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TestingΛCDMwith the growth functionδ(a): Current constraints

2007/10/31 by S. Nesseris, Savvas Nesseris, Leandros Perivolaropoulos +1 · 7 citations
Mathematics · Physics and Astronomy · #Algorithm #Astrophysics #Black Holes and Theoretical Physics #Combinatorics #Cosmology and Gravitation Theories #Lambda #Mathematics #Omega #Particle physics theoretical and experimental studies #Physics #Quantum mechanics #Redshift #astro-ph #gr-qc #hep-ph

paper · pdf · doi:10.1103/physrevd.77.023504

published as Phys.Rev.D77:023504,2008 · 7 pages, 4 figures. Added comments on the data of Table I (after eq. (2.16)). Corrected a typo on eq. (2.15). The mathematica files with the numerical analysis of this study may be found at http://nesseris.physics.uoi.gr/growth/growth.htm

arxiv created 2007/10/31 · openalex publication_date 2008/01/07 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

We have compiled a data set consisting of 22 data points at a redshift range (0.15, 3.8) which can be used to constrain the linear perturbation growth rate f=\fracdln\ensuremathδdlna. Five of these data points constrain directly the growth rate f through either redshift distortions or change of the power spectrum with redshift. The rest of the data points constrain f indirectly through the rms mass fluctuation \ensuremathσ8(z) inferred from Ly\mathrm\text\ensuremath-\ensuremathα at various redshifts. Our analysis tests the consistency of the \ensuremathΛCDM model and leads to a constraint of the Wang-Steinhardt growth index \ensuremathγ [defined from f=\ensuremathΩm(a)^\ensuremathγ] as \ensuremathγ=0.67_\ensuremath-0.17+0.20. This result is clearly consistent at 1\ensuremathσ with the value \ensuremathγ=(6)/(11)=0.545 predicted by \ensuremathΛCDM. We also apply our analysis on a new null test of \ensuremathΛCDM which is similar to the one recently proposed by Chiba and Nakamura (arXiv:0708.3877) but does not involve derivatives of the expansion rate H(z). This also leads to the fact that \ensuremathΛCDM provides an excellent fit to the current linear growth data.

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