Speaker: Daniel Goddard
The current paradigm of galaxy formation suggests that galaxies form via hierarchical merging in a lambda-CDM framework. As a consequence of structure growth in the universe, galaxies today live in a plethora of different conditions and are exposed to a wide range of interactions which depend on their local environment. We investigate to what extent environment impacts the stellar population gradients in nearby galaxies using the new spectroscopic survey MaNGA as part of SDSS-IV. This data set allows us to simultaneously resolve the inside of galaxies together with a statistically meaningful sampling of galaxy environment. By using state of the art stellar population models and full spectral fitting, we address how gradients in age and metallicity scale with mass, type and environment, and how these compare to predictions from simulations.