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Numerical calibration of the HCN-star formation correlation

dc.contributor.authorOnus, Adam
dc.contributor.authorKrumholz, Mark
dc.contributor.authorFederrath, Christoph
dc.date.accessioned2019-08-12T07:02:30Z
dc.date.available2019-08-12T07:02:30Z
dc.date.issued2018
dc.date.updated2019-04-14T08:20:16Z
dc.description.abstractHCN(1-0) emission traces dense gas and correlates very strongly with star formation rates (SFRs) on scales from small Milky Way clouds to whole galaxies. The observed correlation offers strong constraints on the efficiency of star formation in dense gas, but quantitative interpretation of this constraint requires a mapping from HCN emission to gas mass and density. In this paper, we provide the required calibration by post-processing high-resolution simulations of dense, star-forming clouds to calculate their HCN emission (LHCN) and to determine how that emission is related to the underlying gas density distribution and star formation efficiency. We find that HCN emission traces gas with a luminosity-weighted mean number density of 0.8-1.7 × 104 cm-3 and that HCN luminosity is related tomass of dense gas of ≳104 cm-3 with a conversion factor of αHCN ≈ 14M⊙/(K km s-1 pc2). We also measure a new empirical relationship between the SFR per global mean free-fall time (εff) and the SFR-HCN relationship, SFR/LHCN ≈ 2.0 × 10-7 (εff/0.01)1.1M⊙ yr-1/(K km s-1 pc2). The observed SFR-HCN correlation constrains εff ≈ 1 per cent with a factor of ~3 systematic uncertainty. The scatter in εff from cloud-to-cloud within the Milky Way is a factor of a few. We conclude that LHCN is an effective tracer of dense gas and that the IR-HCN correlation is a significant diagnostic of the microphysics of star formation in dense gas.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0035-8711en_AU
dc.identifier.urihttp://hdl.handle.net/1885/165006
dc.language.isoen_AUen_AU
dc.provenancehttp://sherpa.ac.uk/romeo/issn/0035-8711/..."author can archive publisher's version/PDF" from SHERPA/RoMEO site (as at 12/08/19). This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2018 Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.en_AU
dc.publisherOxford University Pressen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP160100695en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP150104329en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP170100603en_AU
dc.rights© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Societyen_AU
dc.sourceMonthly Notices of the Royal Astronomical Societyen_AU
dc.titleNumerical calibration of the HCN-star formation correlationen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue2en_AU
local.bibliographicCitation.lastpage1710en_AU
local.bibliographicCitation.startpage1702en_AU
local.contributor.affiliationOnus, Adam, College of Science, ANUen_AU
local.contributor.affiliationKrumholz, Mark, College of Science, ANUen_AU
local.contributor.affiliationFederrath, Christoph, College of Science, ANUen_AU
local.contributor.authoruidOnus, Adam, u6380265en_AU
local.contributor.authoruidKrumholz, Mark, u1000557en_AU
local.contributor.authoruidFederrath, Christoph, u5575624en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor020103 - Cosmology and Extragalactic Astronomyen_AU
local.identifier.absfor089999 - Information and Computing Sciences not elsewhere classifieden_AU
local.identifier.absfor020104 - Galactic Astronomyen_AU
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciencesen_AU
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciencesen_AU
local.identifier.ariespublicationa383154xPUB10561en_AU
local.identifier.citationvolume479en_AU
local.identifier.doi10.1093/mnras/sty1662en_AU
local.identifier.scopusID2-s2.0-85050239143
local.publisher.urlhttps://academic.oup.com/journals/en_AU
local.type.statusPublished Versionen_AU

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