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Reconstructing the growth index $\gamma$ with Gaussian Processes

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arxiv 2311.14216 v2 pith:S6MMSZQ4 submitted 2023-11-23 astro-ph.CO

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keywords gammagrowthsigmacosmologicalcurrentdataindexmethodology
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abstract

Alternative cosmological models have been proposed to alleviate the tensions reported in the concordance cosmological model, or to explain the current accelerated phase of the universe. One way to distinguish between General Relativity and modified gravity models is using current astronomical data to measure the growth index $\gamma$, a parameter related to the growth of matter perturbations, which behaves differently in different metric theories. We propose a model independent methodology for determining $\gamma$, where our analyses combine diverse cosmological data sets, namely $\{ f(z_i) \}$, $\{ [f\sigma_8](z_i) \}$, and $\{ H(z_i) \}$, and use Gaussian Processes, a non-parametric approach suitable to reconstruct functions. This methodology is a new consistency test for $\gamma$ constant. Our results show that, for the redshift interval $0 < z < 1$, $\gamma$ is consistent with the constant value $\gamma = 0.55$, expected in General Relativity theory, within $2 \sigma$ confidence level (CL). Moreover, we find $\gamma(z=0)$ = 0.311 $\pm 0.144 $ and $\gamma(z=0) = 0.609 \pm 0.200$ for the reconstructions using the $\{ f(z_i) \}$ and $\{ [f\sigma_8](z_i) \}$ data sets, respectively, values that also agree at a 2$\sigma$ CL with $\gamma = 0.55$. Our methodology and analyses can be considered as an alternative approach in light of the current discussion in the literature that suggests a possible evidence for the growth index evolution.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Testing Scale-Dependent Suppression of Structure Growth in the Linear Regime

    astro-ph.CO 2026-08 conditional novelty 5.0 of 10

    A combined fit of galaxy-growth, supernova, and CMB data finds at most a weak 2.2σ hint for scale-dependent suppression of structure growth, with an inconclusive Bayes factor.

  2. Revisiting the temperature evolution law of the CMB with gaussian processes

    astro-ph.CO 2025-05 conditional novelty 5.0 of 10

    Gaussian Process reconstruction of CMB temperature data yields mild (~2 sigma) hints of deviation from T(z)=T0(1+z) at low redshift and a slight tension with COBE/FIRAS.

  3. Is $\omega_0 \omega_a$CDM a good model for the clumpy Universe?

    astro-ph.CO 2025-07 reject novelty 4.0 of 10

    Against a Gaussian-process reconstruction of 15 sigma8(z) measurements, the DESI w0waCDM model fits slightly better than LambdaCDM, but the difference is tiny and the comparison metric is biased.

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