Astronomy and Astrophysics – Astrophysics
Scientific paper
2006-07-05
Astronomy and Astrophysics
Astrophysics
15 pages, 10 figures, 2 tables, revised version accepted for publication on A&A
Scientific paper
10.1051/0004-6361:20065942
In this paper we discuss the mix of star-forming and passive galaxies up to z~2, based on the first epoch VIMOS-VLT Deep Survey (VVDS) data.In agreement with previous works we find that the galaxy rest-frame color distribution follows a bimodal distribution at z<=1, and we establish that this bimodality holds up to z~2. The details of the rest-frame color distribution depend however on redshift and on galaxy luminosity: faint galaxies are bluer than the luminous ones over the whole redshift range of our data, and galaxies become bluer as redshift increases. This blueing trend does not depend, to a first approximation, on galaxy luminosity. Using our spectroscopic dataset we can also separate galaxies based on a star-formation, estimated combining the equivalent width of the [OII] emission line and the strength of the Dn(4000) break. The comparison between this spectral classification and the rest-frame colors shows that about 35-40 % of the red objects are star forming galaxies. Hence we conclude that the red sequence cannot be used to effectively isolate a sample of purely passively evolving objects within a cosmological survey. We also find that the color-magnitude relations derived for the color and for the spectroscopically selected early-type galaxies have remarkably similar properties, with the contaminating star-forming galaxies within the red sequence objects introducing no significant offset in the rest frame colors. Therefore the average color of the red objects does not appear to be a very sensitive indicator for measuring the evolution of the early-type galaxy population.Finally, we use the multi-band VVDS photometric data and SED fitting to derive multi-color galaxy types, which have a slightly higher efficiency than rest-frame color in isolating the passive, non star-forming galaxies within the VVDS sample.
Adami Chris
Arnaboldi Magda
Arnouts Stephane
Bardelli Sandro
Bolzonella Micol
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