Paco tells us about how CAMELS have used machine learning to be able to predict, with a single galaxy’s properties, the value of Ωm used to simulate the galaxy.

This is fascinating and if a real physical effect has some far-reaching consequences.

– We might one day be able to learn cosmological parameters by studying the Milky Way
– Running a hydrodynamical simulation with the wrong Ωm would mean, in principle, that you’ll never reproduce the exact properties of a galaxy correctly.

CAMELS: https://www.camel-simulations.org/
Paco: https://franciscovillaescusa.github.io/
Paper: https://arxiv.org/abs/2201.02202

CAMELS series overview: https://www.youtube.com/watch?v=6Vgc72a_VpY&t=0s
Playlist of CAMELS video series: https://www.youtube.com/playlist?list=PLvy7h0l2rJHq03inVPqYnC3llKt0IwwLT