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Automatic Search for Late Type Stars in DFBS

M. Topinka
Dublin Institute for Advanced Studies


The Digitised First Byurakan Survey (DFBS) contains low resolution optical spectra of more than 24'000'000 objects. However, the physical nature of majority of the sources is unknown. The size of the archive makes it impossible to examine the full archive by the common by-eye method.

Instead, machine learning positive/unlabelled classification method was applied to find distinct classes of objects, focusing to rare late type stars, such as M stars and carbon stars, findings a few new cases. These stars are good candidates for the exoplanet search.

2017 May 29, 13:30

Centro de AstrofÝsica da Universidade do Porto (Auditorium)
Rua das Estrelas, 4150-762 Porto

Instituto de Astrof├şsica e Ci├¬ncias do Espa├žo Universidade do Porto Faculdade de Ciências da Universidade de Lisboa Funda├ž├úo para a Ci├¬ncia e a Tecnologia
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