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- Universal fitting formulae for baryon oscillation surveys
- Blake, Chris; Parkinson, David; Bassett, Bruce A.; Glazebrook, Karl; Kunz, Martin; Nichol, Robert C.
- The next generation of galaxy surveys will attempt to measure the baryon oscillations in the clustering power spectrum with high accuracy. These oscillations encode a preferred scale which may be used as a standard ruler to constrain cosmological parameters and dark energy models. In this paper we present simple analytical fitting formulae for the accuracy with which the preferred scale may be determined in the tangential and radial directions by future spectroscopic and photometric galaxy redshift surveys. We express these accuracies as a function of survey parameters such as the central redshift, volume, galaxy number density and (where applicable) photometric redshift error. These fitting formulae should greatly increase the efficiency of optimizing future surveys, which requires analysis of a potentially vast number of survey configurations and cosmological models. The formulae are calibrated using a grid of Monte Carlo simulations, which are analysed by dividing out the overall shape of the power spectrum before fitting a simple decaying sinusoid to the oscillations. The fitting formulae reproduce the simulation results with a fractional scatter of 7 per cent (10 per cent) in the tangential (radial) directions over a wide range of input parameters. We also indicate how sparse-sampling strategies may enhance the effective survey area if the sampling scale is much smaller than the projected baryon oscillation scale.
- Publication type
- Journal article
- Monthly Notices of the Royal Astronomical Society, Vol. 365, no. 1 (Jan 2006), pp. 255-264
- Publication year
- Cosmological parameters; Evoluation; Fluctuations; Galaxy redshift survey; Large-scale structure; Power-spectrum analysis; Probing dark energy; Surveys; Universe
- Wiley-Blackwell Publishing
- Publisher URL
- Copyright © 2005 The Authors. Journal compilation copyright © 2005 RAS.
- Full text
- Peer reviewed