2020
DOI: 10.48550/arxiv.2012.08593
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Too dense to go through: The importance of low-mass clusters for satellite quenching

Diego Pallero,
Facundo A. Gómez,
Nelson D. Padilla
et al.

Abstract: We study the evolution of satellite galaxies in clusters of the C-EAGLE simulations, a suite of 30 high-resolution cosmological hydrodynamical zoom-in simulations based on the EAGLE code. We find that the majority of galaxies that are quenched at z = 0 ( 80%) reached this state in a dense environment (log 10 M 200 [M ]≥13.5). At low redshift, regardless of the final cluster mass, galaxies appear to reach their quenching state in low mass clusters. Moreover, galaxies quenched inside the cluster that they reside… Show more

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Cited by 8 publications
(12 citation statements)
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References 52 publications
(67 reference statements)
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“…Finally, we note that simulations are also increasingly demonstrating the importance of groups for the evolution of cluster satellites: around 50% of all z = 0 satellites in massive clusters of the TNG300 simulation were quenched in a group before being accreted onto their final host (Donnari et al, 2021); Pallero et al (2020) came to a similar conclusion with the Hydrangea/C-EAGLE simulations. Similarly, Jung et al (2018) found that almost half of all M 10 9 M galaxies accreted onto clusters as (group) satellites are already gas poor at the time of cluster infall, compared to only 6% of central galaxies.…”
Section: Satellite Galaxies In Groupsmentioning
confidence: 53%
“…Finally, we note that simulations are also increasingly demonstrating the importance of groups for the evolution of cluster satellites: around 50% of all z = 0 satellites in massive clusters of the TNG300 simulation were quenched in a group before being accreted onto their final host (Donnari et al, 2021); Pallero et al (2020) came to a similar conclusion with the Hydrangea/C-EAGLE simulations. Similarly, Jung et al (2018) found that almost half of all M 10 9 M galaxies accreted onto clusters as (group) satellites are already gas poor at the time of cluster infall, compared to only 6% of central galaxies.…”
Section: Satellite Galaxies In Groupsmentioning
confidence: 53%
“…The different perturbing mechanisms affecting galaxies in high density environments act on different timescales for the gas removal, and thus have different effects on the star formation activity of the perturbed objects. The typical timescale for RPS to be efficient has been derived using semi-analytical models and full or zoomed-in hydrodynamic cosmological simulations of rich clusters of galaxies (Abadi et al 1999;Balogh et al 2000;Quilis et al 2000;Mori & Burkert 2000;Schulz & Struck 2001;Marcolini et al 2003;Tonnesen et al 2007;Roediger & Brüggen 2007;Marasco et al 2016;Trayford et al 2016;Lotz et al 2019;Pallero et al 2020) or tuned simulations of selected objects with multifrequency data consistently indicating that they are undergoing a stripping event (Vollmer 2003;Vollmer & Huchtmeier 2003;Vollmer et al 2004Vollmer et al , 2005bVollmer et al , 2006Vollmer et al , 2008aVollmer et al ,b, 2009Vollmer et al , 2012Vollmer et al , 2021Boselli et al 2021). 3-D hydrodynamic simulations suggest that a large fraction of the total gas reservoir (Abadi et al 1999;Quilis et al 2000;Schulz & Struck 2001;Tonnesen et al 2007;Roediger & Brüggen 2007;Lotz et al 2019) can be efficiently stripped on relatively short timescales compared to the typical crossing time within a cluster (∼ 2 Gyr; see however Bahé & McCarthy (2015)).…”
Section: Timescales For Stripping and Quenchingmentioning
confidence: 99%
“…Groups are an important regime for studies of environmental quenching since the majority of galaxies in the local Universe reside in galaxy groups, and previous works have shown that star formation quenching in groups prior to accretion onto galaxy clusters (known as 'pre-processing') may account for a substantial portion of the cluster red sequence (e.g. Fujita 2004;McGee et al 2009;von der Linden et al 2010;Haines et al 2015;Roberts & Parker 2017;Pallero et al 2020). There are ∼10 times more galaxies in groups than clusters at low-z (e.g.…”
Section: Prospects For Automated Selection Of Lotss Jellyfish Galaxiesmentioning
confidence: 99%