Computer Science – Performance
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21330401r&link_type=abstract
American Astronomical Society, AAS Meeting #213, #304.01; Bulletin of the American Astronomical Society, Vol. 41, p.273
Computer Science
Performance
Scientific paper
Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. We report on a a new matched filter richness estimator, and test its performance in a novel way using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L_X-richness relation relative to the original maxBCG richness estimator, and is significantly more robust to photometric and redshift errors. We also demonstrate that the scatter in the L_X-richness relation depends on the aperture used to estimate the cluster richness. In addition, we report on new constraints on the logarithmic scatter in mass at fixed richness for the maxBCG catalog. As a byproduct of our analysis, we also obtain the first observational constraint on the correlation coefficient involving two different mass tracers. Finally, our results are used to produce an estimate of the halo mass function at z=0.23, and find that it is consistent with the WMAP5 cosmology.
Koester Ben
maxBCG Cluster Group
McKay Tim
Rozo Eduardo
Rykoff Eli S.
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