How to Feed AGN: The NUGA View

Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Galactic Nuclei, Seyfert Galaxies, Optical Images, Infrared Imaging, Galactic Nuclei, Circumnuclear Matter, And Bulges, Active And Peculiar Galaxies And Related Systems

Scientific paper

NUGA is a high-resolution (0.5''-1'') CO survey of low luminosity AGN (LLAGN) including the full sequence of activity types (Seyferts, LINERs and transition objects). This project aims at systematically studying the different mechanisms for gas fueling of AGNs in the Local Universe. We discuss the latest results of this recently completed survey. Information on the stellar potentials in NUGA targets is obtained from available HST and ground-based optical/NIR images. This multi-wavelength strategy allows us to test the efficiency of AGN feeding mechanisms by a direct determination of the stellar gravitational torques exerted on the gas. We discuss results obtained in 4 case studies for NUGA, which allow us to track down the feeding history along the Transition/LINER/Seyfert sequence: NGC 4321 (HII/transition object), NGC 4579 (L1.9/S1.9), NGC 4826 (transition object) and NGC 6951 (S2), We derive the general implications of these results for the current understanding of AGN feeding in the Local Universe.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

How to Feed AGN: The NUGA View does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with How to Feed AGN: The NUGA View, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and How to Feed AGN: The NUGA View will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1345064

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.