Ain't No Mountain High Enough: Semi-Parametric Modeling of LIGO-Virgos Binary Black Hole Mass Distribution
Bruce Edelman, Zoheyr Doctor, Jaxen Godfrey, Ben Farr

TL;DR
This paper presents a semi-parametric model for the primary mass distribution of binary black holes observed via gravitational waves, combining parametric and non-parametric methods to improve understanding of BBH formation.
Contribution
It introduces a cubic-spline perturbation approach to model BBH mass distribution, bridging parametric and non-parametric models for more accurate analysis.
Findings
Consistent with previous results showing a peak at 35 solar masses.
Potential signs of additional features at lower masses.
Simpler models remain compatible with current data.
Abstract
We introduce a semi-parametric model for the primary mass distribution of binary black holes (BBHs) observed with gravitational waves (GWs) that applies a cubic-spline perturbation to a power law. We apply this model to the 46 BBHs included in the second gravitational wave transient catalog (GWTC-2). The spline perturbation model recovers a consistent primary mass distribution with previous results, corroborating the existence of a peak at ( credibility) found with the \textsc{Powerlaw+Peak} model. The peak could be the result pulsational pair-instability supernovae (PPISNe). The spline perturbation model finds potential signs of additional features in the primary mass distribution at lower masses similar to those previously reported by Tiwari and Fairhurst (2021). However, with fluctuations due to small number statistics, the simpler \textsc{Powerlaw+Peak} and…
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