Accurate model for the primordial black hole mass distribution from a peak in the power spectrum

Andrew D. Gow, Christian T. Byrnes, and Alex Hall
Phys. Rev. D 105, 023503 – Published 5 January 2022

Abstract

We examine the shape of the primordial black hole mass distribution arising from a peak in the primordial power spectrum. In light of improvements to the modeling, we revisit the claim that the effects of critical collapse produce a distribution that is not described by the commonly assumed lognormal, showing that this conclusion remains valid, particularly for narrow peaks where the shape of the mass distribution is insensitive to the peak properties and critical collapse determines a minimum width. We propose some alternative models that may better describe the shape, both for the narrow peak case and for much broader peaks where the effect of the peak shape is significant. We highlight the skew-lognormal and a generalized model motivated by the physics of critical collapse as the best of these possible alternatives. These models can be used as an accurate and fast approximation to the numerically calculated mass distribution, allowing for efficient implementation in an MCMC analysis. We advocate the use of one of these two models instead of the lognormal with sufficiently accurate data, such as future LIGO–Virgo observations, or when considering strongly mass dependent constraints on the PBH abundance.

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  • Received 6 July 2021
  • Accepted 10 December 2021

DOI:https://doi.org/10.1103/PhysRevD.105.023503

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Andrew D. Gow1,*, Christian T. Byrnes1,†, and Alex Hall2,‡

  • 1Department of Physics and Astronomy, University of Sussex, Brighton BN1 9QH, United Kingdom
  • 2Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, United Kingdom

  • *A.D.Gow@sussex.ac.uk
  • C.Byrnes@sussex.ac.uk
  • ahall@roe.ac.uk

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Issue

Vol. 105, Iss. 2 — 15 January 2022

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