Astrophysics informed Gaussian processes for gravitational-wave populations: Evidence for the onset of the pair-instability supernova mass gap
Ignacio Maga\~na Hernandez, Antonella Palmese

TL;DR
This paper uses Gaussian Processes to analyze gravitational-wave data, providing evidence for the pair-instability supernova mass gap in black hole populations and identifying a potential hierarchical merger subpopulation.
Contribution
It introduces a flexible, non-parametric GP framework to detect complex features like the mass gap in black hole mass distributions from gravitational-wave data.
Findings
Strong evidence for the onset of the PISN mass gap at 45-60 M_sun
Suppression of merger rate by a factor of 10-60 near 60 M_sun
Identification of a subpopulation around 70 M_sun likely due to hierarchical mergers
Abstract
We analyze binary black hole (BBH) mergers from the latest Gravitational Wave Transient Catalog (GWTC-3) using a flexible, non-parametric framework to infer the underlying black hole mass distribution. Our model employs Gaussian Processes (GPs) with astrophysically motivated priors to represent the mass distribution, assuming both component masses are independently drawn from a common mass function. This approach enables us to capture complex features in the population without relying on rigid parametric forms. Motivated by predictions from binary stellar evolution, we focus on the presence of a mass gap in the range , attributed to the pair-instability supernova (PISN) and pulsational PISN (PPISN) processes. Using our GP-based model, we find for the first time, strong evidence for the onset of this mass gap, locating its lower edge at approximately . We…
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