collaborators

6 papers

astro-ph.IM2026

Describing the swdatatoolkit: A Space Weather Data Analysis Library

Dustin Kempton, Griffin Goodwin, Tarun Kumar Reddy Thippareddy +3

swdatatoolkit is a Python-based scientific software library designed to support the acquisition, preprocessing, and analysis of solar and space weather data. The toolkit consolidat…

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 1-8Ã wavelength range is a long-standing measure of solar activity, used to de…

physics.ao-ph2026

Machine Learning-Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes

Viacheslav M Sadykov, Zachary M Watkins, Dustin Kempton +10

Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this…

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…