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arXiv 1807.01436astro-ph.SR
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基于非线性无力场外推的张开活动区磁场特性研究

A Study of Magnetic Field Characteristics of Flaring Active Region Based on Nonlinear Force-free Field Extrapolation

Johan Muhamad, Kanya Kusano, Satoshi Inoue, Yumi Bamba

摘要:

日冕磁场是造成太阳耀斑和太阳爆发的原因。然而,可用于测量太阳爆发临界条件的磁场参数类型仍不清楚。为了理解太阳耀斑的可能条件,我们研究了Ishiguro & Kusano(2017)引入的无量纲参数$κ$,它包含了活动区(AR)中磁扭曲分布和磁通量的信息。我们引入了一个新的参数$κ^\ast$,作为$κ$的代理,我们已经分析了$κ^\ast$的演变过程中的耀斑期间的AR使用的非线性无力场(NLFFF)从光球矢量磁场数据外推。利用太阳动力学天文台(SDO)/日震和磁成像仪(HMI)的数据,我们计算了AR NOAA 11158在其为期三天的耀斑期间的$κ^\ast$。我们发现$κ^\ast$在两次大耀斑前升高到一定水平,发作后显著降低。结果表明,$κ^\ast$可以作为一个指标的必要条件,在AR的太阳爆发的开始。基于这一结果,我们提出了一种新的方法来评估一个大的太阳喷发的可能性,从AR相结合的参数$κ^\ast$和信息的AR的磁能。

英文摘要:

Coronal magnetic fields are responsible for the onset of solar flares and solar eruptions. However, the type of magnetic field parameters that can be used to measure the critical condition for a solar eruption is still unclear. As an effort to understand the possible condition for a solar flare, we have examined the non-dimensional parameter $κ$ introduced by Ishiguro & Kusano (2017), which contains information about magnetic twist distribution and magnetic flux in an active region (AR). We introduce a new parameter $κ^\ast$, as a proxy for $κ$, and we have analyzed the evolution of $κ^\ast$ during the flaring period of an AR using the nonlinear force-free field (NLFFF) extrapolated from the photospheric vector magnetic field data. Using data from the Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager (HMI), we have calculated $κ^\ast$ for the AR NOAA 11158 during its three-day flaring period. We found that $κ^\ast$ increased to a certain level before two large flares and decreased significantly after their onset. The results suggest that $κ^\ast$ may be used as an indicator of the necessary condition for the onset of a solar eruption in the AR. Based on this result, we propose a new method to assess the possibility of a large solar eruption from an AR by combining the parameter $κ^\ast$ and information about the magnetic energy of the AR.

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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