J/MNRAS/489/4389ivo://CDS.VizieR/J/MNRAS/489/4389doi:10.26093/cds/vizier.74894389CDSLamperti I.Saintonge A.De Looze I.Accurso G.Clark C.J.R.,Smith M.W.L.Wilson C.D.Brinks E.Brown T.Bureau M.Clements D.L.,Eales S.Glass D.H.W.Hwang H.S.Lee J.C.Lin L.Michalowski M.J.,Sargent M.Williams T.G.Xiao T.Yang C.2024-08-20T20:13:06Z2023-02-14T13:52:19ZCDS support team

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

cds-question@unistra.frgalaxiesinterstellar-mediumastronomical-modelsWe study the dust properties of 192 nearby galaxies from the JINGLE survey using photometric data in the 22-850{mu}m range. We derive the total dust mass, temperature T, and emissivity index {beta} of the galaxies through the fitting of their spectral energy distribution (SED) using a single modified blackbody model (SMBB). We apply a hierarchical Bayesian approach that reduces the known degeneracy between T and {beta}. Applying the hierarchical approach, the strength of the T-{beta} anticorrelation is reduced from a Pearson correlation coefficient R=-0.79 to R=-0.52. For the JINGLE galaxies we measure dust temperatures in the range 17-30K and dust emissivity indices {beta} in the range 0.6-2.2. We compare the SMBB model with the broken emissivity law modified blackbody (BMBB) and the two modified blackbody (TMBB) models. The results derived with the SMBB and TMBB are in good agreement, thus applying the SMBB, which comes with fewer free parameters, does not penalize the measurement of the cold dust properties in the JINGLE sample. We investigate the relation between T and {beta} and other global galaxy properties in the JINGLE and Herschel Reference Survey (HRS) sample. We find that {beta} correlates with the stellar mass surface density (R=0.62) and anticorrelates with the HI mass fraction (M_HI_/M_*_, R=-0.65), whereas the dust temperature correlates strongly with the star formation rate normalized by the dust mass (R=0.73). These relations can be used to estimate T and {beta} in galaxies with insufficient photometric data available to measure them directly through SED fitting.2019MNRAS.489.4389Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/489/4389CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/ApJS/236/30 : Herschel-ATLAS (H-ATLAS) DR2 (Maddox+, 2018)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/489/4389https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/489/4389http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/489/4389https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/489/4389https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/489/4389http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/489/4389GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/489/4389/tablee1 (Result parameters from the hierarchical SED fitting using the SMBB model)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/489/4389/tablee1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/489/4389/tablee1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/489/4389/tablee1?GETtext/xml+votable180.050000true199.071412525.40669720.0055555555555555565/2593-2594 2610 6/10253 10259 10264 10267 10269 10271 10282 10285-10286 10289-10294 10296-10297 10302 10336 10342 10345-10346 10348 10350-10351 10368 10371 10380-10381 10383-10385 10389 10391 10393-10398 10400-10402 10404 10415 10419 10421-10423 10428-10429 10432 10434 10438-10439 10444-10446 10449 10464-10466 21845 21847 21849 21852-21854 21879 25596 25917 25919 25935 25944 25946-25947 25961 25964 25966 25976 26005 26051 26254-26255 26275-26276 26279 26282 26286 26956 26962 26965-26966 26971 26996 27300 27303 27305 27324 27648 27650 28118 28127 40959https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/489/4389?format=asciidefaultJ/MNRAS/489/4389/tablee1Result parameters from the hierarchical SED fitting using the SMBB modelSimbadNameSimbad column added by the CDSmeta.idcharnullableID[0/192] JINGLE IDmeta.idintrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameSDSS name (JHHDDSS.ss+DDMMSS.s)meta.id;meta.maincharlogMcLogarithm of dust mass from the SMBB modellog(solMass)phys.massfloate_logMcError on logMclog(solMass)stat.errorfloatTcDust temperature from the SMBB model modelKphys.temperaturefloate_TcError on TcKstat.errorfloatbetacEmissivity index from the SMBB modelstat.fit.paramfloate_betacError on betacstat.errorfloatlnLNatural logarithm of the likelihood of the SMBB model fitstat.fit.goodnessfloat_RARight Ascension (J2000) from SIMBAD (not part of the original data)degpos.eq.ra;meta.main_DEDeclination (J2000) from SIMBAD (not part of the original data)degpos.eq.dec;meta.mainJ/MNRAS/489/4389/tablee2Result parameters from the hierarchical SED fitting using the BMBB modelrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintID[0/192] JINGLE