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Simulating the Solar Corona with Multiple Solar Photospheric Magnetic Maps during the 8 April 2024 Total Solar Eclipse
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abstract
The 8 April 2024 total solar eclipse (TSE) provides a unique opportunity to study the solar corona. This work presents our simulations of the solar corona at the time of the eclipse based on magnetohydrodynamic (MHD) modeling performed with the Alfv\'{e}n Wave Solar atmosphere Model (AWSoM) in the Space Weather Modeling Framework, developed at the University of Michigan. We performed multiple simulations based on photospheric magnetic maps from four sources, i.e., ADAPT-GONG, Lockheed Martin ESFAM-HMI, HipFT-HMI, and NSO-NRT-HMI maps. Our study focuses on how differences in the magnetic field maps affect the coronal magnetic field structure and coronal heating properties in the simulation. The synthesized observables show remarkable differences due to the distinct magnetic coronal topologies, which stem from the different local magnetic flux distributions. We analyze the properties of the open magnetic flux regions of the models. We also study the coronal heating rate in the models. The total volume integrated heating rate yields a difference of $20\%$ across the models. The results also show that the differential emission measure in the high-temperature regions is sensitive to the magnetic field maps. Our findings underscore the importance of comprehensive photospheric magnetic field data in improving future solar coronal models.
Forward citations
Cited by 2 Pith papers
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A Non-Spherical Model for the Solar Coronal Magnetic Field
A non-spherical source surface, defined as an isosurface of magnetic field strength, is used in a finite-element potential field extrapolation to produce more open solar magnetic flux and better match PSP IMF observations.
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The Role of Far-side Magnetic Structures in Modeling 2024 Solar Eclipse
Filling the far-side gap in a standard synoptic map with magnetograms taken 4 days later changes the simulated global corona, and that composite matches 2024 eclipse streamers and PSP proton data better than the standard map.
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