Volume 463, Number 3, March I 2007
|Page(s)||853 - 860|
|Section||Cosmology (including clusters of galaxies)|
|Published online||19 December 2006|
A new (2+1)D cluster finding algorithm based on photometric redshifts: large scale structure in the Chandra deep field south
Dipartimento di Fisica, Universitá di Roma “La Sapienza”, P.le A. Moro 2, 00185 Roma, Italy e-mail: email@example.com
2 INAF – Osservatorio Astronomico di Roma, via di Frascati 33, 00040 Monte Porzio Catone, Italy
Accepted: 24 November 2006
Aims.We study galaxy clustering and explore the dependence of galaxy properties on the the environment up to a redshift z ~ 1, on the basis of a deep multi-band survey in the Chandra Deep Field South.
Methods.We have developed a new method which combines galaxy angular positions and photometric redshifts to estimate the local galaxy number-density. This allows both the detection of overdensities in the galaxy distribution and the study of the properties of the galaxy population as a function of the environmental density.
Results.We detect two moderate overdensities at z ~ 0.7 and z ~ 1 previously identified spectroscopically. We find that the fraction of red galaxies within each structure increases with volume density, extending to z ~ 1 previous results. We measure “red sequence” slopes consistent with the values found in X-ray selected clusters, supporting the notion that the mass-metallicity relation hold constant up to z ~ 1.
Conclusions.Our method based on photometric redshifts allows to extend structure detection and density estimates up to the limits of photometric surveys, i.e. considerably deeper than spectroscopic surveys. Since X-ray cluster detection at high redshift is presently limited to massive relaxed structures, galaxy volume density based on photometric redshift appears as a valuable tool in the study of galaxy evolution.
Key words: galaxies: clusters: general / galaxies: evolution / galaxies: formation / galaxies: distances and redshifts / cosmology: large-scale structure of Universe
© ESO, 2007
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