2012
DOI: 10.1111/j.1365-2966.2012.21988.x
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Thawing versus tracker behaviour: observational evidence

Abstract: Currently there exist a variety of scalar field models that attempt to explain the late‐time acceleration of the Universe. This includes the standard canonical and non‐canonical scalar field models together with the recently proposed Galileon scalar field models. One can divide all these scalar field models into two broad categories, namely thawing and tracker classes. In this work we investigate the evidence for these models from presently available observational data using the Bayesian approach. We use the g… Show more

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Cited by 18 publications
(19 citation statements)
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“…Hence with a single equation of state parametrization, one can model both the thawing as well as freezing class of scalar field models. Recently, this parametrization has been used [23] to study the Bayesian Evidence for thawing/freezing class of the dark energy models using different observational results including WMAP-7 results.…”
Section: Introductionmentioning
confidence: 99%
“…Hence with a single equation of state parametrization, one can model both the thawing as well as freezing class of scalar field models. Recently, this parametrization has been used [23] to study the Bayesian Evidence for thawing/freezing class of the dark energy models using different observational results including WMAP-7 results.…”
Section: Introductionmentioning
confidence: 99%
“…Although a variety of potentials can give rise to both thawer and tracker potentials, it may be useful to have simple parametrization for the equation of state of the scalar field that broadly describes these two behaviours. The generalized chaplygin gas (GCG) equation of state described by p = −A/ρ α where A and α are two constant parameters, is useful for this purpose (Thakur et al 2012). For such a parametrization the dark energy equation of state is given by…”
Section: Thawing Vs Trackermentioning
confidence: 99%
“…We concentrate on the thawing class of scalar field models ( recent discussions argued that these are more favored than the tracking ones (Linder 2015) ). But to make the investigation complete, we also consider one particular parametrization (called GCG parametrization) (Thakur et al 2012) that broadly described both the thawing and tracker models and study the prospects of distinguishing these two behaviours using the HI intensity mapping survey by SKA. We also study the clustering on superhorizon scales where we can no longer ignore the scalar field fluctuations.…”
Section: Introductionmentioning
confidence: 99%
“…In this model, the equation of state of the scalar field is always very close to w = −1 and hence it behaves as dark energy without any fine tuning of the form of the potential, but one has to be fine tune the initial condition to get the right amount of scalar field energy density at present. One can use the different observational data to calculate the Bayesian Evidence for both thawing and freezing class of models [5]. The Bayesian Evidence is given by (5) where θ's are the model parameters, P (θ) is the prior probability distribution for the parameters θ's and L is the likelihood function.…”
Section: Dark Energy Modelsmentioning
confidence: 99%
“…If one considers the dark energy to be homogeneous, there is a significant evidence in favour of the thawing class of models. But assuming the dark energy to be clustered, both thawing and freezing class of models are equally preferres by the observational data [5].…”
Section: Dark Energy Modelsmentioning
confidence: 99%