High-Accuracy Mass, Spin, and Recoil Predictions of Generic Black-Hole Merger Remnants

Vijay Varma, Davide Gerosa, Leo C. Stein, François Hébert, and Hao Zhang
Phys. Rev. Lett. 122, 011101 – Published 10 January 2019
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Abstract

We present accurate fits for the remnant properties of generically precessing binary black holes, trained on large banks of numerical-relativity simulations. We use Gaussian process regression to interpolate the remnant mass, spin, and recoil velocity in the seven-dimensional parameter space of precessing black-hole binaries with mass ratios q2, and spin magnitudes χ1, χ20.8. For precessing systems, our errors in estimating the remnant mass, spin magnitude, and kick magnitude are lower than those of existing fitting formulae by at least an order of magnitude (improvement is also reported in the extrapolated region at high mass ratios and spins). In addition, we also model the remnant spin and kick directions. Being trained directly on precessing simulations, our fits are free from ambiguities regarding the initial frequency at which precessing quantities are defined. We also construct a model for remnant properties of aligned-spin systems with mass ratios q8, and spin magnitudes χ1, χ20.8. As a byproduct, we also provide error estimates for all fitted quantities, which can be consistently incorporated into current and future gravitational-wave parameter-estimation analyses. Our model(s) are made publicly available through a fast and easy-to-use Python module called surfinBH.

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  • Received 26 September 2018
  • Revised 5 November 2018

DOI:https://doi.org/10.1103/PhysRevLett.122.011101

© 2019 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Vijay Varma1,*, Davide Gerosa1,†, Leo C. Stein1,2,§, François Hébert1,‡, and Hao Zhang1,3,∥

  • 1TAPIR 350-17, California Institute of Technology, 1200 E California Boulevard, Pasadena, California 91125, USA
  • 2Department of Physics and Astronomy, The University of Mississippi, University, Mississippi 38677, USA
  • 3Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA

  • *vvarma@caltech.edu
  • dgerosa@caltech.edu
  • fhebert@caltech.edu
  • §lcstein@olemiss.edu
  • zhangphy@sas.upenn.edu

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Vol. 122, Iss. 1 — 11 January 2019

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