Angular and spatial clustering of photometrically classified quasar candidates from SDSS NBCKDE
G. Ivashchenko, O. Vasylenko, A. V. Tugay

TL;DR
This study analyzes the clustering of photometrically classified quasars from SDSS NBCKDE using a novel random catalogue technique, confirming known clustering properties and exploring dependencies on redshift and luminosity.
Contribution
Introduces a new random catalogue generation method for quasar clustering analysis that accounts for survey homogeneity without needing an imaging mask.
Findings
Quasar two-point correlation function follows a power law with specific parameters.
Clustering amplitude increases with redshift.
No luminosity dependence found in quasar clustering.
Abstract
The present paper analyses the quasar clustering using the two-point correlation function (2pCF) and the largest existing sample of photometrically selected quasars: the SDSS NBCKDE catalogue (from the SDSS DR6). A new technique of random catalogue generation was developed for this purpose, that allows to take into account the original homogeneity of the survey without knowledge of its imaging mask. When averaged over photometrical redshifts 0.8<z_phot<2.2 the 2pCF of photometrically selected quasars is found to be approximated well with the power law w(\theta)=(\theta/\theta_0)^{-\alpha} with \theta_0=4".5+/-1".4, \alpha=0.94+/-0.06 over the range 1'<\theta<40'. It agrees well with previous results by Myers et al. (2006,2007), obtained for samples of NBCKDE quasars with similar mean z_phot, but averaged over broader z_phot range. The parameters of the deprojected 2pCF averaged over the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries · Astronomy and Astrophysical Research
