Achieving Self-Consistent Nonlinear Force-free Modeling of Solar Active Regions

Details Achieving Self-Consistent Nonlinear Force-free Modeling of Solar Active Regions Achieving Self-Consistent Nonlinear Force-free Modeling of Solar Active Regions

2010-12-16

arxiv.org/abs/1012.3503v1

Astronomy and Astrophysics

Astrophysics

Solar and Stellar Astrophysics

20 pages, 10 figures, 3 tables

Scientific paper

A nonlinear force-free solution is constructed for the coronal magnetic field in NOAA solar active region AR 10953 based on a photospheric vector magnetogram derived from Hinode satellite observations on 30 April 2007, taking into account uncertainties in the boundary data and using improved methods for merging multiple-instrument data. The solution demonstrates the "self-consistency" procedure of Wheatland & Regnier (2009), for the first time including uncertainties. The self-consistency procedure addresses the problem that photospheric vector magnetogram data are inconsistent with the force-free model, and in particular that the boundary conditions on vertical electric current density are over-specified and permit the construction of two different nonlinear force-free solutions. The procedure modifies the boundary conditions on current density during a sequence of cycles until the two nonlinear force-free solutions agree. It hence constructs an accurate single solution to the force-free model, with boundary values close, but not matched exactly, to the vector magnetogram data. The inclusion of uncertainties preserves the boundary conditions more closely at points with smaller uncertainties. The self-consistent solution obtained for active region AR 10953 is significantly non-potential, with magnetic energy E/E_0 = 1.08, where E_0 is the energy of the reference potential (current-free) magnetic field. The self-consistent solution is shown to be robust against changes in the details of the construction of the two force-free models at each cycle. This suggests that reliable nonlinear force-free modeling of active regions is possible if uncertainties in vector magnetogram boundary data are included.

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