metadata
license: apache-2.0
tags:
- space-safety
- conjunction-assessment
- satellite-collision
- physics-informed
Panacea — Satellite Collision Avoidance Models
ML models for satellite conjunction assessment, trained on ESA Kelvins CDM dataset.
Models
| Model | File | AUC-PR | Description |
|---|---|---|---|
| Orbital Shell Baseline | baseline.json |
0.061 | Altitude-binned collision rates |
| XGBoost | xgboost.pkl |
0.988 | Gradient-boosted trees on CDM features |
| PI-TFT | transformer.pt |
0.511 | Physics-Informed Temporal Fusion Transformer |
Usage
from huggingface_hub import hf_hub_download
# Download PI-TFT model
path = hf_hub_download("DTanzillo/panacea-models", "transformer.pt")
checkpoint = torch.load(path, map_location="cpu", weights_only=False)
Weekly Fine-Tuning
The PI-TFT model is automatically fine-tuned weekly using Starlink maneuver detections as proxy training labels. See the Panacea repo for details.