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Galaxy And Mass Assembly (GAMA): The galaxy stellar mass function to z=0.1z=0.1 from the r-band selected equatorial regions

A. Wright,A. Wright,27 Authors,S. Wilkins

2017 · DOI: 10.1093/mnras/stx1149
80 Citations

Abstract

We derive the low redshift galaxy stellar mass function (GSMF), inclusive of dust corrections, for the equatorial Galaxy And Mass Assembly (GAMA) dataset covering 180 deg2^2. We construct the mass function using a density-corrected maximum volume method, using masses corrected for the impact of optically thick and thin dust. We explore the galactic bivariate brightness plane (M⋆−μM_\star-\mu), demonstrating that surface brightness effects do not systematically bias our mass function measurement above 107.5^{7.5} M⊙_{\odot}. The galaxy distribution in the M−μM-\mu-plane appears well bounded, indicating that no substantial population of massive but diffuse or highly compact galaxies are systematically missed due to the GAMA selection criteria. The GSMF is {fit with} a double Schechter function, with M⋆=1010.78±0.01±0.20M⊙\mathcal M^\star=10^{10.78\pm0.01\pm0.20}M_\odot, ϕ1⋆=(2.93±0.40)×10−3h703\phi^\star_1=(2.93\pm0.40)\times10^{-3}h_{70}^3Mpc−3^{-3}, α1=−0.62±0.03±0.15\alpha_1=-0.62\pm0.03\pm0.15, ϕ2⋆=(0.63±0.10)×10−3h703\phi^\star_2=(0.63\pm0.10)\times10^{-3}h_{70}^3Mpc−3^{-3}, and α2=−1.50±0.01±0.15\alpha_2=-1.50\pm0.01\pm0.15. We find the equivalent faint end slope as previously estimated using the GAMA-I sample, although we find a higher value of M⋆\mathcal M^\star. Using the full GAMA-II sample, we are able to fit the mass function to masses as low as 107.510^{7.5} M⊙M_\odot, and assess limits to 106.510^{6.5} M⊙M_\odot. Combining GAMA-II with data from G10-COSMOS we are able to comment qualitatively on the shape of the GSMF down to masses as low as 10610^{6} M⊙M_\odot. Beyond the well known upturn seen in the GSMF at 109.510^{9.5} the distribution appears to maintain a single power-law slope from 10910^9 to 106.510^{6.5}. We calculate the stellar mass density parameter given our best-estimate GSMF, finding Ω⋆=1.66−0.23+0.24±0.97h70−1×10−3\Omega_\star= 1.66^{+0.24}_{-0.23}\pm0.97 h^{-1}_{70} \times 10^{-3}, inclusive of random and systematic uncertainties.