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Dmitry Kudryavtsev
Yulia Sotnikova
Vladislav Stolyarov
Timur Mufakharov
Valery Vlasyuk
Yulia Cherepkova

Abstract

Based on the collected multiwavelength data, we perform a cluster analysis for the blazars of the Roma-BZCAT catalog, selecting groups of blazars with similar properties. Using machine learning methods, we constructed an independent classification of the blazars and compared it with the known Roma-BZCAT classification. The clustering algorithms divide both BL Lac-type objects and flat-spectrum radio quasars (FSRQs) into two subclasses along with a separate group of mixed BL Lacs and FSRQs. The clustering did not reveal difference between the BL Lacs and galaxy-dominated BL Lacs, unlike in the Roma-BZCAT classification.

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How to Cite
Kudryavtsev D., Sotnikova Y., Stolyarov V., et al., 2023. Acta Astrophysica Taurica, vols. 4, nos. 3, pp. 5–10. DOI: 10.34898/aat.vol4.iss3.pp5-10
Section
Modern Instruments and Methods in Astronomy Conference Proceedings

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