Photometric Redshifts for MaxBCG Galaxy Clusters Using Boosted Decision Trees

Details Photometric Redshifts for MaxBCG Galaxy Clusters Using Boosted Decision Trees Photometric Redshifts for MaxBCG Galaxy Clusters Using Boosted Decision Trees

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21344805w&link_type=abstract

American Astronomical Society, AAS Meeting #213, #448.05; Bulletin of the American Astronomical Society, Vol. 41, p.336

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The growth of structure is a sensitive function of cosmological parameters. Future large scale multi-band optical surveys, such as the Dark Energy Survey, aim to constrain the dark energy equation of state by measuring galaxy cluster properties as a function of redshift. In these surveys, spectroscopically-determined redshifts will not be available for the majority of identified clusters dues to the large number of clusters that will be identified and the scarcity and cost of the observing resource. Reliable photometric redshifts will therefore be essential for extracting cosmological information from these clusters. In this poster we present improved photometric redshifts for galaxy clusters in the MaxBCG catalog, a volume-limited catalog from 0.1

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