Münster 2017 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 59: Gammaastronomie 3

T 59.3: Vortrag

Dienstag, 28. März 2017, 17:25–17:40, H 2

Study on the classification of blazars with machine learning techniques using multiwavelength information — •Konstantin Pfrang — Technische Universität Dortmund

The Third Fermi-LAT source Catalog (3FGL) is the deepest all sky survey in gamma-rays so far. Though there are significant achievements in classifying the objects to source types, 1010 sources could not be linked to any of them, and 573 are associated to Active Galactic Galaxies (AGNs) but without any further classification.

By now machine learning techniques have become an important tool for exploring astrophysical data. In previous works the classification with those techniques was only based on information from gamma-ray observation. The removal of the restriction on only one single energy regime provides further information about the energy spectrum. Therefor it is crucial to find counterparts to 3FGL sources in catalogs of other wavelengths.

In this talk, a method to identify possible counterparts for 3FGL sources is introduced and applied to the radio catalog NVSS. Furthermore, the performance of the machine learning algorithms is studied using the framework RapidMiner.