Projects per year
Abstract
A wide range of mechanisms have been put forward to explain the quenching of star formation in galaxies with cosmic time, however, the true balance of responsible mechanisms remains unknown. The identification and study of galaxies that have shut down their star formation on different timescales might elucidate which mechanisms dominate at different epochs and masses. Here we study the population of rapidly quenched galaxies (RQGs) in the SIMBA cosmological hydrodynamic simulation at 0.5<z<2, comparing directly to observational post-starburst galaxies in the UKIDSS Ultra Deep Survey via their colour distributions and mass functions. We find that the fraction of quiescent galaxies that are rapidly quenched in SIMBA is 59% (or 48% in terms of stellarmass), which is higher than observed. A similar "downsizing" of RQGs is observed in both SIMBA and the UDS, with RQGs at higher redshift having a higher average mass. However, SIMBA produces too many RQGs at 1<zq<1.5 and too few low mass RQGs at 0.5<zq<1. The precise colour distribution of SIMBA galaxies compared to the observations also indicates various inconsistencies in star formation and chemical enrichment histories, including an absence of short, intense starbursts. Our results will help inform the next generation of galaxy evolution models, particularly with respect to the quenching mechanisms employed.
Original language | English |
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Pages (from-to) | 27–41 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 513 |
Issue number | 1 |
Early online date | 5 Apr 2022 |
DOIs | |
Publication status | Published - Jun 2022 |
Keywords
- Galaxies: evolution
- Galaxies: formation
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Dive into the research topics of 'Rapidly quenched galaxies in the Simba cosmological simulation and observations'. Together they form a unique fingerprint.Projects
- 1 Finished
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AO6 - Dr Vivienne Wild: Project AO6 - Vivienne Wild
Wild, V. (PI)
Science & Technology Facilities Council
1/04/21 → 31/03/24
Project: Standard
Datasets
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Underpinning data of the paper "RQGs in the Simba simulation and observations"
Zheng, Y. (Creator), Wild, V. (Supervisor), Dave, R. (Creator) & Rodriguez Montero, F. (Creator), University of St Andrews, 17 Nov 2021
DOI: 10.17630/3d5bbf39-fe0a-4997-987c-d2407f791118
Dataset
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