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arXiv 1708.07087astro-ph.SR
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太阳活动区的非中和电流与耀斑生产力

Non-neutralized electric currents in solar active regions and flare productivity

Ioannis Kontogiannis, Manolis K. Georgoulis, Sung-Hong Park, Jordan A. Guerra

摘要:

我们探讨了非中性电流与太阳耀斑发生在一个相当大的样本观测的关联,旨在显示这种电流在太阳耀斑预测的潜力。我们使用日震磁成像仪定期产生的高质量矢量磁图,更具体地说,使用空间天气HMI活动区域补丁(SHARP)。通过一个新建立的方法,结合详细的误差分析,我们计算的非中和电流中包含的活动区域(AR)。产生两个预测器,即总电流和最大无符号非中和电流。两者都在AR时间序列和2012-2016年期间时间点观察的代表性样本中进行了测试。耀斑活动区的非中和电流的平均值比非耀斑区高一个数量级以上,并且与相应的耀斑指数相关性很好。这些参数的时间演变似乎是连接到物理过程,如磁通出现和/或磁极反转线的形成,与增加太阳耀斑活动。利用贝叶斯推断的燃烧概率,它表明,总的无符号的非中和电流优于显着的总无符号的磁通量和其他完善的电流相关的预测。因此,它显示了良好的前景,包括在业务耀斑预报服务。我们计划在FLARECAST项目的框架中使用新的预测器以及其他高性能的预测器。

英文摘要:

We explore the association of non-neutralized currents with solar flare occurrence in a sizable sample of observations, aiming to show the potential of such currents in solar flare prediction. We use the regularly produced high quality vector magnetograms by the Helioseismic Magnetic Imager and more specifically the Space weather HMI Active Region Patches (SHARP). Through a newly established method, that incorporates detailed error analysis, we calculate the non-neutralized currents contained in active regions (AR). Two predictors are produced, namely the total and the maximum unsigned non-neutralized current. Both are tested in AR time-series and a representative sample of point-in-time observations during the interval 2012-2016. The average values of non-neutralized currents in flaring active regions are by more than an order of magnitude higher than in non-flaring regions and correlate very well with the corresponding flare index. The temporal evolution of these parameters appears to be connected to physical processes, such as flux emergence and/or magnetic polarity inversion line formation that are associated with increased solar flare activity. Using Bayesian inference of flaring probabilities, it is shown that the total unsigned non-neutralized current outperforms significantly the total unsigned magnetic flux and other well established current-related predictors. Thus, it shows good prospects for inclusion in an operational flare forecasting service. We plan to use the new predictor in the framework of the FLARECAST project along with other highly performing predictors.

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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