AINeutralarXiv – CS AI · 10h ago6/10
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Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference
Researchers demonstrate that multifidelity simulation-based inference can extract cosmological information from weak lensing fields using fewer than 100 high-fidelity N-body simulations, achieving an order-of-magnitude reduction in computational cost. By pre-training neural models on fast, low-fidelity simulations and fine-tuning on expensive high-fidelity runs, the method enables field-level cosmological inference that captures substantially more information than traditional two-point statistics.