ROGER: Automatic classification of galaxies using phase-space information
Abstract
ROGER (Reconstructing Orbits of Galaxies in Extreme Regions) predicts the dynamical properties of galaxies using the projected phase-space information. Written in R, it offers a choice of machine learning methods to classify the dynamical properties of galaxies. An interface for online use of the software is available at https://mdelosrios.shinyapps.io/roger_shiny/.
- Publication:
-
Astrophysics Source Code Library
- Pub Date:
- October 2020
- Bibcode:
- 2020ascl.soft10011D
- Keywords:
-
- Software