Inference on inner galaxy structure via gravitational waves from supermassive binaries
Yifan Chen, Matthias Daniel, Daniel J. D'Orazio, Xuanye Fan, Andrea Mitridate, Laura Sagunski, Xiao Xue, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence B\'ecsy, Laura Blecha, Adam Brazier, Paul R. Brook

TL;DR
This paper models how the gravitational-wave spectrum from supermassive black hole binaries depends on galactic core profiles and binary eccentricities, using NANOGrav data to infer galactic environment properties.
Contribution
It introduces a model linking galactic core profiles and binary eccentricities to gravitational-wave spectra, analyzed with NANOGrav data to infer galactic center matter density.
Findings
Favours a galactic core density of about 10^6 M_sun/pc^3
Supports the role of environmental effects in black hole binary evolution
Indicates a low-frequency spectral turnover related to stellar and dark matter ejections.
Abstract
The detection of a stochastic gravitational wave background by pulsar-timing arrays indicates the presence of a population of supermassive black hole binaries. Although the observed spectrum generally matches predictions for orbital evolution driven by gravitational-wave emission in circular orbits, there is a preference for a spectral turnover at the lowest observed frequencies, which may point to substantial hardening during a transition from early environmental influences to later stages dominated by emission. In the vicinity of these binaries, the ejection of stars or dark matter particles through gravitational three-body slingshots efficiently extracts orbital energy, leading to a low-frequency turnover in the spectrum. Here we model how the gravitational-wave spectrum depends on the initial inner galactic profile before scouring by binary ejections while accounting for a range of…
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