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首页> 外文期刊>The Astrophysical journal >A STATISTICAL STUDY OF SOLAR ACTIVE REGIONS THAT PRODUCE EXTREMELY FAST CORONAL MASS EJECTIONS
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A STATISTICAL STUDY OF SOLAR ACTIVE REGIONS THAT PRODUCE EXTREMELY FAST CORONAL MASS EJECTIONS

机译：极端快速冠状动脉抛射引起的太阳活动区域的统计研究

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摘要

We present statistical results on the properties of the solar source regions that produced the 57 fastest (≥ 1500 km s~(-1)) front-side coronal mass ejections (CMEs) from 1996 June to 2007 January. The properties of these fast-CME-producing regions, 35 in total, are compared with those of all 1143 active regions (ARs) in the period studied. An automated method, based on SOHO MDI magnetic synoptic charts, is used to select and characterize the ARs. For each, a set of parameters is derived that includes the areas (positive, negative, and total, denoted A_P, A_N, and A_T, respectively), the magnetic fluxes (positive, negative, and total, F_P, F_N, and F_T), the average magnetic field strength (B_(avg)), a quasi elongation (e) characterizing the overall shape of the AR, the number and length of polarity inversion lines (PILs, or neutral lines, N_(PIL) and L_(PIL), respectively), and the average and maximum magnetic gradient on the PILs (GOP_(avg) and GOP_(max)). Our statistical analysis shows a general trend between the scales of an AR and the likelihood of its producing a fast CME; that is, the larger the geometric size (A_T), the larger the magnetic flux (F_T), the stronger the magnetic field (B_(avg)), and the more complex the magnetic configuration (N_(PIL) and L_(PIL)), the greater the possibility of producing a fast CME. When all the ARs are sorted into three evenly sized groups with low, intermediate, and high values of these parameters, we find that for all the parameters, more than 60% of extremely fast CMEs are from the high-value group. The two PIL parameters are the best indicators of fast-CME production, with more than 80% coming from the high-value group.
机译：我们提供了1996年6月至2007年1月产生57个最快（≥1500 km s〜（-1））前部日冕质量抛射（CME）的太阳能源区域的统计结果。在研究期间，将这些快速CME产生区域的属性（总共35个）与所有1143个活动区域（AR）的属性进行了比较。基于SOHO MDI磁性天气图的自动化方法用于选择和表征AR。对于每个参数，得出一组参数，其中包括面积（正，负和总，分别表示为A_P，A_N和A_T），磁通量（正，负和总，F_P，F_N和F_T） ，平均磁场强度（B_（avg）），表征AR整体形状的准延伸率（e），极性反转线（PIL或中性线N_（PIL）和L_（PIL）的数量和长度）和PIL上的平均和最大磁梯度（GOP_（avg）和GOP_（max））。我们的统计分析表明，AR规模与其产生快速CME的可能性之间存在总体趋势。也就是说，几何尺寸（A_T）越大，磁通量（F_T）越大，磁场（B_（avg））越强，磁配置（N_（PIL）和L_（PIL）越复杂），则生成快速CME的可能性就越大。当将所有AR分为具有低，中和高这些参数值的三个均匀大小的组时，我们发现对于所有参数，超过60％的极快CME来自高值组。两个PIL参数是快速CME生产的最佳指标，其中80％以上来自高价值组。

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