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Primordial Non-Gaussianity from G-inflation

Fengge Zhang    Yungui Gong11footnotetext: Corresponding author.    Jiong Lin    Yizhou Lu    Zhu Yi
Abstract

Enormous information about interactions is contained in the non-Gaussianities of the primordial curvature perturbations, which are essential to break the degeneracy of inflationary models. We study the primordial bispectra for G-inflation models predicting both sharp and broad peaks in the primordial scalar power spectrum. We calculate the non-Gaussianity parameter fNLf_{\mathrm{NL}} in the equilateral limit and squeezed limit numerically, and confirm that the consistency relation holds in these models. Even though fNLf_{\mathrm{NL}} becomes large at the scales before the power spectrum reaches the peak and the scales where there are wiggles in the power spectrum, it remains to be small at the peak scales. Therefore, the contributions of non-Gaussianity to the scalar induced secondary gravitational waves and primordial black hole abundance are expected to be negligible.

1 Introduction

Inflation solves the standard cosmological problems such as the flatness, horizon and monopole problems [1, 2, 3, 4, 5, 6, 7], and quantum fluctuations of the inflaton during inflation seed the large-scale structure formation and leave imprints on the cosmic microwave background which can be tested by observations [8, 9, 10, 11, 12, 13]. The Planck 2018 constraints on the amplitude 𝒜ζ\mathcal{A}_{\zeta} and the spectral index nsn_{\mathrm{s}} of the power spectrum of the primordial curvature perturbations ζ\zeta are ln[1010𝒜ζ]=3.044±0.014\ln[10^{10}\mathcal{A}_{\zeta}]=3.044\pm{0.014} and ns=0.9649±0.0042n_{\mathrm{s}}=0.9649\pm 0.0042 [12], and the non-detection of primordial gravitational waves limits the tensor-to-scalar ratio to be r0.05<0.06r_{0.05}<0.06 (95% C.L.) [12, 14].

Since two-point correlation functions describe freely propagating particles in cosmological background, so the information drawn from the power spectra, the Fourier transforms of the two-point correlation functions is limited [15, 16, 17]. To obtain information about interactions and to break the degeneracy of inflationary models, higher order correlation functions, i.e. the non-Gaussianities of the primordial curvature perturbations need to be considered [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]. While we need only the quadratic action to calculate the two-point correlation functions, we need at least cubic-order action to include interaction terms which are responsible for three-point and higher-order correlation functions. For canonical single field inflation under slow-roll conditions, the non-Gaussianity is negligible [21]. If a significant non-Gaussianity is observed, then the class of canonical single field slow-roll inflationary models can be ruled out. The Planck 2018 constraints on the non-Gaussianity parameter are fNLlocal=0.9±5.1f^{\text{local}}_{\text{NL}}=-0.9\pm 5.1, fNLequil=26±47f^{\text{equil}}_{\text{NL}}=-26\pm 47 and fNLortho=38±24f^{\text{ortho}}_{\text{NL}}=-38\pm 24 at the pivotal scale k=0.05k_{*}=0.05 Mpc-1 [30].

To get large non-Gaussianities, we need to consider inflationary models with non-canonical fields, or models violating the slow-roll conditions. An interesting class of models with the enhancement of the power spectrum of primordial curvature perturbations at small scales attracted a lot of attentions recently [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61]. With the enhancement of the power spectrum at small scales, significant abundances of primordial black holes (PBHs) which may be the candidate of dark matter (DM) can be produced when the perturbations reenter the horizon during radiation domination [62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74], accompanied by the generation of scalar induced secondary gravitational waves (SIGWs) which consist of the stochastic gravitational-wave background [75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105]. The observations of both PBH DM and SIGWs can be used to test the models. One particular class of models is G-inflation model [106, 107] with a peak function in the non-canonical kinetic term [53, 54, 55, 56]. The model can generate both sharp and broad peaks in the power spectrum without much fine-tuning of the model parameters. To enhance the power spectrum at small scales and produce abundant PBH DM and observational SIGWs, the violation of slow-roll conditions is inevitable. Therefore, the primordial non-Gaussianity in the models may possess different features which can be taken as a useful tool to discriminate them, and large non-Gaussianities may arise at small scales. Then the impact of large non-Gaussianities on the abundance of PBHs and the power spectrum of SIGWs needs to be accounted for.

Based on this motivation, we study the primordial non-Gussianities from the G-inflation model. The bispectra, the Fourier transforms of three-point correlation functions ζζζ{\langle\zeta\zeta\zeta\rangle} of the curvature perturbations, represent the lowest order statistics able to distinguish non-Gaussian from Gaussian perturbations [16]. We numerically compute the bispectra and the relevant non-Gaussianity parameter fNL(k1,k2,k3)f_{\mathrm{NL}}(k_{1},k_{2},k_{3}) in the equilateral limit k1=k2=k3k_{1}=k_{2}=k_{3}, and the squeezed limit k3k1=k2k_{3}\ll k_{1}=k_{2}. In the squeezed limit, the bispectrum is related to the power spectrum by the consistency relation [21, 22] for single field inflation, no matter whether the slow-roll conditions are violated or not. It can be taken as a check of our numerical computation.

