A multi-scale morphological analysis of the Sloan Digital Sky Survey (SDSS) Data Release 5 (DR5) was performed. We adapted the Metric Space 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.
Book Details: |
|
ISBN-13: |
978-3-8454-1108-8 |
ISBN-10: |
3845411082 |
EAN: |
9783845411088 |
Book language: |
English |
By (author) : |
Yongfeng Wu |
Number of pages: |
120 |
Published on: |
2011-07-13 |
Category: |
Physics, astronomy |