Computer Science
Scientific paper
Feb 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002noao.prop..275d&link_type=abstract
NOAO Proposal ID #2002A-0275
Computer Science
Scientific paper
We propose to use SQIID to identify high-redshift clusters of galaxies from the BMW, an X-ray selected sample of serendipitously detected extended sources from the ROSAT HRI archive. The BMW survey is unique because of the superior angular resolution of the HRI. In fact, this is the only modern sample of distant clusters available that is not based on the low-resolution PSPC. Using 4m optical imaging, we have already identified several high-redshift clusters, two of which have z> 0.8, thus confirming the ability of the survey to peer efficiently into the z~ 1 regime, where only a handful of X-ray clusters are known. To test the evolution of the cluster abundance, we must increase the number of clusters known in this redshift regime. The BMW survey provides us with the only current opportunity to study compact clusters missing in all PSPC surveys. Because z~ 1 ellipticals have very red colors, K-band imaging is the most effective way of identifying these clusters. With SQIID, we also can obtain redshift estimates via the J-K red sequence. We propose near-IR imaging in J,H,K of 30 highest-z cluster candidates from the BMW survey, as indicated by their small size and low flux. This will allow efficient use of 8-meter spectroscopy to follow up the high-end tail of the redshift distribution.
Campana Sergio
Dell'Antonio Ian
Guzzo Luigi
Lazzati Davide
Longhetti Marcella
No associations
LandOfFree
Distant Compact Clusters of Galaxies from the BMW survey does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Distant Compact Clusters of Galaxies from the BMW survey, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distant Compact Clusters of Galaxies from the BMW survey will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1113671