Bayesian Implications for the Primordial Black Holes from NANOGrav's Pulsar-Timing Data Using the Scalar-Induced Gravitational Waves
Zhi-Chao Zhao, Sai Wang

TL;DR
This study uses Bayesian analysis of NANOGrav data to explore the connection between scalar-induced gravitational waves and primordial black holes, constraining their mass range and dark matter contribution.
Contribution
It performs the first Bayesian inference linking NANOGrav signals to primordial black holes and their mass function, providing new limits on their abundance and mass spectrum.
Findings
Lower limit on spectral amplitude: $ ext{A} extgreater 10^{-2}$ at 95% CL.
Primordial black holes of $2 imes 10^{-4}$ to $10^{-2}$ solar masses can make up at least $10^{-6}$ of dark matter.
Future gravitational-wave experiments can probe the entire parameter space for primordial black holes.
Abstract
Assuming that the common-spectrum process in the NANOGrav 12.5-year dataset has an origin of scalar-induced gravitational waves, we study the enhancement of primordial curvature perturbations and the mass function of primordial black holes, by performing the Bayesian parameter inference for the first time. We obtain lower limits on the spectral amplitude, i.e., at 95\% confidence level, when assuming the power spectrum of primordial curvature perturbations to follow a log-normal distribution function with width . In the case of , we find that the primordial black holes with solar mass are allowed to compose at least a fraction of dark matter. Such a mass range is shifted to more massive regimes for larger values of , e.g., to a regime of solar mass in the case of…
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Taxonomy
TopicsCosmology and Gravitation Theories · Pulsars and Gravitational Waves Research · Geophysics and Gravity Measurements
