Classification of Blazar objects based on Logistic regression model

Abstract

We collecte 205 Blazars (142 BL Lacertae objects and 63 flat spectrum radio quasars(FSRQs)),and investigate the correlation between the redshift, the fluxes in the radio band (5 GHz), optical (V band) , X-ray (1 keV), and the X-ray photon spectral index for the BL Lacertae objects and FSRQs by the correlation analysis and Logistic regression model. The results indicate that major influencing factors on Blazar object classification are the redshift, the fluxes in the radio band (5 GHz), and the X-ray photon spectral index. The derived equation is effective as a substantial criterion for Blazar objects classification, of which the accuracy is 91.2%. Our results strongly support the division of Blazar objects into BL Lacertae objects and FSRQs. We compare the properties of BL Lacertae objects and FSRQs from the fluxes in the optical (V band) and X-ray (1 keV), and find that BL Lacertae objects are not significantly different from FSRQs. The implications of these correlations, which support the evolutionary sequence of Blazar objects, are also discussed.