22 citations · 37 across the 7 of their papers we have counts for
5 papers · 1 filter
Prediction of Solar Proton Events with Machine Learning: Comparison with Operational Forecasts and "All-Clear" Perspectives
Viacheslav Sadykov, Alexander Kosovichev, Irina Kitiashvili +7
Solar Energetic Particle events (SEPs) are among the most dangerous transient phenomena of solar activity. As hazardous radiation, SEPs may affect the health of astronauts in outer…
Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite
Viacheslav M Sadykov, Irina N Kitiashvili, Alberto Sainz Dalda +3
In this study we extract the deep features and investigate the compression of the Mg II k spectral line profiles observed in quiet Sun regions by NASA's IRIS satellite. The data se…
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38
The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…
Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System
Gelu Nita, Rafal Angryk, Berkay Aydin +44
The authors of this report met on 28-30 March 2018 at the New Jersey Institute of Technology, Newark, New Jersey, for a 3-day workshop that brought together a group of data provide…
Interactive Multi-Instrument Database of Solar Flares
Viacheslav M Sadykov, Alexander G Kosovichev, Vincent Oria +1
Solar flares are complicated physical phenomena that are observable in a broad range of the electromagnetic spectrum, from radiowaves to -rays. For a more comprehensive understa…