EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems
Abstract
We propose a new method for identifying active galactic nuclei (AGN) in low mass () galaxies. This method relies on spectral energy distribution (SED) fitting to identify galaxies whose radio flux density has an excess over that expected from star formation alone. Combining data in the Galaxy and Mass Assembly (GAMA) G23 region from GAMA, Evolutionary Map of the Universe (EMU) early science observations, and Wide-field Infrared Survey Explorer (WISE), we compare this technique with a selection of different AGN diagnostics to explore the similarities and differences in AGN classification. We find that diagnostics based on optical and near-infrared criteria (the standard BPT diagram, the WISE colour criterion, and the mass-excitation, or MEx diagram) tend to favour detection of AGN in high mass, high luminosity systems, while the ``ProSpect'' SED fitting tool can identify AGN efficiently in low mass systems. We investigate an explanation for this result in the context of proportionally lower mass black holes in lower mass galaxies compared to higher mass galaxies and differing proportions of emission from AGN and star formation dominating the light at optical and infrared wavelengths as a function of galaxy stellar mass. We conclude that SED-derived AGN classification is an efficient approach to identify low mass hosts with low radio luminosity AGN.
Keywords
Cite
@article{arxiv.2402.11817,
title = {EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems},
author = {Jahang Prathap and Andrew M. Hopkins and Aaron S. G. Robotham and Sabine Bellstedt and José Afonso and Ummee T. Ahmed and Maciej Bilicki and Malcolm N. Bremer and Sarah Brough and Michael J. I. Brown and Yjan Gordon and Benne W. Holwerda and Denis Leahy and Ángel R. López-Sánchez and Joshua R. Marvil and Tamal Mukherjee and Isabella Prandoni and Stanislav S. Shabala and Tessa Vernstrom and Tayyaba Zafar},
journal= {arXiv preprint arXiv:2402.11817},
year = {2024}
}
Comments
16 pages, 12 figures, 5 tables. Accepted for publication in PASA