The WiggleZ Dark Energy Survey: star formation in UV-luminous galaxies from their luminosity functions

Jurek, Russell J., Drinkwater, Michael J., Pimbblet, Kevin, Glazebrook, Karl, Blake, Chris, Brough, Sarah, Colless, Matthew, Contreras, Carlos, Couch, Warrick, Croom, Scott, Croton, Darren, Davis, Tamara M., Forster, Karl, Gilbank, David, Gladders, Mike, Jelliffe, Ben, Li, I-hui, Madore, Barry, Martin, D. Christopher, Poole, Gregory B., Pracy, Michael, Sharp, Rob, Wisnioski, Emily, Woods, David, Wyder, Ted K. and Yee, H. K. C. (2013) The WiggleZ Dark Energy Survey: star formation in UV-luminous galaxies from their luminosity functions. Monthly Notices of the Royal Astronomical Society, 434 1: 257-281. doi:10.1093/mnras/stt1015

Author Jurek, Russell J.
Drinkwater, Michael J.
Pimbblet, Kevin
Glazebrook, Karl
Blake, Chris
Brough, Sarah
Colless, Matthew
Contreras, Carlos
Couch, Warrick
Croom, Scott
Croton, Darren
Davis, Tamara M.
Forster, Karl
Gilbank, David
Gladders, Mike
Jelliffe, Ben
Li, I-hui
Madore, Barry
Martin, D. Christopher
Poole, Gregory B.
Pracy, Michael
Sharp, Rob
Wisnioski, Emily
Woods, David
Wyder, Ted K.
Yee, H. K. C.
Title The WiggleZ Dark Energy Survey: star formation in UV-luminous galaxies from their luminosity functions
Journal name Monthly Notices of the Royal Astronomical Society   Check publisher's open access policy
ISSN 0035-8711
Publication date 2013-09-01
Year available 2013
Sub-type Article (original research)
DOI 10.1093/mnras/stt1015
Open Access Status DOI
Volume 434
Issue 1
Start page 257
End page 281
Total pages 25
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract We present the ultraviolet (UV) luminosity function of galaxies from the GALEX Medium Imaging Survey with measured spectroscopic redshifts from the first data release of the WiggleZ Dark Energy Survey. Our sample consists of 39 996 NUV < 22.8 emission line galaxies in the redshift range 0.1 < z < 0.9. This sample selects galaxies with high star formation rates: at 0.6 < z < 0.9 the median star formation rate is at the upper 95th percentile of optically selected (r < 22.5) galaxies and the sample contains about 50 per cent of all NUV < 22.8, 0.6 < z < 0.9 starburst galaxies within the volume sampled. The most luminous galaxies in our sample ( - 21.0 > M-NUV > -22.5) evolve very rapidly with a number density declining as (1 + z)(5 +/- 1) from redshift z = 0.9 to 0.6. These starburst galaxies (M-NUV < -21 is approximately a star formation rate of 30 M-circle dot yr(-1)) contribute about 1 per cent of cosmic star formation over the redshift range z = 0.6-0.9. The star formation rate density of these very luminous galaxies evolves rapidly, as (1 + z)(4 +/- 1). Such a rapid evolution implies that the majority of star formation in these large galaxies must have occurred before z = 0.9. We measure the UV luminosity function in delta z = 0.05 redshift intervals spanning 0.1 < z < 0.9, and provide analytic fits to the results. Our measurements of the luminosity function over this redshift range probe further into the bright end (1-2 mag further) than previous measurements, e.g. Arnouts et al., Budavari et al. and Treyer et al., due to our much larger sample size and sampled volume. At all redshifts z > 0.55 we find that the bright end of the luminosity function is not well described by a pure Schechter function due to an excess of very luminous (M-NUV < -22) galaxies. These luminosity functions can be used to create a radial selection function for the WiggleZ survey or test models of galaxy formation and evolution. Here we test the AGN feedback model in Scannapieco, Silk & Bouwens, and find that this AGN feedback model requires AGN feedback efficiency to vary with one or more of the following: stellar mass, star formation rate and redshift.
Keyword Galaxies
Mass Function
Aegis Field Galaxies
Forming Galaxies
Starburst Galaxies
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP0772084
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
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