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Galaxy Quenching with Mass Growth History of Galaxy Groups and Clusters: The Importance of Post-Processing
Astrophysics of Galaxies · Submitted 11 Jul 2023
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Simulations show that most satellites are quenched after they fall into their final hosts: post-processing is a more dominant mechanism of galaxy quenching than pre-processing.
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The abstract, sentence by sentence
We investigate the fraction of quenched satellite galaxies in host galaxy groups and clusters using TNG300 in the IllustrisTNG cosmological magnetohydrodynamical simulations. Simulations show that most satellites are quenched after they fall into their final hosts: post-processing is a more dominant mechanism of galaxy quenching than pre-processing. We find the fraction of quenched satellites at $z=0$ increases with host mass, which implies that more massive hosts have higher quenching efficiency because more massive hosts have more massive groups infalling. Furthermore, we find that hosts that have many early-infall satellites show a higher fraction of quenched satellites at $z=0$ than those having many late-infall satellites, which results in a scatter of the quenched fraction of satellites in a given mass range of hosts at $z=0$. Our results highlight the significance of the mass of hosts and the different infall times of satellites in understanding galaxy quenching.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We investigate the fraction of quenched satellite galaxies in host galaxy groups and clusters using TNG300 in the IllustrisTNG cosmological magnetohydrodynamical simulations. | contribution 0.74 | 0.89 | 0.03 | asserted 0.72 |
| s1 | Simulations show that most satellites are quenched after they fall into their final hosts: post-processing is a more dominant mechanism of galaxy quenching than pre-processing. | result 0.96 | 0.67 | 0.83 | asserted 1.00 |
| s2 | We find the fraction of quenched satellites at $z=0$ increases with host mass, which implies that more massive hosts have higher quenching efficiency because more massive hosts have more massive groups infalling. | result 0.74 | 0.96 | 0.12 | asserted 0.99 |
| s3 | Furthermore, we find that hosts that have many early-infall satellites show a higher fraction of quenched satellites at $z=0$ than those having many late-infall satellites, which results in a scatter of the quenched fraction of satellites in a given mass range of hosts at $z=0$. | result 0.98 | 0.96 | 0.08 | asserted 1.00 |
| s4 | Our results highlight the significance of the mass of hosts and the different infall times of satellites in understanding galaxy quenching. | interpretation 0.98 | 0.73 | 0.41 | asserted 1.00 |
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The paper
Original abstract
We investigate the fraction of quenched satellite galaxies in host galaxy groups and clusters using TNG300 in the IllustrisTNG cosmological magnetohydrodynamical simulations. Simulations show that most satellites are quenched after they fall into their final hosts: post-processing is a more dominant mechanism of galaxy quenching than pre-processing. We find the fraction of quenched satellites at $z=0$ increases with host mass, which implies that more massive hosts have higher quenching efficiency because more massive hosts have more massive groups infalling. Furthermore, we find that hosts that have many early-infall satellites show a higher fraction of quenched satellites at $z=0$ than those having many late-infall satellites, which results in a scatter of the quenched fraction of satellites in a given mass range of hosts at $z=0$. Our results highlight the significance of the mass of hosts and the different infall times of satellites in understanding galaxy quenching.
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Various simulations and observations have been used to study the quenching mechanism of galaxies [ref] , but the relative amount of pre- and post-processings for galaxy quenching is still under discussion.
Constraining quenching timescales in galaxy clusters by forward-modelling stellar ages and quiescent fractions in projected phase space · Introduction · 0.94
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