Near-real-time 3D Reconstruction of the Solar Coronal Parameters Based on the Magnetohydrodynamic Algorithm outside a Sphere Using Deep Learning

For the first time, we generate solar coronal parameters (density, magnetic field, radial velocity, and temperature) on a near-real-time basis by deep learning. For this, we apply the Pix2PixCC deep-learning model to three-dimensional (3D) distributions of these parameters: synoptic maps of the phot...

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Bibliographic Details
Published in:The Astrophysical Journal Supplement Series
Main Authors: Sumiaya Rahman, Hyun-Jin Jeong, Ashraf Siddique, Yong-Jae Moon, Bendict Lawrance
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/ad1877