Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network

A contact binary may be the progenitor of a red nova that eventually produces a merger event and have a cut-off period of around 0.2 days. Therefore, a large number of contact binaries is needed to search for the progenitor of red novae and to study the characteristics of short-period contact binari...

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Bibliographic Details
Published in:The Astronomical journal 2024-05, Vol.167 (5), p.192
Main Authors: Ding, Xu, Song, ZhiMing, Wang, ChuanJun, Ji, KaiFan
Format: Article
Language:English
Subjects:
Binary stars
Contact binary stars
Eclipsing binary stars
Goodness of fit
Light
Light curve
Neural networks
Variable stars
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Summary:A contact binary may be the progenitor of a red nova that eventually produces a merger event and have a cut-off period of around 0.2 days. Therefore, a large number of contact binaries is needed to search for the progenitor of red novae and to study the characteristics of short-period contact binaries. In this paper, we employ the Phoebe program to generate a large number of light curves based on the fundamental parameters of contact binaries. Using these light curves as samples, an autoencoder model is trained, which can reconstruct the light curves of contact binaries very well. When the error between the output light curve from the model and the input light curve is large, it may be due to other types of variable stars. The goodness of fit ( R 2 ) between the output light curve from the model and the input light curve is calculated. Based on the thresholds for global goodness of fit ( R 2 ), period, range magnitude, and local goodness of fit ( R 2 ), a total of 1322 target candidates were obtained.
ISSN:0004-6256
1538-3881
DOI:10.3847/1538-3881/ad3048