AGN selection in the AKARI NEP deep field with the fuzzy SVM algorithm
2019.05.22 14:01 - AgnieszkaTurlejSeria:
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.
Załączniki:
Załącznik | Wielkość |
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seminarium_studium_doktoranckiego_ncbj_20190527.pdf | 402.09 KB |
seminarium_studium_doktoranckiego_ncbj_20190527.docx | 14.01 KB |