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 performa space-scale morphological analysis by filtering the galaxy pointdistributions with a smoothing Gaussian function, thus giving quantitativestructural information on all size scales between 5 and 250 Mpc. The analysiswas performed on a dozen slices of a volume of space containing many newlymeasured galaxies from the SDSS DR5 survey. Using the MST, observational datawere compared to galaxy samples taken from N-body simulations with current bestestimates of cosmological parameters and from random catalogs. By using themaximal ranking method among MST output functions we also develop a way toquantify the overall similarity of the observed samples with the simulatedsamples.
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