Galactic archaeology with extended distribution function modelling
Payel Das (University of Surrey)
Gaia and a myriad of breathtaking ground-based spectroscopic surveys have placed high-dimensional chemokinematic data of millions of Milky Way stars at our doorstep but a challenge still remains in how to interpret them. The colour-magnitude selection of stars can significantly distort the observed stellar distribution in age, metallicity, and age. I will present how extended distribution function (eDF) modelling can be used to reveal the intrinsic distribution of the stars so that we can constrain the evolutionary history and dark matter content in the Milky Way.