We study gravitational wave production in an expanding Universe during the first stages following inflation, and investigate the consequences of the Gauss–Bonnet term on the inflationary parameters for a power-law inflation model with a GB coupling term. Moreover, we perform the analyses on the preheating parameters involving the number of e-folds $$N_{pre}$$
N
pre
, and the temperature of thermalization $$T_{th},$$
T
th
,
and show that it’s sensitive to the parameters n, and $$\gamma $$
γ
, the parameter $$\gamma $$
γ
is proposed to connect the density energy at the end of inflation to the preheating energy density. We set a correlation of gravitational wave energy density spectrum with the spectral index $$n_{s}$$
n
s
detected by the cosmic microwave background experiments. The density spectrum $$\varOmega _{gw}$$
Ω
gw
shows good consistency with observation for $$\gamma =$$
γ
=
$$10^{3}$$
10
3
and $$10^{6}$$
10
6
. Our findings suggest that the generation of gravitational waves (GWs) during preheating can satisfy the constraints from Planck’s data.
We propose a scenario where preheating occurs for a specific duration that is parametrized by an [Formula: see text]-folds number [Formula: see text], our results suggest a direct correlation between the preheating duration and the density of gravitational waves (GWs) produced during this phase. Moreover, we investigate the consequences of the inflationary parameters on the [Formula: see text]-attractor [Formula: see text] model in the small [Formula: see text] limits. In this framework, we perform investigations on the preheating parameters involving the number of [Formula: see text]-folds [Formula: see text], and the temperature of reheating [Formula: see text], then we show that the parameter [Formula: see text] associated with the [Formula: see text] model of [Formula: see text]-attractor inflation has a negligible effect on the preheating duration, and we demonstrate that gravitational wave generation during preheating satisfies the restrictions from Planck’s recent data.
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