MaNGA DynPop: Dynamics and Stellar Population Analysis for 10K Nearby Galaxies


Stellar dynamics provides robust constraints on the galaxies’ total mass distributions and further on the properties of their host dark matter halos, while the stellar population properties encode key information on the physical processes involving baryonic matter. Thus the combination of the two methods offers a novel view on galaxy formation and evolution. Using the largest nearby galaxy sample (~10000 galaxies) with integral-field spectroscopic observations, MaNGA, we obtain the catalogues of dynamical and stellar population properties, which are derived from the well-established Jeans Anisotropic Modeling (JAM) and Stellar Population Synthesis (SPS) methods, respectively. Combining the two catalogues, we are able to present accurate dynamical scaling relations (e.g. the fundamental plane, mass plane, total M/L, total density slopes, dark matter fractions, and mass-size plane) and stellar population scaling relations (e.g. the global properties, gradients, and non-parametric star formation histories), as well as the interrelation between them, for a representative sample of nearby galaxies. Specifically, we use the JAM-based and SPS-based stellar mass-to-light ratios to explore the initial mass function (IMF) variations between different galaxies. Moreover, we combine stellar dynamics and weak lensing to constrain the radial density profiles of galaxy groups/clusters from several kpc to Mpc scales. By comparing with the simulated galaxies, we can enhance our understanding of the physical origin and evolutionary path of galactic properties, such as the total density slopes.

Dr. Kai Zhu (朱凯), Tsinghua University
KIAA Shu Qi meeting room
Tuesday, May 28, 2024 - 1:30PM to Tuesday, May 28, 2024 - 2:30PM