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We study the role of feedback from supernovae and black holes in theevolution of the star formation rate function (SFRF) of z~4-7 galaxies. We usea new set of cosmological hydrodynamic simulations, ANGUS (AustraliaN GADGET-3early Universe Simulations), run with a modified and improved version of theparallel TreePM-smoothed particle hydrodynamics code GADGET-3 calledP-GADGET3(XXL), that includes a self-consistent implementation of stellarevolution and metal enrichment. In our simulations both Supernova (SN) drivengalactic winds and Active Galactic Nuclei (AGN) act simultaneously in a complexinterplay. The SFRF is insensitive to feedback prescription at z>5, meaningthat it cannot be used to discriminate between feedback models duringreionisation. However, the SFRF is sensitive to the details of feedbackprescription at lower redshift. By exploring different SN driven windvelocities and regimes for the AGN feedback, we find that the key factor forreproducing the observed SFRFs is a combination of "strong" SN winds and earlyAGN feedback in low mass galaxies. Conversely, we show that the choice ofinitial mass function and inclusion of metal cooling have less impact on theevolution of the SFRF. When variable winds are considered, we find that anon-aggressive wind scaling is needed to reproduce the SFRFs at z>4. Otherwise,the amount of objects with low SFRs is greatly suppressed and at the same timewinds are not effective enough in the most massive systems.

Simulated star formation rate functions at z~4-7, and the role of feedback in high-z galaxies