Speaker
Fabio Iocco
(Università di Napoli "Federico II")
Description
In the first part of this talk, I will discuss the impact of Gaia data on determining the dark matter distribution of our host galaxy, the Milky Way, presenting state-of-the-art results based on the latest data within a framework that has been tested over the past decade.
In the second part, I will introduce a recently developed machine learning method designed to infer the dark matter distribution in external galaxies. I will highlight how algorithms trained on synthetic galaxies within cosmological simulations can achieve a high level of accuracy, potentially providing a viable alternative to the traditional Rotation Curve method.
Author
Fabio Iocco
(Università di Napoli "Federico II")