论文标题
太阳风在0.1和1 AU之间的径向演变及其半经验ISO-POLID流体建模的统计分析
Statistical Analysis of the Radial Evolution of the Solar Winds between 0.1 and 1 au, and their Semi-empirical Iso-poly Fluid Modeling
论文作者
论文摘要
Helios太阳风观测到以批量速度排序的几个人群的统计分类显示,风的向外加速。风的速度越快,在0.3-1 AU径向范围内的加速度越小(Maksimovic等人2020)。在本文中,我们表明,来自Parker太阳能探针(PSP)的最新测量值与接近Helios分类的太阳更接近延伸。例如,在PSP数据中验证了良好确定的散装速度/质子温度(U,TP)相关性和批量速度/电子温度(U,TE)抗相关性以及最慢风的加速度。我们还使用类似经验的Parker样模型对合并的PSP和Helios数据进行建模,太阳风经历了“ ISO-POLY”膨胀:电晕中的等温,然后在大于Sonic点半径的距离上进行多trolototic。多层面指数源自观察到的温度和密度梯度。我们的建模表明,电子热压在慢速和中间风的加速过程中(在1 au时为300-500 km/s的范围为300-500 km/s),在较大的距离范围内,并且仅全球(电子和质子)热能,单独的热能,能够解释加速度的概况。此外,我们表明,除了观察到的压力梯度,这是另一个加速度的来源,太阳风还需要非常慢的太阳风。
Statistical classification of the Helios solar wind observations into several populations sorted by bulk speed has revealed an outward acceleration of the wind. The faster the wind is, the smaller is this acceleration in the 0.3 - 1 au radial range (Maksimovic et al. 2020). In this article we show that recent measurements from the Parker Solar Probe (PSP) are compatible with an extension closer to the Sun of the latter Helios classification. For instance the well established bulk speed/proton temperature (u,Tp) correlation and bulk speed/electron temperature (u,Te) anti-correlation, together with the acceleration of the slowest winds, are verified in PSP data. We also model the combined PSP and Helios data, using empirical Parker-like models for which the solar wind undergoes an "iso-poly" expansion: isothermal in the corona, then polytropic at distances larger than the sonic point radius. The polytropic indices are derived from the observed temperature and density gradients. Our modelling reveals that the electron thermal pressure has a major contribution in the acceleration process of slow and intermediate winds (in the range of 300-500 km/s at 1 au), over a broad range of distances and that the global (electron and protons) thermal energy, alone, is able to explain the acceleration profiles. Moreover, we show that the very slow solar wind requires in addition to the observed pressure gradients, another source of acceleration.