4.7 Article

Testing the interaction model with cosmological data and gamma-ray bursts

Journal

PHYSICS LETTERS B
Volume 718, Issue 3, Pages 699-703

Publisher

ELSEVIER
DOI: 10.1016/j.physletb.2012.11.002

Keywords

Interaction dark energy; Gamma-ray bursts; Cosmological observations

Funding

  1. National Natural Science Foundation of China under the Distinguished Young Scholar grant [10825313]
  2. Ministry of Science and Technology National Basic Science Program (Project 973) [2012CB821804]
  3. Fundamental Research Funds for the Central Universities
  4. Scientific Research Foundation of Beijing Normal University
  5. National Natural Science Foundation of China [10935013, 11175270]
  6. CQ CSTC [2009BA4050]
  7. CQ CMEC [KJTD201016, KJ110523]
  8. Nature Science Foundation of Chongqing University of Posts and Telecommunications [A2011-27]

Ask authors/readers for more resources

We use the new gamma-ray bursts (GRBs) data, combined with the baryon acoustic oscillation (BAO) observation from the spectroscopic Sloan digital sky survey (SDSS) data release, the newly obtained A parameter at z = 0.6 from the WiggleZ dark energy survey, the cosmic microwave background (CMB) observations from the 7-year Wilkinson microwave anisotropy probe (WMAP7) results, and the type la supernovae (SNeIa) from Union2 set, to constrain a phenomenological model describing possible interactions between dark energy and dark matter, which was proposed to alleviate the coincidence problem of the standard ACDM model. By using the Markov chain Monte Carlo (MCMC) method, we obtain the marginalized 1 sigma constraints Omega(m) = 0.2886 +/- 0.0135, r(m) = 0.0047 +/- 0.0046, and w(X) = -1.0658 +/- 0.0564. We also consider other combinations of these data for comparison. These results show that: (1) the energy of dark matter is slightly transferring to that of dark energy; (2) even though the GRBs + BAO + CMB data present less stringent constraints than SNe + BAO + CMB data do, the GRBs can help eliminate the degeneracies among parameters. (c) 2012 Elsevier B.V. All rights reserved.

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