The paper develops a method for detecting optical binary stars based on the use of astrometric catalogs in combination with machine learning (ML) methods. A computational experiment was carried out on the example of the HIPPARCOS mission catalog and the Pan-STARRS (PS1) catalog by applying the suggested method. It has shown that the reliability of predicting a stellar binarity reaches 90-95%. We note the prospects and effectiveness of creating a proprietary research platform - Cognotron.
@article{arxiv.2208.03269,
title = {An adaptive algorithm for detecting double stars in astrometric surveys},
author = {Mikhail V. Sazhin and Valerian Sementsov and Sergey Sorokin and Dan Lubarskiy and Alexander Raikov},
journal= {arXiv preprint arXiv:2208.03269},
year = {2022}
}