Forecasting Solar Energetic Particle Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning

Forecasting Solar Energetic Particle Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning

The prediction of solar energetic particle (SEP) events garners increasing interest as space missions extend beyond Earth’s protective magnetosphere. These events, which are, in most cases, products of magnetic-reconnection-driven processes during solar flares or fast coronal-mass-ejection-driven sh...

Full description

Bibliographic Details
Main Authors: Spiridon Kasapis, Irina N. Kitiashvili, Paul Kosovich, Alexander G. Kosovichev, Viacheslav M. Sadykov, Patrick O’Keefe, Vincent Wang
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Solar energetic particles
Solar storm
Solar particle emission
Support vector machine
Regression
Linear regression
Online Access:https://doi.org/10.3847/1538-4357/ad6f0e

Internet

https://doi.org/10.3847/1538-4357/ad6f0e

Similar Items