ASAS-SN contact binaries param. from neural network

Traditional approaches of light-curve analysis are inadequate for investigating such an extensive number of systems. This paper builds on prior research to present an advanced neural network model combined with the Markov Chain Monte Carlo algorithm and including spot parameters.

This model was applied to 12,785 contact binaries selected from All-Sky Automated Survey for Supernovae. By removing those with a goodness of fit less than 0.8, we obtained the physical parameters of 12,201 contact binaries. Among these binaries, 4332 are A-subtype systems, while 7869 are W-type systems, and 1594 systems have mass ratios larger than 0.72 (H-subtype systems).