Accurate mapping of spherically symmetric black holes in a parameterised framework

Abstract

The Rezzolla-Zhidenko (RZ) framework provides an efficient approach to characterize spherically symmetric black-hole spacetimes in arbitrary metric theories of gravity using a small number of variables [L. Rezzolla and A. Zhidenko, Phys. Rev. D. 90, 084009 (2014)]. These variables can be obtained in principle from near-horizon measurements of various astrophysical processes, thus potentially enabling efficient tests of both black-hole properties and the theory of general relativity in the strong-field regime. Here, we extend this framework to allow for the parametrization of arbitrary asymptotically-flat, spherically symmetric metrics and introduce the notion of a 11-dimensional (11D) parametrization space $\Pi$, on which each solution can be visualised as a curve or surface. An ${\mathcal{L}}^2$ norm on this space is used to measure the deviation of a particular compact object solution from the Schwarzschild black-hole solution. We calculate various observables, related to particle and photon orbits, within this framework and demonstrate that the relative errors we obtain are low (about $10^{-6}$). In particular, we obtain the innermost stable circular orbit (ISCO) frequency, the unstable photon-orbit impact parameter (shadow radius), the entire orbital angular speed profile for circular Kepler observers and the entire lensing deflection angle curve for various types of compact objects, including non-singular and singular black holes, boson stars and naked singularities, from various theories of gravity. Finally, we provide in a tabular form the first 11 coefficients of the fourth-order RZ parameterization needed to describe a variety of commonly used black-hole spacetimes. When comparing with the first-order RZ parameterization of astrophysical observables such as the ISCO frequency, the coefficients provided here increase the accuracy of two orders of magnitude or more.

arXiv comment19 pages, 2 figures, 5 tables. Comments welcome

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