Reconstruction of interacting dark energy models from parameterizations

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 8 figures

Scientific paper

10.1103/PhysRevD.75.083509

Models with interacting dark energy can alleviate the cosmic coincidence problem by allowing dark matter and dark energy to evolve in a similar fashion. At a fundamental level, these models are specified by choosing a functional form for the scalar potential and for the interaction term. However, in order to compare to observational data it is usually more convenient to use parameterizations of the dark energy equation of state and the evolution of the dark matter energy density. Once the relevant parameters are fitted it is important to obtain the shape of the fundamental functions. In this paper I show how to reconstruct the scalar potential and the scalar interaction with dark matter from general parameterizations. I give a few examples and show that it is possible for the effective equation of state for the scalar field to cross the phantom barrier when interactions are allowed. I analyze the uncertainties in the reconstructed potential arising from foreseen errors in the estimation of fit parameters and point out that a Yukawa-like linear interaction results from a simple parameterization of the coupling.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Reconstruction of interacting dark energy models from parameterizations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Reconstruction of interacting dark energy models from parameterizations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reconstruction of interacting dark energy models from parameterizations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-722284

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.