AGN selection in the AKARI NEP deep field with the fuzzy SVM algorithm

Seria: 
Seminarium doktoranckie
Prelegent i afiliacja: 
Artem Poliszczuk, Studium Doktoranckie NCBJ
Data: 
wt., 2019-01-01 00:00
Miejsce: 
Sala 404 w NCBJ, Pasteura 7
Streszczenie: 

In my presentation I will describe a new catalog of reliable AGN candidates selected from the AKARI NEP-Deep field. Selection of the AGN candidates was done by applying a fuzzy SVM algorithm, which allows to incorporate measurement uncertainties into the classification process. The training dataset was based on the spectroscopic data available for selected objects in the NEP-Deep and NEP-Wide fields. The generalization sample was based on the AKARI NEP-Deep field data including objects without optical counterparts and making use of the infrared information only. A high quality catalog of previously unclassified 275 AGN candidates was prepared.