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[ascl:2010.011] ROGER: Automatic classification of galaxies using phase-space information

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/.

Code site:
https://github.com/Martindelosrios/ROGER
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv201011959D
Bibcode:
2020ascl.soft10011D

Views: 135

ascl:2010.011
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