22 citations · 47 across the 11 of their papers we have counts for
5 papers · 1 filter
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
Evidence of energy conversion in weakly collisional plasma during an interplanetary coronal mass ejection
Omkar Dhamane, Anil Raghav, Simone Benella +14
Intervals of enhanced turbulent fluctuations are typically less frequent within the magnetic cloud region of an interplanetary coronal mass ejection (ICME). We investigate two such…
Predicting the energetic proton flux with a machine learning regression algorithm
Mirko Stumpo, Monica Laurenza, Simone Benella +1
The need of real-time of monitoring and alerting systems for Space Weather hazards has grown significantly in the last two decades. One of the most important challenge for space mi…
Disentangling the solar activity-solar wind predictive causality at Space Climate scales
Raffaele Reda, Mirko Stumpo, Luca Giovannelli +2
The variability in the magnetic activity of the Sun is the main source of the observed changes in the plasma and electromagnetic environments within the heliosphere. The primary wa…
Reconciling Parker Solar Probe observations and magnetohydrodynamic theory
Tommaso Alberti, Simone Benella, Giuseppe Consolini +2
The Parker Solar Probe mission provides a unique opportunity to characterize several features of the solar wind at different heliocentric distances. Recent findings have shown a tr…