2019
DOI: 10.3847/1538-4357/ab3b03
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The Roles of Mass and Environment in the Quenching of Galaxies

Abstract: We study the roles of stellar mass and environment in quenching the star formation activity of a large set of simulated galaxies by taking advantage of an analytic model coupled to the merger tree extracted from an N-body simulation. The analytic model has been set to match the evolution of the global stellar mass function since redshift z ∼ 2.3 and give reasonable predictions of the star formation history of galaxies at the same time. We find that stellar mass and environment play different roles: the star fo… Show more

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Cited by 14 publications
(12 citation statements)
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References 83 publications
(136 reference statements)
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“…For instance, for what concerns the environmental quenching, when we look at the dependence of the SFR or SSFR on the environment since redshift z ∼ 1 (when the environment is believed to play a remarkable role), we find no dependence (see, e.g. Muzzin et al 2012;Laganá & Ulmer 2018;Contini et al 2019b, and references therein for many other works supporting it), which either means that the environment does not play an important role or it acts so fast such that it does not influence the star formation of active galaxies but increases the fraction of quiescent galaxies. Many other studies (e.g., van den Bosch et al 2008;Quadri et al 2012;Omand et al 2014;Balogh et al 2016;Nantais et al 2016;Darvish et al 2016;Fossati et al 2017;Jian et al 2017;Kawinwanichakij et al 2017;van der Burg et al 2018;Papovich et al 2018;Pintos-Castro et al 2019), which have looked at the efficiencies of the environmental and mass quenching, have been able to quantify the two quenching modes, albeit with different results in terms of mutual dependence among the two modes, redshift, stellar mass and halo mass dependence.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…For instance, for what concerns the environmental quenching, when we look at the dependence of the SFR or SSFR on the environment since redshift z ∼ 1 (when the environment is believed to play a remarkable role), we find no dependence (see, e.g. Muzzin et al 2012;Laganá & Ulmer 2018;Contini et al 2019b, and references therein for many other works supporting it), which either means that the environment does not play an important role or it acts so fast such that it does not influence the star formation of active galaxies but increases the fraction of quiescent galaxies. Many other studies (e.g., van den Bosch et al 2008;Quadri et al 2012;Omand et al 2014;Balogh et al 2016;Nantais et al 2016;Darvish et al 2016;Fossati et al 2017;Jian et al 2017;Kawinwanichakij et al 2017;van der Burg et al 2018;Papovich et al 2018;Pintos-Castro et al 2019), which have looked at the efficiencies of the environmental and mass quenching, have been able to quantify the two quenching modes, albeit with different results in terms of mutual dependence among the two modes, redshift, stellar mass and halo mass dependence.…”
Section: Introductionmentioning
confidence: 95%
“…In Contini et al (2019b) (hereafter PapI) we took advantage of an analytic model of galaxy formation that was tuned to match the observed evolution of the stellar mass function from redshift z ∼ 2.3 down to the present time and give a reasonable prediction of the evolution of the SFR-M * relation in the same redshift range, to investigate galaxy quenching by looking at the SFR and SSFR of star forming and quiescent galaxies as a function of both stellar mass and environment. Our goal was mainly to understand the roles of environmental and mass quenching at different redshifts.…”
Section: Introductionmentioning
confidence: 99%
“…Cosmological simulations are a powerful tool that allows us to disentangle the effects associated with the different processes that are typically coupled in a non-linear fashion. In the last years, analytic models (Fujita 2004;Mok et al 2014;Contini et al 2020), semi-analytic (De Lucia et al 2012;Wetzel et al 2013;Henriques et al 2017;Stevens & Brown 2017;Cora et al 2018;Contini et al 2019) and hydrodynamical simulations (e.g. Bahé et al 2013;Bahé & McCarthy 2015;Taylor et al 2017;Wright et al 2019;Pallero et al 2019;Donnari et al 2020) have allowed us to explore the relative importance of the different mechanisms that bring a galaxy to a final quenched state.…”
Section: Introductionmentioning
confidence: 99%
“…Cosmological simulations are a powerful tool that allows us to disentangle the effects associated with the different processes that are typically coupled in a non-linear fashion. In the last years, analytic models (Fujita 2004;Mok et al 2014;Contini et al 2020), semi-analytic (De Lucia et al 2012;Wetzel et al 2013;Henriques et al 2017;Stevens & Brown 2017;Cora et al 2018;Contini et al 2019) and hydrodynamical simulations (e.g. Bahé et al 2013;Bahé & McCarthy 2015;Taylor et al 2017;Wright et al 2019;Pallero et al 2019;Donnari et al 2020) have allowed us to explore the relative importance of the different mechanisms that bring a galaxy to a final quenched state.…”
mentioning
confidence: 99%