Graviationall dynamical modelling uses kinematic data to infer the mass
distribution in galaxies (including the Milky Way). The most important
applicaiton is to figure out how dark matter is distributed in galaxies
and how they are related to the stellar mass distribution.
There are also curious scaling relations in galaxies, for example
the masses of central supermassive black
holes are tightly correlated with
the velocity dispersions of galaxies. How do these correlations arise
and what do they mean for galaxy formation are important issues that
need to be understood, an area of research we are putting a lot of resources on.
I. Dynamics of the Milky Way
The arrival of GAIA is going to revolutionise the study of the Milky
Way. In the interim, we are using data from the LAMOST survey to infer
the local dark matter distribution and velocity substructures. We are also
trying to understand the parameters for the bar in the Milky Way.
II. Dynamics of nearby galaxies
With my students and postdocs, and as a consortium member of the SDSS-IV,
we are studying the dynamics of nearby
galaxies using the
MaNGA survey
which will eventually produce
Integral Field Unit (IFU) data for 10,000 galaxies. We are currently
studying the initial mass function of galaxies and also the
chemo-dynamical correlation of galaxies.