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Title: |
| Probing the cosmographic parameters to distinguish between dark energy and modified gravity models |
Authors: |
| Wang, F. Y.; Dai, Z. G.; Qi, Shi |
Affiliation: |
| AA(Department of Astronomy, Nanjing University, Nanjing 210093, PR China fayinwang@nju.edu.cn ; Department of Astronomy, University of Texas at Austin, Austin, TX 78712, USA), AB(Department of Astronomy, Nanjing University, Nanjing 210093, PR China), AC(Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008, PR China ; Joint Center for Particle, Nuclear Physics and Cosmology, Nanjing University - Purple Mountain Observatory, Nanjing 210093, PR China) |
Publication: |
| Astronomy and Astrophysics, Volume 507, Issue 1, 2009, pp.53-59 (A&A Homepage) |
Publication Date: |
| 11/2009 |
Origin: |
| EDP Sciences |
Keywords: |
| gamma rays: bursts, cosmology: cosmological parameters, cosmology: distance scale |
DOI: |
| 10.1051/0004-6361/200911998 |
Bibliographic Code: |
| 2009A&A...507...53W |
Abstract
Aims: In this paper we investigate the deceleration, jerk and snap parameters to distinguish between the dark energy and modified gravity models using high redshift gamma-ray bursts (GRBs) and supernovae (SNe).
Methods: We first derive the expressions of deceleration, jerk and snap parameters in dark energy and modified gravity models. In order to constrain the cosmographic parameters, we calibrate the GRB luminosity relations without assuming any cosmological models using SNe Ia. Then we constrain the model parameters (including dark energy and modified gravity models) using type Ia supernovae and gamma-ray bursts. Finally we calculate the cosmographic parameters. GRBs can extend the redshift-distance relation up to high redshifts, because they can be detected to high redshifts.
Results: We find that the statefinder pair (r,s) could not be used to distinguish between some dark energy and modified gravity models, but these models could be differentiated by the snap parameter. Using the model-independent constraints on cosmographic parameters, we conclude that the ΛCDM model is consistent with current data.
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