This paper is organized as follows. In section II, we briefly review the calculation of non-Gaussianity first, then we present our results. We also discuss the effects of non-Gaussianities on the SIGWs and PBHs. The conclusions are drawn in section III.

2 Non-Gaussianity from G-inflation

The non-Gaussianity is negligible for a canonical single field inflation under slow-roll conditions [21, 16, 15]. To get a large non-Gaussianity, a natural and feasible way is to break the slow roll conditions. In this section, we study the non-Gaussianity from a class of generalized G-inflation models with a peak function in the non-canonical kinetic term.

2.1 Non-Gaussianity and G-inflation

The action of G-inflation model with a non-canonical kinetic term is [53, 54, 55]

S=d4xg[R2+[1+G(ϕ)]XV(ϕ)],S=\int d^{4}x\sqrt{-g}\left[\frac{R}{2}+[1+G(\phi)]X-V(\phi)\right], (2.1)

where X=μϕμϕ/2X=-\nabla_{\mu}\phi\nabla^{\mu}\phi/2, G(ϕ)G(\phi) is a general function with a peak, V(ϕ)V(\phi) is the inflationary potential and we choose 8πG=18\pi G=1. The non-canonical term G(ϕ)G(\phi) appears in Brans-Dicke theory of gravity, k-inflation and G-inflation.

From the action (2.1), we get the background equations

3H2=12ϕ˙2+V(ϕ)+12ϕ˙2G(ϕ),\displaystyle 3H^{2}=\frac{1}{2}\dot{\phi}^{2}+V(\phi)+\frac{1}{2}\dot{\phi}^{2}G(\phi), (2.2)
H˙=12[1+G(ϕ)]ϕ˙2,\displaystyle\dot{H}=-\frac{1}{2}[1+G(\phi)]\dot{\phi}^{2}, (2.3)
ϕ¨+3Hϕ˙+Vϕ+ϕ˙2Gϕ/21+G(ϕ)=0,\displaystyle\ddot{\phi}+3H\dot{\phi}+\frac{V_{\phi}+\dot{\phi}^{2}G_{\phi}/2}{1+G(\phi)}=0, (2.4)

where the Hubble parameter H=a˙/aH=\dot{a}/a, Gϕ=dG(ϕ)/dϕG_{\phi}=dG(\phi)/d\phi and Vϕ=dV/dϕV_{\phi}=dV/d\phi.

Perturbing the action (2.1) to the second order, we get the quadratic action that determines the evolution of comoving curvature perturbation ζ\zeta

S2=12𝑑τd3xz2[(ζ)2(ζ)2],S_{2}=\frac{1}{2}\int d\tau d^{3}xz^{2}\left[\left(\zeta^{\prime}\right)^{2}-(\partial\zeta)^{2}\right], (2.5)

where z2=2a2ϵz^{2}=2a^{2}\epsilon, the prime denotes the derivative with respect to the conformal time τ{\tau}, dτ=a(t)dtd\tau=a(t)dt and the slow-roll parameters ϵ\epsilon and η\eta are

ϵ=H˙H2,η=ϵ˙Hϵ.\epsilon=-\frac{\dot{H}}{H^{2}},\ \eta=\frac{\dot{\epsilon}}{H\epsilon}. (2.6)

Varying the quadratic action with respect to ζ{\zeta}, we obtain the Mukhanov-Sasaki equation [108, 109]

ζk′′+2zzζk+k2ζk=0.\zeta_{k}^{\prime\prime}+2\frac{z^{\prime}}{z}\zeta_{k}^{\prime}+k^{2}\zeta_{k}=0. (2.7)

Solving the above Mukhanov-Sasaki equation (2.7), we can calculate the two-point correlation function and the power spectrum as follows

ζ^𝒌ζ^𝒌=(2π)3δ3(𝒌+𝒌)|ζk|2=(2π)3δ3(𝒌+𝒌)Pζ(k),\begin{split}\langle\hat{\zeta}_{\bm{k}}\hat{\zeta}_{\bm{k}^{\prime}}\rangle&=(2\pi)^{3}\delta^{3}\left(\bm{k}+\bm{k}^{\prime}\right)|\zeta_{k}|^{2}\\ &=(2\pi)^{3}\delta^{3}\left(\bm{k}+\bm{k}^{\prime}\right)P_{\zeta}\left(k\right),\end{split} (2.8)

where the mode function ζk\zeta_{k} is the solution to Eq. (2.7), ζ^𝒌\hat{\zeta}_{\bm{k}} is the quantum field of the curvature perturbation, the vacuum is chosen to be Bunch-Davies vacuum and the power spectrum is evaluated at late times when relevant modes are frozen. The dimensionless scalar power spectrum and the scalar power index are defined as

