New Methods of Identifying AGN in the Early Universe using Spectroscopy and Photometry in the JWST Era

TL;DR

This paper evaluates spectroscopic and photometric techniques for identifying high-redshift AGN with JWST, emphasizing UV emission line diagnostics and SED fitting, and discusses their effectiveness and observational requirements.

Contribution

It introduces new diagnostic line ratios and SED-based methods for AGN identification in the early universe using JWST data, addressing limitations of optical techniques.

Findings

Line ratios (CIII]+CIV)/HeII and CIII]/HeII are effective AGN diagnostics.

HeII 1640/Hβ ratio can distinguish AGN from star-forming galaxies under low dust conditions.

Detection of HeII 1640 and OIII] 1665 lines improves classification reliability.

Abstract

We explore spectroscopic and photometric methods for identifying high-redshift galaxies containing an Active Galactic Nucleus (AGN) with JWST observations. After demonstrating the limitations of standard optical methods, which appear ineffective in the low-metallicity environment of the early universe, we evaluate alternative diagnostic techniques using the current JWST observational capabilities. Our analysis focuses on line ratios and equivalent widths (EWs) of UV emission lines: CIV, HeII $\lambda$1640, OIII] $\lambda$1665, and CIII], and the faint optical line, HeII $\lambda$4686. We find that the most valuable diagnostic quantities for finding AGN are the line ratios: (CIII] + CIV) / HeII $\lambda$1640 and CIII] / HeII $\lambda$1640, as well as the EW of HeII $\lambda$1640. For more reliable AGN identification, the HeII $\lambda$1640 and OIII] $\lambda$1665 lines would need to be detected separately. We show that the HeII $\lambda$1640/H$\beta$ ratio effectively separates AGN from star-forming galaxies, though it is contingent on a low dust content. We also show that in order to effectively use these diagnostics, future observations require longer exposure times, especially for galaxies at $z > 6$. Subsequently, we plot three real high-redshift sources on these diagrams which present strong UV emission lines. However, in order to classify them as strong AGN candidates, further study is needed due to the blending of HeII + OIII] and unreliable optical lines. Lastly, we carry out a selection process using spectral energy distribution (SED) fitting with EAZY to identify strong AGN candidates in the JADES NIRCam photometry. One galaxy in our sample emerged as a strong AGN candidate, supported by both photometric selection and strong UV emission. We present a sample of similar AGN candidates in the JADES data based on this method.