Computer Science – Databases
Scientific paper
Dec 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aipc.1082..172m&link_type=abstract
CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: ``Classification and Di
Computer Science
Databases
Cosmology, Density-Functional Theory, Astronomical Catalogs, Atlases, Sky Surveys, Databases, Retrieval Systems, Archives, Etc.
Scientific paper
The growth of structure in the cosmic density field from the initial seeds observed in the CMB can be reliably predicted for any assumed cosmology. Many features of this density field can be observed to provide constraints on cosmology. The statistics of large density peaks, galaxy clusters, are especially sensitive to cosmological parameters. Counting clusters, in principle, can provide very tight cosmological constraints. In practice, many systematic uncertainties remain in the relation between the dark matter halos theory predicts and the baryonic galaxy clusters observers detect. These uncertainties currently prevent us from realizing the promise of cluster cosmology. Modern survey data sets provide new opportunities to explore the observable-mass relation, especially through cross-correlation measurements. The next generation of surveys, which will provide optical, SZ, and x-ray observations for thousands of square degrees of sky, will provide the best opportunity yet to fully realize the promise of cluster cosmology.
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