Δζ2=k32π2Pζ(k),\Delta^{2}_{\zeta}=\frac{k^{3}}{2\pi^{2}}P_{\zeta}\left(k\right), (2.9)
ns(k)1=dlnΔζ2dlnk.n_{\mathrm{s}}(k)-1=\frac{d\mathrm{ln}\Delta^{2}_{\zeta}}{d\mathrm{ln}k}. (2.10)

The bispectrum BζB_{\zeta} is related with the three-point function as [110, 111]

ζ^𝒌1ζ^𝒌2ζ^𝒌3=(2π)3δ3(𝒌1+𝒌2+𝒌3)Bζ(k1,k2,k3),\left\langle\hat{\zeta}_{\bm{k}_{1}}\hat{\zeta}_{\bm{k}_{2}}\hat{\zeta}_{\bm{k}_{3}}\right\rangle=(2\pi)^{3}\delta^{3}\left(\bm{k}_{1}+\bm{k}_{2}+\bm{k}_{3}\right)B_{\zeta}\left(k_{1},k_{2},k_{3}\right), (2.11)

where the bispectrum Bζ(k1,k2,k3)B_{\zeta}(k_{1},k_{2},k_{3}) is [112, 113, 114]

Bζ(k1,k2,k3)=Σi=110Bζi(k1,k2,k3),B_{\zeta}(k_{1},k_{2},k_{3})=\Sigma^{10}_{i=1}B^{i}_{\zeta}(k_{1},k_{2},k_{3}), (2.12)
Bζ1(k1,k2,k3)=4Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτ𝑑τa2ϵ2{ζk1(τ)ζk2(τ)ζk3(τ)+perm}],\begin{split}B^{1}_{\zeta}(k_{1},k_{2},k_{3})=&-4\operatorname{Im}\left[\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon^{2}\left\{\zeta^{*}_{{k}_{1}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{2}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right],\end{split} (2.13)
Bζ2(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτdτa2ϵ2{(k12k22k32)ζk1(τ)ζk2(τ)ζk3(τ)+perm}],\begin{split}B^{2}_{\zeta}(k_{1},k_{2},k_{3})=&2\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\right.\\ &\left.\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon^{2}\left\{(k^{2}_{1}-k^{2}_{2}-k^{2}_{3})\zeta^{*}_{{k}_{1}}(\tau)\zeta^{*}_{{k}_{2}}(\tau)\zeta^{*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right],\end{split} (2.14)
Bζ3(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτdτa2ϵ2{(k22k12k32k12+k12k22k32k22)ζk1(τ)ζk2(τ)ζk3(τ)+perm}],\begin{split}B^{3}_{\zeta}(k_{1},k_{2},k_{3})=&2\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\right.\\ &\left.\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon^{2}\left\{\left(\frac{k^{2}_{2}-k^{2}_{1}-k^{2}_{3}}{k^{2}_{1}}+\frac{k^{2}_{1}-k^{2}_{2}-k^{2}_{3}}{k^{2}_{2}}\right)\zeta^{{}^{\prime}*}_{{k}_{1}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{2}}(\tau)\zeta^{*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right],\end{split} (2.15)
Bζ4(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτ𝑑τa2ϵη{ζk1(τ)ζk2(τ)ζk3(τ)+perm}],B^{4}_{\zeta}(k_{1},k_{2},k_{3})=-2\operatorname{Im}\left[\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon\eta^{\prime}\left\{\zeta^{*}_{{k}_{1}}(\tau)\zeta^{*}_{{k}_{2}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right], (2.16)
Bζ5(k1,k2,k3)=12Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτdτa2ϵ3{(k22k12k32k12+k12k22k32k22)ζk1(τ)ζk2(τ)ζk3(τ)+perm}],\begin{split}B^{5}_{\zeta}(k_{1},k_{2},k_{3})=&-\frac{1}{2}\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\right.\\ &\left.\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon^{3}\left\{\left(\frac{k^{2}_{2}-k^{2}_{1}-k^{2}_{3}}{k^{2}_{1}}+\frac{k^{2}_{1}-k^{2}_{2}-k^{2}_{3}}{k^{2}_{2}}\right)\zeta^{{}^{\prime}*}_{{k}_{1}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{2}}(\tau)\zeta^{*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right],\end{split} (2.17)
