most citedEffects of optimisation parameters on data-driven magnetofrictional modelling of active regions

5 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.SR2024★ 3 cited

The effect of data-driving and relaxation model on magnetic flux rope evolution and stability

Andreas Wagner, Daniel J. Price, Slava Bourgeois +7

We investigate the effect of data-driving on flux rope eruptivity in magnetic field simulations by analysing fully data-driven modelling results of active region (AR) 12473 and AR1…

astro-ph.SR2023

The Automatic Identification and Tracking of Coronal Flux Ropes -- Part II: New Mathematical Morphology-based Flux Rope Extraction Method and Deflection Analysis

Andreas Wagner, Slava Bourgeois, Emilia K. J. Kilpua +9

We present a magnetic flux rope (FR) extraction tool for solar coronal magnetic field modelling data, which builds upon the methodology from Wagner et al. (2023). We apply the sche…

astro-ph.IM2023★ 3 cited

Magnetic Energy Powers the Corona: How We Can Understand its 3D Storage & Release

Amir Caspi, Daniel B. Seaton, Roberto Casini +12

The coronal magnetic field is the prime driver behind many as-yet unsolved mysteries: solar eruptions, coronal heating, and the solar wind, to name a few. It is, however, still poo…

astro-ph.IM2023★ 1 cited

Improving Multi-Dimensional Data Formats, Access, and Assimilation Tools for the Twenty-First Century

Daniel B. Seaton, Amir Caspi, Roberto Casini +12

Heliophysics image data largely relies on a forty-year-old ecosystem built on the venerable Flexible Image Transport System (FITS) data standard. While many in situ measurements us…

astro-ph.IM2023★ 5 cited

COMPLETE: A flagship mission for complete understanding of 3D coronal magnetic energy release

Amir Caspi, Daniel B. Seaton, Roberto Casini +12

COMPLETE is a flagship mission concept combining broadband spectroscopic imaging and comprehensive magnetography from multiple viewpoints around the Sun to enable tomographic recon…

astro-ph.SR2023★ 5 cited

Effects of optimisation parameters on data-driven magnetofrictional modelling of active regions

A. Kumari, D. J. Price, F. Daei +2

Data-driven time-dependent magnetofrictional modelling (TMFM) of active region magnetic fields has been proven to be a useful tool to study the corona. The input to the model is th…