Project

Spatial distribution of galaxies

Goal: Spatial galaxy distribution plays a fundamental role in the formation and evolution of large scale structures. The traditional approach, however, contains basic weakness. Techniques like two-point correlation function and Voronoi foam enable a high degree of freedom. We propose a metric to characterize the spatial distribution of galaxies without depending on the shape or scale of the distribution. We compare the spatial pattern distribution of 1064 galaxies of the Coma Cluster with a synthetic sample of points generated by the Homogeneous Poisson Point Process. With Delaunay Tessellations, we obtain the characteristic distance between the galaxies of Coma cluster. With Voronoi Tessellations, we studied the local distribution of densities of the Coma Cluster.

Date: 29 May 2016

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Spatial galaxy distribution plays a fundamental role in the formation and evolution of large scale structures. The traditional approach, however, contains basic weakness. Techniques like two-point correlation function and Voronoi foam enable a high degree of freedom. We propose a metric to characterize the spatial distribution of galaxies without depending on the shape or scale of the distribution. We compare the spatial pattern distribution of 1064 galaxies of the Coma Cluster with a synthetic sample of points generated by the Homogeneous Poisson Point Process. With Delaunay Tessellations, we obtain the characteristic distance between the galaxies of Coma cluster. With Voronoi Tessellations, we studied the local distribution of densities of the Coma Cluster.
 
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We propose a metric to characterize the spatial distribution of galaxies without depending on the shape or scale of the distribution. We compare the spatial pattern distribution of 1064 galaxies of the Coma Cluster with a synthetic sample of points generated by the Homogeneous Poisson Point Process.