%0 Generic %1 timlin2017clustering %A Timlin, John D. %A Ross, Nicholas P. %A Richards, Gordon T. %A Myers, Adam D. %A Pellegrino, Andrew %A Bauer, Franz E. %A Lacy, Mark %A Schneider, Donald P. %A Wollack, Edward J. %A Zakamska, Nadia L. %D 2017 %K clustering quasars %T The Clustering of High-Redshift (2.9 $łeq$ z $łeq$ 5.1) Quasars in SDSS Stripe 82 %U http://arxiv.org/abs/1712.03128 %X 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 Spitzer IRAC Equatorial Survey and the 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 $2.9 z 5.1$ 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 $= 1.45 0.279$ and amplitude of $þeta_0 = 0.76 0.247$ arcmin. A dark matter model is fit to the angular correlation function to estimate the linear bias. At the average redshift of our survey ($z = 3.38$) the bias is $b = 7.32 0.12$. Using this bias, we calculate a characteristic dark matter halo mass of 5.75--6.30$10^12h^-1 M_ødot$. 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.

@misc{timlin2017clustering, abstract = {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.}, added-at = {2017-12-11T10:29:00.000+0100}, author = {Timlin, John D. and Ross, Nicholas P. and Richards, Gordon T. and Myers, Adam D. and Pellegrino, Andrew and Bauer, Franz E. and Lacy, Mark and Schneider, Donald P. and Wollack, Edward J. and Zakamska, Nadia L.}, biburl = {https://www.bibsonomy.org/bibtex/204b906972296d68f83cc6e1289b7733b/miki}, description = {[1712.03128] The Clustering of High-Redshift (2.9 $\leq$ z $\leq$ 5.1) Quasars in SDSS Stripe 82}, interhash = {6d90908cc99ff8c88c0fbd84663ec822}, intrahash = {04b906972296d68f83cc6e1289b7733b}, keywords = {clustering quasars}, note = {cite arxiv:1712.03128Comment: 21 Pages, 14 Figures}, timestamp = {2017-12-11T10:29:00.000+0100}, title = {The Clustering of High-Redshift (2.9 $\leq$ z $\leq$ 5.1) Quasars in SDSS Stripe 82}, url = {http://arxiv.org/abs/1712.03128}, year = 2017 }