Gauss-Bonnet Cosmology: large-temperature behaviour and bounds from Gravitational Waves
Anirban Biswas (Yonsei U.), Arpan Kar (CQUeST, Seoul), Bum-Hoon Lee, (CQUeST, Seoul, Sogang U.), Hocheol Lee (CQUeST, Seoul, Sogang U.),, Wonwoo Lee (CQUeST, Seoul), Stefano Scopel (CQUeST, Seoul, Sogang U.),, Liliana Velasco-Sevilla (CQUeST, Seoul, Sogang U.), Lu Yin (CQUeST

TL;DR
This paper analyzes the high-temperature behavior of Gauss-Bonnet cosmology, revealing attractor states, evolution paths, and how the model enhances gravitational wave backgrounds, leading to new bounds on the reheating temperature from BBN constraints.
Contribution
It provides a detailed phase space analysis of dilaton-Einstein-Gauss-Bonnet cosmology at high temperatures, identifying attractors and evolution paths, and derives bounds on reheating temperature from gravitational wave and BBN data.
Findings
Identification of three main attractors in the high-temperature regime.
Eight possible evolution paths in the autonomous system.
Enhanced gravitational wave background in certain parameter regions.
Abstract
We provide a transparent discussion of the high temperature asymptotic behaviour of Cosmology in a dilaton-Einstein-Gauss-Bonnet (dEGB) scenario of modified gravity with vanishing scalar potential. In particular, we show that it has a clear interpretation in terms of only three attractors (stable critical points) of a set of autonomous differential equations: , and , where is the equation of state, defined as the ratio of the total pressure and the total energy density. All the possible different high-temperature evolution histories of the model are exhausted by only eight paths in the flow of the set of the autonomous differential equations. Our discussion clearly explains why five out of them are characterized by a swift transition of the system toward the attractor, while the remaining three show a more convoluted evolution,…
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Taxonomy
TopicsCosmology and Gravitation Theories · Black Holes and Theoretical Physics · Pulsars and Gravitational Waves Research
