4.6 Article

Data-driven, time-dependent modeling of pre-eruptive coronal magnetic field configuration at the periphery of NOAA AR 11726

Journal

ASTRONOMY & ASTROPHYSICS
Volume 658, Issue -, Pages -

Publisher

EDP SCIENCES S A
DOI: 10.1051/0004-6361/202038744

Keywords

Sun: coronal mass ejections (CMEs); Sun: corona; magnetic fields; Sun: activity

Funding

  1. doctoral program in particle physics and universe sciences (PAPU) of the University of Helsinki
  2. NASA-LWS Targeted Research & Technology program [80NSSC19K0072]
  3. ERC under the European Union's Horizon 2020 Research and Innovation Programme [724391]
  4. Academy of Finland [310445, 312390, 336809]
  5. Academy of Finland (AKA) [312390, 310445, 336809, 312390, 310445] Funding Source: Academy of Finland (AKA)

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This study utilized a data-driven, time-dependent magnetofrictional simulation to examine the pre- and post-eruptive evolution of a solar eruption and highlight the strengths and weaknesses of the simulation approach. The results demonstrate the simulation's effectiveness in modeling the pre-eruptive flux rope system but indicate difficulties in reproducing the post-eruptive ejection.
Context. Data-driven, time-dependent magnetofrictional modeling has proved to be an efficient tool for studying the pre-eruptive build-up of energy for solar eruptions, and sometimes even the ejection of coronal flux ropes during eruptions. However, previous modeling works have illustrated the sensitivity of the results on the data-driven boundary condition, as well as the difficulty in modeling the ejections with proper time scales. Aims. We aim to study the pre- and post-eruptive evolution of a weak coronal mass ejection producing eruption at the periphery of isolated NOAA active region (AR) 11726 using a data-driven, time-dependent magnetofrictional simulation, and aim to illustrate the strengths and weaknesses of our simulation approach. Methods. We used state-of-the-art data processing and electric field inversion methods to provide the data-driven boundary condition for the simulation. We analyzed the field-line evolution, magnetic connectivity, twist, as well as the energy and helicity budgets in the simulation to study the pre- and post-eruptive magnetic field evolution of the observed eruption from AR11726. Results. We find the simulation to produce a pre-eruptive flux rope system consistent with several features in the extreme ultraviolet and X-ray observations of the eruption, but the simulation largely fails to reproduce the ejection of the flux rope. We find the flux rope formation to be likely driven by the photospheric vorticity at one of the footpoints, although reconnection at a coronal null-point may also feed poloidal flux to the flux rope. The accurate determination of the non-inductive (curl-free) component of the photospheric electric field boundary condition is found to be essential for producing the flux rope in the simulation. Conclusions. Our results illustrate the applicability of the data-driven, time-dependent magnetofrictional simulations in modeling the pre-eruptive evolution and formation process of a flux rope system, but they indicate that the modeling output becomes problematic for the post-eruptive times. For the studied event, the flux rope also constituted only a small part of the related active region.

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