Monitoring a large active region in the farside of the Sun is important for space weather
forecasting. However, direct imaging of the farside is currently not available and usually …

Solar magnetograms are important for studying solar activity and predicting space weather
disturbances. Farside magnetograms can be constructed from local helioseismology without …

A solar flare occurs due to a magnetic field reconnection above the active region. The active
region magnetic complexity observed in the magnetogram could be used as proxies for …

Learning the mapping of magnetograms and EUV images is important for understanding the
solar eruption mechanism and space weather forecasting. Previous works are mainly based …

Historical sunspot drawings are very important resources for understanding past solar
activity. We generate solar magnetograms and EUV images from Galileo sunspot drawings …

Solar magnetic activity produces extreme solar flares and coronal mass ejections, which
pose grave threats to electronic infrastructure and can significantly disrupt economic activity …

Abstract We applied Deep Learning algorithm known as Generative Adversarial Networks
(GANs) to perform solar image-to-image translation. That is, from Solar Dynamics …

Prediction of solar flares is a challenging problem in space weather forecasting that has
piqued the interest of many researchers in recent years due to improved data availability …

In astronomy, long-exposure observations are one of the important ways to improve signal-
to-noise ratios (S/Ns). In this Letter, we apply a deep-learning model to de-noise solar …

Current magnetohydrodynamics (MHD) models largely rely on synoptic magnetograms,
such as the ones produced by the Global Oscillation Network Group (GONG) …