2 papers
astro-ph.CO2025
Hybrid Physical-Neural Simulator for Fast Cosmological Hydrodynamics
Arne Thomsen, Tilman Tröster, François Lanusse
Cosmological field-level inference requires differentiable forward models that solve the challenging dynamics of gas and dark matter under hydrodynamics and gravity. We propose a h…
astro-ph.CO2025
Bridging Simulators with Conditional Optimal Transport
Justine Zeghal, Benjamin Remy, Yashar Hezaveh +2
We propose a new field-level emulator that bridges two simulators using unpaired simulation datasets. Our method leverages a flow-based approach to learn the likelihood transport f…