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arXiv 0808.2971astro-ph
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产生极快日冕物质抛射的太阳活动区的统计研究

A Statistical Study on Solar Active Regions Producing Extremely Fast Coronal Mass Ejections

Yuming Wang, Jie Zhang

摘要:

本文统计了1996年6月至2007年1月发生的57次最快的正面日冕物质抛射(CME)(速度1500 km/s)的太阳源区性质。这些快速CME生产区域,共35个,的属性进行了比较,所有1143个活动区(AR)在研究期间。一个自动化的方法,SOHO/MDI磁天气图的基础上,被用来选择和表征AR。对于每个AR,导出一组参数,包括面积(正、负和总,分别用A_P、A_N和A_T表示),磁通量(分别为正、负和总F_P、F_N和F_T)、平均磁场强度(B_avg)、表征AR总体形状的准伸长(e)、极性反转线的数量和长度(PIL,或中性线,分别为N_PIL和L_PIL),以及PIL上的磁梯度的平均值和最大值(分别为GOP_avg和GOP_max)。我们的统计分析显示了AR的规模和产生快速CME的可能性之间的一般趋势,即,几何尺寸(A_T)越大,磁通量(F_T)越大,磁场(B_avg)越强,和/或磁位形(N_PIL和L_PIL)越复杂,则产生快速CME的可能性越高。当所有的AR被分为三个相等编号的组,这些参数的低,中,高值,我们发现,对于所有这些AR参数,超过60%的极快的CME是从高值组。这两个PIL参数是产生快速CME的最佳指标,其中80%以上来自高值组。

英文摘要:

We present a statistical result on the properties of solar source regions that have produced 57 fastest front-side coronal mass ejections (CMEs) (speed 1500 km/s) occurred 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 AR, a set of parameters are derived including the areas (positive, negative and total, denoted by A_P, A_N and A_T respectively), the magnetic fluxes (positive, negative and total, F_P, F_N and F_T respectively), the average magnetic field strength (B_avg), 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 of magnetic gradient on the PILs (GOP_avg and GOP_max respectively). Our statistical analysis shows a general trend between the scales of an AR and the likelihood of producing a fast CME, i.e., the larger the geometric size (A_T), the larger the magnetic flux (F_T), the stronger the magnetic field (B_avg), and/or the more complex the magnetic configuration (N_PIL and L_PIL), then the higher the possibility of producing a fast CME. When all ARs are sorted into three equally-numbered groups with low, middle and high values of these parameters, we find that, for all these AR parameters, more than 60% of extremely fast CMEs are from the high-value group. The two PIL parameters are the best indicators of producing fast CMEs, with more than 80% from the high value group.

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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