Hyun-Jin Jeong (CV)
Contact: hyun-jin.jeong@kuleuven.be or jeong_hj@khu.ac.kr
We have produced improved Artificial Intelligence-generated Solar Farside Magnetograms (AISFMs) using a continuously upgraded deep learning model, based on full-disk solar extreme-ultraviolet (EUV) observations obtained from STEREO-A, STEREO-B, and the Solar Orbiter. Using the AISFMs together with SDO/HMI magnetograms, we have continuously tracked the magnetic fields of solar active regions from the solar front side to the far side.
Jeong et al. (TBD)
Jeong et al. (2022), "Improved AI-generated Solar Farside Magnetograms by STEREO and SDO Data Sets and Their Release", The Astrophysical Journal Supplement Series, Volume 262, Issue 2, 50, 11 pp.
AISFM-A/B: AI-generated Solar Farside Magnetogram by STEREO-A/B
Jeong et al. (2020), "Solar Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Farside", The Astrophysical Journal Letters, Volume 903, Issue 2, id.L25, 9 pp.
Kim, Park, Lee et al. (2019), "Solar Farside Magnetograms from Deep Learning Analysis of STEREO/EUVI Data", Nature Astronomy, Volume 3, p. 397-400
Website of Hyun-Jin Jeong: Research Scientist in Solar Physics and Space Weather Studies
Copyright Hyun-Jin Jeong. All rights reserved.
Email: hyun-jin.jeong@kuleuven.be, jeong_hj@khu.ac.kr