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Understanding biases in measurements of molecular cloud kinematics using line emission

dc.contributor.authorYuan, Yuxuan
dc.contributor.authorKrumholz, Mark
dc.contributor.authorBurkhart, B.
dc.date.accessioned2022-08-02T00:10:33Z
dc.date.available2022-08-02T00:10:33Z
dc.date.issued2020
dc.date.updated2021-08-01T08:24:51Z
dc.description.abstractMolecular line observations using a variety of tracers are often used to investigate the kinematic structure of molecular clouds. However, measurements of cloud velocity dispersions with different lines, even in the same region, often yield inconsistent results. The reasons for this disagreement are not entirely clear, since molecular line observations are subject to a number of biases. In this paper, we untangle and investigate various factors that drive linewidth measurement biases by constructing synthetic position-position-velocity cubes for a variety of tracers from a suite of self-gravitating magnetohydrodynamic simulations of molecular clouds. We compare linewidths derived from synthetic observations of these data cubes to the true values in the simulations. We find that differences in linewidth as measured by different tracers are driven by a combination of density-dependent excitation, whereby tracers that are sensitive to higher densities sample smaller regions with smaller velocity dispersions, opacity broadening, especially for highly optically thick tracers such as CO, and finite resolution and sensitivity, which suppress the wings of emission lines. We find that, at fixed signal-to-noise ratio, three commonly used tracers, the J = 4 → 3 line of CO, the J = 1 → 0 line of C18O, and the (1,1) inversion transition of NH3, generally offer the best compromise between these competing biases, and produce estimates of the velocity dispersion that reflect the true kinematics of a molecular cloud to an accuracy of ≈ 10 percent regardless of the cloud magnetic field strengths, evolutionary state, or orientations of the line of sight relative to the magnetic field. Tracers excited primarily in gas denser than that traced by NH3 tend to underestimate the true velocity dispersion by ≈ 20 percent on average, while low-density tracers that are highly optically thick tend to have biases of comparable size in the opposite direction.en_AU
dc.description.sponsorshipMRK acknowledges funding from the Australian Research Council through the Future Fellowship (FT180100375) and Discovery Projects (DP190101258) funding schemes. BB acknowledges support from Simons Foundation Flatiron Institute and the Center for Computational Astrophysics (CCA). Simulations used for this work are part of the Catalog for Astrophysical Turbulence Simulations (CATS) project hosted by CCA at www.mhdturbulence.com. This work made use of resources from the National Computational Infrastructure (NCI), which is supported by the Australian Government, through grant jh2.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0035-8711en_AU
dc.identifier.urihttp://hdl.handle.net/1885/270091
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/24618..."The Published Version can be archived in an Institutional Repository" from SHERPA/RoMEO site (as at 02/08/2022). This article has been accepted for publication in [Monthly Notices of the Royal Astronomical Society] ©: 2020 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.en_AU
dc.publisherBlackwell Publishing Ltden_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT180100375en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP190101258en_AU
dc.rights© 2020 The Author(s)en_AU
dc.sourceMonthly Notices of the Royal Astronomical Societyen_AU
dc.subjectMHDen_AU
dc.subjectradiative transferen_AU
dc.subjectturbulenceen_AU
dc.subjectISM: cloudsen_AU
dc.subjectISM: kinematics and dynamicsen_AU
dc.subjectgalaxies: star formationen_AU
dc.titleUnderstanding biases in measurements of molecular cloud kinematics using line emissionen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue2en_AU
local.bibliographicCitation.lastpage2455en_AU
local.bibliographicCitation.startpage2440en_AU
local.contributor.affiliationYuan, Yuxuan, College of Science, ANUen_AU
local.contributor.affiliationKrumholz, Mark, College of Science, ANUen_AU
local.contributor.affiliationBurkhart, B., Rutgers Universityen_AU
local.contributor.authoruidYuan, Yuxuan, u6772166en_AU
local.contributor.authoruidKrumholz, Mark, u1000557en_AU
local.description.notesImported from ARIESen_AU
local.identifier.ariespublicationa383154xPUB16382en_AU
local.identifier.citationvolume498en_AU
local.identifier.doi10.1093/mnras/staa2432en_AU
local.identifier.scopusID2-s2.0-85096808227
local.publisher.urlhttp://mnras.oxfordjournals.org/en_AU
local.type.statusPublished Versionen_AU

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