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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10308 - Astronomy (including astrophysics,space science)

Result continuities

  • Project

  • 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