Deep-learning classification of eclipsing binaries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F24%3A00585883" target="_blank" >RIV/67985815:_____/24:00585883 - isvavai.cz</a>
Result on the web
<a href="https://hdl.handle.net/11104/0353524" target="_blank" >https://hdl.handle.net/11104/0353524</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31577/caosp.2024.54.2.167" target="_blank" >10.31577/caosp.2024.54.2.167</a>
Alternative languages
Result language
angličtina
Original language name
Deep-learning classification of eclipsing binaries
Original language description
We present a deep-learning model for the classification of eclipsing binaries. Our classifier provides a tool for the categorization of light curves of eclipsing binaries into four classes: detached systems with and without spots, and over-contact systems with and without spots. The classifier was trained on 200 000 synthetic light curves created using ELISa code. We randomly selected 100 light curves from the GAIA catalogue, which were fitted for evaluation purposes, and their morphologies were determined. We tested several classifiers and found that the best-performing classifier combined a Long Short-Term Memory (LSTM) layer and two one-dimensional convolutional neural networks. The precision from the evaluation set was 97% compared with the predicted precision of 94% for the validation of synthetic data. Our classifier is more likely to successfully process data from subsequent large observational surveys.n
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Contributions of the Astronomical Observatory Skalnaté Pleso
ISSN
1335-1842
e-ISSN
1336-0337
Volume of the periodical
54
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
4
Pages from-to
167-170
UT code for WoS article
001178776600019
EID of the result in the Scopus database
2-s2.0-85193014109