2022/08/05 by Sazhin, Mikhail V., Sementsov, Valerian, Sorokin, Sergey +2
#FOS: Physical sciences #I.2.1 #Instrumentation and Methods for Astrophysics (astro-ph.IM) #J.2 #Solar and Stellar Astrophysics (astro-ph.SR)
paper · doi:10.48550/arxiv.2208.03269
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.