4.7 Article

The size function of galaxy disks out to z∼1 from the Canada-France-Hawaii-Telescope Legacy Survey

Journal

ASTROPHYSICAL JOURNAL
Volume 682, Issue 2, Pages 907-918

Publisher

IOP PUBLISHING LTD
DOI: 10.1086/589765

Keywords

galaxies : evolution; galaxies : formation

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The formation and growth of galaxy disks over cosmic time is crucial to our understanding of galaxy formation. Despite steady improvements in the size and quality of disk samples over the last decade, many aspects of galaxy disk evolution remain unclear. Using 2 deg(2) of deep, wide-field i'-band imaging from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS), we compute size functions for 6000 disks from z = 0.2 to z = 1 and explore luminosity and number density evolution scenarios with an emphasis on the importance of selection effects on the interpretation of the data. We also compute the size function of a very large sample of disks from the Sloan Digital Sky Survey to use as a local ( z similar or equal to 0.1) comparison. CFHTLS size functions computed with the same fixed luminosity-size selection window at all redshifts exhibit evolution that appears to be best modeled by a pure number density evolution. The z = 0.3 size function is an excellent match to the z = 0.9 one if disks at the highest redshift are a factor of 2.5 more abundant than in the local universe. The SDSS size function would also match the z = 0.9 CFHTLS size function very well with a similar change in number density. On the other hand, the CFHTLS size functions computed with a varying luminosity-size selection window with redshift remain constant if the selection window is shifted by 1.0-1.5 mag toward fainter magnitudes with decreasing redshift. There is a weak dependence on disk scale length with smaller ( h less than or similar to 4 kpc) disks requiring more luminosity evolution than larger ones. Given that changes in number density are primarily due to mergers and that current estimates of merger rates below z = 1 are low, luminosity evolution appears to be a more plausible scenario to explain the observations.

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