Measuring BAO and non-Gaussianity via QSO clustering
U. Sawangwit (1), T. Shanks (1), S.M. Croom (2), M.J. Drinkwater (3),, S. Fine (1), D. Parkinson (3), Nicholas P. Ross (4) ((1) Durham University,, UK, (2) Univ. of Sydney, Australia, (3) Univ. of Queensland, Australia, (4), Lawrence Berkeley Lab, USA)

TL;DR
This paper assesses the potential of large QSO surveys to detect BAO and non-Gaussianity, demonstrating that a survey of ~250,000 QSOs could significantly advance cosmological measurements and constraints.
Contribution
It provides a detailed analysis of current QSO data, estimates the survey size needed for robust BAO detection, and explores the scientific benefits of a larger QSO survey.
Findings
Hint of BAO peak at ~105h^-1 Mpc in current data
A ~250,000 QSO survey needed for 3-4 sigma BAO detection
A larger survey could improve dark energy and non-Gaussianity constraints
Abstract
Our goals are (i) to search for BAO and large-scale structure in current QSO survey data and (ii) to use these and simulation/forecast results to assess the science case for a new, >10x larger, QSO survey. We first combine the SDSS, 2QZ and 2SLAQ surveys to form a survey of ~60000 QSOs. We find a hint of a peak in the QSO 2-point correlation function, xi(s), at the same scale (~105h^-1 Mpc) as detected by Eisenstein et al (2005) in their sample of DR5 LRGs but only at low statistical significance. We then compare these data with QSO mock catalogues from the Hubble Volume simulation used by Hoyle et al (2002) and find that both routes give statistical error estimates that are consistent at ~100h^-1 Mpc scales. Mock catalogues are then used to estimate the nominal survey size needed for a 3-4 sigma detection of the BAO peak. We find that a redshift survey of ~250000 z<2.2 QSOs is required…
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