Bζ6(k1,k2,k3)=12Im[ζk1(τ)ζk2(τ)ζk3(τ)τiτdτa2ϵ3{k32(k32k12k22)k12k22ζk1(τ)ζk2(τ)ζk3(τ)+perm}],\begin{split}B^{6}_{\zeta}(k_{1},k_{2},k_{3})=&-\frac{1}{2}\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{{k}_{1}}(\tau_{*})\zeta_{{k}_{2}}(\tau_{*})\zeta_{{k}_{3}}(\tau_{*})\right.\\ &\left.\int_{\tau_{i}}^{\tau_{*}}d\tau a^{2}\epsilon^{3}\left\{\frac{k^{2}_{3}\left(k^{2}_{3}-k^{2}_{1}-k^{2}_{2}\right)}{k^{2}_{1}k^{2}_{2}}\zeta^{{}^{\prime}*}_{{k}_{1}}(\tau)\zeta^{{}^{\prime}*}_{{k}_{2}}(\tau)\zeta^{*}_{{k}_{3}}(\tau)+\mathrm{perm}\right\}\right],\end{split} (2.18)
Bζ7(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)(a2ϵηζk1(τ)ζk2(τ)ζk3(τ)+perm)]|τiτ,B^{7}_{\zeta}(k_{1},k_{2},k_{3})=2\operatorname{Im}\left[\zeta_{k_{1}}(\tau_{*})\zeta_{k_{2}}(\tau_{*})\zeta_{k_{3}}(\tau_{*})\left(a^{2}\epsilon\eta\zeta_{k_{1}}^{*}(\tau)\zeta_{k_{2}}^{*}(\tau)\zeta_{k_{3}}^{\prime*}(\tau)+\mathrm{perm}\right)\right]\Big{|}_{\tau_{i}}^{\tau_{*}}, (2.19)
Bζ8(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)×(aHζk1(τ)ζk2(τ)ζk3(τ))×{54(aH)2+2(1ϵ)(𝒌1𝒌2+perm)+12(aH)2[(𝒌1𝒌2)k32+perm]}]|τiτ,\begin{split}B^{8}_{\zeta}(k_{1},k_{2},k_{3})=&2\operatorname{Im}\left[\zeta_{k_{1}}(\tau_{*})\zeta_{k_{2}}(\tau_{*})\zeta_{k_{3}}(\tau_{*})\times\left(\frac{a}{H}\zeta_{k_{1}}^{*}(\tau)\zeta_{k_{2}}^{*}(\tau)\zeta_{k_{3}}^{*}(\tau)\right)\right.\\ &\left.\times\left\{54(aH)^{2}+2(1-\epsilon)(\bm{k}_{1}\cdot\bm{k}_{2}+\mathrm{perm})+\right.\right.\\ &\left.\left.\frac{1}{2(aH)^{2}}\left[\left(\bm{k}_{1}\cdot\bm{k}_{2}\right)k_{3}^{2}+\mathrm{perm}\right]\right\}\right]\Big{|}_{\tau_{i}}^{\tau_{*}},\end{split} (2.20)
Bζ9(k1,k2,k3)=Im[ζk1(τ)ζk2(τ)ζk3(τ){ϵH2ζk1(τ)ζk2(τ)ζk3(τ)[k12+k22(𝒌1𝒌3k3)2(𝒌2𝒌3k3)2]+perm}]|ττi,\begin{split}B^{9}_{\zeta}(k_{1},k_{2},k_{3})=&-\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{k_{1}}(\tau_{*})\zeta_{k_{2}}(\tau_{*})\zeta_{k_{3}}(\tau_{*})\left\{\frac{\epsilon}{H^{2}}\zeta_{k_{1}}^{*}(\tau)\zeta_{k_{2}}^{*}(\tau)\zeta_{k_{3}}^{\prime*}(\tau)\right.\right.\\ &\left.\left.\left[k_{1}^{2}+k_{2}^{2}-\left(\frac{\bm{k}_{1}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}-\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}\right]+\mathrm{perm}\right\}\right]\Big{|}^{\tau_{*}}_{\tau_{i}},\end{split} (2.21)
Bζ10(k1,k2,k3)=2Im[ζk1(τ)ζk2(τ)ζk3(τ)×{aϵHζk1(τ)ζk2(τ)ζk3(τ)[2ϵ+ϵ(𝒌2𝒌3k2k3)2]+perm}]|ττi,\begin{split}B^{10}_{\zeta}(k_{1},k_{2},k_{3})=&2\operatorname{Im}\left[\vphantom{\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{3}}\right)^{2}}\zeta_{k_{1}}(\tau_{*})\zeta_{k_{2}}(\tau_{*})\zeta_{k_{3}}(\tau_{*})\right.\\ &\left.\times\left\{\frac{a\epsilon}{H}\zeta_{k_{1}}^{*}(\tau)\zeta_{k_{2}}^{\prime*}(\tau)\zeta_{k_{3}}^{\prime*}(\tau)\left[2-\epsilon+\epsilon\left(\frac{\bm{k}_{2}\cdot\bm{k}_{3}}{k_{2}k_{3}}\right)^{2}\right]+\mathrm{perm}\right\}\right]\Big{|}^{\tau_{*}}_{\tau_{i}},\end{split} (2.22)

