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Phys. Rev. D 80, 083515 (2009) [8 pages]

Fitting the constitution type Ia supernova data with the redshift-binned parametrization method

Qing-Guo Huang,1,2 Miao Li,2,3 Xiao-Dong Li,4,3 and Shuang Wang5,3
1School of Physics, Korea Institute of Advanced Study, Seoul 130722, Korea
2Kavli Institute for Theoretical Physics China, Chinese Academy of Sciences, Beijing 100190, China
3Key Laboratory of Frontiers in Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
4Interdisciplinary Center for Theoretical Study, University of Science and Technology of China, Hefei 230026, China
5Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China

Received 1 July 2009; published 15 October 2009

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) parametrization, we find that, for fitting the Constitution set alone, the behavior of dark energy (DE) significantly deviates from the cosmological constant Lambda, where the equation of state (EOS) w and the energy density rhoLambda of DE will rapidly decrease along with the increase of redshift z. Inspired by this clue, we separate the redshifts into different bins, and discuss the models of a constant w or a constant rhoLambda in each bin, respectively. It is found that for fitting the Constitution set alone, w and rhoLambda will also rapidly decrease along with the increase of z, which is consistent with the result of CPL model. Moreover, a step function model in which rhoLambda rapidly decreases at redshift z~0.331 presents a significant improvement (Deltachi2=-4.361) over the CPL parametrization, 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 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 rhoLambda model always performs better than a piecewise constant w model; this shows the advantage of using rhoLambda, instead of w, to probe the variation of DE.

©2009 The American Physical Society

URL: http://link.aps.org/doi/10.1103/PhysRevD.80.083515
DOI: 10.1103/PhysRevD.80.083515
PACS: 95.36.+x; 98.80.-k; 98.80.Es

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