Graziano Chiaro, Giovanni La Mura

Among the blazar - like sources, one of the most  very interesting class of extragalactic radio loud, gamma-ray emitters are sources with the radiative jet misaligned  with the observer . Those sources are known as  Misaligned Active Galactic Nuclei (MAGN). These sources are recognized as parent population of blazars  then understanding MAGNs features improves also the knowledge of the energetic life of their parent sources. Using a machine-learning technique we hunt new MAGN candidates among the  gamma-ray sources with uncertain classification detected by Fermi.  Morphological analysis based on literature and direct observations have been used as counterparts to validate the statistical analysis. 




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