6 papers
Uncertainty-Aware Solar Flare Regression
Jinsu Hong, Chetraj Pandey, Berkay Aydin
Current solar flare predictions often lack precise quantification of their reliability, resulting in frequent false alarms, particularly when dealing with datasets skewed towards e…
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…