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dc.contributor.authorJaffa, Sarah
dc.contributor.authorDale, James
dc.contributor.authorKrause, Martin
dc.contributor.authorClarke, S. D.
dc.date.accessioned2022-07-12T11:00:02Z
dc.date.available2022-07-12T11:00:02Z
dc.date.issued2022-02-09
dc.identifier.citationJaffa , S , Dale , J , Krause , M & Clarke , S D 2022 , ' Chaotic star formation: error bars for the star formation efficiency and column density PDF ' , Monthly Notices of the Royal Astronomical Society , vol. 511 , no. 2 , pp. 2702–2707 . https://doi.org/10.1093/mnras/stac131
dc.identifier.issn0035-8711
dc.identifier.otherORCID: /0000-0002-9610-5629/work/115907216
dc.identifier.otherORCID: /0000-0001-5252-5771/work/115907217
dc.identifier.urihttp://hdl.handle.net/2299/25615
dc.description© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1093/mnras/stac131
dc.description.abstractSimulations are very useful for testing our theoretical understanding of star formation by varying the initial conditions or treatment of various physical mechanisms. However, large, well resolved simulations including complex physics are computationally costly and therefore are normally only performed once. This leads to a crisis in modelling, because star formation is a chaotic system, where a small variation in initial conditions can be magnified to a large change in results. We create a suite of cluster-scale simulations with 30 different random realisations of the turbulent velocity field applied to the same initial conditions of an isolated spherical molecular cloud. We test commonly used metrics of star formation activity and cloud structure and measure the variance cause by this random variation in initial conditions, to quantify the error that should be applied to single-realisation simulations. We find that after 5 Myr the number of stars varies by 58 per cent of the mean, the star formation efficiency by 60 per cent of the mean ,and the shape of the column density PDF by 7 per cent of the mean. We provide a standard deviation at different times that should be applied as an error margin on all single realisation simulations to enable robust statistical comparison.en
dc.format.extent7
dc.format.extent2822188
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.titleChaotic star formation: error bars for the star formation efficiency and column density PDFen
dc.contributor.institutionCentre for Astrophysics Research (CAR)
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1093/mnras/stac131
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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