Cosmological constraints from baryon acoustic oscillations and clustering of large-scale structure

TL;DR

This paper combines BAO and large-scale structure measurements across a wide redshift range to constrain cosmological parameters, improving precision and exploring tensions between different data sets within standard cosmological models.

Contribution

It provides new constraints on cosmological parameters using combined BAO and LSS data without relying solely on CMB calibration, and examines tensions among various cosmological measurements.

Findings

BAO data constrains _m .03 in flat  CDM

Adding LSS data tightens parameter constraints significantly

LSS data prefers lower H_0 and higher _m than local measurements

Abstract

We constrain cosmological parameters using combined measurements of the baryon acoustic oscillation (BAO) feature in the correlation function of galaxies and Ly-\alpha absorbers that together cover 0.1 < z < 2.4. The BAO position measurements alone -- without fixing the absolute sound horizon `standard ruler' length with cosmic microwave background (CMB) data -- constrain \Omega_m = 0.303 +/- 0.040 (68 per cent confidence) for a flat \Lambda CDM model, and w = -1.06^{+0.33}_{-0.32}, \Omega_m = 0.292^{+0.045}_{-0.040} for a flat wCDM model. Adding other large-scale structure (LSS) clustering constraints -- correlation function shape, the Alcock-Paczynski test and growth rate information -- to the BAO considerably tightens constraints (\Omega_m = 0.290 +/- 0.019, H_0 = 67.5 +/- 2.8 km s^{-1} Mpc^{-1}, \sigma_8 = 0.80 +/- 0.05 for \Lambda CDM, and w = -1.14 +/- 0.19 for wCDM). The LSS data mildly prefer a lower value of H_0, and a higher value of \Omega_m, than local distance ladder and type IA supernovae (SNe) measurements, respectively. While tension in the combined CMB, SNe and distance ladder data appears to be relieved by allowing w < -1, this freedom introduces tension with the LSS \sigma_8 constraint from the growth rate of matter fluctuations. The combined constraint on w from CMB, BAO and LSS clustering for a flat wCDM model is w = -1.03 +/- 0.06.