Constraining the quintessential α-attractor inflation through dynamical horizon exit method

3Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In the present paper, we perform a sub-Planckian quantum mode analysis of linear cosmological perturbation in the inflaton field over a classical quasi de-Siter metric background by dynamical horizon exit (DHE) method. In this way, we probe the inflationary regime of a quintessential α-attractor model by analysing the COBE/Planck normalized power spectra, spectral indices, tensor to scalar ratio, number of e-folds, running of the spectral index and inflationary Hubble parameter in k-space. We compare our results with ordinary α-attractor E and T models and with that of Planck-2018 results. Our estimated values of ns and r lie within 68% CL with respect to Planck data for k=0.001–0.009 Mpc−1 for all values of α. The α values, obtained in our calculations satisfy various post inflationary constraints regarding preheating and reheating, reported in current literature. We observe that quintessence sets an upper bound of α=4.3 and thereby restricts the model from becoming of the power law type, making it more efficacious than ordinary α-attractors in explaining both inflation and dark energy. A striking observation in our analyses is that, unlike in our previous study, we find a continuous values of α within ≤α≤4.3 for the specified k range. At the end, we have shown that the model parameters constrained in this work give a very small vacuum density ∼10−117–10−115MP4 which is an essential criterion for current and future dark energy observations of the universe.

Cite

CITATION STYLE

APA

Sarkar, A., & Ghosh, B. (2023). Constraining the quintessential α-attractor inflation through dynamical horizon exit method. Physics of the Dark Universe, 41. https://doi.org/10.1016/j.dark.2023.101239

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free