Mathematics – Logic
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...20922205w&link_type=abstract
2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #222.05; Bulletin of the American Astronomical Society,
Mathematics
Logic
Scientific paper
The recent generation of large surveys (e.g., SDSS, 2dF, RCS, and DEEP) has ushered in a new era of optical cluster finding, which is likely to continue well into the future with photometric surveys like the DES and LSST. These large optical cluster studies hold promise both for powerful cosmological constraints and for constraining the connection between galaxies and dark matter halos. However, fulfilling either of these goals requires a detailed understanding of the selection effects of the relevant cluster finder and a robust and well-understood way to calibrate the mass scale, which can be challenging for photometrically-selected catalogs. The best way to do this is with simulations that have galaxy populations with photometric and clustering properties that are as realistic as possible. I will describe one method for doing so, which allows the creation of large mock galaxy catalogs with properties (number density, luminosity function, color distribution and evolution, and luminosity and color dependent clustering) that are in excellent agreement with those of bright galaxies in the Sloan Digital Sky Survey. These catalogs associate galaxies with dark matter in large volume simulations using only the smoothed density field, and allow us to detail the accuracy with which we can recover the relation between observed cluster properties and dark halo masses for a given cluster finding method. I will describe their application to deriving cosmological constrains from the maxBCG cluster catalog. I will then discuss complementary techniques and the improvements that will be necessary to take optical cluster cosmology to the next level.
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