Kavli Affiliate: David N. Spergel
| First 5 Authors: Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lars Hernquist
| Summary:
We present new constraints on the masses of the halos hosting the Milky Way
and Andromeda galaxies derived using graph neural networks. Our models, trained
on thousands of state-of-the-art hydrodynamic simulations of the CAMELS
project, only make use of the positions, velocities and stellar masses of the
galaxies belonging to the halos, and are able to perform likelihood-free
inference on halo masses while accounting for both cosmological and
astrophysical uncertainties. Our constraints are in agreement with estimates
from other traditional methods.
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