Abstract

In the present paper, we investigate the dark energy equation of state using the Gaussian processes analysis method, without confining a particular parametrization. The reconstruction is carried out by adopting the background data including supernova and Hubble parameter, and perturbation data from the growth rate. It suggests that the background and perturbation data both present a hint of dynamical dark energy. However, the perturbation data have a more promising potential to distinguish non-evolution dark energy including the cosmological constant model. We also test the influence of some parameters on the reconstruction. We find that the matter density parameter Omega _{m0} has a slight effect on the background data reconstruction, but has a notable influence on the perturbation data reconstruction. While the Hubble constant presents a significant influence on the reconstruction from background data.

Highlights

  • Above understanding of the dark energy is a parametrization on w

  • We note that the primary task in this Gaussian processes is to determine the covariance function at different redshift points using the observational data

  • They did not consider the effect of matter density parameter

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Summary

Introduction

Above understanding of the dark energy is a parametrization on w. This approach does not rely on any artificial dark energy template It can reconstruct the w directly via its relationship with the observational variable. We note that the primary task in this Gaussian processes is to determine the covariance function at different redshift points using the observational data. Motivated by the advantage of growth rate data, we expect to obtain a new model-independent constraint on the dark energy. Another difference from previous work is that the SNIa and H (z) data here are used as a combination of background data, not two single ones.

Theoretical basis
Gaussian processes
Result
Effect of the parameter m0
Effect of the parameter H0
Reconstruction from the RSD data
Conclusion and discussion
Full Text
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