Probing the Merger Rates of Supermassive Black Holes and Galaxies with Gravitational Waves
Yun Fang, Rong-Gen Cai

TL;DR
This paper develops a framework combining gravitational wave data from LISA and PTA to estimate galaxy and SMBH merger rates, revealing how event counts and delays influence our understanding of SMBH growth and galaxy evolution.
Contribution
It introduces a novel method to infer SMBH and galaxy merger rates by integrating GW observations with galaxy data, accounting for observational uncertainties and delay times.
Findings
LISA event counts and mass-redshift distributions are crucial for accurate merger rate constraints.
Including PTA data reduces uncertainties in merger rate estimates.
Longer SMBH-galaxy delay times shift SMBH growth from mergers to accretion at high redshift.
Abstract
The mergers of galaxies and supermassive black holes (SMBHs) are key drivers of galaxy evolution, contributing to the growth of both galaxies and their central black holes. Current and upcoming gravitational wave (GW) detectors -- Pulsar Timing Arrays (PTAs), LISA, Taiji, and Tianqin -- offer unique access to these processes by observing GW signals from SMBH binaries. We present a framework to infer galaxy and SMBH merger rates by combining mock LISA detections of SMBH mergers with PTA constraints on the stochastic GW background, while incorporating observational uncertainties in stellar mass functions and - relations. We find that the number of LISA-detected events and their joint distribution in mass and redshift are key to constraining merger rates -- datasets with around forty events yield results consistent with galaxy pair observations, whereas limited event counts…
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Taxonomy
TopicsCosmology and Gravitation Theories · Relativity and Gravitational Theory · Pulsars and Gravitational Waves Research
