Numerical calibration of the HCN-star formation correlation

Adam Onus*, Mark R. Krumholz, Christoph Federrath

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    37 Citations (Scopus)

    Abstract

    HCN(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 × 10-7ff/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.

    Original languageEnglish
    Pages (from-to)1702-1710
    Number of pages9
    JournalMonthly Notices of the Royal Astronomical Society
    Volume479
    Issue number2
    DOIs
    Publication statusPublished - 11 Sept 2018

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