Power Spectrum Precision for Redshift Space Distortions

Abstract

Redshift space distortions in galaxy clustering offer a promising technique for probing the growth rate of structure and testing dark energy properties and gravity. We consider the issue of to what accuracy they need to be modeled in order not to unduly bias cosmological conclusions. Fitting for nonlinear and redshift space corrections to the linear theory real space density power spectrum in bins in wavemode, we analyze both the effect of marginalizing over these corrections and of the bias due to not correcting them fully. While naively subpercent accuracy is required to avoid bias in the fixed case, in the fitting approach the Kwan-Lewis-Linder reconstruction function for redshift space distortions is found to be accurately selfcalibrated with little degradation in dark energy and gravity parameter estimation for a next generation galaxy redshift survey such as BigBOSS.

10 pages, 6 figures

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Cited by in corpus (6)

• DESI and other dark energy experiments in the era of neutrino mass measurements
• Galaxy and Mass Assembly (GAMA): Redshift Space Distortions from the Clipped Galaxy Field
• A Fast Route to Modified Gravitational Growth
• The impact of systematic uncertainties in N-body simulations on the precision cosmology from galaxy clustering: a halo model approach
• Geometric and dynamic distortions in anisotropic galaxy clustering
• Cosmological Leverage from the Matter Power Spectrum in the Presence of Baryon and Nonlinear Effects