Bayesian analysis of a Unified Dark Matter model with transition: can it alleviate the H_0 tension?
The Open Journal of Astrophysics(2023)
摘要
We consider cosmological models in which Dark Matter (DM) and Dark Energy
(DE) are described by a single component, dubbed Unified Dark Matter (UDM)
models, in which the DE-like part can have an equation state <-1 at late
times without violating the null energy condition. In this paper, we
investigate whether this feature can relieve the Hubble tension. We perform a
Bayesian analysis of the model using SNIa data from Pantheon, the CMB distance
prior from Planck, and the prior on the absolute magnitude M of SNIa from
SH0ES. Using the prior, the data suggests a smooth transition taking place at
redshifts z_ t≃ 2.85, which provides a value H_0=69.64± 0.88
for the Hubble constant, slightly alleviating the tension by ∼ 1.5 σ.
Without it, we obtain H_0 = 67.6^+1.3_-0.82 and a transition happening at
z_t=1.36. We also discuss the importance of using the prior on M for
constraining this model.
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关键词
unified dark matter models,dark matter,bayesian analysis,fast transition
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