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Understanding of the properties of neural network approaches for transient light curve approximations
Mariia Demianenko, Konstantin Malanchev, Ekaterina Samorodova +4
Modern-day time-domain photometric surveys collect a lot of observations of various astronomical objects and the coming era of large-scale surveys will provide even more informatio…
Supernova Light Curves Approximation based on Neural Network Models
Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak +4
Photometric data-driven classification of supernovae becomes a challenge due to the appearance of real-time processing of big data in astronomy. Recent studies have demonstrated th…
Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog
Stanislav Dobryakov, Konstantin Malanchev, Denis Derkach +1
We propose a novel approach for a machine-learning-based detection of the type Ia supernovae using photometric information. Unlike other approaches, only real observation data is u…