τ\tau_{*} is a sufficient late time when all relevant modes have been frozen and τi\tau_{i} is an early time when the plane wave initial conditions are imposed on the modes. Because the modes oscillate rapidly well inside the horizon, its averaged contribution is negligible. However, in numerical computation, the choice of τi\tau_{i} brings considerable uncertainty in the integral. Following Refs. [115, 116], we introduce a cutoff eλkm(ττ0)\text{e}^{\lambda k_{m}(\tau-\tau_{0})} in the integral to damp out the oscillatory contributions from very early times, where kmk_{m} is the largest of the three modes, τ0\tau_{0} is a time several ee-folds before τc\tau_{c} when the kmk_{m} mode crosses the horizon and λ\lambda serves to determine to what extent the integral will be suppressed. Besides, λ\lambda should satisfy |λkmτi|1|\lambda k_{m}\tau_{i}|\gg 1 and |λkmτc|1|\lambda k_{m}\tau_{c}|\ll 1 in order not to suppress the contribution from interactions. The existence of this cutoff also makes the result insensitive to the lower limit of the integration τi\tau_{i} as long as the initial conditions are satisfied.

With the result of the bispectrum (2.12), the non-Gaussianity parameter fNLf_{\text{NL}} is defined as [24, 110]

fNL(k1,k2,k3)=56Bζ(k1,k2,k3)Pζ(k1)Pζ(k2)+Pζ(k2)Pζ(k3)+Pζ(k3)Pζ(k1).f_{\text{NL}}(k_{1},k_{2},k_{3})=\frac{5}{6}\frac{B_{\zeta}(k_{1},k_{2},k_{3})}{P_{\zeta}(k_{1})P_{\zeta}(k_{2})+P_{\zeta}(k_{2})P_{\zeta}(k_{3})+P_{\zeta}(k_{3})P_{\zeta}(k_{1})}. (2.23)

2.2 G-inflation with power-law potential

In the G-inflation model [53], the non-canonical kinetic term with a peak enhances the power spectrum on small scales so that abundant PBH DM and observable SIGWs are produced. The non-canonical kinetic function with a peak is [53]

G(ϕ)=d1+|ϕϕpc|,G(\phi)=\frac{d}{1+|\frac{\phi-\phi_{p}}{c}|}, (2.24)

and the chosen potential is V(ϕ)=λϕ2/5V(\phi)=\lambda\phi^{2/5}, we call this model as G1. The peak function is inspired by the coupling 1/ϕ1/\phi in Brans-Dikce theory of gravity. With the setting of parameters listed in Table. 1 [53], we numerically solve the background Eqs. (2.2)-(2.4) and the Mukhanov-Sasaki Eq. (2.7) to get the power spectrum. We plot the power spectrum Δζ2\Delta^{2}_{\zeta} in the upper panel of Fig. 1.

Model dd cc ϕp\phi_{p} ϕ\phi_{*} λ\lambda
G1 5.26×1085.26\times 10^{8} 1.472×10101.472\times 10^{-10} 2.972.97 5.215.21 7.2×10107.2\times 10^{-10}
Table 1: The parameters for the peak function (2.24) and the power-law potential λϕ2/5\lambda\phi^{2/5}. ϕ\phi_{*} is the value of the inflaton when the pivot scale k=0.05Mpc1k_{*}=0.05\ \text{Mpc}^{-1} leaves the horizon.
Refer to caption
Figure 1: The primordial scalar power spectrum Δζ2\Delta_{\zeta}^{2} and the non-Gaussianity parameter fNLf_{\mathrm{NL}} for the G1 model (2.24) with the power-law potential λϕ2/5\lambda\phi^{2/5}. The upper panel shows the power spectrum with the blue dashed line, 125fNL-\frac{12}{5}f_{\mathrm{NL}} in the squzeed limit with the solid black line for the modes k1=k2=106k3=kk_{1}=k_{2}=10^{6}k_{3}=k and the scalar spectral tilt ns1n_{\mathrm{s}}-1 with the red dashed line. The insets show the oscillations in Δζ2\Delta_{\zeta}^{2} and fNLf_{\mathrm{NL}}. The lower panel shows 125fNL\frac{12}{5}f_{\mathrm{NL}} in the equilateral limit for the modes k1=k2=k3=kk_{1}=k_{2}=k_{3}=k.

With Eqs. (2.13)-(2.23), we numerically compute the non-Gaussianity parameter fNLf_{\mathrm{NL}} in the squeezed limit and the equilateral limit. The results are shown in Fig. 1.

