How Should One Optimize Nonlinear Force-Free Coronal Magnetic Field Extrapolations from SDO/HMI Vector Magnetograms?
How Should One Optimize Nonlinear Force-Free Coronal Magnetic Field Extrapolations from SDO/HMI Vector Magnetograms?
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DOI:
10.1007/s11207-012-9966-z
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发表时间:
2012-02
期刊:
影响因子:
2.8
通讯作者:
T. Wiegelmann;J. Thalmann;B. Inhester;T. Tadesse;Xudong Sun;J. Hoeksema
中科院分区:
文献类型:
--
作者:
T. Wiegelmann;J. Thalmann;B. Inhester;T. Tadesse;Xudong Sun;J. Hoeksema
TheHelioseismic and Magnetic Imager(HMI) on board theSolar Dynamics Observatory(SDO) provides photospheric vector magnetograms with a high spatial and temporal resolution. Our intention is to model the coronal magnetic field above active regions with the help of a nonlinear force-free extrapolation code. Our code is based on an optimization principle and has been tested extensively with semianalytic and numeric equilibria and applied to vector magnetograms fromHinodeand ground-based observations. Recently we implemented a new version which takes into account measurement errors in photospheric vector magnetograms. Photospheric field measurements are often affected by measurement errors and finite nonmagnetic forces inconsistent for use as a boundary for a force-free field in the corona. To deal with these uncertainties, we developed two improvements: i) preprocessing of the surface measurements to make them compatible with a force-free field, and ii) new code which keeps a balance between the force-free constraint and deviation from the photospheric field measurements. Both methods contain free parameters, which must be optimized for use with data from SDO/HMI. In this work we describe the corresponding analysis method and evaluate the force-free equilibria by how well force-freeness and solenoidal conditions are fulfilled, by the angle between magnetic field and electric current, and by comparing projections of magnetic field lines with coronal images from theAtmospheric Imaging Assembly(SDO/AIA). We also compute the available free magnetic energy and discuss the potential influence of control parameters.