Zooming into local active galactic nuclei: The power of combining SDSS-IV MaNGA with higher resolution integral field unit observations
Dominika Wylezalek, Allan Schnorr M\"uller, Nadia L. Zakamska, Thaisa, Storchi-Bergmann, Jenny E. Greene, Francisco M\"uller-S\'anchez, Michael, Kelly, Guilin Liu, David R. Law, Jorge K. Barrera-Ballesteros, Rogemar A., Riffel, Daniel Thomas

TL;DR
This study combines large-scale MaNGA data with high-resolution Gemini IFU observations to investigate how AGN luminosity influences the launching and propagation of ionized gas outflows in galaxies, revealing the transition from localized to galaxy-wide feedback.
Contribution
It demonstrates the importance of combining different spatial resolution IFU data to understand AGN-driven outflows across scales, especially in the transitional luminosity range.
Findings
Low-luminosity AGN show evidence of young or stalled outflows at high resolution.
High-luminosity AGN exhibit large-scale outflows connected to nuclear regions.
Combining large-scale and high-resolution data is crucial for understanding wind evolution.
Abstract
Ionised gas outflows driven by active galactic nuclei (AGN) are ubiquitous in high luminosity AGN with outflow speeds apparently correlated with the total bolometric luminosity of the AGN. This empirical relation and theoretical work suggest that in the range L_bol ~ 10^43-45 erg/s there must exist a threshold luminosity above which the AGN becomes powerful enough to launch winds that will be able to escape the galaxy potential. In this paper, we present pilot observations of two AGN in this transitional range that were taken with the Gemini North Multi-Object Spectrograph Integral Field Unit (IFU). Both sources have also previously been observed within the Sloan Digital Sky Survey-IV (SDSS) Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey. While the MaNGA IFU maps probe the gas fields on galaxy-wide scales and show that some regions are dominated by AGN ionization,…
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.
