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Title: Towards testing interacting cosmology by distant supernovae

Journal Article · · Physical Review. D, Particles Fields
; ;  [1]
  1. Astronomical Observatory, Jagiellonian University, Orla 171, 30-244 Cracow (Poland)

We investigate the possibility of testing cosmological models with interaction between dark matter and the dark energy sector. We assume the standard Friedmann-Robertson-Walker (FRW) model while the so called the energy conservation condition is interpreted locally in terms of energy transfer. We analyze two forms of the dark energy sector: the cosmological constant and the phantom field. We find a simple exact solution of the models in which energy transfer is described by a Cardassian like term in the relation of H{sup 2}(z), where H is Hubble's function and z is redshift. The considered models have two additional parameters ({omega}{sub int},n) (apart from the parameters of the {lambda}CDM model) which can be tested using SNIa data. In the estimation of the model parameters both Riess et al.'s and Astier et al.'s samples are used. We also confront the quality of statistical fits for both the {lambda}CDM model and the interacting models with the help of the Akaike and Bayesian information criteria. Our conclusion from the standard best fit method is that the interacting models explain the acceleration of the Universe better but they give rise to a universe with high matter density. However, using the tools of information criteria we find that the two new parameters play an insufficient role in improving the fit to SNIa data and the standard {lambda}CDM model is still preferred. We conclude that high precision detection of high redshift supernovae could supply data capable of justifying the adoption of new parameters.

OSTI ID:
20782620
Journal Information:
Physical Review. D, Particles Fields, Vol. 73, Issue 6; Other Information: DOI: 10.1103/PhysRevD.73.063516; (c) 2006 The American Physical Society; Country of input: International Atomic Energy Agency (IAEA); ISSN 0556-2821
Country of Publication:
United States
Language:
English