DTanzillo/panacea-models

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.