31 citations · 61 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
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…
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
This study aims to evaluate the performance of deep learning models in predicting M-class solar flares with a prediction window of 24 hours, using hourly sampled full-disk li…
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
Chetraj Pandey, Anli Ji, Trisha Nandakumar +2
This study progresses solar flare prediction research by presenting a full-disk deep-learning model to forecast M-class solar flares and evaluating its efficacy on both centr…