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  Reconstructing nonlinear force-free fields by a constrained optimization

Nasiri, S., & Wiegelmann, T. (2019). Reconstructing nonlinear force-free fields by a constrained optimization. Journal of Atmospheric and Solar-Terrestrial Physics, 182, 181-185. doi:10.1016/j.jastp.2018.11.008.

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 Creators:
Nasiri, S.1, Author
Wiegelmann, Thomas1, Author           
Affiliations:
1Department Sun and Heliosphere, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832289              

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Free keywords: Magnetic field, Corona Magnetic field, Models Magnetic field, Photosphere
 Abstract: It seems that the potential and linear force-free magnetic fields are inadequate to represent the observed magnetic events occurring in different regions of the solar corona. To reconstruct the nonlinear force-free fields from the solar surface magnetograms, various analytical and numerical methods have already been examined by different authors. Here, using the Lagrange multiplier technique, a constrained optimization approach for reconstructing force-free magnetic fields is proposed. In the optimization procedure the solenoidal property is considered as a constraint on the initial non-force-free field. In the Wheatland et al. (2000) method as an unconstrained optimization, both solenoidal and force-free conditions are fulfilled approximately. In contrast, the constrained optimization method, up to numerical precision, leads us to a nearly force-free magnetic field with exactly zero divergence. The solutions are obtained and tested by the Low and Lou (1990) semi-analytic solution.

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jastp.2018.11.008
 Degree: -

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Title: Journal of Atmospheric and Solar-Terrestrial Physics
  Other : J. Atmos. Sol.-Terr. Phys.
Source Genre: Journal
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Publ. Info: Kidlington, Oxford, U.K. : Pergamon
Pages: - Volume / Issue: 182 Sequence Number: - Start / End Page: 181 - 185 Identifier: ISSN: 1364-6826
CoNE: https://pure.mpg.de/cone/journals/resource/954925620156