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A fundamental test for stellar feedback recipes in galaxy simulations

Fujimoto, Yusuke; Chevance, Mélanie; Haydon, Daniel T.; Krumholz, Mark; Kruijssen, J. M. Diederik

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Direct comparisons between galaxy simulations and observations that both reach scales ≲100 pc are strong tools to investigate the cloud-scale physics of star formation and feedback in nearby galaxies. Here we carry out such a comparison for hydrodynamical simulations of a Milky Way-like galaxy, including stochastic star formation, HII region and supernova feedback, and chemical post-processing at 8 pc resolution. Our simulation shows excellent agreement with almost all kpc-scale and larger...[Show more]

dc.contributor.authorFujimoto, Yusuke
dc.contributor.authorChevance, Mélanie
dc.contributor.authorHaydon, Daniel T.
dc.contributor.authorKrumholz, Mark
dc.contributor.authorKruijssen, J. M. Diederik
dc.date.accessioned2020-07-15T06:30:48Z
dc.date.available2020-07-15T06:30:48Z
dc.identifier.issn0035-8711
dc.identifier.urihttp://hdl.handle.net/1885/206216
dc.description.abstractDirect comparisons between galaxy simulations and observations that both reach scales ≲100 pc are strong tools to investigate the cloud-scale physics of star formation and feedback in nearby galaxies. Here we carry out such a comparison for hydrodynamical simulations of a Milky Way-like galaxy, including stochastic star formation, HII region and supernova feedback, and chemical post-processing at 8 pc resolution. Our simulation shows excellent agreement with almost all kpc-scale and larger observables, including total star formation rates, radial profiles of CO, H I, and star formation through the galactic disc, mass ratios of the ISM components, both whole galaxy and resolved Kennicutt–Schmidt relations, and giant molecular cloud properties. However, we find that our simulation does not reproduce the observed decorrelation between tracers of gas and star formation on ≲100 pc scales, known as the star formation ‘uncertainty principle’, which indicates that observed clouds undergo rapid evolutionary life cycles. We conclude that the discrepancy is driven by insufficiently strong pre-supernova feedback in our simulation, which does not disperse the surrounding gas completely, leaving star formation tracer emission too strongly associated with molecular gas tracer emission, inconsistent with observations. This result implies that the cloud-scale decorrelation of gas and star formation is a fundamental test for feedback prescriptions in galaxy simulations, one that can fail even in simulations that reproduce all other macroscopic properties of star-forming galaxies.
dc.description.sponsorshipYF and MRK acknowledge support from the Australian Government through the Australian Research Council’s Discovery Projects and Future Fellowships funding schemes (project DP160100695 and FT180100375). DTH is a fellow of the International Max Planck Research School for Astronomy and Cosmic Physics at the University of Heidelberg (IMPRS-HD). MC and JMDK gratefully acknowledge funding from the Deutsche Forschungsgemeinschaft (DFG) through an Emmy Noether Research Group (grant number KR4801/1-1). JMDK gratefully acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme via the ERC Starting Grant MUSTANG (grant agreement number 714907). YF, DTH, MC, MRK, and JMDK acknowledge support from the Australia–Germany Joint Research Cooperation Scheme (UADAAD, grant number 57387355).
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherOxford University Press
dc.rights© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society
dc.sourceMonthly Notices of the Royal Astronomical Society
dc.titleA fundamental test for stellar feedback recipes in galaxy simulations
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume487
dc.date.issued2019
local.identifier.absfor020103 - Cosmology and Extragalactic Astronomy
local.identifier.absfor080110 - Simulation and Modelling
local.identifier.ariespublicationu3102795xPUB4649
local.publisher.urlhttp://mnras.oxfordjournals.org/
local.type.statusPublished Version
local.contributor.affiliationFujimoto, Yusuke, College of Science, ANU
local.contributor.affiliationChevance, Mélanie, Heidelberg University
local.contributor.affiliationHaydon, Daniel T., Heidelberg University
local.contributor.affiliationKrumholz, Mark, College of Science, ANU
local.contributor.affiliationKruijssen, J. M. Diederik, Zentrum fur Astronomie der Universit ¨ at Heidelberg
dc.relationhttp://purl.org/au-research/grants/arc/DP160100695
dc.relationhttp://purl.org/au-research/grants/arc/FT180100375
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage1717
local.bibliographicCitation.lastpage1728
local.identifier.doi10.1093/mnras/stz641
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciences
dc.date.updated2020-03-29T07:16:39Z
local.identifier.thomsonIDWOS:000474919700016
dcterms.accessRightsOpen Access
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/24618..."Institutional Repository. Set statement to accompany deposit" from SHERPA/RoMEO site (as at 15/07/2020). This is a pre-copyedited, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The version of record [Fujimoto, Yusuke, et al. "A fundamental test for stellar feedback recipes in galaxy simulations." Monthly Notices of the Royal Astronomical Society 487.2 (2019): 1717-1728.] is available online at: https://dx.doi.org/10.1093/mnras/stz641
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