The Clustering of High-Redshift (2.9 $\leq$ z $\leq$ 5.1) Quasars in SDSS Stripe 82 [GA]

http://arxiv.org/abs/1712.03128


We present a measurement of the two-point autocorrelation function of photometrically-selected, high-$z$ quasars over $\sim$ 100 deg$^2$ on the Sloan Digitial Sky Survey Stripe 82 field. Selection is performed using three machine learning algorithms in a six-dimensional, optical/mid-infrared color space. Optical data from the Sloan Digitial Sky Survey is combined with overlapping deep mid-infrared data from the \emph{Spitzer} IRAC Equatorial Survey and the \emph{Spitzer}-HETDEX Exploratory Large-area survey. Our selection algorithms are trained on the colors of known high-$z$ quasars. The selected quasar sample consists of 1378 objects, and contains both spectroscopically-confirmed quasars and photometrically-selected quasar candidates. These objects span a redshift range of $2.9 \leq z \leq 5.1$ and are generally fainter than $i=20.2$, a regime which, until now, has lacked sufficient number density to perform measurements of the autocorrelation function of photometrically-classified quasars. We compute the angular correlation function of these data, fitting a single power-law with an index of $\delta = 1.45 \pm 0.279$ and amplitude of $\theta_0 = 0.76 \pm 0.247$ arcmin. A dark matter model is fit to the angular correlation function to estimate the linear bias. At the average redshift of our survey ($\langle z \rangle = 3.38$) the bias is $b = 7.32 \pm 0.12$. Using this bias, we calculate a characteristic dark matter halo mass of 5.75–6.30$\times 10^{12}h^{-1} M_{\odot}$. We also estimate the bias for 1126 faint quasars in the survey ($i\geq20.2$) in the same manner and find similar results to the full sample. These results imply that fainter quasars exhibit similar clustering as brighter quasars at high-redshift. If confirmed, this result suggests that quasar feedback is ineffective at blowing gas away from the central region, and the central black hole rapidly grows at early times.

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J. Timlin, N. Ross, G. Richards, et. al.
Mon, 11 Dec 17
9/62

Comments: 21 Pages, 14 Figures