4.6 Article

Primordial black holes in peak theory with a non-Gaussian tail

Journal

Publisher

IOP Publishing Ltd
DOI: 10.1088/1475-7516/2021/10/053

Keywords

primordial black holes; GR black holes

Funding

  1. JSPS KAKENHI [JP19H01894, JP20H01894, JP20H05851, JP21H01078, JP19K14707, JP21K13918, JP19H01895, JP20H05850, JP20H05853]
  2. JSPS [JP20H01932, JP20K03968]

Ask authors/readers for more resources

This paper updates the peak theory for estimating the abundance of primordial black holes (PBHs) by implementing critical behavior in PBH mass estimation and using the averaged compaction function for the PBH formation criterion. The study applies the peak theory to a specific non-Gaussian feature, known as the exponential tail, which is characteristic of ultra slow-roll inflation models. The results show a significant enhancement in the PBH abundance and reveal a characteristic maximal mass in the PBH mass spectrum not seen in the simple Press-Schechter approach.
In this paper, we update the peak theory for the estimation of the primordial black hole (PBH) abundance, particularly by implementing the critical behavior in the estimation of the PBH mass and employing the averaged compaction function for the PBH formation criterion to relax the profile dependence. We apply our peak theory to a specific non-Gaussian feature called the exponential tail, which is characteristic in ultra slow-roll models of inflation. With this type of non-Gaussianity, the probability of a large perturbation is not suppressed by the Gaussian factor but decays only exponentially, so the PBH abundance is expected to be much enhanced. Not only do we confirm this enhancement even compared to the case of the corresponding nonlinearity parameter f(NL) = 5/2, but also we find that the resultant PBH mass spectrum has a characteristic maximal mass which is not seen in the simple Press-Schechter approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available