The Angular Power-spectrum of SDSS Quasars Photometrically Classified through Extreme Deconvolution

Details The Angular Power-spectrum of SDSS Quasars Photometrically Classified through Extreme Deconvolution The Angular Power-spectrum of SDSS Quasars Photometrically Classified through Extreme Deconvolution

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21722206m&link_type=abstract

American Astronomical Society, AAS Meeting #217, #222.06; Bulletin of the American Astronomical Society, Vol. 43, 2011

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We apply the extreme-deconvolution method of Bovy et al. (2010, in preparation) to DR7 imaging from the Sloan Digital Sky Survey and derive a photometrically classified catalog of quasars in the redshift range 0.5 < z < 2.5. Our method is highly efficient, allowing nearly one million quasars to be classified with over 90% efficiency to faint magnitudes. For each object classified as a quasar, we use an instance-based approach to derive a full photometric redshift in the form of a probability density function (PDF). These PDFs allow a quantitative determination of whether objects lie in arbitrary redshift ranges (rather than at a single redshift or in a specific redshift range). The high efficiency of our catalog allows us to place new constraints on the large-scale geometry of the universe over the largest area to date using quasars as cosmological probes. We measure the angular power-spectrum of photometrically classified quasars in SDSS DR8 employing a matrix-based method that uses an optimal quadratic estimator. This provides a minimum-variance measurement of the clustering power. The vast area probed by our catalog is particularly interesting for measurements where statistics are mostly limited by cosmic variance. In particular, our approach provides an opportunity to place powerful new constraints on non-Gaussianity through the fNL parameter.

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