Defying the laws of Gravity I: model-independent reconstruction of the Universe expansion from growth data

Abstract

Using redshift space distortion data, we perform model-independent reconstructions of the growth history of matter inhomogeneity in the expanding Universe using two methods: crossing statistics and Gaussian processes. We then reconstruct the corresponding history of the Universe background expansion and fit it to type Ia supernovae data, putting constraints on $({\Omega }_{\mathrm{m},0},{\sigma }_{8,0})$. The results obtained are consistent with the concordance flat-$\Lambda$CDM model and General Relativity as the gravity theory given the current quality of the inhomogeneity growth data.

arXiv comment8 pages, 7 figures. v3: match published version

References in corpus (43)

• emcee: The MCMC Hammer
• Dynamics of dark energy
• Modified Gravity and Cosmology
• The Case for a Positive Cosmological Lambda-term
• The Complete Light-curve Sample of Spectroscopically Confirmed Type Ia Supernovae from Pan-STARRS1 and Cosmological Constraints from The Combined Pantheon Sample
• Reconstruction of a scalar-tensor theory of gravity in an accelerating universe
• Reconstructing Dark Energy
• The 6dF Galaxy Survey: z \approx 0 measurement of the growth rate and sigma_8
• The WiggleZ Dark Energy Survey: the growth rate of cosmic structure since redshift z=0.9
• Reconstructing the history of structure formation using redshift distortions
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: RSD measurement from the power spectrum and bispectrum of the DR12 BOSS galaxies
• How to determine an effective potential for a variable cosmological term
• Gaussian Process Cosmography
• The Clustering of the SDSS Main Galaxy Sample II: Mock galaxy catalogues and a measurement of the growth of structure from Redshift Space Distortions at $z=0.15$
• The Subaru FMOS galaxy redshift survey (FastSound). IV. New constraint on gravity theory from redshift space distortions at $z\sim 1.4$
• Theoretical Models of Dark Energy
• Nonparametric Dark Energy Reconstruction from Supernova Data
• The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: a tomographic measurement of cosmic structure growth and expansion rate based on optimal redshift weights
• Scalar-Tensor Models of Normal and Phantom Dark Energy
• Nonparametric Reconstruction of the Dark Energy Equation of State
• Non-parametric Star Formation History Reconstruction with Gaussian Processes I: Counting Major Episodes of Star Formation
• New test of the FLRW metric using the distance sum rule
• The growth of matter perturbations in f(R) models
• Nonparametric Reconstruction of the Dark Energy Equation of State from Diverse Data Sets
• 2MTF VI. Measuring the velocity power spectrum
• Model-independent test of the FLRW metric, the flatness of the Universe, and non-local measurement of $H_0{r}_{\mathrm{d}}$
• Model Independent Tests of Cosmic Growth vs Expansion
• Falsifying $\Lambda$CDM: Model-independent tests of the concordance model with eBOSS DR14Q and Pantheon
• Model independent inference of the expansion history and implications for the growth of structure
• Reconstructing the distribution of haloes and mock galaxies below the resolution limit in cosmological simulations
• Bouncing Universes in Scalar-Tensor Gravity Models admitting Negative Potentials
• Cosmic Curvature Tested Directly from Observations
• Crossing Statistic: Reconstructing the Expansion History of the Universe
• Model-independent cosmological constraints from growth and expansion
• A covariant treatment of cosmic parallax
• Crossing Statistic: Bayesian interpretation, model selection and resolving dark energy parametrization problem
• The Crossing Statistic: Dealing with Unknown Errors in the Dispersion of Type Ia Supernovae
• Model Independent Expansion History from Supernovae: Cosmology versus Systematics
• When is the growth index constant?
• Constraints on dark energy from the Lyα forest baryon acoustic oscillations measurement of the redshift 2.3 Hubble parameter
• Non-parametric Reconstruction of Growth Index via Gaussian Processes
• Test of consistency between Planck and WMAP
• Measuring the matter energy density and Hubble parameter from Large Scale Structure

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