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Detection of new Misaligned Active Galactic Nuclei in the Fermi-LAT Fourth Source Catalog using machine learning techniques

Deval, Luca 1; Donato, Fiorenza; Di Mauro, Mattia
1 Institut für Astroteilchenphysik (IAP), Karlsruher Institut für Technologie (KIT)


Active galactic nuclei (AGN) are the most luminous and abundant objects in the γ-ray sky. AGN with jets misaligned along the line-of-sight (MAGN) appear fainter than the brighter blazars, but are expected more numerous. Fermi Large Area Telescope (LAT) detected 40 MAGNs compared to 1943 blazars. The aim of this study is to identify new MAGN candidates in the blazars of uncertain type (BCUs) listed in the Fermi-LAT 10-year Source Catalog using an artificial neural network (ANN). The statistical tests applied to the trained ANN reveals that a classification with machine learning techniques is feasible with high accuracy and precision. The trained ANN has been applied to the 1120 BCUs which have been classified into 655 BL Lacs and 314 flat spectrum radio quasars (FSRQs). Among the re-classified BCUs, the possible MAGN candidates have been determined by applying thresholds on the spectral index, variability index and gamma-ray luminosity. Our results led to 36 possible MAGN candidates, which respect the main physical properties of the 40 MAGN already listed in the Fourth Fermi Catalog.

Verlagsausgabe §
DOI: 10.5445/IR/1000154351
Veröffentlicht am 09.01.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.03.2022
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000154351
Erschienen in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021), Ed.: A. Kappes
Veranstaltung 37th International Cosmic Ray Conference (ICRC 2021), Online, 12.07.2021 – 23.07.2021
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten Art.-Nr.: 667
Serie Pos proceedings of science ; 395
Vorab online veröffentlicht am 05.07.2021
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