Using Networking Algorithms to Assess the Environment of Galaxy Groups

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

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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