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Testing Late Time Cosmic Acceleration with uncorrelated Baryon Acoustic Oscillations dataset
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abstract
Baryon Acoustic Oscillations (BAO) involve measuring the spatial distribution of galaxies to determine the growth rate of cosmic structure. We derive constraints on cosmological parameters from $17$ uncorrelated BAO measurements that were collected from $333$ published data points in the effective redshift range $0.106 \leq z \leq 2.36$. We test the correlation of the subset using random covariance matrix. The $\Lambda$CDM model fit yields the cosmological parameters: $\Omega_m = 0.261 \pm 0.028$ and $\Omega_\Lambda = 0.733 \pm 0.021$. Combining the BAO data with the Cosmic Chronometers data, the Pantheon Type Ia supernova and the Hubble Diagram of Gamma Ray Bursts and Quasars, the Hubble constant yields $ 69.85 \pm 1.27 km/sec/Mpc$ and the sound horizon distance gives: $ 146.1 \pm 2.15 Mpc$. Beyond the $\Lambda$CDM model we test $\Omega_K$CDM and wCDM. The spatial curvature is $\Omega_k = -0.076 \pm 0.012$ and the dark energy equation of states: $w = -0.989 \pm 0.049$. {We perform AIC test to compare the 3 models and see that $\Lambda$CDM scores best.
Forward citations
Cited by 4 Pith papers
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Impact of DESI BAO Data on Inflationary Parameters: stability against late-time new physics
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Ricci-Cubic Holographic Dark Energy: Confronting Observations, Stability and the Cosmic Coincidence Problem
MCMC and machine learning fits constrain the Ricci-cubic holographic dark energy parameters, but the claimed 2.3 sigma Hubble tension and coincidence results are absent from the main text.
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Late Time Phenomena in $f(T,\mathcal{T})$ Gravity Framework: Role of $H_0$ Priors
An f(T,T) gravity model fitted to Pantheon+, BAO, and cosmic chronometer data yields a range of H0 posteriors that track the input priors, and predicts a growth rate about 9-11% below ΛCDM for two data combinations.
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