Measuring the Speed of Dark: Detecting Dark Energy Perturbations
Roland de Putter, Dragan Huterer, Eric V. Linder
TL;DR
This work investigates whether dark energy perturbations, encoded by the sound speed $c_s$, leave detectable imprints in the CMB and large-scale structure. It++develops a perturbation framework and analyzes three dark-energy models, including an early-dark-energy (cEDE) class with constant $c_s$, using current data to jointly constrain $c_s$ with other cosmological parameters. For constant-$w$ models, current data do not constrain $c_s$, while in the cEDE scenario a low $c_s$ is mildly favored, potentially mimicking additional dark matter at early times; nonetheless, $\,\Lambda$CDM remains fully consistent. The findings emphasize that dark-energy microphysics and early-time clustering can be probed with present datasets and motivate future measurements to map spatial variations of dark energy.
Abstract
The nature of dark energy can be probed not only through its equation of state, but also through its microphysics, characterized by the sound speed of perturbations to the dark energy density and pressure. As the sound speed drops below the speed of light, dark energy inhomogeneities increase, affecting both CMB and matter power spectra. We show that current data can put no significant constraints on the value of the sound speed when dark energy is purely a recent phenomenon, but can begin to show more interesting results for early dark energy models. For example, the best fit model for current data has a slight preference for dynamics (w(a)\ne-1), degrees of freedom distinct from quintessence (c_s\ne1), and early presence of dark energy (Omega_ de(a<<1)\ne0). Future data may open a new window on dark energy by measuring its spatial as well as time variation.
