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.
Cite
@article{arxiv.0812.0398,
title = {Multi-Scale Morphological Analysis of SDSS DR5 Survey using the Metric Space Technique},
author = {Yongfeng Wu and David J. Batuski and Andre Khalil},
journal= {arXiv preprint arXiv:0812.0398},
year = {2009}
}