McFACTS II: Mass Ratio--Effective Spin Relationship of Black Hole Mergers in the AGN Channel
Harrison E. Cook, Barry McKernan, K.E. Saavik Ford, Vera Delfavero, Kaila Nathaniel, Jake Postiglione, Shawn Ray, Emily J. McPike, Richard O'Shaughnessy

TL;DR
This study uses the McFACTS code to explore how AGN disk and star cluster parameters influence black hole merger mass distributions, aligning with gravitational wave observations.
Contribution
It introduces a detailed simulation framework to analyze the impact of various AGN environment parameters on black hole merger characteristics.
Findings
Dense, short-lived AGN disks produce observed anti-correlation in mass ratio and effective spin.
A black hole initial mass function proportional to M^{-2} fits observations better.
A prograde-to-retrograde binary formation fraction over 90% aligns with gravitational wave data.
Abstract
We use the Monte Carlo For AGN (active galactic nucleus) Channel Testing and Simulation (McFACTS, https://www.github.com/mcfacts/mcfacts) code to study the effect of AGN disk and nuclear star cluster parameters on predicted mass distributions for LIGO-Virgo-KAGRA (LVK) compact binaries forming in AGN disks. The assumptions we vary include the black hole (BH) initial mass function, disk model, disk size, disk lifetime, and the prograde-to-retrograde fraction of newly formed black hole binaries. Broadly we find that dense, moderately short-lived AGN disks are preferred for producing a anti-correlation like those identified from existing gravitational wave (GW) observations. Additionally, a BH initial mass function (MF ) is preferred over a more top-heavy MF (). The preferred fraction of prograde-to-retrograde is , to produce results…
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