Determining the Inclinations of AGN using Narrow-Line Region Kinematics

Other

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We will determine the inclinations of the AGN in 36 Seyfert galaxies with STIS G430M and/or G430L long-slit spectra, by measuring radial velocities as a function of position in their narrow-line regions NLRs and generating kinematic models to match the observed radial velocities. Our previous studies of three Seyfert galaxies with STIS show that the kinematics of their NLRs are dominated by radial outflow, and that simple biconical outflow models can be used to derive the inclination of the bicone axis, and hence the obscuring torus, with respect to our line of sight. The inclinations will be compared with those from other techniques water masers, broad Fe K-alpha profiles to test for discrepancies and identify possible misalignments between the accretion disk, torus, and/or host galaxy. More importantly, our results will provide the foundation for future studies that investigate the dependence of observed properties e.g., SEDs, absorbing columns, broad-line widths on inclination, which is vital for understanding the physics of AGN.;

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

Determining the Inclinations of AGN using Narrow-Line Region Kinematics 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 Determining the Inclinations of AGN using Narrow-Line Region Kinematics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Determining the Inclinations of AGN using Narrow-Line Region Kinematics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-780946

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