31 citations · 61 across the 15 of their papers we have counts for
15 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…
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…
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
Chetraj Pandey, Anli Ji, Jinsu Hong +2
In this paper, we propose a novel loss function aimed at optimizing the binary flare prediction problem by embedding the intrinsic ordinal flare characteristics into the binary cro…
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches
Chetraj Pandey, Temitope Adeyeha, Jinsu Hong +2
In this paper, we introduce a novel methodology for leveraging shape-based characteristics of magnetograms of active region (AR) patches and provide a novel capability for predicti…
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…
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks
Chetraj Pandey, Anli Ji, Rafal A. Angryk +1
Solar flare prediction is a central problem in space weather forecasting and recent developments in machine learning and deep learning accelerated the adoption of complex models fo…
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…
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis +1
This paper presents a post hoc analysis of a deep learning-based full-disk solar flare prediction model. We used hourly full-disk line-of-sight magnetogram images and selected bina…
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
This paper contributes to the growing body of research on deep learning methods for solar flare prediction, primarily focusing on highly overlooked near-limb flares and utilizing t…
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting
Chetraj Pandey, Anli Ji, Rafal A. Angryk +2
Solar flare prediction is a central problem in space weather forecasting and has captivated the attention of a wide spectrum of researchers due to recent advances in both remote se…