Constraining astrophysical observables of Galaxy and Supermassive Black Hole Binary Mergers using Pulsar Timing Arrays
Siyuan Chen, Alberto Sesana, Christopher J. Conselice

TL;DR
This paper develops an analytic model linking galaxy and black hole merger observables to gravitational wave background predictions, and explores how pulsar timing array data can constrain supermassive black hole binary populations and merger physics.
Contribution
It introduces a comprehensive astrophysical inference framework using PTA data to constrain SMBHB merger rates, properties, and galaxy relations, incorporating observational priors and simulations.
Findings
Current PTA non-detections do not significantly constrain SMBHB models.
Future PTA detections can tightly constrain SMBHB merger rates and properties.
Non-detection at certain levels challenges existing galaxy and SMBHB merger theories.
Abstract
We present an analytic model to describe the supermassive black hole binary (SMBHB) merger rate in the Universe with astrophysical observables: galaxy stellar mass function, pair fraction, merger timescale and black hole - host galaxy relations. We construct observational priors and compute the allowed range of the characteristic spectrum of the gravitational wave background (GWB) to be at a frequency of . We exploit our parametrization to tackle the problem of astrophysical inference from Pulsar Timing Array (PTA) observations. We simulate a series of upper limits and detections and use a nested sampling algorithm to explore the parameter space. Corroborating previous results, we find that the current PTA non-detection does not place significant constraints on any observables; however, either future upper limits or detections will…
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