Algorithms And Programs For Strong Gravitational Lensing In Kerr Space-time Including Polarization

TL;DR

This paper introduces algorithms and software tools for modeling strong gravitational lensing effects, including polarization, around Kerr black holes, applicable to astrophysical observations of AGNs and quasars.

Contribution

The paper presents new algorithms and two software implementations (MATLAB and Python) for simulating strong gravitational lensing and polarization effects near rotating black holes.

Findings

Algorithms accurately model polarization rotation due to gravitational Faraday effect.

Software implementations are optimized with parallel computing techniques.

Application demonstrates inclination angle effects on observed polarization and lensing magnification.

Abstract

Active galactic nuclei (AGNs) and quasars are important astrophysical objects to understand. Recently, microlensing observations have constrained the size of the quasar X-ray emission region to be of the order of 10 gravitational radii of the central supermassive black hole. For distances within a few gravitational radii, light paths are strongly bent by the strong gravity field of the central black hole. If the central black hole has nonzero angular momentum (spin), a photon's polarization plane will be rotated by the gravitational Faraday effect. The observed X-ray flux and polarization will then be influenced significantly by the strong gravity field near the source. Consequently, linear gravitational lensing theory is inadequate for such extreme circumstances. We present simple algorithms computing strong lensing effects of Kerr black holes, including effects on polarization. Our algorithms are realized in a program "KERTAP" in two versions: MATLAB and Python. The key ingredients of KERTAP are: a graphic user interface, a {\it backward} ray-tracing algorithm, a polarization propagator dealing with gravitational Faraday rotation, and algorithms computing observables such as flux magnification and polarization angles. Our algorithms can be easily realized in other programming languages such as FORTRAN, C, and C++. The MATLAB version of KERTAP is parallelized using the MATLAB Parallel Computing Toolbox and the Distributed Computing Server. The Python code was sped up using Cython and supports full implementation of MPI using 'mpi4py' package. As an example, we investigate the inclination angle dependence of the observed polarization and the strong lensing magnification of AGN X-ray emission. We conclude that it is possible to perform complex numerical-relativity-related computations using interpreted languages such as MATLAB and Python.