English

Efficient multi-timescale dynamics of precessing black-hole binaries

General Relativity and Quantum Cosmology 2023-07-26 v2 High Energy Astrophysical Phenomena

Abstract

We present analytical and numerical progress on black-hole binary spin precession at second post-Newtonian order using multi-timescale methods. In addition to the commonly used effective spin which acts as a constant of motion, we exploit the weighted spin difference and show that such reparametrization cures the coordinate singularity that affected the previous formulation for the case of equal-mass binaries. The dynamics on the precession timescale is written down in closed form in both coprecessing and inertial frames. Radiation reaction can then be introduced in a quasi-adiabatic fashion such that, at least for binaries on quasi-circular orbits, gravitational inspirals reduce to solving a single ordinary differential equation. We provide a broad review of the resulting phenomenology and rewrite the relevant physics in terms of the newly adopted parametrization. This includes the spin-orbit resonances, the up-down instability, spin propagation at past time infinity, and new precession estimators to be used in gravitational-wave astronomy. Our findings are implemented in version 2 of the public Python module PRECESSION. Performing a precession-averaged post-Newtonian evolution from/to arbitrarily large separation takes 0.1\lesssim 0.1 s on a single off-the-shelf processor - a 50x speedup compared to our previous implementation. This allows for a wide variety of applications including propagating gravitational-wave posterior samples as well as population-synthesis predictions of astrophysical nature.

Keywords

Cite

@article{arxiv.2304.04801,
  title  = {Efficient multi-timescale dynamics of precessing black-hole binaries},
  author = {Davide Gerosa and Giulia Fumagalli and Matthew Mould and Giovanni Cavallotto and Diego Padilla Monroy and Daria Gangardt and Viola De Renzis},
  journal= {arXiv preprint arXiv:2304.04801},
  year   = {2023}
}

Comments

Code available at https://github.com/dgerosa/precession

R2 v1 2026-06-28T09:58:07.438Z