MISSION 002
Physics-Informed Solar Flare Forecasting
An AI research project exploring how physics-informed learning and explainable AI can improve solar flare nowcasting and forecasting using Aditya-L1 observations.
STATUS: RESEARCH / DEVELOPMENT
TECH STACK
- Python
- Scientific Machine Learning
- PINNs
- XAI
- Time-Series Modeling
- SoLEXS
- HEL1OS
MISSION BRIEF
Combines soft and hard X-ray measurements to describe both thermal plasma evolution and non-thermal particle acceleration.
Physics constraints are embedded in the loss function so forecasts remain consistent with known flare energetics.
PIPELINE
- 01Aditya-L1 observations
- 02SoLEXS + HEL1OS X-ray data
- 03Physics-informed model
- 04Explainable forecast + uncertainty