Gravitational wave production after inflation for a hybrid inflationary model

Author:

Thomas Rinsy12ORCID,Thomas Jobil3,Surendran Supin P.2,Joy Minu4ORCID

Affiliation:

1. Department of Physics, CMS College, Kottayam 686001, India

2. School of Pure and Applied Physics, Mahatma Gandhi University, Kottayam 686560, India

3. Department of Physics, Indian Institute of Technology, Hyderabad 502285, India

4. Department of Physics, Alphonsa College, Pala 686574, India

Abstract

We discuss a cosmological scenario with a stochastic background of gravitational waves sourced by the tensor perturbation due to a hybrid inflationary model with cubic potential. The tensor-to-scalar ratio for the present hybrid inflationary model is obtained as [Formula: see text]. Gravitational wave spectrum of this stochastic background, for large-scale CMB modes, [Formula: see text] to [Formula: see text] is studied. The present-day energy spectrum of gravitational waves [Formula: see text] is sensitively related to the tensor power spectrum and r which is, in turn, dependent on the unknown physics of the early cosmos. This uncertainty is characterized by two parameters: [Formula: see text] logarithmic average over the primordial tensor spectral index and [Formula: see text] logarithmic average over the effective equation-of-state parameter. Thus, exact constraints in the [Formula: see text]-[Formula: see text] plane can be obtained by comparing theoretical constraints of our model on r and [Formula: see text]. We obtain a limit on [Formula: see text] around the modes probed by CMB scales.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Space and Planetary Science,Astronomy and Astrophysics,Mathematical Physics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3