In the upper panel, we plot 12fNL(k)/5-12f_{\mathrm{NL}}(k)/5 along with the scalar spectral index ns(k)1n_{\mathrm{s}}(k)-1 to check the consistency relation

limk30fNL(k1,k2,k3)=512(1ns),fork1=k2.\lim_{k_{3}\rightarrow 0}f_{\mathrm{NL}}(k_{1},k_{2},k_{3})=\frac{5}{12}(1-n_{\mathrm{s}}),\quad\text{for}~{}k_{1}=k_{2}. (2.25)

Our results confirm that the consistency relation (2.25) holds for models with peaks in the non-canonical kinetic term. The consistency relation which relates a three-point correlation function to a two-point correlation function, was derived originally in the canonical single-field inflation with slow roll [21]. Then it was proved to be true for any inflationary model as long as the inflaton is the only dynamical field in addition to the gravitational field during inflation [22]. From our results, we see that the non-Gaussianity parameter fNLf_{\text{NL}} can reach as large as order 1, at certain scales, |12fNL|/56\left|12f_{\mathrm{NL}}\right|/5\simeq 6 in the squeezed limit and |12fNL|/515\left|12f_{\mathrm{NL}}\right|/5\simeq 15 in the equilateral limit. Both maxima for fNLf_{\text{NL}} happen at the scales where the power spectrum has a small dip before it reaches the peak. For the model G1 considered in this subsection, there is a sharp spike for fNLf_{\text{NL}} at the scales between k109Mpc1k\sim 10^{9}~{}\mathrm{Mpc}^{-1} and k1011Mpc1k\sim 10^{11}~{}\mathrm{Mpc}^{-1}. The oscillation nature of fNLf_{\text{NL}} at scales around k1013Mpc1k\sim 10^{13}~{}\mathrm{Mpc}^{-1} in both squeezed and equilateral limits originates from the small waggles in the power spectrum, as can be seen from the inset of Fig. 1. The oscillation in the power spectrum results in the oscillation in fNLf_{\mathrm{NL}} in the equilateral limit was also studied in Ref. [112].

If an inflationary model produces a power spectrum with a large slope, i.e., the power spectral |ns1|1|n_{s}-1|\gg 1, then the model has a large non-Gaussianity, at least in the squeezed limit, as told by the consistency relation (2.25) and shown in Fig. 1.

In terms of the nonlinear coupling constant fNLf_{\text{NL}} defined as [117, 20]

ζ(𝒙)=ζG(𝒙)+35fNL(ζG(𝒙)2ζG(𝒙)2),\zeta(\bm{x})=\zeta^{G}(\bm{x})+\frac{3}{5}f_{\text{NL}}(\zeta^{G}(\bm{x})^{2}-\langle\zeta^{G}(\bm{x})^{2}\rangle), (2.26)

where ζG\zeta^{G} is the linear Gaussian part of the curvature perturbation, it was shown that the non-Gaussian contribution to SIGWs can exceed the Gaussian part if (3/5)2fNL2Δζ21\left(3/5\right)^{2}f^{2}_{\text{NL}}\Delta^{2}_{\zeta}\gtrsim 1 [89]. Taking fNLf_{\mathrm{NL}} as the estimator to parameterize the magnitude of non-Gaussianity [25], we expect the contribution from the non-Gaussian scalar perturbations to SIGWs is negligible because fNLf_{\text{NL}} is small when the peak is reached as shown in Fig. 1.

The effect of non-Gaussianity of the curvature perturbation ζ\zeta on the PBH abundance is characterized by the factor 𝒥\mathcal{J} [118, 119, 120]

𝒥=16σR3d3k1(2π)3d3k2(2π)3d3k3(2π)3W(k1R)W(k2R)W(k3R)ζ^k1ζ^k2ζ^k3,\mathcal{J}=\frac{1}{6\sigma^{3}_{R}}\int\frac{\mathrm{d}^{3}k_{1}}{(2\pi)^{3}}\int\frac{\mathrm{d}^{3}k_{2}}{(2\pi)^{3}}\int\frac{\mathrm{d}^{3}k_{3}}{(2\pi)^{3}}\mathrm{W}\left(k_{1}R\right)\mathrm{W}\left(k_{2}R\right)\mathrm{W}\left(k_{3}R\right)\left\langle\hat{\zeta}_{k_{1}}\hat{\zeta}_{k_{2}}\hat{\zeta}_{k_{3}}\right\rangle, (2.27)

where the variance

σR2=dkkW(kR)2Δζ2,\sigma_{R}^{2}=\int\frac{dk}{k}\mathrm{W}(kR)^{2}\Delta_{\zeta}^{2}, (2.28)

and W(kR)\mathrm{W}(kR) is a window function. If 𝒥1\mathcal{J}\ll 1, then the contribution of non-Gaussianity of the curvature perturbation to PBH abundance is negligible. Since the major contribution to 𝒥\mathcal{J} is around the peak of the power spectrum, for a good approximation we can use the value of 𝒥\mathcal{J} at the peak scale of the power spectrum of the curvature perturbation to evaluate the effect of non-Gaussianities on PBH abundance [120],

