Price , D , Pomoell , J & Kilpua , E 2020 , ' Exploring the coronal evolution of AR 12473 using time-dependent, data-driven magnetofrictional modelling ' , Astronomy & Astrophysics , vol. 644 , 28 . https://doi.org/10.1051/0004-6361/202038925
Title: | Exploring the coronal evolution of AR 12473 using time-dependent, data-driven magnetofrictional modelling |
Author: | Price, Daniel; Pomoell, Jens; Kilpua, Emilia |
Contributor organization: | Space Physics Research Group Particle Physics and Astrophysics Department of Physics |
Date: | 2020-11-25 |
Language: | eng |
Number of pages: | 7 |
Belongs to series: | Astronomy & Astrophysics |
ISSN: | 1432-0746 |
DOI: | https://doi.org/10.1051/0004-6361/202038925 |
URI: | http://hdl.handle.net/10138/324211 |
Abstract: | Aims. We present a detailed examination of the magnetic evolution of AR 12473 using time-dependent, data-driven magnetofrictional modelling.Methods. We used maps of the photospheric electric field inverted from vector magnetogram observations, obtained by the Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory (SDO), to drive our fully time-dependent, data-driven magnetofrictional model. Our modelled field was directly compared to extreme ultraviolet observations from the Atmospheric Imaging Assembly, also onboard SDO. Metrics were also computed to provide a quantitative analysis of the evolution of the magnetic field.Results. The flux rope associated with the eruption on 28 December 2015 from AR 12473 was reproduced by the simulation and found to have erupted due to a torus instability. |
Description: | Erratum: 10.1051/0004-6361/202038925e. |
Subject: |
FIELDS
MASS EJECTIONS Sun: corona Sun: coronal mass ejections (CMEs) VECTOR MAGNETOGRAM magnetic fields magnetic reconnection methods: data analysis methods: numerical 115 Astronomy, Space science |
Peer reviewed: | Yes |
Rights: | unspecified |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
Funder: | European Commission / Horizon 2020 European Commission |
Grant number: | 724391 724391 |
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