2019
DOI: 10.1103/physrevd.99.043516
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Unraveling the effective fluid approach for f(R) models in the subhorizon approximation

Abstract: We provide explicit formulas for the effective fluid approach of f (R) theories, such as the Hu & Sawicki and the designer models. Using the latter and simple modifications to the CLASS code, which we call EFCLASS, in conjunction with very accurate analytic approximations for the background evolution, we obtain competitive results in a much simpler and less error-prone approach. We also derive the initial conditions in matter domination and we find they differ from those already found in the literature for a c… Show more

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Cited by 96 publications
(131 citation statements)
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“…where primes denote differentiation with respect to the redshift. While in terms of the scale factor we have [52,101,111]…”
Section: Ii2 the Effective Newton's Constant Parameter µ And The LImentioning
confidence: 99%
“…where primes denote differentiation with respect to the redshift. While in terms of the scale factor we have [52,101,111]…”
Section: Ii2 the Effective Newton's Constant Parameter µ And The LImentioning
confidence: 99%
“…The methodology used to handle the data relies on the Markov Chain Monte Carlo (MCMC) technique based on the Metropolis-Hasting algorithm with a modified version of the original available publicly Mathematica TM code from refs. [37,38]. We apply our χ 2 -statistics to the joint likelihood of the 1107 data points.…”
Section: Cosmological Datamentioning
confidence: 99%
“…We perform the Markov Chain Monte Carlo (MCMC) sample technique with a modified version of the available publicly code [37,38] written in Mathematica TM software using the joint likelihood of kinematical probes as of the Cosmic Microwave Background (CMB) Planck 2018 [1] datasets of TT,TE,EE+lowE on 68% interval of the related cosmolog-0123456789(). : V,-vol ical parameters, the largest dataset Pantheon SnIa [39] with redshift ranging from 0.01 < z < 2.3, the Hubble parameter a function of redshift H (z) [40] and Baryonic Acoustic Oscillations (BAO) from points of the joint surveys 6dFGS [41], BOSS DR12 [42], SDSS DR7 MGS [43], eBOSS DR14 [44], BOSS DR12 Lyα forest [45] and BOSS DR11 Lyα forest [46].…”
Section: Introductionmentioning
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%