Graph-Theoretical Approach for Quantifying the Large-Scale Structure of the Universe

Astronomy and Astrophysics – Astronomy

Scientific paper

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Cosmology, Galaxies: Clustering, Gravity, Methods: Numerical, Statistical

Scientific paper

We propose a graph-theoretical approach for quantifying the galaxy distributions in the universe. In order to examine the validity of this approach, we construct graphs based on our cosmological N-body simulations with scale-free power-law spectra, and apply graph theory to them. First we construct a constellation graph from our simulations, which is one of the most basic graphs. We then calculate the distribution function of the edge-length, order, degree, and the eigenvalue of the adjacency matrix of the constellation graph. From our analysis we find that the eigenvalue of the adjacency matrix is a good statistical measure for quantifying the galaxy distributions in a clear manner. For supplementary purposes we also construct a separated minimal spanning tree and a group graph, and examine the usefulness of the graph-theoretical approach.

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