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Table · dataset · 2014

Modeling the magnetic field in the solar corona

Listed in IVOA Registry (Virtual Observatory)

Nonlinear force-free field (NLFFF) extrapolation is a powerful tool for the modeling of the magnetic field in the solar corona.

Description

However, since the photospheric magnetic field does not in general satisfy the force-free condition, some kind of processing is required to assimilate data into the model. In this paper, we report the results of new preprocessing for the NLFFF extrapolation.

Through this preprocessing, we expect to obtain magnetic field data similar to those in the chromosphere. In our preprocessing, we add a new term concerning chromospheric longitudinal fields into the optimization function proposed by Wiegelmann et al (2006SoPh..233..215W). We perform a parameter survey of six free parameters to find minimum force- and torque-freeness with the simulated-annealing method.

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Analyzed data are a photospheric vector magnetogram of AR 10953 observed with the Hinode spectropolarimeter and a chromospheric longitudinal magnetogram observed with SOLIS spectropolarimeter. It is found that some preprocessed fields show the smallest force- and torque-freeness and are very similar to the chromospheric longitudinal fields. On the other hand, other preprocessed fields show noisy maps, although the force- and torque-freeness are of the same order.

By analyzing preprocessed noisy maps in the wave number space, we found that small and large wave number components balance out on the force-free index. We also discuss our iteration limit of the simulated-annealing method and magnetic structure broadening in the chromosphere.

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Catalogue records · 2

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Longitudinal study 65%
Provenance · 1 source records, 8 field assertions
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IVOA Registry (Virtual Observatory)ivo://cds.vizier/j/apj/752/12613 d agoJSON v1
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concepts[field].local:field:astronomymapping · IVOA Registryconnector:ivoa_registry@1.0.0
concepts[method].local:method:longitudinal-studyenrichment · IVOA Registrykeyword-concept-rules@1.0.0title+description (65%)
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