The stellar mass function and star formation rate–stellar mass relation of galaxies at z ∼ 4–7
We investigate the evolution of the star formation rate–stellar mass relation (SFR–M ⋆) and galaxy stellar mass function (GSMF) of z ∼ 4–7 galaxies, using cosmological simulations run with the smoothed particle hydrodynamics code P-GADGET3(XXL). We explore the effects of different feedback prescript...
Gespeichert in:
Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2015-04, Vol.448 (4), p.3001-3021 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | We investigate the evolution of the star formation rate–stellar mass relation (SFR–M
⋆) and galaxy stellar mass function (GSMF) of z ∼ 4–7 galaxies, using cosmological simulations run with the smoothed particle hydrodynamics code P-GADGET3(XXL). We explore the effects of different feedback prescriptions (supernova-driven galactic winds and AGN feedback), initial stellar mass functions and metal cooling. We show that our fiducial model, with strong energy-driven winds and early active galactic nuclei (AGN) feedback, is able to reproduce the observed stellar mass function obtained from Lyman-break selected samples of star-forming galaxies at redshift 6 ≤ z ≤ 7. At z ∼ 4, observed estimates of the GSMF vary according to how the sample was selected. Our simulations are more consistent with recent results from K-selected samples, which provide a better proxy of stellar masses and are more complete at the high-mass end of the distribution. We find that in some cases simulated and observed SFR–M
⋆ relations are in tension, and this can lead to numerical predictions for the GSMF in excess of the GSMF observed. By combining the simulated SFR(M
⋆) relationship with the observed star formation rate function at a given redshift, we argue that this disagreement may be the result of the uncertainty in the SFR–M
⋆ (L
UV–M
⋆) conversion. Our simulations predict a population of faint galaxies not seen by current observations. |
---|---|
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/stv160 |