Binary Black Holes population synthesis based on the current LVK observations
Mehdi El Bouhaddouti, Ilias Cholis, Muhsin Aljaf

TL;DR
This paper analyzes LVK gravitational-wave data to understand the origins of binary black holes, testing models of first-generation, hierarchical, and primordial black hole populations, and finds evidence supporting multiple formation channels.
Contribution
It introduces a comprehensive population synthesis model incorporating first-generation, hierarchical, and primordial black holes, fitting the LVK data with statistical preference for multiple populations.
Findings
LVK data favors a mixed population of black holes from different origins.
Hierarchical mergers are statistically supported as a significant contributor.
Adding primordial black holes improves the model fit to observations.
Abstract
The ongoing observations from ground based gravitational-wave observatories have led to the detection of more than a hundred merger events between black holes. We use the LIGO-Virgo-KAGRA (LVK) observations from 2015 to early 2024, to test the population synthesis of these merging binaries; which will allow us to probe the formation mechanisms and environments of these black holes. We test if the current sample of binary black holes can be explained only by the merger of black holes coming from the collapse of the cores of massive stars, i.e. as just first generation black holes merging with each other. Those black holes' masses will roughly follow a power-law distribution. We also test if in addition to the merger between first generation black holes, there is evidence for a second population of black hole binaries in which at least one the binaries' members is the product of an…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Statistical Mechanics and Entropy · Gamma-ray bursts and supernovae
