Electron Density Reconstruction of Solar Coronal Mass Ejections Based on a Genetic Algorithm: Method and Application
文献类型:期刊论文
作者 | Dai,Xinghua2,3; Wang,Huaning1,3; Inhester,Bernd4 |
刊名 | The Astrophysical Journal |
出版日期 | 2020-06-01 |
卷号 | 896期号:2 |
ISSN号 | 0004-637X |
关键词 | Solar coronal mass ejections Solar activity Line of sight Field of view |
DOI | 10.3847/1538-4357/ab963a |
英文摘要 | Abstract We present a new method to reconstruct the three-dimensional electron density of coronal mass ejections (CMEs) based on a genetic algorithm, namely the genetic reconstruction method (GRM). GRM is first applied to model CMEs with different orientations and shapes. A set of analytic model CMEs from Gibson and Low is employed to produce synthetic CME images for GRM reconstruction. Model CMEs with longitudes of 0°, 45°, 90°, 135°, and 180° and latitudes of 0°, 15°, 30°, and 45° are used to test the performance of GRM. The model CMEs are obscured with a simulated occulter of a coronagraph to determine the influence of CME brightness incompleteness. We add random noise to some synthetic CME images to test the performance of GRM. The CME reconstructions are carried out using synthetic data from Solar Terrestrial Relations Observatory (STEREO) A and B with a separation angle of 90° and from STEREO A and the Solar and Heliospheric Observatory (SOHO) with a separation angle of 73°. The Pearson correlation coefficient and the mean relative absolute deviation are calculated to analyze the similarities in brightness and electron density between the model and reconstructed CMEs. Comparisons based on the similarity analysis under various conditions stated above give us valuable insights into the advantages and limitations of GRM reconstruction. The method is then applied to real coronagraph data from STEREO A and B, and SOHO on 2013 September 30. |
语种 | 英语 |
出版者 | The American Astronomical Society |
WOS记录号 | IOP:0004-637X-896-2-AB963A |
源URL | [http://ir.bao.ac.cn/handle/114a11/63643] |
专题 | 中国科学院国家天文台 |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China 2.School of Physics and Information Engineering, Shanxi Normal University, Linfen 041000, People’s Republic of China; xinghua.dai@outlook.com 3.Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, People’s Republic of China 4.Max Planck Institute for Solar System Research, Justus-von-Liebig-Weg 3, D-37077 G?ttingen, Germany |
推荐引用方式 GB/T 7714 | Dai,Xinghua,Wang,Huaning,Inhester,Bernd. Electron Density Reconstruction of Solar Coronal Mass Ejections Based on a Genetic Algorithm: Method and Application[J]. The Astrophysical Journal,2020,896(2). |
APA | Dai,Xinghua,Wang,Huaning,&Inhester,Bernd.(2020).Electron Density Reconstruction of Solar Coronal Mass Ejections Based on a Genetic Algorithm: Method and Application.The Astrophysical Journal,896(2). |
MLA | Dai,Xinghua,et al."Electron Density Reconstruction of Solar Coronal Mass Ejections Based on a Genetic Algorithm: Method and Application".The Astrophysical Journal 896.2(2020). |
入库方式: OAI收割
来源:国家天文台
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