Investigating The Core Morphology--seyfert Class Relationship Using Archival Hubble Space Telescope Images Of Local Seyfert Galaxies

Details Investigating The Core Morphology--seyfert Class Relationship Using Archival Hubble Space Telescope Images Of Local Seyfert Galaxies Investigating The Core Morphology--seyfert Class Relationship Using Archival Hubble Space Telescope Images Of Local Seyfert Galaxies

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21943507w&link_type=abstract

American Astronomical Society, AAS Meeting #219, #435.07

Astronomy and Astrophysics

Astronomy

Scientific paper

The Unified Model of Active Galactic Nuclei (AGN) has provided a remarkably successful explanation for the diversity of AGN in both the local and the distant Universe. Recently, the analysis of multi-wavelength spectral and imaging data has found evidence that the Unification Model may be only a partial theory of AGN, requiring a modification to accommodate the full observed diversity of AGN in the local Universe.
For example, high spatial resolution ground- and space-based observations of local Seyfert galaxies has determined that the Seyfert class of the AGN and the central (r<=1 kpc) host galaxy morphology are not randomly associated.
Specifically, of galaxies which host AGN, those with dustier ``later-type''
cores are found to be more often associated with Type 2 Seyfert galaxies. In contrast, Type 1 Seyfert host galaxies are more often identified with ``early-type'' galaxy cores. At present, this relationship has only been established by visual inspection and classification of the core morphologies of local Seyfert host galaxies.
In this project, we first re-examine this trend visually. Next, we attempt to re-establish the core morphology-Seyfert class relationship using an automated, parametric approach which combines both existing classification schemes and a novel method which uses the SExtractor software for object detection. We discuss to what extent one can establish or confirm this relationship using this new approach.
This research was supported by NASA ADAP grant NNX10AD77G.

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