Published January 21, 2025 | Published
Journal Article Open

Impact of antisymmetric contributions to signal multipoles in the measurement of black-hole spins

  • 1. ROR icon University of Birmingham
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Cardiff University

Abstract

Many current models for the gravitational-wave signal from precessing black-hole binaries neglect an asymmetry in the ±m multipoles. The asymmetry is weak, but is responsible for out-of-plane recoil, which for the final black hole can be several thousand km/s. In this work we show that the multipole asymmetry is also necessary to accurately measure the black-hole spins. We consider synthetic signals calculated from the numerical relativity surrogate model ur7dq4, which includes the multipole asymmetry, and measure the signal parameters using two versions of the same model, one with and one without the multipole asymmetry included. We find that in high signal-to-noise-ratio observations where the spin magnitude and direction can in principle be measured accurately, neglecting the multipole asymmetry can result in biased measurements of these quantities. Measurements of the black-hole masses and the standard aligned-spin combination χeff are not in general strongly affected. As an illustration of the impact of the multipole asymmetry on a real signal we consider the LIGO-Virgo-KAGRA observation GW200129_065458, and find that the inclusion of the multipole asymmetry is necessary to identify the binary as unequal mass and a high in-plane spin in the primary. Published by the American Physical Society 2025

Copyright and License

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Acknowledgement

We thank Charlie Hoy for discussions and assistance with parameter estimation analyses, and Lionel London for sharing his numerical-relativity data processing tools. We also thank Steve Fairhurst, Vivien Raymond, Frank Ohme, Patricia Schmidt, and Geraint Pratten for discussions. The authors were supported in part by Science and Technology Facilities Council (STFC) Grant No. ST/V00154X/1 and European Research Council (ERC) Consolidator Grant No. 647839. P. K. was also supported by the GW consolidated grant: STFC Grant No. ST/V005677/1. J. T. acknowledges support from the NASA LISA Preparatory Science Grant No. 20-LPS20-0005. This research was undertaken using the supercomputing facilities at Cardiff University operated by Advanced Research Computing at Cardiff (ARCCA) on behalf of the Cardiff Supercomputing Facility and the HPC Wales and Supercomputing Wales (SCW) projects. We acknowledge the support of the latter, which is part-funded by the European Regional Development Fund (ERDF) via the Welsh Government. Plots were prepared with matplotlib [65] and pesummary [66]. Parameter estimation was performed with the lalinference software library [49]. numpy [67] and scipy [68] were also used during our analysis.

Files

PhysRevD.111.024050.pdf
Files (1.5 MB)
Name Size Download all
md5:db9ef872265f4efbda2a51d8b06acdc3
1.5 MB Preview Download

Additional details

Created:
January 22, 2025
Modified:
January 23, 2025