2016
DOI: 10.1103/physrevd.94.123525
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Testing Einstein’s gravity and dark energy with growth of matter perturbations: Indications for new physics?

Abstract: The growth index of matter fluctuations is computed for ten distinct accelerating cosmological models and confronted to the latest growth rate data via a two-step process. First, we implement a joint statistical analysis in order to place constraints on the free parameters of all models using solely background data. Second, using the observed growth rate of clustering from various galaxy surveys we test the performance of the current cosmological models at the perturbation level while either marginalizing over… Show more

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Cited by 43 publications
(44 citation statements)
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References 128 publications
(140 reference statements)
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“…To speed up the computations, we note that the σ 8,0 parameter can be marginalized theoretically [24,25]. We rewrite the χ 2 :…”
Section: Formalismmentioning
confidence: 99%
“…To speed up the computations, we note that the σ 8,0 parameter can be marginalized theoretically [24,25]. We rewrite the χ 2 :…”
Section: Formalismmentioning
confidence: 99%
“…in Refs. [7,[44][45][46][47][48][49][50][51]. 1 In certain cases we consider the deviation around Ωm =0.3 instead of Ωm =Ω P m (2) The observable f σ 8 (z) has a blind spot with respect to the parameter g a at redshift z 2.7.…”
Section: Growth Of Density Perturbationsmentioning
confidence: 99%
“…A compilation of 63 f σ 8 measurements published by various surveys from 2006 to present is shown in Table II along with the corresponding fiducial cosmology assumed in each case. Despite of the existence of such a large sample of published f σ 8 data, most previous analyses [27,31,34,56,[58][59][60][61][62][63][64][65][66][67][68] that use growth data to constrain cosmological models use less than 20 data points which are usually selected from the larger data set of Table II on the basis of subjective criteria that favor more recent data as well as a qualitative minimization of correlations among the selected data points. Indeed, since many of these data points are correlated due to overlap in the galaxy samples used for their derivation, a large covariance matrix should be used for their combined analysis.…”
Section: Introductionmentioning
confidence: 99%