TY  - JOUR
AU  - Villanueva-Domingo, P.
AU  - Villaescusa-Navarro, F.
AU  - Genel, S.
AU  - Angles-Alcazar, D.
AU  - Hernquist, L.
AU  - Marinacci, F.
AU  - Spergel, D. N.
AU  - Vogelsberger, M.
AU  - Narayanan, D.
PY  - 2023
DA  - 2023//
TI  - Weighing the Milky Way and Andromeda galaxies with artificial intelligence
T2  - Phys. Rev. D
JO  - Physical Review D
SP  - 103003
EP  - 8pp
VL  - 107
IS  - 10
PB  - Amer Physical Soc
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.
SN  - 2470-0010
UR  - https://arxiv.org/abs/2111.14874
UR  - https://doi.org/10.1103/PhysRevD.107.103003
DO  - 10.1103/PhysRevD.107.103003
LA  - English
N1  - WOS:000988340900001
ID  - Villanueva-Domingo_etal2023
ER  -