New insights on binary black hole formation channels after GWTC-2: young star clusters versus isolated binaries
Feb 24, 202113 pages
Published in:
- Mon.Not.Roy.Astron.Soc. 507 (2021) 4, 5224-5235
- Published: Sep 27, 2021
e-Print:
- 2102.12495 [astro-ph.HE]
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Abstract: (Oxford University Press)
With the recent release of the Second Gravitational Wave Transient Catalog (GWTC-2), which introduced dozens of new detections, we are at a turning point of gravitational wave astronomy, as we are now able to directly infer constraints on the astrophysical population of compact objects. Here, we tackle the burning issue of understanding the origin of binary black hole (BBH) mergers. To this effect, we make use of state-of-the-art population synthesis and N-body simulations, to represent two distinct formation channels: BBHs formed in the field (isolated channel) and in young star clusters (dynamical channel). We then use a Bayesian hierarchical approach to infer the distribution of the mixing fraction f, with f = 0 (f = 1) in the pure dynamical (isolated) channel. We explore the effects of additional hyperparameters of the model, such as the spread in metallicity σ_Z and the parameter σ_sp, describing the distribution of spin magnitudes. We find that the dynamical model is slightly favoured with a median value of f = 0.26, when σ_sp = 0.1 and σ_Z = 0.4. Models with higher spin magnitudes tend to strongly favour dynamically formed BBHs (f ≤ 0.1 if σ_sp = 0.3). Furthermore, we show that hyperparameters controlling the rates of the model, such as σ_Z, have a large impact on the inference of the mixing fraction, which rises from 0.18 to 0.43 when we increase σ_Z from 0.2 to 0.6, for a fixed value of σ_sp = 0.1. Finally, our current set of observations is better described by a combination of both formation channels, as a pure dynamical scenario is excluded at the 99 per cent credible interval, except when the spin magnitude is high.Note:
- 13 pages, 10 figures, 2 tables, published in MNRAS
- black hole physics
- gravitational waves
- methods: numerical
- methods: statistical
References(129)
Figures(10)