J/MNRAS/500/3027ivo://CDS.VizieR/J/MNRAS/500/3027doi:10.26093/cds/vizier/bg-fm-2ykCDSDuarte-Cabral A.Colombo D.Urquhart J.S.Ginsburg A.Russeil D.,Schuller F.Anderson L.D.Barnes P.J.Beltran M.T.Beuther H.,Bontemps S.Bronfman L.Csengeri T.Dobbs C.L.Eden D.Giannetti A.,Kauffmann J.Mattern M.Medina S.-N.X.Menten K.M.Lee M.-Y.,Pettitt A.R.Riener M.Rigby A.J.Traficante A.Veena V.S.Wienen M.,Wyrowski F.Agurto C.Azagra F.Cesaroni R.Finger R.Gonzalez E.,Henning T.Hernandez A.K.Kainulainen J.Leurini S.Lopez S.,Mac-Auliffe F.Mazumdar P.Molinari S.Motte F.Muller E.,Nguyen-Luong Q.Parra R.Perez-Beaupuits J.-P.Montenegro-Montes F.M.,Moore T.J.T.Ragan S.E.Sanchez-Monge A.Sanna A.Schilke P.,Schisano E.Schneider N.Suri S.Testi L.Torstensson K.Venegas P.,Wang K.Zavagno A.2026-08-03T07:30:32Z2023-11-13T08:18:10ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frmolecular-cloudsinterstellar-mediummilky-way-galaxyastrometrygalaxy-kinematicsradio-spectroscopyWe use the ^13^CO(2-1) emission from the SEDIGISM (Structure, Excitation, and Dynamics of the Inner Galactic InterStellar Medium) high-resolution spectral-line survey of the inner Galaxy, to extract the molecular cloud population with a large dynamic range in spatial scales, using the Spectral Clustering for Interstellar Molecular Emission Segmentation (SCIMES) algorithm. This work compiles a cloud catalogue with a total of 10663 molecular clouds, 10300 of which we were able to assign distances and compute physical properties. We study some of the global properties of clouds using a science sample, consisting of 6664 well-resolved sources and for which the distance estimates are reliable. In particular, we compare the scaling relations retrieved from SEDIGISM to those of other surveys, and we explore the properties of clouds with and without high-mass star formation. Our results suggest that there is no single global property of a cloud that determines its ability to form massive stars, although we find combined trends of increasing mass, size, surface density, and velocity dispersion for the sub-sample of clouds with ongoing high-mass star formation. We then isolate the most extreme clouds in the SEDIGISM sample (i.e. clouds in the tails of the distributions) to look at their overall Galactic distribution, in search for hints of environmental effects. We find that, for most properties, the Galactic distribution of the most extreme clouds is only marginally different to that of the global cloud population. The Galactic distribution of the largest clouds, the turbulent clouds and the high-mass star-forming clouds are those that deviate most significantly from the global cloud population. We also find that the least dynamically active clouds (with low velocity dispersion or low virial parameter) are situated further afield, mostly in the least populated areas. However, we suspect that part of these trends may be affected by some observational biases (such as completeness and survey limitations), and thus require further follow up work in order to be confirmed.2021MNRAS.500.3027Dhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/500/3027CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/A+A/601/A124 : Clouds in SEDIGISM science demonstration fieldhttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/500/3027https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/500/3027http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/500/3027https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/500/3027https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/500/3027http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/500/3027GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/500/3027/tablea1 (SEDIGISM catalogue)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/500/3027/tablea1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/500/3027/tablea1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/500/3027/tablea1?GETtext/xml+votable180.050000true187.755252932847-63.010702364080.0055555555555555565/7202-7203 7206-7207 7228-7229 7275 7278 7376 10419-10420 10444 10451 10453 10542-10543 10556 10595 10624 6/28802-28803 28818 28848-28849 28852-28853 28874-28875 28878-28879 28896-28897 28900-28901 28903 28925 29090-29091 29094 29096-29097 29118-29119 29162 29457 29460-29461 41598-41599 41653-41655 41657-41662 41671 41673-41675 41684-41686 41688 41696-41698 41758-41759 41763 41766-41770 41772-41773 41780-41781 41784 41799 41801-41803 41810-41811 41816-41817 41820 41824 41856 42155 42158-42159 42206-42207 42210-42211 42213-42217 42220 42228-42229 42377-42379 42387 42390-42394 42396-42397 42400 42434-42435 42438-42441 42444-42445 42450-42451 