MNRAS-2014-McNaught-Roberts-2125-45.pdf (7.78 MB)
Galaxy And Mass Assembly (GAMA): the dependence of the galaxy luminosity function on environment, redshift and colour
journal contribution
posted on 2023-06-08, 21:14 authored by Tamsyn McNaught-Roberts, Peder Norberg, Carlton Baugh, Cedric Lacey, Jonathan LovedayJonathan Loveday, J. Peacock, I. Baldry, J. Bland-Hawthorn, S. Brough, Simon P Driver, A. S. G. Robotham, J. A. Vázquez-MataWe use 80 922 galaxies in the Galaxy And Mass Assembly (GAMA) survey to measure the galaxy luminosity function (LF) in different environments over the redshift range 0.04 < z < 0.26. The depth and size of GAMA allows us to define samples split by colour and redshift to measure the dependence of the LF on environment, redshift and colour. We find that the LF varies smoothly with overdensity, consistent with previous results, with little environmental dependent evolution over the last 3 Gyr. The modified GALFORM model predictions agree remarkably well with our LFs split by environment, particularly in the most overdense environments. The LFs predicted by the model for both blue and red galaxies are consistent with GAMA for the environments and luminosities at which such galaxies dominate. Discrepancies between the model and the data seen in the faint end of the LF suggest too many faint red galaxies are predicted, which is likely to be due to the over-quenching of satellite galaxies. The excess of bright blue galaxies predicted in underdense regions could be due to the implementation of AGN feedback not being sufficiently effective in the lower mass haloes.
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Publication status
- Published
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- Published version
Journal
Monthly Notices of the Royal Astronomical SocietyISSN
0035-8711Publisher
Oxford University PressExternal DOI
Issue
2Volume
445Page range
2125-2145Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2015-06-24First Open Access (FOA) Date
2015-06-24First Compliant Deposit (FCD) Date
2015-06-24Usage metrics
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