Issue |
A&A
Volume 501, Number 1, July I 2009
|
|
---|---|---|
Page(s) | 15 - 20 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/200911650 | |
Published online | 29 April 2009 |
The fraction of quiescent massive galaxies in the early Universe
1
INAF – Osservatorio Astronomico di Roma, via Frascati 33, 00040 Monteporzio (RM), Italy e-mail: fontana@oa-roma.inaf.it
2
Dipartimento di Fisica, Università di Roma “La Sapienza”, P.le A. Moro 2, 00185 Roma, Italy
3
Department of Astronomy, University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003, USA
4
INAF – Osservatorio Astronomico di Trieste, via G.B. Tiepolo 11, 34131 Trieste, Italy
Received:
12
January
2009
Accepted:
21
January
2009
Aims. We attempt to compile a complete, mass-selected sample of galaxies with low specific star-formation rates, and compare their properties with theoretical model predictions.
Methods. We use the flux ratio and the SED fitting to the m spectral distribution, to select quiescent galaxies from to in the GOODS-MUSIC sample. Our observational selection can be translated into thresholds in specific star-formation rate , which can be compared with theoretical predictions.
Results. In the framework of the well-known global decline in quiescent galaxy fraction with redshift, we find that a non-negligible fraction of massive galaxies with low specific star-formation rate exists up to , including a tail of “red and dead” galaxies with yr-1. Theoretical models vary to a large extent in their predictions for the fraction of galaxies with low specific star-formation rates, but are unable to provide a global match to our data.
Key words: galaxies: formation / galaxies: evolution / galaxies: high-redshift
© ESO, 2009
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.