Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inference

arXiv:2608.26354 · astro-ph.CO, astro-ph.IM, cs.LG, physics.data-an · Submitted 2026-08-26 · Read on arXiv

astro-ph.CO, astro-ph.IM, cs.LG, physics.data-an

Submitted: 2026-08-26

Updated: 2026-08-26

Comments: 12 pages, 5 figures, prepared for submission to A&A

Code: https://github.com/heidelberg-hepml/skatr

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Calibration — 18× in this paper · explained in 7 episodes
• Foundation Model — 16× in this paper · explained in 3 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Domain Shift — 5× in this paper · explained in 4 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Joint Embedding Predictive Architecture — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Simulation-Based Inference (SBI) — 3× in this paper · explained in 3 episodes
• Simulation-based Inference — 3× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 3× in this paper · explained in 4 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Epoch of Reionization — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Square Kilometre Array — 2× in this paper
• Vision Transformer (ViT) — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes

Sources

• Investigating the Impact of Model Misspecification in Neural Simulation-based Inference
• Hybrid Summary Statistics
• The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
• AstroPT: Scaling Large Observation Models for Astronomy
• Reproducibility of machine learning analyses of 21 cm reionization maps
• Validating Bayesian Inference Algorithms with Simulation-Based Calibration

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