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  An Optimization Principle for Computing Stationary MHD Equilibria with Solar Wind Flow

Wiegelmann, T., Neukirch, T., Nickeler, D., & Chifu, I. (2020). An Optimization Principle for Computing Stationary MHD Equilibria with Solar Wind Flow. Solar Physics, 295(10): 145. doi:10.1007/s11207-020-01719-8.

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 Creators:
Wiegelmann, Thomas1, Author              
Neukirch, T., Author
Nickeler, D.H., Author
Chifu, Iulia1, Author              
Affiliations:
1Department Sun and Heliosphere, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832289              

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 Abstract: In this work we describe a numerical optimization method for computing stationary MHD equilibria. The newly developed code is based on a nonlinear force-free optimization principle. We apply our code to model the solar corona using synoptic vector magnetograms as boundary condition. Below about two solar radii the plasma β and Alfvén Mach number MA are small and the magnetic field configuration of stationary MHD is basically identical to a nonlinear force-free field, whereas higher up in the corona (where β and MA are above unity) plasma and flow effects become important and stationary MHD and force-free configuration deviate significantly. The new method allows for the reconstruction of the coronal magnetic field further outwards than with potential field, nonlinear force-free or magnetostatic models. This way the model might help to provide the magnetic connectivity for joint observations of remote sensing and in-situ instruments on Solar Orbiter and Parker Solar Probe.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11207-020-01719-8
 Degree: -

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Title: Solar Physics
  Other : Sol. Phys.
Source Genre: Journal
 Creator(s):
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Publ. Info: Dordrecht, Holland : Kluwer, etc.
Pages: - Volume / Issue: 295 (10) Sequence Number: 145 Start / End Page: - Identifier: ISSN: 0038-0938
CoNE: https://pure.mpg.de/cone/journals/resource/954925445694