Using Networking Algorithms to Assess the Environment of Galaxy Groups

Type Conference Paper
Names Ali Bramson, E. M. Wilcots
Proceedings Title Bulletin of the American Astronomical Society
Conference Name American Astronomical Society, AAS Meeting #217, #149.26
Volume 43
Date January 1, 2011
Library Catalog NASA ADS
Abstract Understanding the environment a galaxy resides in is crucial to our understanding of the galaxy's formation and properties. Most galaxies ( 70%) live in groups and it is important to develop a quantitative understanding of how galaxies are distributed within groups and how groups are distributed in the larger scale structure. In addition to the traditional friends-of-friends algorithms we are applying analytical techniques developed for understanding social networks to understand the network of galaxies in the Abell 1367-Coma supercluster. We use data from the SDSS, 2MASS, and ALFALFA to detect substructure within catalog groups and quantitatively measure the degree to which individual groups are connected as a new method of probing the large scale environments of galaxies and groups.
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