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Non-linear metric perturbations and production of primordial black holes

P. Ivanov

TL;DR

The paper addresses primordial black hole formation from inflationary perturbations featuring a plateau in the inflaton potential. It introduces a coarse-grained metric formalism to derive a non-Gaussian distribution for the metric perturbation h and shows that large perturbations are more probable than in Gaussian theory, potentially boosting PBH abundances. By applying Carr and Nadezhin–Novikov–Polnarev PBH criteria to the non-linear distribution, it demonstrates that non-Gaussian effects raise the required plateau amplitude delta_pl by about 50% relative to Gaussian estimates, though the overall qualitative conclusions remain similar. The work provides a semi-analytic framework connecting plateau-like inflationary features to PBH statistics and highlights the importance of non-linear, non-Gaussian effects, with plans to extend to more realistic two-field models.

Abstract

We consider the simple inflationary model with peculiarity in the form of "plateau" in the inflaton potential. We use the formalism of coarse-grained field to describe the production of metric perturbations $h$ of an arbitrary amplitude and obtain non-Gaussian probability function for such metric perturbations. We associate the spatial regions having large perturbations $h\sim 1$ with the regions going to primordial black holes after inflation. We show that in our model the non-linear effects can lead to overproduction of the primordial black holes.

Non-linear metric perturbations and production of primordial black holes

TL;DR

The paper addresses primordial black hole formation from inflationary perturbations featuring a plateau in the inflaton potential. It introduces a coarse-grained metric formalism to derive a non-Gaussian distribution for the metric perturbation h and shows that large perturbations are more probable than in Gaussian theory, potentially boosting PBH abundances. By applying Carr and Nadezhin–Novikov–Polnarev PBH criteria to the non-linear distribution, it demonstrates that non-Gaussian effects raise the required plateau amplitude delta_pl by about 50% relative to Gaussian estimates, though the overall qualitative conclusions remain similar. The work provides a semi-analytic framework connecting plateau-like inflationary features to PBH statistics and highlights the importance of non-linear, non-Gaussian effects, with plans to extend to more realistic two-field models.

Abstract

We consider the simple inflationary model with peculiarity in the form of "plateau" in the inflaton potential. We use the formalism of coarse-grained field to describe the production of metric perturbations of an arbitrary amplitude and obtain non-Gaussian probability function for such metric perturbations. We associate the spatial regions having large perturbations with the regions going to primordial black holes after inflation. We show that in our model the non-linear effects can lead to overproduction of the primordial black holes.

Paper Structure

This paper contains 5 sections, 47 equations, 2 figures.

Figures (2)

  • Figure 1: We plot the dependence of plateau parameter $\delta_{pl}$ on PBH's mass $M_{pbh}$ assuming that the PBH's abundance is given by the eqn. $(44)$. The solid line represents the solution of eqn. $(45)$ (i.e we calculate $\delta_{pl}$ taking into account the non-Gaussian effects in this case). The dashed line represents $\delta_{pl}$ calculated in the standard Gaussian theory. The PBH's masses lie in the range: $10^{-18}M_{\odot} < M_{pbh} < 10^{6}M_{pbh}$. The PBH's of the mass $10^{-18}M_{\odot}\sim 10^{15}g$ should be evaporated at the present time. Actually, the abundance of these PBH's is limited much stronger than is assumed in our calculations.
  • Figure 2: The dependence of probability density ${\cal P}(h)$ on the metric amplitude $h$. The non-Gaussian curve (solid line) is calculated with help of eqn. $(39)$ assuming PBH's abundance $\beta(M_{\odot})\approx 10^{-8}$. That gives $\delta_{1pl}(M_{\odot})\approx 0.089$. The dashed line is the reference Gaussian probability density calculated for the same abundance. For that curve we have $\delta_{2pl}(M_{\odot})\approx 0.134$. The dotted curve represents the Gaussian distribution taken with $\delta_{1pl}(M_{\odot})\approx 0.089$. This distribution strongly under-produces PBH's, and in this case we have $\beta \sim 10^{-17}$.