2-D and 3-D multi-scale morphological analysis of SDSS DR5 survey using the Metric Space Technique | Posted on:2011-02-17 | Degree:Ph.D | Type:Dissertation | University:The University of Maine | Candidate:Wu, Yongfeng | Full Text:PDF | GTID:1448390002468971 | Subject:Physics | Abstract/Summary: | | 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. We adapted the technique to perform a space-scale morphological analysis by filtering the galaxy point distributions with a smoothing Gaussian function, thus giving quantitative structural information on a range of scale sizes. The analysis was performed on 2-D (a dozen slices of a volume of space containing many newly measured galaxies from the SDSS DR5 survey) and 3-D data. Using the MST, observational data was 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 developed a way to quantify the overall similarity of the observed samples with the simulated samples. MST does uncover some new multi-scale morphological properties and appears to be a good tool to measure those properties by clearly distinguishing the samples. | Keywords/Search Tags: | Multi-scale morphological, SDSS, DR5, Space, MST, Survey, Using, Samples | | Related items |
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