research
One GPU Painted Missing Baryons in Minutes
BIND learned field-level gas, star and dark-matter structure across a 35-dimensional simulation space.
Summary
BIND learned field-level gas, star and dark-matter structure across a 35-dimensional simulation space.
Weak-lensing forecasts need the way gas and stars reshape matter, but full hydrodynamic simulations are expensive. BIND learns to map dark-matter-only halos to dark matter, gas and stellar fields using 1,024 paired CAMELS simulations spanning cosmology and galaxy-formation parameters. The authors report percent-level mass recovery, radial profiles within roughly 10%, and preserved shape and residual relationships without giving the model halo mass as an input. Applied halo by halo to a 512-cubed-particle volume, it reproduced projected power suppression in minutes on one GPU.
Why it matters
BIND learned field-level gas, star and dark-matter structure across a 35-dimensional simulation space.
Limits and context
- BIND learns to map dark-matter-only halos to dark matter, gas and stellar fields using 1,024 paired CAMELS simulations spanning cosmology and galaxy-formation parameters.
Key claims
BIND learned field-level gas, star and dark-matter structure across a 35-dimensional simulation space.
Qualification: BIND learns to map dark-matter-only halos to dark matter, gas and stellar fields using 1,024 paired CAMELS simulations spanning cosmology and galaxy-formation parameters.
Evidence: source-2026-09-12-014
Sources
- arXiv preprint 2609.10709arXiv · primary research
Corrections
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