is based on the local intensity changes in macropixels. The basic characteristics, such as the time and location information of a flare, are determined with a triple-threshold scheme, with the first threshold (global threshold) to determine the occurrence (location) of the flare and the second and third thresholds (local thresholds) to determine the real start and end times of the flare. We have applied this tool to one month of continuous solar ultraviolet (UV) images obtained by the Solar Disk Imager (SDI) onboard the Advanced Space-based Solar Observatory (ASO-S), which show active phenomena such as flares, filaments or prominences, and solar jets. Our automated tool efficiently detected a total number of 226 solar events. After a visual inspection, we found that only one event was misidentified (unrelated to an active event). We compared the detected events with the GOES X-ray flare list and found that our tool can detect 81% of GOES M-class and above flares (29 out of 36), from which we conclude that the intensity increase in SDI UV images can be considered as a good indicator of a solar flare.
Funder
the National Key R&D Program of China National Natural Science Foundation of China the Strategic Priority Research Program of the Chinese Academy of Sciences National Key R&D Program of China
Publisher
Springer Science and Business Media LLC
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