/GMM_Catalogue

Catalogue with probabilistic classification of galaxies based on their ionization source

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

A probabilistic approach to emission-line galaxy classification

arxiv

R. S. de Souza, M. L. L. Dantas, M. V. Costa-Duarte, E. D. Feigelson, M. Killedar, P.-Y. Lablanche, R. Vilalta, A. Krone-Martins, R. Beck, F. Gieseke

This is one of the products of the third edition of the COIN Residence Program, which took place in August/2016 in Budapest (Hungary).

The catalogue is given bellow. Check the individual folders for detailed information on the files presented here.

GMM Catalogue

Catalogue with probabilistic classification of galaxies based on their ionization source using Gaussian Mixture Models

This catalogue was designed to provide soft/probabilistic classifications for galaxies based on their ionization source. The data consists of a combination of the BPT and WHAN diagrams.

The probabilistic classification of galaxies via GMM is constructed using data from the SDSS DR7 and the SEAGal/STARLIGHT catalogues is available at Catalogue.

Short tutorial for the use of GMM in Python

Created by Pierre-Yves Lablanche and Madura Killedar and available at GMM Python tutorial