Preprocessing of Vector Magnetograph Data for a Nonlinear Force-Free Magnetic Field Reconstruction

2006/02/01 by T. Wiegelmann, Thomas Wiegelmann, B. Inhester +3 · 431 citations
Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Physics and Astronomy · #Acoustics #Astrophysics #Computational physics #Corona (planetary geology) #Coronal mass ejection #Extrapolation #Field (mathematics) #Free field #Geomagnetism and Paleomagnetism Studies #Geophysics and Gravity Measurements #Magnetic field #Magnetic flux #Magnetogram #Mathematical analysis #Mechanics #Photosphere #Physics #Solar and Space Plasma Dynamics #Solar wind #Vector field #astro-ph

paper · pdf · doi:10.1007/s11207-006-2092-z

published in Solar Physics 233(2), 215-232 (Springer Science+Business Media) · 20 pages, 5 figures

openalex publication_date 2006/02/01 · arxiv created 2006/12/21 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Knowledge regarding the coronal magnetic field is important for the understanding of many phenomena, like flares and coronal mass ejections. Because of the low plasma beta in the solar corona the coronal magnetic field is often assumed to be force-free and we use photospheric vector magnetograph data to extrapolate the magnetic field into the corona with the help of a non-linear force-free optimization code. Unfortunately the measurements of the photospheric magnetic field contain inconsistencies and noise. In particular the transversal components (say Bx and By) of current vector magnetographs have their uncertainties. Furthermore the magnetic field in the photosphere is not necessary force-free and often not consistent with the assumption of a force-free field above. We develop a preprocessing procedure to drive the observed non force-free data towards suitable boundary conditions for a force-free extrapolation. As a result we get a data set which is as close as possible to the measured data and consistent with the force-free assumption.

Citations

• Optimization code with weighting function for the reconstruction of coronal magnetic fields

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