论文标题

对磁云中扭曲分布的强大估计

A robust estimation of the twist distribution in magnetic clouds

论文作者

Lanabere, V., Démoulin, P., Dasso, S.

论文摘要

航天器观察到磁性云(MC)。它们的磁场的旋转通常被解释为从太阳能电晕发射的扭曲磁通管或磁通绳的交叉。跨MCS的详细磁性测量使我们能够推断磁通绳特性。尽管如此,磁性扭曲的精确空间分布还是具有挑战性的,因此是有争议的。为了提高结果的鲁棒性,我们对1 AU处的一组经过良好观察到的MC进行了超级时期分析(SEA)。在使用MC Central时间完成以前的工作时,我们在这里使用了拟合的磁通绳模型的结果来选择最接近通量绳轴的时间。这意味着在观察到的信号上相干地相位的内部和出站区域的精确分离。我们还搜索并最小化了可能的偏差,例如磁不对称和有限冲击参数。我们应用了海洋,以得出中位剖面的中位数,既可以通过航天器交叉时的通量绳,又可以在侵蚀之前恢复存在的绳索。特别是,中位方位角B分量几乎是半径的线性函数。更普遍地,结果证实了我们先前的结果未能进行如此深入的分析。在通量绳芯中,扭曲曲线几乎是统一的,在通量绳的边界上急剧增加,并且在内外区域和出站区域具有相似的轮廓。我们先前研究的主要区别是$ \ sim 20 \%$更大的转折。

Magnetic clouds (MCs) are observed insitu by spacecraft. The rotation of their magnetic field is typically interpreted as the crossing of a twisted magnetic flux tube, or flux rope, which was launched from the solar corona. The detailed magnetic measurements across MCs permit us to infer the flux rope characteristics. Still, the precise spatial distribution of the magnetic twist is challenging, and thus is debated. In order to improve the robustness of the results, we performed a superposed epoch analysis (SEA) of a set of well observed MCs at 1 au. While previous work was done using the MC central time, we here used the result of a fitted flux rope model to select the time of the closest approach to the flux rope axis. This implies a precise separation of the in- and outbound regions to coherently phase the observed signals. We also searched for and minimised the possible biases such as magnetic asymmetry and a finite impact parameter. We applied the SEA to derive the median profiles both for the flux rope remaining when crossed by the spacecraft and to recover the one present before erosion. In particular, the median azimuthal B component is nearly a linear function of the radius. More generally, the results confirm our previous results realised without such a deep analysis. The twist profile is nearly uniform in the flux rope core, with a steep increase at the border of the flux rope and with similar profiles in the in- and outbound regions. The main difference with our previous study is a larger twist by $\sim 20\%$.

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