AGN selection by 18-band SED fitting in mid-infrared in the AKARI NEP deep field
Ting-Chi Huang, Tomotsugu Goto, Tetsuya Hashimoto (NTHU), Nagisa Oi, (TUS), Hideo Matsuhara (ISAS)

TL;DR
This paper introduces a new 18-band SED fitting method in the mid-infrared to improve AGN selection in the AKARI NEP deep field, significantly increasing detection efficiency over traditional color-color diagram techniques.
Contribution
The study presents a novel SED fitting approach using 18 IR bands, enhancing AGN identification accuracy beyond previous color-based methods.
Findings
SED fitting recovers 50% of X-ray AGNs, doubling previous methods' efficiency.
The method identifies twice as many AGNs in the NEP sample compared to color selection.
Results suggest a potentially stronger black hole accretion history than previously thought.
Abstract
In this research, we provide a new, efficient method to select infrared (IR) active galatic nucleus (AGN). In the past, AGN selection in IR had been established by many studies using color-color diagrams. However, those methods have a problem in common that the number of bands is limited. The AKARI North Ecliptic Pole (NEP) survey was carried out by the AKARI Infrared Camera (IRC), which has 9 filters in mid-IR with a continuous wavelength coverage from 2 to 24m. Based on the intrinsic different mid-IR features of AGN and star-forming galaxies (SFGs), we performed SED fitting to separate these two populations by the best-fitting model. In the X-ray AGN sample, our method by SED fitting selects 50 AGNs, while the previous method by colour criteria recovers only 30 of them, which is a significant improvement. Furthermore, in the whole NEP deep sample, SED fitting…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstrophysical Phenomena and Observations · Astronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena
