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The growth factor parametrization versus numerical solutions in flat and non-flat dark energy models

A. M. Velásquez-Toribio, J. C. Fabris

2020The European Physical Journal C17 citationsDOIOpen Access PDF

Abstract

Abstract In the present investigation we use observational data of $$ f \sigma _ {8} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>f</mml:mi> <mml:msub> <mml:mi>σ</mml:mi> <mml:mn>8</mml:mn> </mml:msub> </mml:mrow> </mml:math> to determine observational constraints in the plane $$(\Omega _{m0},\sigma _{8})$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>Ω</mml:mi> <mml:mrow> <mml:mi>m</mml:mi> <mml:mn>0</mml:mn> </mml:mrow> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>σ</mml:mi> <mml:mn>8</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> using two different methods: the growth factor parametrization and the numerical solutions method for density contrast, $$\delta _{m}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>δ</mml:mi> <mml:mi>m</mml:mi> </mml:msub> </mml:math> . We verified the correspondence between both methods for three models of accelerated expansion: the $$\Lambda CDM$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>Λ</mml:mi> <mml:mi>C</mml:mi> <mml:mi>D</mml:mi> <mml:mi>M</mml:mi> </mml:mrow> </mml:math> model, the $$ w_{0}w_{a} CDM$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>w</mml:mi> <mml:mn>0</mml:mn> </mml:msub> <mml:msub> <mml:mi>w</mml:mi> <mml:mi>a</mml:mi> </mml:msub> <mml:mi>C</mml:mi> <mml:mi>D</mml:mi> <mml:mi>M</mml:mi> </mml:mrow> </mml:math> model and the running cosmological constant RCC model. In all case we consider also the curvature as free parameter. The study of this correspondence is important because the growth factor parametrization method is frequently used to discriminate between competitive models. Our results we allow us to determine that there is a good correspondence between the observational constrains using both methods. We also test the power of the $$ f\sigma _ {8} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>f</mml:mi> <mml:msub> <mml:mi>σ</mml:mi> <mml:mn>8</mml:mn> </mml:msub> </mml:mrow> </mml:math> data to constraints the curvature parameter within the $$ \Lambda CDM $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>Λ</mml:mi> <mml:mi>C</mml:mi> <mml:mi>D</mml:mi> <mml:mi>M</mml:mi> </mml:mrow> </mml:math> model. For this we use a non-parametric reconstruction using Gaussian processes. Our results show that the $$ f\sigma _ {8}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>f</mml:mi> <mml:msub> <mml:mi>σ</mml:mi> <mml:mn>8</mml:mn> </mml:msub> </mml:mrow> </mml:math> data with the current precision level does not allow to distinguish between a flat and non-flat universe.

Topics & Concepts

AlgorithmComputer scienceCosmology and Gravitation TheoriesSolar and Space Plasma DynamicsClimate variability and models
The growth factor parametrization versus numerical solutions in flat and non-flat dark energy models | Litcius