AGN life cycles, SMBH Masses, and Galactic Winds: Advancing our Understanding of SMBH-Galaxy Co-evolution with the ngVLA

Date Issued
2019
Author(s)
Nyland, Kristina
•
Kirkpatrick, Allison
•
Spilker, Justin
•
Boizelle, Benjamin
•
Hall, Kirsten R.
•
•
Patil, Pallavi
•
Lacy, Mark
•
•
Rujopakarn, Wiphu
•
Harwood, Jeremy
•
Kimball, Amy
•
Alatalo, Katherine
•
Clarke, Tracy
Abstract
A key missing element in our understanding of cosmic assembly is the nature of energetic feedback from supermassive black holes (SMHBs) and the impact of active galactic nuclei (AGN) on galaxy evolution. The next-generation Very Large Array (ngVLA), which will provide a ten-fold improvement in sensitivity and angular resolution compared to the current VLA, will serve as a transformational new tool in our understanding of AGN feedback as a function of redshift and environment. By combining broadband continuum data with spectral line measurements of the cold gas contents and kinematics of galaxies, the ngVLA will probe the evolution and life cycles of the radio-quiet and radio-loud AGN populations in unprecedented detail, quantify the energetic impact of AGN feedback on the star-forming reservoirs of gas-rich galaxies, and place constraints on SMBH formation and growth. Here, we present an overview of how the current reference design of the ngVLA will facilitate these advancements in our understanding of SMBH-galaxy co-evolution, with an emphasis on prospects for continuum surveys, the detection of molecular outflows out to high redshifts, and precision CO-dynamics-based SMBH mass measurements. We also discuss the importance of the next-generation Low-band Observatory (ngLOBO), a commensal low-frequency enhancement to the main ngVLA design, to maximize the utility of the ngVLA for AGN science.
Coverage
American Astronomical Society Meeting Abstracts #233
Volume
233
Start page
361.22
Conferenece
233rd American Astronomical Society meeting
Conferenece place
Seattle, Washington
Conferenece date
6–10 January, 2019
File(s)
Loading...
Thumbnail Image
Name

361.22.pdf

Description
Abstract
Size

104.76 KB

Format

Adobe PDF

Checksum (MD5)

16b65b53d23036edcb70202597461c54