MULTI-SCALE MORPHOLOGICAL ANALYSIS OF SDSS DR5 SURVEY USING THE METRIC SPACE TECHNIQUE

作者：Wu Yongfeng^*; Batuski David J; Khalil Andre

来源：Astrophysical Journal, 2009, 707(2): 1160-1167.

DOI：10.1088/0004-637X/707/2/1160

• large-scale structure of universe
• methods: statistical
• techniques: image processing

Following the 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.