Inferring the stellar and dark matter mass distribution from the stellar kinematics data
Lead Research Organisation:
University College London
Department Name: Mullard Space Science Laboratory
Abstract
The European Space Agency (ESA)'s Gaia mission is currently producing the unprecedented amount and accuracy of the stellar astrometry data. Such large amount of the accurate stellar kinematics data enable us to reconstruct the gravitational potential of the Milky Way and dwarf galaxies. In the near future, the recently selected Japanese small JASMINE mission, which is the Gaia-level high-precision astrometry mission in Near-InfraRed (NIR), but focuses on the Galactic centre, will produce the accurate stellar kinematics data in the Galactic nuclear region, which will allow us to infer the gravitational potential of the Galactic central region, too. We will develop an advanced dynamical model to reconstruct the mass distribution from the stellar kinematics data in the Galactic centre and dwarf galaxies, using the made-to-measure (M2M) scheme, which allows to model both the stellar and dark matter mass distribution. First, by applying the model to the mock data, we will validate the model. Then, we will apply the technique to the real data, such as the Gaia and Hubble Space Telescope proper motion data and ground-based spectroscopic data, and reveal both the stellar and dark matter distribution.
Organisations
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/S50578X/1 | 01/10/2018 | 30/09/2022 | |||
2235319 | Studentship | ST/S50578X/1 | 01/10/2019 | 31/03/2023 | Firat Toguz |
ST/T506485/1 | 01/10/2019 | 30/09/2023 | |||
2235319 | Studentship | ST/T506485/1 | 01/10/2019 | 31/03/2023 | Firat Toguz |