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- Title
Active galactic nucleus selection in the AKARI NEP-Deep field with the fuzzy support vector machine algorithm.
- Authors
Poliszczuk, Artem; Solarz, Aleksandra; Pollo, Agnieszka; Bilicki, Maciej; Takeuchi, Tsutomu T; Matsuhara, Hideo; Goto, Tomotsugu; Takagi, Toshinobu; Wada, Takehiko; Ohyama, Yoichi; Hanami, Hitoshi; Miyaji, Takamitsu; Oi, Nagisa; Malkan, Matthew; Murata, Kazumi; Kim, Helen; Tello, Jorge Díaz; Team, NEP
- Abstract
Highlights from the article: Outside the region of the training set, the training sample Being an AGN for the AGN candidates (blue) and Other class candidates (orange). Applied to the AKARI NEP-Deep data for the AGN Distribution of the objects from the generalization unlabeled sample and training samples (a) and measurement uncertainty distribution for Objects from the training and generalization samples (b) in the N2 and N3 passbands for the 6 colors feature set data.
- Subjects
ACTIVE galactic nuclei; SUPPORT vector machines; ALGORITHMS
- Publication
Publications of the Astronomical Society of Japan, 2019, Vol 71, Issue 3, pN.PAG
- ISSN
0004-6264
- Publication type
Article
- DOI
10.1093/pasj/psz043