6 papers
Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach
Anli Ji, Pranjal Patil, Chetraj Pandey +2
Solar energetic particle (SEP) events, as one of the most prominent manifestations of solar activity, can generate severe hazardous radiation when accelerated by solar flares or sh…
Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction
Chetraj Pandey, Jinsu Hong, Anli Ji +2
The prediction of solar flares is typically formulated as a binary classification task, distinguishing events as either Flare (FL) or No-Flare (NF) according to a specified thresho…
Surya: Foundation Model for Heliophysics
Sujit Roy, Johannes Schmude, Rohit Lal +30
Heliophysics is central to understanding and forecasting space weather events and solar activity. Despite decades of high-resolution observations from the Solar Dynamics Observator…
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
Sujit Roy, Dinesha V. Hegde, Johannes Schmude +22
This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA's Solar Dynamics Observatory (SDO), specifically designed to advance machine…
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
Accurate and reliable predictions of solar flares are essential due to their potentially significant impact on Earth and space-based infrastructure. Although deep learning models h…
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
Anli Ji, Chetraj Pandey, Berkay Aydin
Traditional solar flare forecasting approaches have mostly relied on physics-based or data-driven models using solar magnetograms, treating flare predictions as a point-in-time cla…