Power spectrum precision for redshift space distortions

Eric V. Linder; Johan Georg Mulvad Samsing

doi:10.1088/1475-7516/2013/02/025

Power spectrum precision for redshift space distortions

Eric V. Linder, Johan Georg Mulvad Samsing

DARK

6 Citationer (Scopus)

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 unmarginalized 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.

Originalsprog	Engelsk
Artikelnummer	025
Tidsskrift	Journal of Cosmology and Astroparticle Physics
Vol/bind	2013
ISSN	1475-7516
DOI	https://doi.org/10.1088/1475-7516/2013/02/025
Status	Udgivet - 1 feb. 2013

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10.1088/1475-7516/2013/02/025

Citationsformater

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AU - Linder, Eric V.

AU - Samsing, Johan Georg Mulvad

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N2 - 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 unmarginalized 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.

AB - 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 unmarginalized 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.

U2 - 10.1088/1475-7516/2013/02/025

DO - 10.1088/1475-7516/2013/02/025

M3 - Journal article

SN - 1475-7516

VL - 2013

JO - Journal of Cosmology and Astroparticle Physics

JF - Journal of Cosmology and Astroparticle Physics

M1 - 025

ER -

Power spectrum precision for redshift space distortions

Abstract

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