作者: Ting-Chi Huang , Tomotsugu Goto , Tetsuya Hashimoto , Nagisa Oi , Hideo Matsuhara
关键词: Hubble Deep Field 、 Galaxy 、 Spectral energy distribution 、 Astrophysics 、 Physics 、 Active galactic nucleus 、 Luminous infrared galaxy 、 Selection (genetic algorithm) 、 Extinction (astronomy) 、 Magnitude (astronomy)
摘要: We have developed an efficient Active Galactic Nucleus (AGN) selection method using 18-band Spectral Energy Distribution (SED) fitting in mid-infrared (mid-IR). AGNs are often obscured by gas and dust, those tend to be missed optical, UV soft X-ray observations. Mid-IR light can help us recover them obscuration free way their thermal emission. On the other hand, Star-Forming Galaxies (SFG) also strong PAH emission features mid-IR. Hence, establishing accurate separate populations of AGN SFG is important. However, previous mid-IR surveys, only 3 or 4 filters were available, thus was limited. combined AKARI's continuous 9 bands with WISE Spitzer data create 18 for selection. Among 4682 galaxies AKARI NEP deep field, 1388 selected hosts, which implies fraction 29.6$\pm$0.8$\%$ (among 47$\%$ Seyfert 1.8 2). Comparing result from SED into colour-colour diagram reveals that Seyferts studies. Our has been tested stacking median magnitude each sample. Using Chandra, we compared our WISE's colour box recovered more detected than methods 20$\%$.