9 papers
Supergranulation as a Tracer of Solar-Cycle Variability
Irina N. Kitiashvili, Andrew A. Ngo, Spiridon Kasapis
Supergranulation is one of the dominant scales of near-surface solar convection and provides an important diagnostic for studying the interaction between convective flows, rotation…
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…
Prediction of Magnetic Flux Evolution During Solar Active Region Emergence using Long Short-Term Memory Networks
Eren Dogan, Spiridon Kasapis, Sarang Patil +5
Solar active regions (ARs) are the primary drivers of space weather events, making their early prediction crucial for operational forecasting systems. We develop machine learning m…
Parker Solar Probe observations of solar energetic particle (SEP) events with inverse velocity arrival (IVA) features
Zigong Xu, C. M. S. Cohen, R. A. Leske +21
In SEP events, velocity dispersion (VD) is characterized by the earlier arrival of faster, higher-energy particles relative to slower ones, assuming negligible acceleration time an…
SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions
Spiridon Kasapis, Eren Dogan, Irina N. Kitiashvili +6
The development of accurate forecasts of solar eruptive activity has become increasingly important for preventing potential impacts on space technologies and exploration. Therefore…
Forecasting Continuum Intensity for Solar Active Region Emergence Prediction using Transformers
Jonas Tirona, Sarang Patil, Spiridon Kasapis +5
Early and accurate prediction of solar active region (AR) emergence is crucial for space weather forecasting. Building on established Long Short-Term Memory (LSTM) based approaches…