Weighing the Milky Way and Andromeda with Artificial Intelligence [GA]

http://arxiv.org/abs/2111.14874


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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P. Villanueva-Domingo, F. Villaescusa-Navarro, S. Genel, et. al.
Wed, 1 Dec 21
107/110

Comments: 2 figures, 2 tables, 7 pages. Code publicly available at this https URL