Computer Science – Performance
Scientific paper
Aug 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003basbr..23...20l&link_type=abstract
Boletim da Sociedade Astronômica Brasileira (ISSN 0101-3440), vol.23, no.1, p. 20-20
Computer Science
Performance
Scientific paper
We present an optically selected galaxy cluster catalog from 3000 square degrees of the Digitized Second Palomar Observatory Sky Survey (DPOSS) at 0.1 £ z £ 0.5. The catalog contains 9,982 cluster candidates and is the largest resource of rich clusters spanning this redshift range to date. The candidates are detected using the best DPOSS plates selected by seeing and limiting magnitude. The search is further restricted to high galactic latitudes (|b| > 50°), where stellar contamination is nearly uniform. We also present a performance comparison of two different detection methods applied to this data, the Adaptive Kernel and Voronoi Tessellation techniques. Extensive simulations are performed and applied to the two different methods, indicating a contamination rate of 5%. These simulations are also used to optimize the algorithms and evaluate the selection function for the final cluster catalog. Redshift and richness estimates are also provided, making possible the selection of subsamples for future studies.
Brunner Robert J.
de Carvalho Reinaldo R.
Gal R. Djorgovski S. G. R.
Lopes A. A. P.
Mahabal Ashish A.
No associations
LandOfFree
The northern sky optical cluster survey: an intermediate redshift galaxy cluster catalog and the comparison of two detection algorithms 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 The northern sky optical cluster survey: an intermediate redshift galaxy cluster catalog and the comparison of two detection algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The northern sky optical cluster survey: an intermediate redshift galaxy cluster catalog and the comparison of two detection algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1665207