A quasar-based supermassive black hole binary population model: implications for the gravitational-wave background

ORAL

Abstract

The nanohertz gravitational wave background (GWB) is believed to be dominated by GW emission from supermassive black hole binaries (SMBHBs). Observations of several dual active galactic nuclei (AGN) strongly suggest a link between AGN and SMBHBs, given that these dual AGN systems will eventually form bound binary pairs. We present an exploratory SMBHB population model based on empirically constrained quasar populations, allowing us to decompose the GWB amplitude into an underlying distribution of SMBH masses, SMBHB number density, and volume enclosing the GWB. Our approach also allows us to self-consistently predict the number of local SMBHB systems from the GWB amplitude. We predict the local number density of SMBHBs implied by the common-process signal in the NANOGrav 12.5-yr dataset and compare to SMBHB population models which do not take the GWB as input. Finally, we show how our model can be used to place constraints on the population of SMBHBs with associated quasar activity.

*JACC was supported in part by NASA CT Space Grant PTE Federal Award Number 80NSSC20M0129. CMFM and JACC are also supported by the National Science Foundation's NANOGrav Physics Frontier Center, Award Number 2020265. MN was supported by the summer internship program at the Center for Computational Astrophysics at the Flatiron Institute. The Flatiron Institute is supported by the Simons Foundation. Part of this work was done at Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.

Publication: J. A. Casey-Clyde, C. M. F. Mingarelli, J. E. Greene, K. Pardo, M. Nañez, and A. D. Goulding, A Quasar-Based Supermassive Black Hole Binary Population Model: Implications for the Gravitational-Wave Background, ApJ (in press), arXiv:2107.11390.

Presenters

  • James A Casey-Clyde

    • University of Connecticut

Authors

  • James A Casey-Clyde

    • University of Connecticut
  • Chiara Mingarelli

    • University of Connecticut, Flatiron Institute
  • Jenny E Greene

    • Princeton University
  • Kris Pardo

    • California Institute of Technology
  • Morgan Nañez

    • University of California, Berkeley
  • Andy D Goulding

    • Princeton University