Prospects for observing supermassive black hole binaries with the space-ground interferometer

TL;DR

This paper evaluates the potential for observing supermassive black hole binaries using space-ground interferometry, employing neural networks to identify promising candidates and assess their observability with the Millimetron Space Observatory.

Contribution

It introduces a neural network-based method to estimate fluxes of supermassive binary black hole candidates and identifies 17 promising sources for future space-ground interferometric observation.

Findings

Identified 17 candidate SMBBHs suitable for observation.

Developed a neural network to estimate flux at 240 GHz.

Provided a list of candidates for future validation.

Abstract

A list of candidates for \textit{supermassive binary black holes} (SMBBHs), compiled from available data on the variability in the optical range and the shape of the emission spectrum, is analysed. An artificial neural network is constructed to estimate the radiation flux at 240~GHz. For those candidate SMBBH for which the network building procedure was feasible, the criterion of the possibility of observing the source at the \textit{Millimetron Space Observatory} (MSO) was tested. The result is presented as a table of 17 candidate SMBBHs. Confirmation (or refutation) of the duality of these objects by means of observational data which could be commited on a space-ground interferometer with parameters similar to those of the MSO will be an important milestone in the development of the theory of galaxy formation.