Probing dark energy using baryonic oscillations in the galaxy power spectrum as a cosmological ruler
Chris Blake, Karl Glazebrook
TL;DR
This paper proposes using baryon acoustic oscillations in the galaxy power spectrum as a standard cosmological ruler to constrain the dark energy equation of state $w$. By measuring the oscillation wave number $k_A = 2\pi / s$, where the sound horizon $s$ is set by early-Universe physics, the method yields a largely model-independent probe of cosmic geometry; distortions from incorrect $w$ translate into shifts in the measured $k_A$, enabling constraints on $w$. Across back-of-the-envelope estimates and mock simulations for surveys at $z\sim1$ and $z\sim3$, the authors show that with realistic volumes and galaxy densities one can attain $\Delta w \approx 0.1$ (and as tight as $\sim0.04$ for favorable high-redshift cases), complementing Type Ia supernovae. The approach offers an independent, geometry-driven check on the late-time acceleration of the Universe and motivates next-generation spectroscopic redshift surveys to map baryonic oscillations on large scales.
Abstract
We show that the baryonic oscillations expected in the galaxy power spectrum may be used as a "standard cosmological ruler'' to facilitate accurate measurement of the cosmological equation of state. Our approach involves a straight-forward measurement of the oscillation "wavelength'' in Fourier space, which is fixed by fundamental linear physics in the early Universe and hence is highly model-independent. We quantify the ability of future large-scale galaxy redshift surveys with mean redshifts z~1 and z~3 to delineate the baryonic peaks in the power spectrum, and derive corresponding constraints on the parameter w describing the equation of state of the dark energy. For example, a survey of three times the Sloan volume at z ~ 1 can produce a measurement with accuracy dw ~ 0.1. We suggest that this method of measuring the dark energy powerfully complements other probes such as Type Ia supernovae, and suffers from a different (and arguably less serious) set of systematic uncertainties.
