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The case for dynamical dark energy revisited

Ujjaini Alam, Varun Sahni, A. A. Starobinsky

TL;DR

The paper investigates whether dark energy is dynamical by performing a model-independent reconstruction of the expansion history $H(z)$ in a flat universe, using a flexible ansatz to relate $H(z)$, $ ho_{DE}$, and the equation of state $w(z)$. By fitting to the Riess et al. Gold supernova sample and incorporating CMB information, the authors find that, without priors on $\,Ω_{0m}$ and $h$, evolving dark energy ($w_0<-1$ today) provides a better fit than ΛCDM, with a transition from deceleration to acceleration around $z_T≈0.39$. When ΛCDM-based CMB priors are imposed, the inferred evolution weakens, yielding $z_T≈0.57$ and $w_0$ closer to −1, implying a closer alignment with ΛCDM. The results show strong dependence on the SN data sampling and priors, highlighting the need for more high-redshift data and independent constraints on $\,Ω_{0m}$ and $h$ to robustly determine the nature of dark energy.

Abstract

We investigate the behaviour of dark energy using the recently released supernova data of Riess et al ~(2004) and a model independent parameterization for dark energy (DE). We find that, if no priors are imposed on $Ω_{0m}$ and $h$, DE which evolves with time provides a better fit to the SNe data than $Λ$CDM. This is also true if we include results from the WMAP CMB data. From a joint analysis of SNe+CMB, the best-fit DE model has $w_0 < -1$ at the present epoch and the transition from deceleration to acceleration occurs at $z_T = 0.39 \pm 0.03$. However, DE evolution becomes weaker if the $Λ$CDM based CMB results $Ω_{0m} = 0.27 \pm 0.04$, $h = 0.71 \pm 0.06$ are incorporated in the analysis. In this case, $z_T = 0.57 \pm 0.07$. Our results also show that the extent of DE evolution is sensitive to the manner in which the supernova data is sampled.

The case for dynamical dark energy revisited

TL;DR

The paper investigates whether dark energy is dynamical by performing a model-independent reconstruction of the expansion history in a flat universe, using a flexible ansatz to relate , , and the equation of state . By fitting to the Riess et al. Gold supernova sample and incorporating CMB information, the authors find that, without priors on and , evolving dark energy ( today) provides a better fit than ΛCDM, with a transition from deceleration to acceleration around . When ΛCDM-based CMB priors are imposed, the inferred evolution weakens, yielding and closer to −1, implying a closer alignment with ΛCDM. The results show strong dependence on the SN data sampling and priors, highlighting the need for more high-redshift data and independent constraints on and to robustly determine the nature of dark energy.

Abstract

We investigate the behaviour of dark energy using the recently released supernova data of Riess et al ~(2004) and a model independent parameterization for dark energy (DE). We find that, if no priors are imposed on and , DE which evolves with time provides a better fit to the SNe data than CDM. This is also true if we include results from the WMAP CMB data. From a joint analysis of SNe+CMB, the best-fit DE model has at the present epoch and the transition from deceleration to acceleration occurs at . However, DE evolution becomes weaker if the CDM based CMB results , are incorporated in the analysis. In this case, . Our results also show that the extent of DE evolution is sensitive to the manner in which the supernova data is sampled.

Paper Structure

This paper contains 6 sections, 11 equations, 8 figures, 3 tables.

Figures (8)

  • Figure 1: $1\sigma, \ 2\sigma, \ 3\sigma$ confidence levels in the $w_0-w_1$ space for the ansatz (\ref{['eq:state1']}) for $\Omega_{0 \rm m}=0.3$, using different subsets of data from riess04. The filled circle represents the $\Lambda$CDM point.
  • Figure 2: The logarithmic variation of dark energy density $\rho_{\rm DE}(z)/\rho_{0{\rm c}}$ (where $\rho_{0{\rm c}}=3 H_0^2/8 \pi G$ is the present critical energy density) with redshift for $\Omega_{0 \rm m}=0.3$ using different subsets of data from riess04, for the ansatz (\ref{['eq:taylor']}). In each panel, the thick solid line shows the best-fit, the light grey contour represents the $1\sigma$ confidence level, and the dark grey contour represents the $2\sigma$ confidence level around the best-fit. The dotted line denotes matter density $\Omega_{0 \rm m} (1+z)^3$, and the dashed horizontal line denotes $\Lambda$CDM.
  • Figure 3: The variation of equation of state of dark energy $w(z)$ with redshift for $\Omega_{0 \rm m}=0.3$ using different subsets of data from riess04, for the ansatz (\ref{['eq:taylor']}). In each panel, the thick solid line shows the best-fit, the light grey contour represents the $1\sigma$ confidence level, and the dark grey contour represents the $2\sigma$ confidence level around the best-fit. The dashed horizontal line denotes $\Lambda$CDM.
  • Figure 4: The ($A_1,A_2$) parameter space for the ansatz (\ref{['eq:taylor']}) for different values of $\Omega_{0 \rm m}$, using the 'Gold' sample of SNe from riess04. The star in each panel marks the best-fit point, and the solid contours around it mark the $1\sigma, 2\sigma, 3\sigma$ confidence levels around it. The filled circle represents the $\Lambda$CDM point. The corresponding $\chi^2$ for the best-fit points are given in table \ref{['tab:chi']}.
  • Figure 5: The logarithmic variation of dark energy density $\rho_{\rm DE}(z)/\rho_{0{\rm c}}$ (where $\rho_{0{\rm c}}=3 H_0^2/8 \pi G$ is the present critical energy density) with redshift for different values of $\Omega_{0 \rm m}$, using the 'Gold' sample of SNe from riess04. The reconstruction is done using the polynomial fit to dark energy, ansatz (\ref{['eq:taylor']}). In each panel, the thick solid line shows the best-fit, the light grey contour represents the $1\sigma$ confidence level, and the dark grey contour represents the $2\sigma$ confidence level around the best-fit. The dotted line denotes matter density $\Omega_{0 \rm m} (1+z)^3$, and the dashed horizontal line denotes $\Lambda$CDM.
  • ...and 3 more figures