BASS XLVIII: [Ne v] {\lambda}3427 Emission in Powerful Nearby Active Galactic Nuclei
Tomer Reiss, Benny Trakhtenbrot, Claudio Ricci, Franz E. Bauer, Michael J. Koss, Kohei Ichikawa, Darshan Kakkad, Richard Mushotzky, Kyuseok Oh, Alessandro Peca, Rudolf B\"ar, Yaherlyn Diaz, Fiona Harrison, Meredith C. Powell, Eleonora Sani, Daniel Stern, and C. Megan Urry

TL;DR
This study examines the [Ne v] 3427 emission line in a large sample of X-ray selected AGN, finding it a reliable tracer of AGN activity even in obscured systems, with consistent emission ratios and no strong dependence on AGN properties.
Contribution
It provides the first large-scale analysis of [Ne v] emission in a diverse AGN sample, confirming its robustness as an AGN indicator across different obscuration levels.
Findings
[Ne v] detection in 43% of AGN, unaffected by obscuration
Median line-to-X-ray luminosity ratios are stable and comparable to other tracers
No significant correlation between [Ne v] strength and AGN/SMBH properties
Abstract
We investigate the high-ionization, narrow [Ne v] 3427 emission line in a sample of over 340 ultrahard X-ray (14-195 keV) selected Active Galactic Nuclei (AGN) drawn from the BASS project. The analysis includes measurements in individual and stacked spectra, and considers several key AGN properties such as X-ray luminosity, supermassive black hole (SMBH) mass, Eddington ratios, and line-of-sight column density. The [Ne v] 3427 line is robustly detected in ~43% (146/341) of the AGN in our sample, with no significant trends between the detection rate and key AGN/SMBH properties. In particular, the detection rate remains high even at the highest levels of obscuration (>70% for log[N_H/cm^-2] > 23). On the other hand, even some of our highest signal-to-noise spectra (S/N > 50) lack a robust [Ne v] detection. The typical (median) scaling ratios between [Ne v] line emission…
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.
