Predictions of Quasar Clustering: Redshift, Luminosity and Selection Dependence
Robert J. Thacker, Evan Scannapieco, H. M. P. Couchman, Mark, Richardson

TL;DR
This study uses large-scale simulations to explain quasar clustering behavior across different redshifts and luminosities, matching many observations and predicting stronger dependencies at higher luminosities.
Contribution
It introduces a merger model with feedback to simulate quasar clustering, providing predictions for future observations and explaining current data.
Findings
Reproduces weak luminosity dependence of clustering.
Predicts stronger clustering dependence at higher luminosities.
Matches SDSS binary quasar clustering increase at higher redshift.
Abstract
We show that current clustering observations of quasars and luminous AGN can be explained by a merger model augmented by feedback from outflows. Using numerical simulations large enough to study clustering out to 25 comoving h^{-1} Mpc, we calculate correlation functions, biases, and correlation lengths as a function of AGN redshift and optical and X-ray luminosity. At optical wavelengths, our results match a wide range of current observations and generate predictions for future data sets. We reproduce the weak luminosity dependence of clustering over the currently well-measured range, and predict a much stronger dependence at higher luminosities. The increase in the amplitude of binary quasar clustering observed in the Sloan Digital Sky Survey (SDSS) is also reproduced and is predicted to occur at higher redshift, an effect that is due to the one halo term in the correlation function.…
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