[HTML][HTML] Prediction of solar energetic events impacting space weather conditions
Aiming to assess the progress and current challenges on the formidable problem of the
prediction of solar energetic events since the COSPAR/International Living With a Star …
prediction of solar energetic events since the COSPAR/International Living With a Star …
The characteristics of flare-and CME-productive solar active regions
I Kontogiannis - Advances in Space Research, 2023 - Elsevier
Solar flares and coronal mass ejections (CMEs) cause immediate and adverse effects on the
interplanetary space and geospace. In an era of space-based technical civilization, the …
interplanetary space and geospace. In an era of space-based technical civilization, the …
Predicting solar flares using CNN and LSTM on two solar cycles of active region data
We consider the flare prediction problem that distinguishes flare-imminent active regions
that produce an M-or X-class flare in the succeeding 24 hr, from quiet active regions that do …
that produce an M-or X-class flare in the succeeding 24 hr, from quiet active regions that do …
Operational prediction of solar flares using a transformer-based framework
Y Abduallah, JTL Wang, H Wang, Y Xu - Scientific reports, 2023 - nature.com
Solar flares are explosions on the Sun. They happen when energy stored in magnetic fields
around solar active regions (ARs) is suddenly released. Solar flares and accompanied …
around solar active regions (ARs) is suddenly released. Solar flares and accompanied …
Physics-informed neural networks for modeling astrophysical shocks
SP Moschou, E Hicks, RY Parekh… - Machine Learning …, 2023 - iopscience.iop.org
Physics-informed neural networks (PINNs) are machine learning models that integrate data-
based learning with partial differential equations (PDEs). In this work, for the first time we …
based learning with partial differential equations (PDEs). In this work, for the first time we …
Properties of flare-imminent versus flare-quiet active regions from the chromosphere through the corona. II. Nonparametric discriminant analysis results from the …
KD Leka, K Dissauer, G Barnes… - The Astrophysical …, 2023 - iopscience.iop.org
A large sample of active-region-targeted time-series images from the Solar Dynamics
Observatory/Atmospheric Imaging Assembly (AIA), the AIA Active Region Patch database …
Observatory/Atmospheric Imaging Assembly (AIA), the AIA Active Region Patch database …
The European Solar Telescope
CQ Noda, R Schlichenmaier, LRB Rubio… - Astronomy & …, 2022 - aanda.org
The European Solar Telescope (EST) is a project aimed at studying the magnetic
connectivity of the solar atmosphere, from the deep photosphere to the upper …
connectivity of the solar atmosphere, from the deep photosphere to the upper …
Implementation paradigm for supervised flare forecasting studies: A deep learning application with video data
Aims. In this study, we introduce a general paradigm for generating independent and well-
balanced training, validation, and test sets for use in supervised machine and deep learning …
balanced training, validation, and test sets for use in supervised machine and deep learning …
Validation of a wave heated 3D MHD coronal-wind model using polarized brightness and EUV observations
The physical properties responsible for the formation and evolution of the corona and
heliosphere are still not completely understood. 3D MHD global modeling is a powerful tool …
heliosphere are still not completely understood. 3D MHD global modeling is a powerful tool …
Flare transformer: solar flare prediction using magnetograms and sunspot physical features
K Kaneda, Y Wada, T Iida… - Proceedings of the …, 2022 - openaccess.thecvf.com
The prediction of solar flares is essential for reducing the potential damage to social
infrastructures that are vital to society. However, predicting solar flares accurately is a very …
infrastructures that are vital to society. However, predicting solar flares accurately is a very …