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arXiv 1709.01677astro-ph.SRphysics.space-ph
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太阳耀斑复杂网络

Solar Flares Complex Networks

Akbar Gheibi, Hossein Safari, Mohsen Javaherian

摘要:

研究了太阳耀斑复杂网络的特征。耀斑的有限可预测性、非线性和自组织临界性使我们可以从复杂系统的角度来研究耀斑系统。利用2006年1月1日至2016年7月21日期间观测到的耀斑的发生时间和位置,设计了耀斑生长网络。太阳能表面被划分为具有相等面积的单元。包括耀斑的单元被认为是网络的节点。相关的链接相当于交感神经兴奋。提取的特征表明耀斑网络遵循复杂性的定量测量。度指数大于3的连通性分布的幂律性质表明耀斑形成了一个无标度和小世界网络。耀斑网络具有聚集系数大、特征路径长度小、直径变化缓慢等特点。我们证明了耀斑网络的度关联具有离散网络的特征。发生在网络中心的大能量耀斑(GOES分类中的M和X型)中约有11%覆盖了3%的太阳表面。

英文摘要:

We investigate the characteristics of the solar flares complex network. The limited predictability, non-linearity, and self-organized criticality of the flares allow us to study systems of flares in the field of the complex systems. Both the occurrence time and the location of flares detected from January 1, 2006 to July 21, 2016 are used to design the growing flares network. The solar surface is divided into cells with equal areas. The cells, which include flare(s), are considered as nodes of the network. The related links are equivalent to sympathetic flaring. The extracted features present that the network of flares follows quantitative measures of complexity. The power-law nature of the connectivity distribution with a degree exponent greater than three reveals that flares form a scale-free and small-world network. The great value of the clustering coefficient, small characteristic path length, and slowly change of the diameter are all characteristics of the flares network. We show that the degree correlation of the flares network has the characteristics of a disassortative network. About 11% of the large energetic flares (M and X types in GOES classification) that occurred in the network hubs cover 3% of the solar surface.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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