English

Parameter control for binary black hole initial data

General Relativity and Quantum Cosmology 2025-12-19 v1

Abstract

When numerically solving Einstein's equations for binary black holes (BBH), we must find initial data on a three-dimensional spatial slice by solving constraint equations. The construction of initial data is a multi-step process, in which one first chooses freely specifiable data that define a conformal background and impose boundary conditions. Then, one numerically solves elliptic equations and calculates physical properties such as horizon masses, spins, and asymptotic quantities from the solution. To achieve desired properties, one adjusts the free data in an iterative ``control'' loop. Previous methods for these iterative adjustments rely on Newtonian approximations and do not allow the direct control of total energy and angular momentum of the system, which becomes particularly important in the study of hyperbolic encounters of black holes. Using the SpECTRE\texttt{SpECTRE} code, we present a novel parameter control procedure that benefits from Broyden's method in all controlled quantities. We use this control scheme to minimize drifts in bound orbits and to enable the construction of hyperbolic encounters. We see that the activation of off-diagonal terms in the control Jacobian gives us better efficiency when compared to the simpler implementation in the Spectral Einstein Code (SpEC\texttt{SpEC}). We demonstrate robustness of the method across extreme configurations, including spin magnitudes up to χ=0.9999\chi = 0.9999, mass ratios up to q=50q = 50, and initial separations up to D0=1000MD_0 = 1000M. Given the open-source nature of SpECTRE\texttt{SpECTRE}, this is the first time a parameter control scheme for constructing bound and unbound BBH initial data is available to the numerical-relativity community.

Keywords

Cite

@article{arxiv.2509.07291,
  title  = {Parameter control for binary black hole initial data},
  author = {Iago B. Mendes and Nils L. Vu and Oliver Long and Harald P. Pfeiffer and Robert Owen},
  journal= {arXiv preprint arXiv:2509.07291},
  year   = {2025}
}