Properties of the prominence magnetic field and plasma distributions as obtained from 3D whole-prominence fine structure modeling

Stanislav Gunar, Duncan Hendry Mackay

Research output: Contribution to journalArticlepeer-review

Abstract

Aims. We analyze distributions of the magnetic field strength and prominence plasma (temperature, pressure, plasma beta, and mass) using the 3D whole-prominence fine structure model.
Methods. The model combines a 3D magnetic field configuration of an entire prominence, obtained from non-linear force-free field simulations, with a detailed semi-empirically derived description of the prominence plasma. The plasma is located in magnetic dips in hydrostatic equilibrium and is distributed along multiple fine structures within the 3D magnetic model.
Results. We show that in the modeled prominence, the variations of the magnetic field strength and its orientation are insignificant on scales comparable to the smallest dimensions of the observed prominence fine structures. We also show the ability of the 3D whole-prominence fine structure model to reveal the distribution of the prominence plasma, with respect to its temperature within the prominence volume. This provides new insights into the composition of the prominence-corona transition region. We further demonstrate that the values of the plasma beta are small throughout the majority of the modeled prominence when realistic photospheric magnetic flux distributions and prominence plasma parameters are assumed. While this is generally true, we also find that in the region with the deepest magnetic dips, the plasma beta may increase towards unity. Finally, we show that the mass of the modeled prominence plasma is in good agreement with the mass of observed non-eruptive prominences.
Original languageEnglish
Article numberA60
Number of pages10
JournalAstronomy & Astrophysics
Volume592
Early online date25 Jun 2016
DOIs
Publication statusPublished - Aug 2016

Keywords

  • Sun: filaments, prominences
  • Sun: magnetic fields
  • Plasmas
  • Methods: numerical

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