EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems
Article
Prathap, Jahang, Hopkins, Andrew M., Robotham, Aaron S.G., Bellstedt, Sabine, Afonso, José, Ahmed, Ummee T., Bilicki, Maciej, Bremer, Malcolm N., Brough, Sarah, Brown, Michael J.I., Gordon, Yjan, Holwerda, Benne W., Leahy, Denis, Lopez-Sanchez, Angel R., Marvil, Joshua R., Mukherjee, Tamal, Prandoni, Isabella, Shabala, Stanislav S., Vernstrom, Tessa and Zafar, Tayyaba. 2024. "EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems." Publications of the Astronomical Society of Australia. 41. https://doi.org/10.1017/pasa.2024.9
Article Title | EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems |
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ERA Journal ID | 40237 |
Article Category | Article |
Authors | Prathap, Jahang, Hopkins, Andrew M., Robotham, Aaron S.G., Bellstedt, Sabine, Afonso, José, Ahmed, Ummee T., Bilicki, Maciej, Bremer, Malcolm N., Brough, Sarah, Brown, Michael J.I., Gordon, Yjan, Holwerda, Benne W., Leahy, Denis, Lopez-Sanchez, Angel R., Marvil, Joshua R., Mukherjee, Tamal, Prandoni, Isabella, Shabala, Stanislav S., Vernstrom, Tessa and Zafar, Tayyaba |
Journal Title | Publications of the Astronomical Society of Australia |
Journal Citation | 41 |
Article Number | e016 |
Number of Pages | 14 |
Year | 2024 |
Publisher | Cambridge University Press |
Place of Publication | United Kingdom |
ISSN | 1323-3580 |
1448-6083 | |
Digital Object Identifier (DOI) | https://doi.org/10.1017/pasa.2024.9 |
Web Address (URL) | https://www.cambridge.org/core/journals/publications-of-the-astronomical-society-of-australia/article/emugama-a-technique-for-detecting-active-galactic-nuclei-in-low-mass-systems/41620F898F6465898E911CA06B7C6C81 |
Abstract | We propose a new method for identifying active galactic nuclei (AGN) in low mass (M∗ ≤ 1010M☉) 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 | Galaxies active; galaxies: evolution; galaxies: nuclei; galaxies: spectral energy distribution; galaxies: radio AGN |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 5101. Astronomical sciences |
Byline Affiliations | Macquarie University |
ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions, Australia | |
International Centre for Radio Astronomy Research, Australia | |
University of Lisbon, Portugal | |
Centre for Astrophysics | |
Polish Academy of Sciences, Poland | |
University of Bristol, United Kingdom | |
University of New South Wales | |
Monash University | |
University of Wisconsin-Madison, United States | |
University of Louisville, United States | |
University of Calgary, Canada | |
National Radio Astronomy Observatory, United States | |
INAF Institute for Radioastronomy, Italy | |
University of Tasmania | |
University of Western Australia |
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