Galaxy clustering in a new implementation of the GAEA semi-analytical galaxy formation model

We present results from the latest version of the GAEA model of galaxy formation coupled with merger trees extracted from the P-Millennium Simulation (PMS), which provides a better mass resolution, a larger volume and assumes cosmological parameters consistent with latest results from the Planck mission. The model includes, at the same time, a treatment for the partition of cold gas into atomic and molecular (H$_2$) components; a better treatment for environmental processes acting on satellite galaxies; an updated modelling of cold gas accretion on Super-Massive Black Hole and relative AGN feedback on the host galaxy. We compare GAEA predictions based on the PMS, with model realizations based on other simulations in the Millennium Suite at different resolution, showing that the new model provides a remarkable consistency in the statistical properties of galaxy populations. We interpret this as due to the interplay between AGN feedback and H$_2$-based SFR (both acting as regulators of the cold gas content). We then compare model predictions with available data for the galaxy 2-point correlation function (2pCF) in the redshift range 0<z<3. We show that GAEA runs are able to correctly recover the main dependencies of the 2pCF as a function of stellar mass (M$_\star$), star formation activity, HI-content and redshift for M$_\star$ < 10$^{11}$ M$_\odot$ galaxies. Our model correctly captures both the distribution of galaxy populations in the Large Scale Structure and the interplay between the main physical processes regulating their baryonic content, both for central and satellite galaxies. At larger stellar masses GAEA underpredicts the 2pCF amplitude, suggesting that model massive galaxies live in less massive dark matter haloes. The model predicts a rather small redshift evolution of the clustering amplitude up to z$\sim$3, consistent with available observational evidence.
Comment: 10 Pages, 5 figures, 2 tables, 1 appendix - A&A submitted