Precision tracking of massive black hole spin evolution with LISA

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Abstract

The Laser Interferometer Space Antenna (LISA) will play a vital role in constraining the origin and evolution of massive black holes throughout the Universe. In this study we use a waveform model (IMRPhenomXPHM) that includes both precession and higher multipoles, and full Bayesian inference to explore the accuracy to which LISA can constrain the binary parameters. We demonstrate that LISA will be able to track the evolution of the spins -- magnitude and orientation -- to percent accuracy, providing crucial information on the dynamics and evolution of massive black hole binaries and the galactic environment in which the merger takes place. Such accurate spin-tracking further allows LISA to measure the recoil velocity of the remnant black hole to better than 100kms−1 (90\% credibility) and its direction to a few degrees, which provides additional important astrophysical information on the post-merger association. Using a systematic suite of binaries, we showcase that the component masses will be measurable at the sub-percent level, the sky area can be constrained to within ΔΩ90≈0.01deg2, and the binary redshift to less than 0.01.
Original languageEnglish
Article number124045
Number of pages19
JournalPhysical Review D - Particles, Fields, Gravitation and Cosmology
Volume108
DOIs
Publication statusPublished - 18 Dec 2023

Bibliographical note

14+6 pages, 8 figures, fixed typo

ACKNOWLEDGMENTS
We thank Clément Bonnerot and Jean-Baptiste Bayle for useful comments on the manuscript. G. P. gratefully acknowledges support from a Royal Society University Research Fellowship No. URF\R1\221500 and No. RF\ERE\221015. P. S. and G. P. acknowledge support from STFC Grant No. ST/V005677/1. H. M. and A. V. acknowledge the support of the UK Space Agency Grants No. ST/V002813/1 and No. ST/X002071/1. A. V. acknowledges the support of the Royal Society and Wolfson Foundation. Computations were performed on the University of Birmingham’s high performance computing service BlueBEAR and the Bondi HPC Cluster at the Birmingham Institute for Gravitational Wave Astronomy. Parts of this analysis made use of numpy [194], matplotlib [195], scipy [196], getdist [197], precession [136,137], and dynesty [111].

Keywords

  • gr-qc
  • astro-ph.GA
  • astro-ph.IM

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