Published April 1, 2025 | Published
Journal Article Open

The Origin of the Nano-Hertz Stochastic Gravitational-wave Background: The Contribution from z ≳ 1 Supermassive Black Hole Binaries

  • 1. ROR icon California Institute of Technology

Abstract

The nano-Hertz gravitational wave background (GWB) is a key probe of supermassive black hole (SMBH) formation and evolution if the background arises predominantly from SMBH binaries (SMBHBs). The GWB amplitude, which is typically quantified as the characteristic strain, Ayr at a frequency 1 yr−1, encodes significant astrophysical information about the SMBHB population, including the SMBHB mass and redshift distributions. Recent results from a number of pulsar timing arrays have identified a common-spectrum noise process, correlated between pulsars, that is consistent with a loud GWB signal with Ayr ∼ 2 × 10−15, which is higher than most predictions Ayr ≲ 10−15. These predictions usually assume theoretically motivated but highly uncertain prescriptions for SMBH seeding and evolution. Recent observations, largely by the James Webb Space Telescope, have uncovered a population of obscured, overmassive, accreting black holes in the early Universe that may suggest that the black hole mass density and net accretion were larger at high redshifts than previously thought. In this work, we use two simple, flexible models of SMBH evolution to explore the possible range of GWB amplitudes, given observational constraints. In particular, we explore enhanced contributions to the GWB from high redshift (z ≳ 1) SMBHBs. We find that the GWB amplitude may be higher than fiducial predictions by as much as ∼1 dex if much of the SMBH mass density was established by z ∼ 1. Beyond pulsar timing constraints, further observations of the high redshift SMBH population from the James Webb Space Telescope and the Laser Interferometer Space Antenna will be key for constraining the GWB contribution of mid-high-z SMBHBs.

Copyright and License

© 2025. The Author(s). Published by the American Astronomical Society.

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement

We would like to thank the referee for valuable comments. We would like to thank Fabian Walter, Paul Lasky, and Ryan Shannon for useful discussions. We would like to thank Joseph Lazio, Priya Natarajan, and Jenny Greene for their valuable feedback. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under grant No. DGE-1745301.

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Additional details

Created:
June 26, 2025
Modified:
June 26, 2025