Machine learning techniques for analysis of photometric data from the Open Supernova catalog

M.V. Kornilov, M.V. Pruzhinskaya, K.L. Malanchev, E.O. Ishida, F. Mondon, A.A. Volnova & V.S. Korolev
The next generation of astronomical surveys will revolutionize our understanding of the Universe, raising unprecedented data challenges in the process. One of them is the impossibility to rely on human scanning for the identification of unusual/unpredicted astrophysical objects. Moreover, given that most of the available data will be in the form of photometric observations, such characterization cannot rely on the existence of high resolution spectroscopic observations. The goal of this project is to detect the...
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