Published January 15, 2024 | Version Published
Journal Article Open

GW190521: Tracing imprints of spin-precession on the most massive black hole binary

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of Massachusetts Dartmouth
  • 3. ROR icon Max Planck Institute for Gravitational Physics
  • 4. ROR icon Monash University
  • 5. ROR icon ARC Centre of Excellence for Gravitational Wave Discovery

Abstract

GW190521 is a remarkable gravitational-wave signal on multiple fronts: its source is the most massive black hole binary identified to date and could have spins misaligned with its orbit, leading to spin-induced precession; an astrophysically consequential property linked to the binary’s origin. However, due to its large mass, GW190521 was only observed during its final 3–4 cycles, making precession constraints puzzling and giving rise to alternative interpretations, such as eccentricity. Motivated by these complications, we trace the observational imprints of precession on GW190521 by dissecting the data with a novel time domain technique, allowing us to explore the morphology and interplay of the few observed cycles. We find that precession inference hinges on a quiet portion of the pre-merger data that is suppressed relative to the merger ringdown. Neither premerger nor postmerger data alone are the sole driver of inference, but rather their combination; in the quasicircular scenario, precession emerges as a mechanism to accommodate the lack of a stronger premerger signal in light of the observed postmerger. In terms of source dynamics, the premerger suppression arises from a tilting of the binary with respect to the observer. Establishing such a consistent picture between the source dynamics and the observed data is crucial for characterizing the growing number of massive binary observations and bolstering the robustness of ensuing astrophysical claims.

Copyright and License

© 2024 American Physical Society.

Acknowledgement

We thank Harrison Siegel for helpful discussions on ringdown analyses of GW190521, Sylvia Biscoveanu for insights about inference on high-mass gravitational-wave sources, Sophie Hourihane for assistance whitening gravitational-wave signals, Davide Gerosa for insight on alternative measures of precession, and Will Farr for insights about time-domain inference. We also extend thanks to Jacob Lange, Christopher Berry, Carlos Lousto, Juan Calderon Bustillo, and Salvatore Vitale for their helpful comments on our manuscript. This material is based upon work supported by NSF’s LIGO Laboratory which is a major facility fully funded by the National Science Foundation. S. M. and K. C. were supported by NSF Grant No. PHY-2110111. K. C. acknowledges support from the Sloan Foundation. The Flatiron Institute is funded by the Simons Foundation. V. V. acknowledges support from NSF Grant No. PHY-2309301, and the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 896869. I. M. is a recipient of the Australian Research Council Future Fellowships (FT190100574). The authors are grateful for computational resources provided by Cardiff University and supported by STFC Grant No. ST/I006285/1.

Software References

Software: emcee [99], lalsuite [100], numpy [101], scipy[102], h5py [103], matplotlib [104], seaborn [105], ringdown [84,85], gwtools [106].

Files

PhysRevD.109.024024.pdf

Files (2.4 MB)

Name Size
md5:167042ff8b03b33abd419b9eb9c25c12
2.4 MB Preview Download

Additional details

Identifiers

ISSN
2470-0029

Funding

National Science Foundation
PHY-2110111
Alfred P. Sloan Foundation
Simons Foundation
National Science Foundation
PHY-2309301
European Research Council
Marie Skłodowska-Curie Fellowship 896869
Australian Research Council
FT190100574
Science and Technology Facilities Council
ST/I006285/1