Reconstructing Orbits of Galaxies in Extreme Regions (ROGER) II: reliability of projected phase-space in our understanding of galaxy populations
Valeria Coenda, Mart\'in de los Rios, Hern\'an Muriel, Sof\'ia A., Cora, H\'ector J. Mart\'inez, Andr\'es N. Ruiz, Cristian A., Vega-Mart\'inez

TL;DR
This study assesses how well projected phase-space analysis can classify galaxy populations in clusters by comparing 2D projected data with 3D orbital classifications using simulations and semi-analytic models.
Contribution
It demonstrates the reliability and limitations of projected phase-space methods in identifying galaxy populations, highlighting the importance of red/blue separation for accurate classification.
Findings
Red galaxy populations in 2D match 3D predictions well.
Blue galaxy classifications in 2D are reliable mainly for recent infallers.
Contamination between classes affects the accuracy of 2D classifications.
Abstract
We connect galaxy properties with their orbital classification by analysing a sample of galaxies with stellar mass residing in and around massive and isolated galaxy clusters with mass at redshift . The galaxy population is generated by applying the semi-analytic model of galaxy formation SAG on the cosmological simulation MultiDark Planck 2. We classify galaxies considering their real orbits (3D) and their projected phase-space position using the ROGER code (2D). We define five categories: cluster galaxies, galaxies that have recently fallen into a cluster, backsplash galaxies, infalling galaxies, and interloper galaxies. For each class, we analyse the colour, the specific star formation rate (sSFR), and the stellar age, as a function of the stellar mass. For the 3D classes, we find that cluster galaxies…
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