A physically motivated dust model across cosmic time: Initial results
Scott Clay
University of Sussex
Peter Thomas (Sussex), Steve Wilkins (Sussex), Rob Yates (MPE), Bruno Henriques (ETH, Zurich)
Semi-analytical models (SAMs) combine dark matter only simulations of structure formation with analytical prescriptions of the various physical processes responsible for shaping the formation and evolution of galaxies.

The latest version of the Munich model (Henriques2015) has been shown to succesfully reproduce several observational properties, including the stellar mass, and luminosity function, both in the local Universe but also out to z=3. However, the model doesn't reproduce the UV luminosity function at higher redshifts, due to the model over predicting the amount of dust in these galaxies. We have added a new and physically motivated dust model that traces the dust masses of several dust species (iron, carbon, silicates and silicon carbide), as well as different formation (AGB winds, supernovae, dust growth in molecular clouds), and destruction processes (supernovae and dust destroyed in star formation).

We present our initial results and compare them with the latest observational data.