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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/3288

Title: Hosts and environments of low luminosity active galaxies in the local universe: the care and feeding of weak AGN
Authors: Parejko, John Kenneth
Keywords: Physics;Galaxies -- Clusters;Quasars
Issue Date: 17-Jun-2010
Abstract: The observed relationship between the mass of a galaxy’s supermassive black hole and the galaxy’s bulge mass suggests a relationship between the growth of the galaxy and the growth of its central black hole. When these black holes grow, they release phenomenal amounts of energy into their surroundings, possibly disrupting further growth of the galaxy. The feeding (inflowing matter) and feedback (outflowing energy) of a galaxy’s central black hole may be intimately related to the properties of the host’s environment, on scales many orders of magnitude beyond the black hole’s gravitational influence. While feeding, a massive black hole reveals itself as an Active Galactic Nucleus (AGN), but only a few percent of all galaxies show evidence of an AGN. This thesis focuses on this question: What distinguishes galaxies that are currently hosting actively accreting black holes from those that are not? We use the vast data set provided by the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7) to study the environments of a well defined sample of AGN hosts. To reduce contamination by galaxies that do not harbor actively accreting black holes, we define a clear, unambiguous sample of local AGN. Using this sample, we search for AGN in merging galaxies and measure the 2-point cross-correlation function of AGN and all galaxies to estimate the envrionments of AGN hosts compared to non-AGN hosts. We also describe trends in different subsamples of AGN, including luminosity and classification sub-type. Finally, we show how these techniques may be applied to future data sets such as forthcoming SDSS III data and X-ray data from the eROSITA satellite.
URI: http://hdl.handle.net/1860/3288
Appears in Collections:Drexel Theses and Dissertations

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