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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | The Astronomical Journal |
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| Online Access: | https://doi.org/10.3847/1538-3881/ad3048 |
| _version_ | 1797223644940730368 |
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| author | Xu Ding ZhiMing Song ChuanJun Wang KaiFan Ji |
| author_facet | Xu Ding ZhiMing Song ChuanJun Wang KaiFan Ji |
| author_sort | Xu Ding |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T13:40:31Z |
| format | Article |
| id | doaj.art-2e867f3b0a8d465b9ea44a103b51aec7 |
| institution | Directory Open Access Journal |
| issn | 1538-3881 |
| language | English |
| last_indexed | 2024-04-24T13:40:31Z |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astronomical Journal |
| spelling | doaj.art-2e867f3b0a8d465b9ea44a103b51aec72024-04-04T08:40:55ZengIOP PublishingThe Astronomical Journal1538-38812024-01-01167519210.3847/1538-3881/ad3048Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural NetworkXu Ding0https://orcid.org/0000-0002-2427-161XZhiMing Song1ChuanJun Wang2KaiFan Ji3https://orcid.org/0000-0001-8950-3875Yunnan Observatories, Chinese Academy of Sciences (CAS) , P.O. Box 110, 650216 Kunming, People's Republic of China ; dingxu@ynao.ac.cn, wcj@ynao.ac.cn, jkf@ynao.ac.cn; Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences , P.O. Box 110, 650216 Kunming, People's Republic of China; Center for Astronomical Mega-Science, Chinese Academy of Sciences , 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of ChinaSchool of Information, Yunnan University of Finance and Economics , Kunming, People's Republic of China; Yunnan Key Laboratory of Service Computing , Kunming, People's Republic of ChinaYunnan Observatories, Chinese Academy of Sciences (CAS) , P.O. Box 110, 650216 Kunming, People's Republic of China ; dingxu@ynao.ac.cn, wcj@ynao.ac.cn, jkf@ynao.ac.cn; Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences , P.O. Box 110, 650216 Kunming, People's Republic of China; Center for Astronomical Mega-Science, Chinese Academy of Sciences , 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China; University of the Chinese Academy of Sciences , Yuquan Road 19#, Shijingshan Block, 100049 Beijing, People's Republic of ChinaYunnan Observatories, Chinese Academy of Sciences (CAS) , P.O. Box 110, 650216 Kunming, People's Republic of China ; dingxu@ynao.ac.cn, wcj@ynao.ac.cn, jkf@ynao.ac.cn; Key Laboratory of the Structure and Evolution of Celestial Objects, Chinese Academy of Sciences , P.O. Box 110, 650216 Kunming, People's Republic of China; Center for Astronomical Mega-Science, Chinese Academy of Sciences , 20A Datun Road, Chaoyang District, Beijing, 100012, People's Republic of China; University of the Chinese Academy of Sciences , Yuquan Road 19#, Shijingshan Block, 100049 Beijing, People's Republic of ChinaA 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.https://doi.org/10.3847/1538-3881/ad3048Binary starsEclipsing binary starsContact binary stars |
| spellingShingle | Xu Ding ZhiMing Song ChuanJun Wang KaiFan Ji Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network The Astronomical Journal Binary stars Eclipsing binary stars Contact binary stars |
| title | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network |
| title_full | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network |
| title_fullStr | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network |
| title_full_unstemmed | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network |
| title_short | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network |
| title_sort | detection of contact binary candidates observed by tess using the autoencoder neural network |
| topic | Binary stars Eclipsing binary stars Contact binary stars |
| url | https://doi.org/10.3847/1538-3881/ad3048 |
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