Multi-Scale Morphological Analysis of SDSS DR5 Survey using the Metric Space Technique

Abstract

Following novel development and adaptation of the Metric Space Technique (MST), a multi-scale morphological analysis of the Sloan Digital Sky Survey (SDSS) Data Release 5 (DR5) was performed. The technique was adapted to perform a space-scale morphological analysis by filtering the galaxy point distributions with a smoothing Gaussian function, thus giving quantitative structural information on all size scales between 5 and 250 Mpc. The analysis was performed on a dozen slices of a volume of space containing many newly measured galaxies from the SDSS DR5 survey. Using the MST, observational data were compared to galaxy samples taken from N-body simulations with current best estimates of cosmological parameters and from random catalogs. By using the maximal ranking method among MST output functions we also develop a way to quantify the overall similarity of the observed samples with the simulated samples.

References in corpus (4)

• The Fifth Data Release of the Sloan Digital Sky Survey
• Percolation Galaxy Groups and Clusters in the SDSS Redshift Survey: Identification, Catalogs, and the Multiplicity Function
• Simulation techniques for cosmological simulations
• Multi-scale morphology of the galaxy distribution

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• Caught in the cosmic web: Environmental effect on halo concentrations, shape, and spin
• Disentangling correlated scatter in cluster mass measurements
• The geometry of the filamentary environment of galaxy clusters
• Lagrangian Volume Deformations around Simulated Galaxies
• Three-Dimensional Filamentation Analysis of SDSS DR5 Survey