Inferring the Merger History of Primordial Black Holes from Gravitational-Wave data and the Stochastic Signatures
Sourav Roy Chowdhury, Aritra Basak, Maxim Khlopov, Maxim Krasnov

TL;DR
This paper analyzes gravitational-wave data to infer the merger history of primordial black holes, highlighting their contribution to the stochastic gravitational-wave background and providing constraints on their merger rates and redshift evolution.
Contribution
It introduces a Bayesian framework to analyze PBH merger rates from gravitational-wave data, incorporating high-redshift activity and stochastic background signatures.
Findings
Local PBH binary merger rate estimated at 23.5-30.3 Gpc^{-3} yr^{-1}
Redshift evolution index of merger rate constrained to 2.19 ± 0.16
Potential of stochastic background observations to trace PBH merger history
Abstract
Primordial black holes (PBHs) are well-motivated candidates for cold dark matter and may also account for a fraction of the binary black hole mergers observed by the LIGO-Virgo-KAGRA Collaboration. In this study, we investigate the gravitational-wave signatures of PBHs, with a particular focus on evaluating their integrated contribution to the stochastic gravitational-wave background arising from binary mergers over a broad range of redshifts. We perform a Bayesian analysis of gravitational-wave events following all Gravitational-Wave Transient Catalog data, assuming a log-normal PBH mass function. We compute the merger rate distribution of PBH binaries by accounting for gravitational torques from the surrounding PBH. To constrain this rate, we employ the latest limits from the third observing run of LIGO/Virgo. Owing to their primordial origin, PBHs exhibit enhanced merger activity at…
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