42454-42457 42460-42461 42500-42501 42512 43013-43015 43020-43021 43024-43026https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/500/3027?format=asciiMillimeterdefaultJ/MNRAS/500/3027/tablea1SEDIGISM cataloguerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintaSemi-major axisarcsecphys.angSize;srcdoublebSemi-minor axisarcsecphys.angSize.sminAxisdoublePA[] Position angle of the major axis, with 0{deg} being along the x/l axisdegpos.posAngdoubleARmomAspect ratio from the momentsphys.size.axisRatiodoublelengthMAProjected geometrical medial axis lengtharcsecphys.angSizedoublewidthMAProjected geometrical medial axis widtharcsecphys.angSizedoubleARMAAspect ratio from the medial axisphys.size.axisRatiodoubleI13COAverage ^13^CO(2-1) integrated intensity <I_^13^CO_>K.km/sspect.line.intensitydoubleT13COPeak ^13^CO(2-1) intensity T^peak^_^13^CO_Kspect.line.intensitydoubleSNRSignal-to-noise ratiostat.snrdoubleNpixNumber of 3D pixels (i.e. voxels) in the cloudmeta.numberintNleavesNumber of individual dendrogram leaves comprised in the cloudmeta.numberintOrigfileName of the field from which the cloud was originally extractedmeta.id;meta.filefloatEdge[0/1] Tag identifying whether a cloud touches an edge of the field (yes=1, no=0)meta.codeintSimbadSimbad column added by the CDSmeta.ref.urlchardnear? Near kinematic distancekpcpos.distancefloatnullablee_dnear? Error on dnearkpcstat.errorfloatnullable_RA.icrsRight ascension (ICRS) (computed by VizieR, not part of the original data. The format may include more digits than the original data because of internal accuracy requirements in VizieR and across other CDS services)degpos.eq.raindexed_DE.icrsDeclination (ICRS) (computed by VizieR, not part of the original data. The format may include more digits than the original data because of internal accuracy requirements in VizieR and across other CDS services)degpos.eq.decindexedID[1/10663] Internal cloud identifiermeta.idintNameCloud name (SDGLLL.lll+B.bbbb)meta.id;meta.maincharGLONGalactic longitude of the cloud's centroiddegpos.galactic.lonindexedGLATGalactic latitude of the cloud's centroiddegpos.galactic.latindexedvLSRSystemic velocitykm/sphys.veloc;pos.lsrdoublesigmaVelocity dispersionkm/sphys.veloc.dispersiondoubleAreaExact footprint areaarcsec**2phys.areadoubleReqEquivalent radius, estimated using the footprint areaarcsecphys.angSize;srcdoubledfar? Far kinematic distancekpcpos.distancefloatnullablee_dfar? Error on dfarkpcstat.errorfloatnullabled? Final adopted distancekpcpos.distancefloatnullablee_d? Error on dkpcstat.errorfloatnullabledmetFlag describing the method by which the final distance was decided (1)meta.codechardsolFlag describing the type of distance solution (2)meta.codechardreliable[0/1] Flag to indicate sources with a reliable distance (1=reliable, 0=non-reliable)meta.codeintHISAFlag with the result from our automated HI self-absorption (HISA) determination (1=strong HISA, -1=no HISA)meta.codeintNAGALtotTotal number of ATLAGAL matchesmeta.numberintNAGALperfNumber of ATLASGAL perfect matchesmeta.numberintNAGALpartNumber of ATLASGAL partial matchesmeta.numberintNAGALnodNumber of ATLASGAL matches with no distance assignedmeta.numberintHMSF[0/1] Tag identifying whether a cloud has a high-mass star formation (HMSF) tracer (1=yes, 0=no)meta.codeintAreapcExact footprint area in pc^2^pc**2phys.areadoubleReqpcEquivalent radius, estimated using the footprint area in pcpcphys.size.radiusdoubleapcSemi-major axis in pcpcphys.sizedoublebpcSemi-minor axis in pcpcphys.sizedoublelengthMApcProjected geometrical medial axis length in pcpcphys.angSizedoublewidthMApcProjected geometrical medial axis width in pcpcphys.angSizedoubleMassCloud masssolMassphys.massdoubleNCloud's average column densitycm**-2phys.columnDensity;stat.meandoubleSigmaCloud's average gas surface densitysolMass.pc**-2phot.flux.density.sb;stat.meandoublealphavirVirial parameterstat.fit.paramdoubleReqdDeconvolved equivalent radiuspcphys.size.radiusdoubleSigmadSurface density, calculated using the deconvolved radiussolMass.pc**-2phys.size.radius;meta.modelleddoublealphavirdVirial parameter, calculating using the deconvolved radiusstat.fit.paramdoubleXsunX in Heliocentric coordinateskpcpos.distance;pos.heliocentricdoubleYsunY in Heliocentric coordinateskpcpos.distance;pos.heliocentricdoubleZsunZ in Heliocentric coordinateskpcpos.distance;pos.heliocentricdoubleXgalX in Galactocentric coordinateskpcpos.cartesian.x;pos.galacticdoubleYgalY in Galactocentric coordinateskpcpos.cartesian.y;pos.galacticdoubleZgalZ in Galactocentric coordinateskpcpos.cartesian.z;pos.galacticdoubleRgalGalactocentric distancekpcpos.distance;pos.galactocentricdouble