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arXiv · 1902.04922

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

Artem Poliszczuk·Aleksandra Solarz·Agnieszka Pollo·Maciej Bilicki·Tsutomu T. Takeuchi·Hideo Matsuhara·Tomotsugu Goto·Toshinobu Takagi·Takehiko Wada·Yoichi Ohyama·Hitoshi Hanami·Takamitsu Miyaji·Nagisa Oi·Matthew Malkan·Kazumi Murata·Helen Kim·Jorge Díaz Tello
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Abstract

The aim of this work is to create 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.

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Artem Poliszczuk, Aleksandra Solarz, Agnieszka Pollo, Maciej Bilicki, Tsutomu T. Takeuchi, Hideo Matsuhara, Tomotsugu Goto, Toshinobu Takagi, Takehiko Wada, Yoichi Ohyama, Hitoshi Hanami, Takamitsu Miyaji, Nagisa Oi, Matthew Malkan, Kazumi Murata, Helen Kim, Jorge Díaz Tello. 2019-02-11. AGN selection in the AKARI NEP deep field with the fuzzy SVM algorithm. https://doi.org/10.1093/pasj/psz043

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