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arXiv 2401.03323astro-ph.SRphysics.plasm-ph
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日珥—日冕过渡区中由瑞利-泰勒不稳定性引起的混合、加热与离子-中性体解耦

Mixing, heating and ion-neutral decoupling induced by Rayleigh-Taylor instability in prominence-corona transition regions

V. S. Lukin, E. Khomenko, B. Popescu Braileanu

AI总结:

本文用部分电离等离子体双流体模型模拟日珥—日冕过渡区RTI,揭示磁场构型对离子-中性体解耦、重力能释放、摩擦与黏性加热及观测解释的影响。

摘要:

本研究探讨了日珥—日冕过渡区中磁化瑞利-泰勒不稳定性(RTI)的非线性发展。我们采用部分电离等离子体的双流体模型,比较了若干不同磁场构型下的RTI模拟。研究沿用此前关于数值日珥模型的描述[Popescu Braileanu等人,2021a、b,2023],并在二维混合层中考察不同磁场构型下的带电-中性流体耦合与等离子体加热。我们还研究了日珥周围磁场中的剪切如何影响日珥物质重力势能的释放。结果表明,流动解耦在垂直于磁场方向的平面内最强;在该平面中,中性压力梯度驱动离子-中性体漂移,而摩擦加热与膨胀日珥物质的绝热冷却相平衡。我们还表明,混合平面内的磁场可使驱动RTI的重力能更快地非线性释放,同时通过相关等离子体流动的黏性耗散更高效地加热等离子体。我们将计算结果与潜在观测量联系起来,强调对未充分分辨的双流体子结构进行积分可能导致对观测数据的误读。

英文摘要:

This study explores non-linear development of the magnetized Rayleigh-Taylor instability (RTI) in a prominence-corona transition region. Using a two-fluid model of a partially ionized plasma, we compare RTI simulations for several different magnetic field configurations. We follow prior descriptions of the numerical prominence model [Popescu Braileanu et al., 2021a,b, 2023] and explore the charged-neutral fluid coupling and plasma heating in a two-dimensional mixing layer for different magnetic field configurations. We also investigate how the shear in magnetic field surrounding a prominence may impact the release of the gravitational potential energy of the prominence material. We show that the flow decoupling is strongest in the plane normal to the direction of the magnetic field, where neutral pressure gradients drive ion-neutral drifts and frictional heating is balanced by adiabatic cooling of the expanding prominence material. We also show that magnetic field within the mixing plane can lead to faster non-linear release of the gravitational energy driving the RTI, while more efficiently heating the plasma via viscous dissipation of associated plasma flows. We relate the computational results to potential observables by highlighting how integrating over under-resolved two-fluid sub-structure may lead to misinterpretation of observational data.

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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