Testing the turbulent origin of the stellar initial mass function
| dc.contributor.author | Nam, Donghee | |
| dc.contributor.author | Federrath, Christoph | |
| dc.contributor.author | Krumholz, Mark | |
| dc.date.accessioned | 2023-03-27T04:18:31Z | |
| dc.date.available | 2023-03-27T04:18:31Z | |
| dc.date.issued | 2021 | |
| dc.date.updated | 2022-01-16T07:20:16Z | |
| dc.description.abstract | Supersonic turbulence in the interstellar medium (ISM) is closely linked to the formation of stars; hence, many theories connect the stellar initial mass function (IMF) with the turbulent properties of molecular clouds. Here, we test three turbulence-based IMF models (by Padoan and Nordlund, Hennebelle and Chabrier, and Hopkins) that predict the relation between the high-mass slope (Γ) of the IMF, dN/d log M λ MΓ, and the exponent n of the velocity power spectrum of turbulence, Ev(k) λ k-n, where n ≈ 2 corresponds to typical ISM turbulence. Using hydrodynamic simulations, we drive turbulence with an unusual index of n ≈ 1, measure Γ, and compare the results with n ≈ 2. We find that reducing n from 2 to 1 primarily changes the high-mass region of the IMF (beyond the median mass), where we measure high-mass slopes within the 95 per cent confidence interval of-1.5 < Γ <-1 for n ≈ 1 and-3.7 < Γ <-2.4 for n ≈ 2, respectively. Thus, we find that n = 1 results in a significantly flatter high-mass slope of the IMF, with more massive stars formed than for n ≈ 2. We compare these simulations with the predictions of the three IMF theories. We find that while the theory by Padoan and Nordlund matches our simulations with fair accuracy, the other theories either fail to reproduce the main qualitative outcome of the simulations or require some modifications. We conclude that turbulence plays a key role in shaping the IMF, with a shallower turbulence power spectrum producing a shallower high-mass IMF, and hence more massive stars. | en_AU |
| dc.description.sponsorship | the Australia–Germany Joint Research Cooperation Scheme (UA-DAAD). We further acknowledge high-performance computing resources provided by the Leibniz Rechenzentrum and the Gauss Centre for Supercomputing (GCS; grants pr32lo, pr48pi, and GCS large-scale project 10391), and the Australian National Computational Infrastructure (grants ek9 and jh2) in the framework of the National Computational Merit Allocation Scheme and the Australian National University Merit Allocation Scheme. The simulation software FLASH was in part developed by the Department of Energy-supported Flash Center for Computational Science at the University of Chicago. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 0035-8711 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/287415 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | https://v2.sherpa.ac.uk/id/publication/24618/..."published version can be archived in institutional repository" from SHERPA/RoMEO site as at 27/03/2023 | en_AU |
| dc.publisher | Blackwell Publishing Ltd | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/DP170100603 | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/FT180100495 | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/DP190101258 | en_AU |
| dc.relation | http://purl.org/au-research/grants/arc/FT180100375 | en_AU |
| dc.rights | © 2021 The authors | en_AU |
| dc.source | Monthly Notices of the Royal Astronomical Society | en_AU |
| dc.subject | hydrodynamics | en_AU |
| dc.subject | turbulence | en_AU |
| dc.subject | methods: numerical | en_AU |
| dc.subject | stars: luminosity function | en_AU |
| dc.subject | mass function | en_AU |
| dc.subject | ISM: clouds | en_AU |
| dc.title | Testing the turbulent origin of the stellar initial mass function | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 1 | en_AU |
| local.bibliographicCitation.lastpage | 1148 | en_AU |
| local.bibliographicCitation.startpage | 1138 | en_AU |
| local.contributor.affiliation | Nam, Donghee, College of Science, ANU | en_AU |
| local.contributor.affiliation | Federrath, Christoph, College of Science, ANU | en_AU |
| local.contributor.affiliation | Krumholz, Mark, College of Science, ANU | en_AU |
| local.contributor.authoruid | Nam, Donghee, u6836819 | en_AU |
| local.contributor.authoruid | Federrath, Christoph, u5575624 | en_AU |
| local.contributor.authoruid | Krumholz, Mark, u1000557 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 460207 - Modelling and simulation | en_AU |
| local.identifier.absfor | 510103 - Cosmology and extragalactic astronomy | en_AU |
| local.identifier.absfor | 401213 - Turbulent flows | en_AU |
| local.identifier.absseo | 280115 - Expanding knowledge in the information and computing sciences | en_AU |
| local.identifier.absseo | 280120 - Expanding knowledge in the physical sciences | en_AU |
| local.identifier.ariespublication | a383154xPUB19259 | en_AU |
| local.identifier.citationvolume | 503 | en_AU |
| local.identifier.doi | 10.1093/mnras/stab505 | en_AU |
| local.identifier.scopusID | 2-s2.0-85105230525 | |
| local.publisher.url | https://academic.oup.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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