The active and passive populations of Extremely Red Objects
Fabio Fontanot (1,2), Pierluigi Monaco (3,1) ((1) INAF-Osservatorio, Astronomico di Trieste; (2) Max-Planck-Institute fuer Astronomie, Heidelberg;, (3) Dipartimento di Astronomia, Universita' di Trieste)

TL;DR
This study uses advanced galaxy models to reproduce and analyze the properties of Extremely Red Objects, revealing the significant impact of TP-AGB stars and predicting observational strategies to better understand their star formation activity.
Contribution
The paper demonstrates that incorporating TP-AGB stars in galaxy spectra models significantly increases the predicted number of red active galaxies and provides detailed predictions for future IR observations.
Findings
Model accurately reproduces number counts and redshift distributions of EROs.
Including TP-AGB stars increases the number of red active objects.
Deep Far-IR observations are crucial for constraining star formation rates.
Abstract
[abridged] The properties of galaxies with the reddest observed R-K colors (Extremely Red Objects, EROs), including their apparent division into passive and obscured active objects with roughly similar number densities, are a known challenge for models of galaxy formation. We produce mock catalogues generated by interfacing the predictions of the semi-analytical MORGANA model for the evolution of galaxies in a Lambda-CDM cosmology with the spectro-photometric + radiative transfer code GRASIL and Infrared (IR) template library to show that the model correctly reproduces number counts, redshift distributions and active fractions of R-K>5 sources. We test the robustness of our results against different dust attenuations and, most importantly, against the inclusion of TP-AGB stars in Simple Stellar Populations used to generate galaxy spectra, and find that the inclusion of TP-AGBs has a…
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