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Bayesian analysis of the (generalized) Chaplygin gas and cosmological constant models using the 157 gold SNe Ia data
2005
Classical and quantum gravity
The generalized Chaplygin gas model (GCGM) contains 5 free parameters, here, they are constrained through the type Ia supernovae data, i.e., the "gold sample" of 157 supernovae data. Negative and large positive values for α are taken into account. The analysis is made by employing the Bayesian statistics and the prediction for each parameter is obtained by marginalizing on the remained ones. This procedure leads to the following predictions: α = - 0.75^+4.04_-0.24, H_0=65.00^+1.77_-1.75, Ω_k0 =
doi:10.1088/0264-9381/22/14/001
fatcat:daldyxbnzfcana2jwrnmiysspu