A Hybrid Method of Accurate Classification for Blazars of Uncertain Type in Fermi-LAT Catalogs

Significant progress in the classification of Fermi unassociated sources has led to an increase in the number of blazars being found. The optical spectrum is effectively used to classify the blazars into two groups such as BL Lac objects and flat spectrum radio quasars (FSRQs). However, the accurate...

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Veröffentlicht in:	The Astrophysical journal 2020-06, Vol.895 (2), p.133
Hauptverfasser:	Xu, Yijun, Huang, Weirong, Deng, Hui, Mei, Ying, Wang, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Astrophysics BL Lacertae objects Blazars Classification Feature extraction Machine learning Principal components analysis Quasars Spectral classification
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