Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Dynamical dark energy

TL;DR

This study uses the redshift evolution of anisotropic galaxy clustering from SDSS-III BOSS data to constrain dark energy parameters, improving methodology and combining multiple cosmological probes for tighter constraints.

Contribution

It introduces an improved analysis method for anisotropic clustering, enabling efficient exploration of high-dimensional cosmological parameter spaces, applied to dark energy parametrization.

Findings

Constraints on cosmological parameters consistent with previous results.

Reduced uncertainties in dark energy parameters by 30-40%.

Enhanced dark energy figure of merit by a factor of 2.

Abstract

We perform an anisotropic clustering analysis of 1,133,326 galaxies from the Sloan Digital Sky Survey (SDSS-III) Baryon Oscillation Spectroscopic Survey (BOSS) Data Release (DR) 12 covering the redshift range $0.15<z<0.69$. The geometrical distortions of the galaxy positions, caused by incorrect cosmological model assumptions, are captured in the anisotropic two-point correlation function on scales 6 -- 40 $h^{-1}\rm Mpc$. The redshift evolution of this anisotropic clustering is used to place constraints on the cosmological parameters. We improve the methodology of Li et al. 2016, to enable efficient exploration of high dimensional cosmological parameter spaces, and apply it to the Chevallier-Polarski-Linder parametrization of dark energy, $w=w_0+w_a{z}/({1+z})$. In combination with the CMB, BAO, SNIa and $H_0$ from Cepheid data, we obtain $\Omega_m = 0.301 \pm 0.008,\ w_0 = -1.042 \pm 0.067,\ $ and $w_a = -0.07 \pm 0.29$ (68.3\% CL). Adding our new AP measurements to the aforementioned results reduces the error bars by $\sim$30 -- 40\% and improves the dark energy figure of merit by a factor of $\sim$2. We check the robustness of the results using realistic mock galaxy catalogues.