Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination

1. 1Formulate the orbit determination problem as conditional density estimation
2. 2Train a normalizing flow on perturbed topocentric observations
3. 3Apply physics-informed constraints to the flow model
4. 4Evaluate the performance of the model on short observation arcs
5. 5Refine the model using additional data or observations

Astrodynamics researchers and engineers benefit from this technique, as it improves orbit determination accuracy in cislunar environments, while data scientists and machine learning engineers can apply similar methods to other complex systems

💡 Physics-informed normalizing flows can effectively estimate initial states from angles-only measurements, even with short observation arcs

🚀 Improve orbit determination in cislunar environments with physics-informed conditional normalizing flows!