Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models

<jats:title>ABSTRACT</jats:title> <jats:p>Submillimetre galaxies (SMGs) have long posed a challenge for theorists, and self-consistently reproducing the properties of the SMG population in a large-volume cosmological hydrodynamical simulation has not yet been achiev...

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Main Authors: Hayward, Christopher C, Sparre, Martin, Chapman, Scott C, Hernquist, Lars, Nelson, Dylan, Pakmor, Rüdiger, Pillepich, Annalisa, Springel, Volker, Torrey, Paul, Vogelsberger, Mark, Weinberger, Rainer
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: Oxford University Press (OUP) 2022
Online Access:https://hdl.handle.net/1721.1/142389
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author Hayward, Christopher C
Sparre, Martin
Chapman, Scott C
Hernquist, Lars
Nelson, Dylan
Pakmor, Rüdiger
Pillepich, Annalisa
Springel, Volker
Torrey, Paul
Vogelsberger, Mark
Weinberger, Rainer
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Hayward, Christopher C
Sparre, Martin
Chapman, Scott C
Hernquist, Lars
Nelson, Dylan
Pakmor, Rüdiger
Pillepich, Annalisa
Springel, Volker
Torrey, Paul
Vogelsberger, Mark
Weinberger, Rainer
author_sort Hayward, Christopher C
collection MIT
description <jats:title>ABSTRACT</jats:title> <jats:p>Submillimetre galaxies (SMGs) have long posed a challenge for theorists, and self-consistently reproducing the properties of the SMG population in a large-volume cosmological hydrodynamical simulation has not yet been achieved. We use a scaling relation derived from previous simulations plus radiative transfer calculations to predict the submm flux densities of simulated SMGs drawn from cosmological simulations from the Illustris and IllustrisTNG projects based on the simulated galaxies’ star formation rates (SFRs) and dust masses, and compare the predicted number counts with observations. We find that the predicted SMG number counts based on IllustrisTNG are significantly less than observed (more than 1 dex at S850 ≳ 4 mJy). The simulation from the original Illustris project yields more SMGs than IllustrisTNG: the predicted counts are consistent with those observed at both S850 ≲ 5 mJy and S850 ≳ 9 mJy and only a factor of ∼2 lower than those observed at intermediate flux densities. The redshift distribution of SMGs with S850 &amp;gt; 3 mJy in IllustrisTNG is consistent with the observed distribution, whereas the Illustris redshift distribution peaks at significantly lower redshift (1.5 versus 2.8). We demonstrate that IllustrisTNG hosts fewer SMGs than Illustris because in the former, high-mass ($M_{\star }\sim 10^{11} \, \text{M}_{\odot }$) z ∼ 2–3 galaxies have lower dust masses and SFRs than in Illustris owing to differences in the subgrid models for stellar and/or active galactic nucleus feedback between the two simulations (we unfortunately cannot isolate the specific cause(s) post hoc). Our results demonstrate that because our method enables predicting SMG number counts in post-processing with a negligible computational expense, SMGs can provide useful constraints for tuning subgrid models in future large-volume cosmological simulations.</jats:p>
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spelling mit-1721.1/1423892023-03-29T20:08:39Z Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models Hayward, Christopher C Sparre, Martin Chapman, Scott C Hernquist, Lars Nelson, Dylan Pakmor, Rüdiger Pillepich, Annalisa Springel, Volker Torrey, Paul Vogelsberger, Mark Weinberger, Rainer Massachusetts Institute of Technology. Department of Physics MIT Kavli Institute for Astrophysics and Space Research <jats:title>ABSTRACT</jats:title> <jats:p>Submillimetre galaxies (SMGs) have long posed a challenge for theorists, and self-consistently reproducing the properties of the SMG population in a large-volume cosmological hydrodynamical simulation has not yet been achieved. We use a scaling relation derived from previous simulations plus radiative transfer calculations to predict the submm flux densities of simulated SMGs drawn from cosmological simulations from the Illustris and IllustrisTNG projects based on the simulated galaxies’ star formation rates (SFRs) and dust masses, and compare the predicted number counts with observations. We find that the predicted SMG number counts based on IllustrisTNG are significantly less than observed (more than 1 dex at S850 ≳ 4 mJy). The simulation from the original Illustris project yields more SMGs than IllustrisTNG: the predicted counts are consistent with those observed at both S850 ≲ 5 mJy and S850 ≳ 9 mJy and only a factor of ∼2 lower than those observed at intermediate flux densities. The redshift distribution of SMGs with S850 &amp;gt; 3 mJy in IllustrisTNG is consistent with the observed distribution, whereas the Illustris redshift distribution peaks at significantly lower redshift (1.5 versus 2.8). We demonstrate that IllustrisTNG hosts fewer SMGs than Illustris because in the former, high-mass ($M_{\star }\sim 10^{11} \, \text{M}_{\odot }$) z ∼ 2–3 galaxies have lower dust masses and SFRs than in Illustris owing to differences in the subgrid models for stellar and/or active galactic nucleus feedback between the two simulations (we unfortunately cannot isolate the specific cause(s) post hoc). Our results demonstrate that because our method enables predicting SMG number counts in post-processing with a negligible computational expense, SMGs can provide useful constraints for tuning subgrid models in future large-volume cosmological simulations.</jats:p> 2022-05-06T15:16:02Z 2022-05-06T15:16:02Z 2021 2022-05-06T15:08:26Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142389 Hayward, Christopher C, Sparre, Martin, Chapman, Scott C, Hernquist, Lars, Nelson, Dylan et al. 2021. "Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models." Monthly Notices of the Royal Astronomical Society, 502 (2). en 10.1093/MNRAS/STAB246 Monthly Notices of the Royal Astronomical Society Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Oxford University Press (OUP) arXiv
spellingShingle Hayward, Christopher C
Sparre, Martin
Chapman, Scott C
Hernquist, Lars
Nelson, Dylan
Pakmor, Rüdiger
Pillepich, Annalisa
Springel, Volker
Torrey, Paul
Vogelsberger, Mark
Weinberger, Rainer
Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title_full Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title_fullStr Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title_full_unstemmed Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title_short Submillimetre galaxies in cosmological hydrodynamical simulations – an opportunity for constraining feedback models
title_sort submillimetre galaxies in cosmological hydrodynamical simulations an opportunity for constraining feedback models
url https://hdl.handle.net/1721.1/142389
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