Network Methods Of Centering For The Maxbcg Clusters

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Scientific paper

To probe the structure of MaxBCG galaxy clusters from the Sloan Digital Sky Survey, we take inspiration from the fields of network and graph theory where objects called nodes are connected by links that contain information about their interaction. Thus we can create a network of member galaxy nodes for each galaxy cluster. Within this network we are able to link each node to every other, weighting the links with a metric that relates to the gravitational potential of the interaction. We can characterize the degree distributions of the galaxy networks and use high node degree as an indicator of centrality. In this project we look at the effectiveness of these methods and comparisons to other centering methods applied to the MaxBCG sample. The research is funded in part by the Michigan Space Grant Consortium.

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