Survey of gravitational wave memory in intermediate mass ratio binaries

Tousif Islam, Scott E. Field, Gaurav Khanna, and Niels Warburton
Phys. Rev. D 108, 024046 – Published 20 July 2023

Abstract

The nonlinear gravitational wave (GW) memory effect is a distinct prediction in general relativity. While the effect has been well studied for comparable mass binaries, it has mostly been overlooked for intermediate mass ratio inspirals (IMRIs). We offer a comprehensive analysis of the phenomenology and detectability of memory effects, including contributions from subdominant harmonic modes, in heavy IMRIs consisting of a stellar mass black hole and an intermediate mass black hole. When formed through hierarchical mergers, for example when a GW190521-like remnant captures a stellar mass black hole, IMRI systems have a large total mass, large spin on the primary, and possibly residual eccentricity; features that potentially raise the prospect for memory detection. We compute both the displacement and spin nonlinear GW memory from the m0 gravitational waveforms computed within a black hole perturbation theory framework that is partially calibrated to numerical relativity waveforms. We probe the dependence of memory effects on mass ratio, spin, and eccentricity and consider the detectability of a memory signal from IMRIs using current and future GW detectors. We find that (i) while eccentricity introduces additional features in both displacement and spin memory, it does not appreciatively change the prospects of detectability, (ii) including higher modes into the memory computation can increase signal-to-noise (SNR) values by about 7% in some cases, (iii) the SNR from displacement memory dramatically increases as the spin approaches large, positive values, and (iv) spin memory from heavy IMRIs would, however, be difficult to detect with future generation detectors even from highly spinning systems. Our results suggest that hierarchical binary black hole mergers may be a promising source for detecting memory and could favorably impact memory forecasts.

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  • Received 22 September 2021
  • Accepted 23 June 2023

DOI:https://doi.org/10.1103/PhysRevD.108.024046

© 2023 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Tousif Islam1,2,3,4,*, Scott E. Field2,3, Gaurav Khanna1,3,5, and Niels Warburton6

  • 1Department of Physics, University of Massachusetts, Dartmouth, Massachusetts 02747, USA
  • 2Department of Mathematics, University of Massachusetts, Dartmouth, Massachusetts 02747, USA
  • 3Center for Scientific Computing and Visualization Research, University of Massachusetts, Dartmouth, Massachusetts 02747, USA
  • 4Kavli Institute for Theoretical Physics, University of California, Santa Barbara, California 93106, USA
  • 5Department of Physics, University of Rhode Island, Kingston, Rhode Island 02881, USA
  • 6School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland

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Issue

Vol. 108, Iss. 2 — 15 July 2023

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