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arXiv 1106.4196astro-ph.SR
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利用SDO/AIA观测活动区所显示的纳米耀斑风暴加热型

Patterns of Nanoflare Storm Heating Exhibited by an Active Region Observed with SDO/AIA

Nicholeen M. Viall, James A. Klimchuk

摘要:

人们普遍认为,许多日冕环--那些在大约1 MK的温度下观察到的环--是一束束未解决的链,它们被脉冲纳米耀斑的风暴加热。日冕加热在较热的环和非常重要但在很大程度上被忽视的活动区的扩散部分的性质是不太清楚的。这些区域也是脉冲加热的吗?还是加热是准稳定的?太阳动力学天文台(SDO)大气成像组件(AIA)望远镜的壮观新数据提供了解决这个问题的绝佳机会。我们分析了6个不同AIA通道中日冕环和扩散日冕的光变曲线,并将它们与理论模型预测的光变曲线进行了比较。在不同的AIA通道的光变曲线达到其峰值强度与可预测的排序作为一个功能的nanoflare风暴属性。我们表明,虽然一些组的光变曲线表现出明确的证据,冷却后的nanoflare风暴,其他情况下是不那么简单的解释。复杂性的出现是因为通过许多不同结构的视线整合,AIA通道的宽带性质,以及因为物理性质可以根据能量释放的大小而发生实质性变化。然而,光变曲线表现出可预测和可理解的模式与脉冲纳米耀斑加热一致。

英文摘要:

It is largely agreed that many coronal loops---those observed at a temperature of about 1 MK--- are bundles of unresolved strands that are heated by storms of impulsive nanoflares. The nature of coronal heating in hotter loops and in the very important but largely ignored diffuse component of active regions is much less clear. Are these regions also heated impulsively, or is the heating quasi steady? The spectacular new data from the Atmospheric Imaging Assembly (AIA) telescopes on the Solar Dynamics Observatory (SDO) offer an excellent opportunity to address this question. We analyze the light curves of coronal loops and the diffuse corona in 6 different AIA channels and compare them with the predicted light curves from theoretical models. Light curves in the different AIA channels reach their peak intensities with predictable orderings as a function the nanoflare storm properties. We show that while some sets of light curves exhibit clear evidence of cooling after nanoflare storms, other cases are less straightforward to interpret. Complications arise because of line-of-sight integration through many different structures, the broadband nature of the AIA channels, and because physical properties can change substantially depending on the magnitude of the energy release. Nevertheless, the light curves exhibit predictable and understandable patterns consistent with impulsive nanoflare heating.

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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