𝒥peak=320πfNL(kpeak,kpeak,kpeak)Δζ2(kpeak).\mathcal{J}_{\mathrm{peak}}=\frac{3}{20\pi}f_{\mathrm{NL}}(k_{\mathrm{peak}},k_{\mathrm{peak}},k_{\mathrm{peak}})\sqrt{\Delta^{2}_{\zeta}(k_{\mathrm{peak}})}. (2.29)

From Fig. 1, we see that fNL(kpeak,kpeak,kpeak)𝒪(1)f_{\mathrm{NL}}(k_{\mathrm{peak}},k_{\mathrm{peak}},k_{\mathrm{peak}})\sim\mathcal{O}(1) and Δζ2(kpeak)𝒪(0.01)\Delta^{2}_{\zeta}(k_{\mathrm{peak}})\sim\mathcal{O}(0.01). Plugging these numbers into Eq. (2.29), we obtain 𝒥peak1\mathcal{J}_{\mathrm{peak}}\ll 1, so we expect that the effect of non-Gaussianity on PBHs abundance is negligible.

2.3 G-inflation with Higgs field

For the G-inflation model G1 with the peak function (2.24) to be consistent with observational constraints, the potential is restricted to be V(ϕ)=λϕ2/5V(\phi)=\lambda\phi^{2/5}. To lift the restriction on both the peak function and the inflationary potential, the non-canonical kinetic term in the model is generalized to [54, 55]

G(ϕ)=Gp(ϕ)+f(ϕ),G(\phi)=G_{p}(\phi)+f(\phi), (2.30)

where the peak function GpG_{p} is generalized to

Gp(ϕ)=d1+|(ϕϕp)/c|q,G_{p}(\phi)=\frac{d}{1+|(\phi-\phi_{p})/c|^{q}}, (2.31)

the function f(ϕ)f(\phi) is used to dress the non-canonical scalar field. It was shown that the enhanced power spectrum can have both sharp and broad peaks with the peak function (2.31). In this mechanism, Higgs inflation, T-model and natural inflation are shown to satisfy the observational constraints at large scales and the amplitudes of the power spectra are enhanced by seven orders of magnitude at small scales [54, 55, 56].

For the Higgs field with the potential V(ϕ)=λϕ4/4V(\phi)=\lambda\phi^{4}/4, the function f(ϕ)f(\phi) is chosen to be [54, 55]

f(ϕ)=f0ϕ22,f(\phi)=f_{0}\phi^{22}, (2.32)

with f0f_{0} a coupling constant. Following Ref. [55], we use H11 to represent the model with q=1q=1, and H12 to represent the model with q=5/4q=5/4. With the parameter settings as shown in Table. 2 [54, 55], we numerically compute the power spectrum Δζ2\Delta^{2}_{\zeta} and the non-Gaussianity parameters. We plot the results for the model H11 and the model H12 in Figs. 2 and 3, respectively.

Model qq dd cc ϕp\phi_{p} ϕ\phi_{*} f0f_{0} λ\lambda
H11 11 1.05×10101.05\times 10^{10} 2.04×10102.04\times 10^{-10} 1.3341.334 1.401.40 11 1.240×1091.240\times 10^{-9}
H12 5/45/4 1.60×10111.60\times 10^{11} 2.06×10102.06\times 10^{-10} 1.3001.300 1.401.40 11 1.244×1091.244\times 10^{-9}
Table 2: The parameters for the peak function (2.31) and the Higgs potential.
Refer to caption
Figure 2: The primordial scalar power spectrum Δζ2\Delta_{\zeta}^{2} and the non-Gaussianity parameter fNLf_{\mathrm{NL}} for the Higgs model H11. The upper panel shows the power spectrum with the blue dashed line, 125fNL-\frac{12}{5}f_{\mathrm{NL}} in the squeezed limit with the solid black line for the modes k1=k2=106k3=kk_{1}=k_{2}=10^{6}k_{3}=k and the scalar spectral tilt ns1n_{\mathrm{s}}-1 with the red dashed line. The insets show the oscillations in Δζ2\Delta_{\zeta}^{2} and fNLf_{\mathrm{NL}}. The lower panel shows 125fNL\frac{12}{5}f_{\mathrm{NL}} in the equilateral limit for the modes k1=k2=k3=kk_{1}=k_{2}=k_{3}=k.
Refer to caption
Figure 3: The primordial scalar power spectrum Δζ2\Delta_{\zeta}^{2} and the non-Gaussianity parameter fNLf_{\mathrm{NL}} for the Higgs model H12. The upper panel shows the power spectrum with the blue dashed line, 125fNL-\frac{12}{5}f_{\mathrm{NL}} in the squeezed limit with the solid black line for the modes k1=k2=106k3=kk_{1}=k_{2}=10^{6}k_{3}=k and the scalar spectral tilt ns1n_{\mathrm{s}}-1 with the red dashed line. The insets show the oscillations in Δζ2\Delta_{\zeta}^{2} and fNLf_{\mathrm{NL}}. The lower panel shows 125fNL\frac{12}{5}f_{\mathrm{NL}} in the equilateral limit for the modes k1=k2=k3=kk_{1}=k_{2}=k_{3}=k.

