Volume 551, March 2013
|Number of page(s)||18|
|Section||Cosmology (including clusters of galaxies)|
|Published online||08 February 2013|
1 Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany
2 Max-Planck-Institut für extraterrestische Physik, Giessenbachstraße, 85748 Garching, Germany
3 European Space Astronomy Center (ESAC)/ESA, Madrid, Spain
4 Departamento de Astronomá y Astrofísica, Pontificia Universidad Católica de Chile, Casilla 306, 22 Santiago, Chile
5 National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt
6 University Observatory Munich, Ludwig-Maximillians University Munich, Scheinerstr. 1, 81679 Munich, Germany
7 Institut für Astronomie, Universität Wien, Universitätsring 1, 1010 Wien, Austria
Received: 15 September 2012
Accepted: 6 December 2012
Aims. The XMM-Newton distant cluster project (XDCP) aims at the identification of a well defined sample of X-ray selected clusters of galaxies at redshifts z ≥ 0.8. As part of this project, we analyse the deep XMM-Newton exposure covering one of the CFHTLS deep fields to quantify the cluster content. We validate the optical follow-up strategy as well as the X-ray selection function.
Methods. We searched for extended X-ray sources in archival XMM-Newton EPIC observations. Multi-band optical imaging was performed to select high redshift cluster candidates among the extended X-ray sources. Here we present a catalogue of the extended sources in one the deepest ~250 ks XMM-Newton fields targetting LBQS 2212-1759 covering ~0.2deg2. The cluster identification is based on deep imaging with the ESO VLT and from the CFHT legacy survey, among others. The confirmation of cluster candidates is done by VLT/FORS2 multi-object spectroscopy. Photometric redshifts from the CFHTLS D4 were utilised to confirm the effectiveness of the X-ray cluster selection method. The survey sensitivity was computed with extensive Monte-Carlo simulations.
Results. At a flux limit of S0.5 − 2.0 keV ~ 2.5 × 10-15ergs-1 we achieve a completeness level higher than 50% in an area of ~ 0.13 deg2. We detect six galaxy clusters above this limit with optical counterparts, of which 5 are new spectroscopic discoveries. Two newly discovered X-ray luminous galaxy clusters are at z ≥ 1.0, another two at z = 0.41, and one at z = 0.34. For the most distant X-ray selected cluster in this field at z = 1.45, we find additional (active) member galaxies from both X-ray and spectroscopic data. Additionally, we find evidence of large-scale structures at moderate redshifts of z = 0.41 and z = 0.34.
Conclusions. The quest for distant clusters in archival XMM-Newton data has led to detection of six clusters in a single field, making XMM-Newton an outstanding tool for cluster surveys. Three of these clusters are at z ≥ 1, which emphasises the valuable contribution of small, yet deep surveys to cosmology. Beta models are appropriate descriptions of the cluster surface brightness when performing cluster detection simulations to compute the X-ray selection function. The constructed log N − log S tends to favour a scenario where no evolution in the cluster X-ray luminosity function (XLF) takes place.
Key words: cosmology: observations / dark matter / large-scale structure of Universe / X-rays: galaxies: clusters / surveys
This work made use of observations made with ESO Very Large Telescope at the La Silla Observatory under the programmes 072.A-0706(A), 073.A-0737(A), 079.A-0369(C), and 080.A-0659(A).
XMM-Newton, an ESA science mission with instruments and contributions directly funded by ESA Member States and NASA.
Tables 2 and 5 are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (188.8.131.52) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/551/A8
© ESO, 2013
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.