Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory

no code implementations • 27 Dec 2022 • John C. Dorelli, Chris Bard, Thomas Y. Chen, Daniel da Silva, Luiz Fernando Guides dos Santos, Jack Ireland, Michael Kirk, Ryan McGranaghan, Ayris Narock, Teresa Nieves-Chinchilla, Marilia Samara, Menelaos Sarantos, Pete Schuck, Barbara Thompson

Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models.

Identification of Flux Rope Orientation via Neural Networks

no code implementations • 11 Feb 2022 • Thomas Narock, Ayris Narock, Luiz F. G. dos Santos, Teresa Nieves-Chinchilla

Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation.