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arxiv: 1303.4014 · v2 · submitted 2013-03-16 · 🌌 astro-ph.CO · gr-qc

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Constraints on the Tensor-to-Scalar ratio for non-power-law models

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classification 🌌 astro-ph.CO gr-qc
keywords constraintscurrentmodelmodelspower-lawobservationsratiotensor-to-scalar
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Recent cosmological observations hint at a deviation from the simple power-law form of the primordial spectrum of curvature perturbations. In this paper we show that in the presence of a tensor component, a turn-over in the initial spectrum is preferred by current observations, and hence non-power-law models ought to be considered. For instance, for a power-law parameterisation with both a tensor component and running parameter, current data show a preference for a negative running at more than $2.5\sigma$ C.L. As a consequence of this deviation from a power-law, constraints on the tensor-to-scalar ratio $r$ are slightly broader. We also present constraints on the inflationary parameters for a model-independent reconstruction and the Lasenby & Doran (LD) model. In particular, the constraints on the tensor-to-scalar ratio from the LD model are: $r_{\rm LD}=0.11\pm{0.024}$. In addition to current data, we show expected constraints from Planck-like and CMB-Pol sensitivity experiments by using Markov-Chain-Monte-Carlo sampling chains. For all the models, we have included the Bayesian Evidence to perform a model selection analysis. The Bayes factor, using current observations, shows a strong preference for the LD model over the standard power-law parameterisation, and provides an insight into the accuracy of differentiating models through future surveys.

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