English

Quasar Clustering from SDSS DR5: Dependences on Physical Properties

Astrophysics 2015-05-13 v2

Abstract

Using a homogenous sample of 38,208 quasars with a sky coverage of 4000deg24000 {\rm deg^2} drawn from the SDSS Data Release Five quasar catalog, we study the dependence of quasar clustering on luminosity, virial black hole mass, quasar color, and radio loudness. At z<2.5z<2.5, quasar clustering depends weakly on luminosity and virial black hole mass, with typical uncertainty levels 10\sim 10% for the measured correlation lengths. These weak dependences are consistent with models in which substantial scatter between quasar luminosity, virial black hole mass and the host dark matter halo mass has diluted any clustering difference, where halo mass is assumed to be the relevant quantity that best correlates with clustering strength. However, the most luminous and most massive quasars are more strongly clustered (at the 2σ\sim 2\sigma level) than the remainder of the sample, which we attribute to the rapid increase of the bias factor at the high-mass end of host halos. We do not observe a strong dependence of clustering strength on quasar colors within our sample. On the other hand, radio-loud quasars are more strongly clustered than are radio-quiet quasars matched in redshift and optical luminosity (or virial black hole mass), consistent with local observations of radio galaxies and radio-loud type 2 AGN. Thus radio-loud quasars reside in more massive and denser environments in the biased halo clustering picture. Using the Sheth et al.(2001) formula for the linear halo bias, the estimated host halo mass for radio-loud quasars is 1013h1M\sim 10^{13} h^{-1}M_\odot, compared to 2×1012h1M\sim 2\times 10^{12} h^{-1}M_\odot for radio-quiet quasar hosts at z1.5z\sim 1.5.

Keywords

Cite

@article{arxiv.0810.4144,
  title  = {Quasar Clustering from SDSS DR5: Dependences on Physical Properties},
  author = {Yue Shen and Michael A. Strauss and Nicholas P. Ross and Patrick B. Hall and Yen-Ting Lin and Gordon T. Richards and Donald P. Schneider and David H. Weinberg and Andrew J. Connolly and Xiaohui Fan and Joseph F. Hennawi and Francesco Shankar and Daniel E. Vanden Berk and Neta A. Bahcall and Robert J. Brunner},
  journal= {arXiv preprint arXiv:0810.4144},
  year   = {2015}
}

Comments

Updated version; accepted for publication in ApJ

R2 v1 2026-06-21T11:33:59.053Z