Cluster analysis on the example of blazars from the Roma-BZCAT catalog
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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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The reported study was funded by the Ministry of Science and Higher Education of the Russian Federation under contract 075-15-2022-1227.
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