Modelling galaxy clustering of SF samples in the non-linear regime

Sara Ortega-Martinez, Sergio Contreras, Raul Angulo


With several upcoming galaxy surveys with star-formation-like target galaxy samples (DESI, EUCLID, J-PASS, 4MOS, etc.), it is essential to have accurate galaxy population models that can replicate their galaxy clustering. We present a new semi-empirical model that can reproduce the real and redshift space clustering of star-forming galaxies for scales up to 0.1 Mpc/h. The model can be executed in a few seconds on a (200 Mpc/h)$^3$ dark matter-only simulation (excluding reading times). To evaluate its performance, we compared it with the projected correlation function, monopole, and quadrupole of the TNG300 magneto-hydrodynamic simulation at two redshifts and various number densities and found excellent agreement in every instance. Due to the adaptability of our model, they can be utilised for a variety of purposes, such as the creation of covariance matrices or the constraints of cosmological parameters derived from the clustering of this new generation of galaxy surveys.