25 citations · 50 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9
The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…
Identification of Flux Rope Orientation via Neural Networks
Thomas Narock, Ayris Narock, Luiz F. G. Dos Santos +1
Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation. For nowcasting activitie…
Direct First PSP Observation of the Interaction of Two Successive Interplanetary Coronal Mass Ejections in November 2020
Teresa Nieves-Chinchilla, Nathalia Alzate, Hebe Cremades +18
We investigate the effects of the evolutionary processes in the internal magnetic structure of two interplanetary coronal mass ejections (ICMEs) detected in situ between 2020 Novem…