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

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 $\lesssim 10^{-3}$ and $O(\mathrm{degree})$ convergence for the orbital eccentricity and the spin directions respectively in $\le 7$ iterations. These tests extend to binaries with mass ratios $q\le 3$, eccentricities $e\le 0.65$, and spin magnitudes $|\chi |\le 0.75$. 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.

12 pages, 9 figures, accepted to PRD

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Cited by in corpus (6)

• Accurate waveforms for eccentric, aligned-spin binary black holes: The multipolar effective-one-body model SEOBNRv5EHM
• The SXS Collaboration's third catalog of binary black hole simulations
• Defining eccentricity for spin-precessing binaries
• Quasi-Normal Mode Ringing of Binary Black Hole Mergers in Scalar-Gauss-Bonnet Gravity
• A comprehensive look into the accuracy of SpEC binary black hole waveforms
• Parameter control for binary black hole initial data