IDmeta.idintNameSDSS name (JHHDDSS.ss+DDMMSS.s)meta.id;meta.maincharlogMcLogarithm of dust mass from the BMBB modellog(solMass)phys.massfloate_logMcError on logMclog(solMass)stat.errorfloatTcDust temperature from the BMBB modelKphys.temperaturefloate_TcError on TcKstat.errorfloatbeta1Emissivity index (for wavelengths <{lambda}_break_) from the BMBB modelstat.fit.paramfloate_beta1Error on beta1stat.errorfloatbeta2Emissivity index (for wavelengths >{lambda}_break_) from the BMBB modelstat.fit.paramfloate_beta2Error on beta2stat.errorfloatlambdabWavelength of the break ({lambda}_break_) from the BMBB modelumem.wlfloate_lambdabError on lambdabumstat.errorfloatlnLNatural logarithm of the likelihood of the BMBB model fitstat.fit.goodnessfloatJ/MNRAS/489/4389/tablee3Result parameters from the hierarchical SED fitting using the TMBB modelrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintID[0/192] JINGLE IDmeta.idintlogMcLogarithm of the dust mass of the cold component from the TMBB modellog(solMass)phys.massfloate_logMcError on logMclog(solMass)stat.errorfloatTcDust temperature of the cold component from the TMBB modelKphys.temperaturefloate_TcError on TcKstat.errorfloatbetacEmissivity index of the cold component from the TMBB model (1)stat.fit.paramfloate_betacError on betacstat.errorfloatlogMwLogarithm of the dust mass of the warm component from the TMBB modellog(solMass)phys.massfloate_logMwError on logMwlog(solMass)stat.errorfloatTwDust temperature of the warm component from the TMBB modelKphys.temperaturefloate_TwError on TwKstat.errorfloatlnLNatural logarithm of the likelihood of the TMBB model fitstat.fit.goodnessfloatNameSDSS name (JHHDDSS.ss+DDMMSS.s)meta.id;meta.maincharJ/MNRAS/489/4389/tablee4Results of the analysis of the correlation between dust emissivity index {beta} and combinations of other galaxy propertiesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNparam[2/3] Number of parameters considered for the correlation analysis between {beta} and other propertiesmeta.numberintalogM*? Multiplicative coefficient for logM* of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_alogM*? Error on alogM*stat.errorfloatnullablealogSFR? Multiplicative coefficient for logSFR of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_alogSFR? Error on alogSFRstat.errorfloatnullablealogarea? Multiplicative coefficient for logarea of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_alogarea? Error on alogareastat.errorfloatnullableametal? Multiplicative coefficient for 12+log(O/H) of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_ametal? Error on ametalstat.errorfloatnullablealogMd? Multiplicative coefficient for logMdust of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_alogMd? Error on alogMdstat.errorfloatnullablealogMHI? Multiplicative coefficient for logMHI of the best polynomial expression to estimate {beta} (1)stat.fit.paramfloatnullablee_alogMHI? Error on alogMHIstat.errorfloatnullableinterIntercept of the best polynomial expression to estimate {beta} (parameter b) (1)stat.fit.paramfloate_interError on interstat.errorfloatBICBayesian Information Criterion (Schwarz, 1978AnSta...6..461S) (G1)stat.fit.paramfloatRPearson correlation coefficientstat.correlationfloatJ/MNRAS/489/4389/tablee5Results of the analysis of the correlation between dust temperature T_dust_ and combinations of other galaxy propertiesametal? Multiplicative coefficient for 12+log(O/H) of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablealogMd? Multiplicative coefficient for logMdust of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablee_alogMd? Error on alogMdstat.errorfloatnullablealogMHI? Multiplicative coefficient for logMHI of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablee_alogMHI? Error on alogMHIstat.errorfloatnullableinterIntercept of the best polynomial expression to estimate T_dust_ (parameter b) (1)stat.fit.paramfloate_interError on interstat.errorfloatBICBayesian Information Criterion (Schwarz, 1978AnSta...6..461S) (G1)stat.fit.paramfloatRPearson correlation coefficientstat.correlationfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNparam[2/3] Number of parameters considered for the correlation analysis between T_dust_ and other propertiesmeta.numberintalogM*? Multiplicative coefficient for logM* of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablee_alogM*? Error on alogM*stat.errorfloatnullablealogSFR? Multiplicative coefficient for logSFR of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablee_alogSFR? Error on alogSFRstat.errorfloatnullablealogarea? Multiplicative coefficient for logarea of the best polynomial expression to estimate T_dust_ (1)stat.fit.paramfloatnullablee_alogarea? Error on alogareastat.errorfloatnullablee_ametal? Error on ametalstat.errorfloatnullable