1991
DOI: 10.1086/186057
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Reconstructing the primordial spectrum of fluctuations of the universe from the observed nonlinear clustering of galaxies

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Cited by 343 publications
(487 citation statements)
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“…The power spectrum of the density fluctuations is described by its primordial slope of n = 1, a shape parameter Γ = 0.21, and a normalization of σ 8 = 1. We used the fit formula of Bardeen et al (1986) for the linear power spectrum, and the prescription of Hamilton et al (1991) in the form given in Peacock & Dodds (1996) to describe the non-linear evolution of the power spectrum 1 . Furthermore, we fix the survey properties to be described by a fiducial area of A = 1 deg 2 , a number density n = 30 arcmin −2 of source galaxies, and an intrinsic ellipticity dispersion of σ = 0.3.…”
Section: Averaging Over An Ensemble Of Galaxy Positionsmentioning
confidence: 99%
“…The power spectrum of the density fluctuations is described by its primordial slope of n = 1, a shape parameter Γ = 0.21, and a normalization of σ 8 = 1. We used the fit formula of Bardeen et al (1986) for the linear power spectrum, and the prescription of Hamilton et al (1991) in the form given in Peacock & Dodds (1996) to describe the non-linear evolution of the power spectrum 1 . Furthermore, we fix the survey properties to be described by a fiducial area of A = 1 deg 2 , a number density n = 30 arcmin −2 of source galaxies, and an intrinsic ellipticity dispersion of σ = 0.3.…”
Section: Averaging Over An Ensemble Of Galaxy Positionsmentioning
confidence: 99%
“…One of the most important applications of the conventional self-similar solution is the Ðtting formula for the nonlinear power spectrum by Peacock & Dodds (1996), which is based on an idea originally proposed by Hamilton et al (1991). In the strongly nonlinear regime, on which we focus in this paper, the Peacock-Dodds formula agrees well with the simulations for and also for and ) 0 \ 1, ) 0 \ 1 ) 0 We have found, however, that in and ] j 0 \ 1. )…”
Section: Discussionmentioning
confidence: 99%
“…This solution has been widely applied in modeling the nonlinear gravitational clustering (Hamilton et al 1991 ;Peacock & Dodds 1994, 1996Jain, Mo, & White 1995) and in understanding the pairwise velocity dispersions, and thus the redshift-space distortion (Suto & Jing 1997 ;Jing, Mo, & 1998). In fact, the above prescription has been Borner applied even in cases where the universe is not described by the EinsteinÈde Sitter model and/or the linear power spectrum is not of a power-law form.…”
Section: Introductionmentioning
confidence: 99%
“…One can interpolate between the linear and highly non-linear regimes to produce semi-analytic models for clustering in the quasi-linear regime which can then be accurately fit to results from N -body simulations (Hamilton 1991;Jain, Mo, & White 1995;Peacock & Dodds 1996). Following the discussion of PD, we define the dimensionless power spectrum as…”
Section: Inferring Spatial Informationmentioning
confidence: 99%