From the upper panels of Figs. 2 and 3, we see that the peak of the power spectrum produced by H12 is broader than that produced by H11, this is because the peak function Gp(ϕ)G_{p}(\phi) of the model H12 is flatter than H11.

In the upper panels of Figs. 2 and 3, we also plot the non-Gaussianity parameter 12fNL/5-12f_{\mathrm{NL}}/5 in the squeezed limit along with the scalar spectral index ns(k)1n_{\mathrm{s}}(k)-1 to check the consistency relation (2.25). As shown in Figs. 2 and 3, the consistency relation still holds for models with either broad or sharp peaks in the non-canonical kinetic term, even when the slow roll conditions violate.

From Fig. 2, we see that in the model H11 with a sharp peak in the power spectrum, the non-Gaussianity parameter fNLf_{\mathrm{NL}} in the squeezed limit can be as large as |12fNL/5|2\left|12f_{\mathrm{NL}}/5\right|\simeq 2 and |12fNL/5|15\left|12f_{\mathrm{NL}}/5\right|\simeq 15 in the equilateral limit at certain scales. fNLf_{\mathrm{NL}} is almost a constant when the power spectrum climbs up to the peak. Due to the waggles in the power spectrum as shown in the insets of Fig. 2, fNLf_{\text{NL}} becomes large and it also shows the oscillation behaviour.

From Fig. 3, we see that fNLf_{\mathrm{{NL}}} has a pretty large value in the model H12 with a broad peak in the power spectrum at scales around k109Mpc1k\sim 10^{9}\ \text{Mpc}^{-1} due to the plunge by several orders of magnitude in the power spectrum, and the amplitude is about 101410^{-14} at the relevant scales. However, fNLf_{\mathrm{NL}} is small at scales where the power spectrum reaches the peak. Again the waggles in the power spectrum as shown in the insets of Fig. 3 result in the oscillations in fNLf_{\mathrm{NL}}.

Our numerical computations show that the three inflationary models predict different non-Gaussianities which could be taken as a tool to distinguish them. In general, there is much more information contained in the bispectrum than in the power spectrum. By virtue of non-Gaussianity, we may differentiate inflationary models when degeneracy happens.

For all these models, fNLf_{\mathrm{NL}} is small at the scales where the power spectrum reaches the peaks, so we don’t expect a large contribution from non-Gaussianity in the enhanced curvature perturbations to SIGWs and PBH abundance. Even large non-Gaussianities arise in the model H12, the contribution to SIGWs and PBH abundance is still negligible because the amplitudes of the perturbations are very small at those scales.

3 Conclusion

Non-Gaussianity is useful for understanding the dynamics of inflation and distinguishing different inflation models. We studied the non-Gaussianity of scalar perturbation produced in the G-inflation model with a peak function in the non-canonical kinetic term. The results confirm that the consistency relation holds in G-inflation models. Even though the peak function enhances the scalar power spectrum by seven orders of magnitude at small scales, the non-Gaussianity is small at the peak scales. For the model G1, |12fNL/5||12f_{\text{NL}}/5| can be as large as 6 in the squeezed limit and 15 in the equilateral limit. Because of the dip before the peak scale in the power spectrum for the model G1, fNLf_{\text{NL}} reaches its maximum value at the dip scale. The small waggles in the power spectrum not only result in the oscillation of fNLf_{\text{NL}}, but also lead to large non-Gaussianity. For the Higgs model H11, |12fNL/5||12f_{\text{NL}}/5| is almost an order 1 constant in both squeezed and equilateral limits at scales where the power spectrum climbs up the peak. At the peak scale, fNLf_{\text{NL}} is small. After the peak, the small wiggles in the power spectrum lead to the oscillation of |12fNL/5||12f_{\text{NL}}/5| with the amplitude of order 2 in the squeezed limit and the amplitude of 15 in the equilateral limit. For the Higgs model H12, the power spectrum plunges by several orders of magnitude before it reaches the broad peak and the non-Gaussianity becomes very large at the plunge scales. However, fNLf_{\text{NL}} keeps to be small at the peak scales. Since fNLf_{\text{NL}} is small at the peak scales for all three models considered, the contributions of the non-Gaussianity of curvature perturbations to SIGWs and PBH abundance are negligible.

Acknowledgments

FZ would like to thank S. Passaglia for useful discussion. This research was supported in part by the National Key Research and Development Program of China under Grant No. 2020YFC2201504; the National Natural Science Foundation of China under Grant No. 11875136; MOE Key Laboratory of TianQin Project, Sun Yat-sen University; and the Major Program of the National Natural Science Foundation of China under Grant No. 11690021.

References