Modeling nuclei of radio galaxies from VLBI radio observations. Application to the BL Lac Object S5 1803+784
J. Roland (1), S. Britzen (2), N. A. Kudryavtseva (2,3), A. Witzel, (2), M. Karouzos (2) ((1) Institut d'Astrophysique, (2) Max-Planck-Institut, for Radioastronomy, (3) Astronomical Institute of St.-Petersburg State, University)

TL;DR
This paper introduces a novel method to model the trajectories of VLBI radio components assuming a binary black hole system at the nucleus, enabling the deduction of source inclination and Lorentz factor from coordinate variations.
Contribution
The paper presents a new astrometric approach to fit VLBI component trajectories considering binary black holes, providing insights into source geometry and black hole system parameters.
Findings
Inclination angle of 5.8±1.8 degrees for S5 1803+784
Bulk Lorentz factor of 3.7±0.3 for ejected component
Identified BBH system family with specific period ratio Tp/Tb~1.967
Abstract
We present a new method to fit the variations of both coordinates of a VLBI component as a function of time, assuming that the nucleus of the radio source contains a binary black hole system (BBH system). The presence of a BBH system produces 2 perturbations of the trajectory of the ejected VLBI components. By using only the VLBI coordinates, the problem we have to solve reduces to an astrometric problem. Knowledge of the variations of the VLBI coordinates as a function of time contains the kinematical information, thus we are able to deduce the inclination angle of the source and the bulk Lorentz factor of the ejected component. Generally, there is a family of the BBH system producing the same fit to our data. To illustrate this method, we apply it to the source 1807+784. We find that the inclination of the source is i = 5.8+-1.8 degrees and the VLBI component is ejected with a bulk…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
