Published January 2, 2025 | Published
Journal Article Open

Parameter control for eccentric, precessing binary black hole simulations with SpEC

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Max Planck Institute for Gravitational Physics
  • 3. ROR icon Cornell University

Abstract

Numerical relativity simulations of merging black holes provide the most accurate description of the binary dynamics and the emitted gravitational wave signal. However, practical considerations such as imperfect initial data and initial parameters mean that achieving target parameters, such as the orbital eccentricity or the black hole spin directions, at the beginning of the usable part of the simulation is challenging. In this paper, we devise a method to produce simulations with specific target parameters, namely the Keplerian orbital parameters—eccentricity, semimajor axis, mean anomaly—and the black hole spin vectors using SpEC. The method is an extension of the current process for achieving vanishing eccentricity and it is based on a parameter control loop that iteratively numerically evolves the system, fits the orbit with analytical post-Newtonian equations, and calculates updated input parameters. Through SpEC numerical simulations, we demonstrate and 𝒪⁡(degree) convergence for the orbital eccentricity and the spin directions respectively in ≤ 7 iterations. These tests extend to binaries with mass ratios 𝑞 ≤ 3, eccentricities 𝑒 ≤ 0.65, and spin magnitudes |𝜒| ≤ 0.75. Our method for controlling the orbital and spin parameters of numerical simulations can be used to produce targeted simulations in sparsely covered regions of the parameter space or study the dynamics of relativistic binaries.

Copyright and License

© 2025 American Physical Society.

Acknowledgement

The computations presented here were conducted partly in the Resnick High Performance Computing Center, a facility supported by Resnick Sustainability Institute at the California Institute of Technology. Computations for this work were also partly performed with the Wheeler cluster at Caltech. We thank Saul Teukolsky for discussions on fitting methods and the SXS group for advice on using SpEC. This work was supported by the Sherman Fairchild Foundation, and by NSF Grants No. PHY-2309211, No. PHY-2309231, and No. OAC-2209656 at Caltech.

Data Availability

The data that support the findings of this article are not publicly available because they are owned by a third party and the terms of use prevent public distribution. The data are available from the authors upon reasonable request.

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Created:
January 3, 2025
Modified:
January 3, 2025