4 citations · 5 across the 8 of their papers we have counts for
8 papers
Solar Orbiter SEP Dropout during a Magnetic Cloud with Evidence for Strong Connectivity Gradients
Radoslav Bucik, Raul Gomez-Herrero, Samuel T. Hart +2
We analyze an impulsive solar energetic particle (SEP) event observed by Solar Orbiter at 0.93 au on 2022 December 24 that exhibits a pronounced intensity dropout between approxima…
Helium-3 Enrichment in Gradual Solar Energetic Particle Events: Evidence for Jet-Supplied Seed Population
R. Bucik, S. T. Hart, M. A. Dayeh +3
Enhancements in 3He abundance, a characteristic feature of impulsive solar energetic particle (ISEP) events, are also frequently observed in gradual SEP (GSEP) events. Understandin…
Polytropic Behavior in Corotating Interaction Regions: Evidence of Alfvénic Heating
M. A. Dayeh, M. J. Starkey, G. Livadiotis +5
Corotating Interaction Regions (CIRs) are recurring structures in the solar wind, characterized by interactions between fast and slow solar wind streams that compress and heat plas…
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting
Maher A Dayeh, Michael J Starkey, Subhamoy Chatterjee +3
Space weather forecasting is critical for mitigating radiation risks in space exploration and protecting Earth-based technologies from geomagnetic disturbances. This paper presents…
Origin of 3He abundance enhancements in gradual solar energetic particle events
Radoslav Bucik, Samuel T. Hart, Maher A. Dayeh +3
We examined the origin of 3He abundance enhancement in 23 high-energy (25-50 MeV) solar proton events that coincide with 3He-rich periods detected by ACE ULEIS in 1997-2021. In sev…
MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
Kimberly Moreland, Maher Dayeh, Hazel M. Bain +3
We introduce a new multivariate data set that utilizes multiple spacecraft collecting in-situ and remote sensing heliospheric measurements shown to be linked to physical processes…
MEMPSEP I : Forecasting the Probability of Solar Energetic Particle Event Occurrence using a Multivariate Ensemble of Convolutional Neural Networks
Subhamoy Chatterjee, Maher Dayeh, Andrés Muñoz-Jaramillo +3
The Sun continuously affects the interplanetary environment through a host of interconnected and dynamic physical processes. Solar flares, Coronal Mass Ejections (CMEs), and Solar…
MEMPSEP II. -- Forecasting the Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
Maher A. Dayeh, Subhamoy Chatterjee, Andres Munoz-Jaramillo +3
Solar Energetic Particles (SEPs) form a critical component of Space Weather. The complex, intertwined dynamics of SEP sources, acceleration, and transport make their forecasting ve…