A new deep-learning approach to infer solar and geomagnetic parameters for the 1859 Carrington event
In this study, we investigate the solar and geomagnetic parameters of the 1859 Carrington event using deep learning and empirical relationships. For this, we apply an image translation model, a popular deep learning method based on conditional Generative Adversarial Networks, to the generation of ma...
שמור ב:
| Principais autores: | , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
EDP Sciences
2026-01-01
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| סדרה: | Journal of Space Weather and Space Climate |
| נושאים: | |
| גישה מקוונת: | https://www.swsc-journal.org/articles/swsc/full_html/2026/01/swsc250084/swsc250084.html |
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