Mixture model analysis of LIGO data identifies a ~10% high-spin subpopulation with a1 ≈ 0.9 matching AGN accretion predictions, disfavoring hierarchical mergers at a1 ≈ 0.7 for that group.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Applies simulation-informed stellar kinematic criteria to archival IFU data to produce a ranked list of nearby massive galaxies as potential SMBHB hosts for PTA follow-up.
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High-Spin BBH Subpopulation from AGN Accretion
Mixture model analysis of LIGO data identifies a ~10% high-spin subpopulation with a1 ≈ 0.9 matching AGN accretion predictions, disfavoring hierarchical mergers at a1 ≈ 0.7 for that group.
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Predicting Potential Host Galaxies of Supermassive Black Hole Binaries Based on Stellar Kinematics in Archival IFU Surveys
Applies simulation-informed stellar kinematic criteria to archival IFU data to produce a ranked list of nearby massive galaxies as potential SMBHB hosts for PTA follow-up.