PT Journal
AU Villanueva-Domingo, P
   Villaescusa-Navarro, F
   Genel, S
   Angles-Alcazar, D
   Hernquist, L
   Marinacci, F
   Spergel, DN
   Vogelsberger, M
   Narayanan, D
TI Weighing the Milky Way and Andromeda galaxies with artificial intelligence
SO Physical Review D
JI Phys. Rev. D
PY 2023
BP 103003
EP 8pp
VL 107
IS 10
DI 10.1103/PhysRevD.107.103003
LA English
AB 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 2,000 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, within our derived posterior standard deviation.
ER