Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations. Lovell, C. C., Geach, J. E., Davé, R., Narayanan, D., & Li, Q. Monthly Notices of the Royal Astronomical Society, 502:772–793, March, 2021. ![Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 2 downloads Matching the number counts of high-z submillimetre-selected galaxies (SMGs) has been a long-standing problem for galaxy formation models. In this paper, we use 3D dust radiative transfer to model the submm emission from galaxies in the SIMBA cosmological hydrodynamic simulations, and compare predictions to the latest single-dish observational constraints on the abundance of 850 μm-selected sources. We find good agreement with the shape of the integrated 850 μm luminosity function, and the normalization is within 0.25 dex at \textgreater3 mJy, unprecedented for a fully cosmological hydrodynamic simulation, along with good agreement in the redshift distribution of bright SMGs. The agreement is driven primarily by SIMBA's good match to infrared measures of the star formation rate (SFR) function between z = 2 and 4 at high SFRs. Also important is the self-consistent on-the-fly dust model in SIMBA, which predicts, on average, higher dust masses (by up to a factor of 2.5) compared to using a fixed dust-to-metals ratio of 0.3. We construct a light-cone to investigate the effect of far-field blending, and find that 52 per cent of sources are blends of multiple components, which makes a small contribution to the normalization of the bright end of the number counts. We provide new fits to the 850 μm luminosity as a function of SFR and dust mass. Our results demonstrate that solutions to the discrepancy between submm counts in simulations and observations, such as a top-heavy initial mass function, are unnecessary, and that submillimetre-bright phases are a natural consequence of massive galaxy evolution.
@article{lovell_reproducing_2021,
title = {Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations},
volume = {502},
issn = {0035-8711},
url = {http://adsabs.harvard.edu/abs/2021MNRAS.502..772L},
doi = {10.1093/mnras/staa4043},
abstract = {Matching the number counts of high-z submillimetre-selected galaxies
(SMGs) has been a long-standing problem for galaxy formation models. In
this paper, we use 3D dust radiative transfer to model the submm
emission from galaxies in the SIMBA cosmological hydrodynamic
simulations, and compare predictions to the latest single-dish
observational constraints on the abundance of 850 μm-selected
sources. We find good agreement with the shape of the integrated 850
μm luminosity function, and the normalization is within 0.25 dex at
{\textgreater}3 mJy, unprecedented for a fully cosmological hydrodynamic
simulation, along with good agreement in the redshift distribution of
bright SMGs. The agreement is driven primarily by SIMBA's good match to
infrared measures of the star formation rate (SFR) function between z =
2 and 4 at high SFRs. Also important is the self-consistent on-the-fly
dust model in SIMBA, which predicts, on average, higher dust masses (by
up to a factor of 2.5) compared to using a fixed dust-to-metals ratio of
0.3. We construct a light-cone to investigate the effect of far-field
blending, and find that 52 per cent of sources are blends of multiple
components, which makes a small contribution to the normalization of the
bright end of the number counts. We provide new fits to the 850 μm
luminosity as a function of SFR and dust mass. Our results demonstrate
that solutions to the discrepancy between submm counts in simulations
and observations, such as a top-heavy initial mass function, are
unnecessary, and that submillimetre-bright phases are a natural
consequence of massive galaxy evolution.},
urldate = {2021-03-19},
journal = {Monthly Notices of the Royal Astronomical Society},
author = {Lovell, Christopher C. and Geach, James E. and Davé, Romeel and Narayanan, Desika and Li, Qi},
month = mar,
year = {2021},
keywords = {Astrophysics - Astrophysics of Galaxies, galaxies: abundances, galaxies: active, galaxies: evolution, galaxies: formation, galaxies: high-redshift},
pages = {772--793},
}
Downloads: 2
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We find good agreement with the shape of the integrated 850 μm luminosity function, and the normalization is within 0.25 dex at \\textgreater3 mJy, unprecedented for a fully cosmological hydrodynamic simulation, along with good agreement in the redshift distribution of bright SMGs. The agreement is driven primarily by SIMBA's good match to infrared measures of the star formation rate (SFR) function between z = 2 and 4 at high SFRs. Also important is the self-consistent on-the-fly dust model in SIMBA, which predicts, on average, higher dust masses (by up to a factor of 2.5) compared to using a fixed dust-to-metals ratio of 0.3. We construct a light-cone to investigate the effect of far-field blending, and find that 52 per cent of sources are blends of multiple components, which makes a small contribution to the normalization of the bright end of the number counts. We provide new fits to the 850 μm luminosity as a function of SFR and dust mass. 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In\nthis paper, we use 3D dust radiative transfer to model the submm\nemission from galaxies in the SIMBA cosmological hydrodynamic\nsimulations, and compare predictions to the latest single-dish\nobservational constraints on the abundance of 850 μm-selected\nsources. We find good agreement with the shape of the integrated 850\nμm luminosity function, and the normalization is within 0.25 dex at\n{\\textgreater}3 mJy, unprecedented for a fully cosmological hydrodynamic\nsimulation, along with good agreement in the redshift distribution of\nbright SMGs. The agreement is driven primarily by SIMBA's good match to\ninfrared measures of the star formation rate (SFR) function between z =\n2 and 4 at high SFRs. Also important is the self-consistent on-the-fly\ndust model in SIMBA, which predicts, on average, higher dust masses (by\nup to a factor of 2.5) compared to using a fixed dust-to-metals ratio of\n0.3. 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