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20242026
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astro-ph.SR2026

SWAN-SF-V2: A Multivariate Time Series Dataset for Space Weather Data Analytics; Now with AIA and Weighted SHARP Parameters

Dustin Kempton, Griffin Goodwin, Reet Gupta +4

Since its original publication in 2020, the SWAN-SF dataset has been cited in over 300 research publications. Here we describe a comprehensive update to the original multivariate t…

astro-ph.SR2026

Improving Solar Flare Soft X-ray Classification With FOXES: A Framework For Operational X-ray Emission Synthesis

Griffin T. Goodwin, Alison J. March, Jayant Biradar +5

The Geostationary Operational Environmental Satellite (GOES) solar soft X-ray (SXR) irradiance in the 1-8Å wavelength range is a long-standing measure of solar activity, used to de…

astro-ph.SR2025

FOXES: A Framework For Operational X-ray Emission Synthesis

Griffin T. Goodwin, Jayant Biradar, Alison J. March +4

Understanding solar flares is critical for predicting space weather, as their activity shapes how the Sun influences Earth and its environment. The development of reliable forecast…

astro-ph.SR2025

Operational and Exploration Requirements and Research Capabilities for SEP Environment Monitoring and Forecasting

Viacheslav Sadykov, Petrus Martens, Dustin Kempton +15

Mitigating risks posed by solar energetic particles (SEPs) to operations and exploration in space and Earth's atmosphere motivates the development of advanced, synergistic approach…

astro-ph.SR2025

The Impacts of Magnetogram Projection Effects on Solar Flare Forecasting

Griffin T. Goodwin, Viacheslav M. Sadykov, Petrus C. Martens

This work explores the impacts of magnetogram projection effects on machine learning-based solar flare forecasting models. Utilizing a methodology proposed by Falconer et al. (2016…

astro-ph.SR2024

Investigating Performance Trends of Simulated Real-time Solar Flare Predictions: The Impacts of Training Windows, Data Volumes, and the Solar Cycle

Griffin T. Goodwin, Viacheslav M. Sadykov, Petrus C. Martens

This study explores the behavior of machine learning-based flare forecasting models deployed in a simulated operational environment. Using Georgia State University's Space Weather…