ROGER: Automatic classification of galaxies using phase-space information

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Ada Coda
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ROGER: Automatic classification of galaxies using phase-space information

Post by Ada Coda » Sun Nov 01, 2020 2:36 am

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/.

Credit: de los Rios, Martín; Julián Martínez, Héctor; Coenda, Valeria; Muriel, Hernán; Nicolás Ruiz, Andrés; Vega-Martínez, Cristian Antonio; Cora, Sofia Alejandra

Site: https://github.com/Martindelosrios/ROGER
https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.1784D

Bibcode: 2020ascl.soft10011D

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.1784D

ID: ascl:2010.011
Last edited by Ada Coda on Tue Jan 26, 2021 6:06 pm, edited 1 time in total.
Reason: Updated code entry.

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