English

Fitting the Constitution SNIa Data with Redshift Binned Parameterization Method

Cosmology and Nongalactic Astrophysics 2009-10-29 v5 General Relativity and Quantum Cosmology

Abstract

In this work, we explore the cosmological consequences of the recently released Constitution sample of 397 Type Ia supernovae (SNIa). By revisiting the Chevallier-Polarski-Linder (CPL) parameterization, we find that, for fitting the Constitution set alone, the behavior of dark energy (DE) significantly deviate from the cosmological constant Λ\Lambda, where the equation of state (EOS) ww and the energy density ρΛ\rho_{\Lambda} of DE will rapidly decrease along with the increase of redshift zz. Inspired by this clue, we separate the redshifts into different bins, and discuss the models of a constant ww or a constant ρΛ\rho_{\Lambda} in each bin, respectively. It is found that for fitting the Constitution set alone, ww and ρΛ\rho_{\Lambda} will also rapidly decrease along with the increase of zz, which is consistent with the result of CPL model. Moreover, a step function model in which ρΛ\rho_{\Lambda} rapidly decreases at redshift z0.331z\sim0.331 presents a significant improvement (Δχ2=4.361\Delta \chi^{2}=-4.361) over the CPL parameterization, and performs better than other DE models. We also plot the error bars of DE density of this model, and find that this model deviates from the cosmological constant Λ\Lambda at 68.3% confidence level (CL); this may arise from some biasing systematic errors in the handling of SNIa data, or more interestingly from the nature of DE itself. In addition, for models with same number of redshift bins, a piecewise constant ρΛ\rho_{\Lambda} model always performs better than a piecewise constant ww model; this shows the advantage of using ρΛ\rho_{\Lambda}, instead of ww, to probe the variation of DE.

Keywords

Cite

@article{arxiv.0905.0797,
  title  = {Fitting the Constitution SNIa Data with Redshift Binned Parameterization Method},
  author = {Qing-Guo Huang and Miao Li and Xiao-Dong Li and Shuang Wang},
  journal= {arXiv preprint arXiv:0905.0797},
  year   = {2009}
}

Comments

15 pages, 6 figures, 5 tables, to appear in PRD

R2 v1 2026-06-21T12:58:45.977Z