J/ApJ/925/36ivo://CDS.VizieR/J/ApJ/925/36doi:10.26093/cds/vizier.19250036CDSBailin J.von Klar R.2025-02-06T20:10:17Z2023-09-28T09:24:25ZCDS support team

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

cds-question@unistra.frglobular-star-clustersmilky-way-galaxymetallicityIntrinsic iron abundance spreads in globular clusters (GCs), although usually small, are very common, and are signatures of self-enrichment: some stars within the cluster have been enriched by supernova ejecta from other stars within the same cluster. We use the Bailin (2018ApJ...863...99B) self-enrichment model to predict the relationship between properties of the protocluster-its mass and the metallicity of the protocluster gas cloud-and the final observable properties today-its current metallicity and the internal iron abundance spread. We apply this model to an updated catalog of Milky Way GCs where the initial mass and/or the iron abundance spread is known to reconstruct their initial metallicities. We find that with the exception of the known anomalous bulge cluster Terzan 5 and three clusters strongly suspected to be nuclear star clusters from stripped dwarf galaxies, the model provides a good lens for understanding their iron spreads and initial metallicities. We then use these initial metallicities to construct age-metallicity relations for kinematically identified major accretion events in the Milky Way's history. We find that using the initial metallicity instead of the current metallicity does not alter the overall picture of the Milky Way's history because the difference is usually small but does provide information that can help distinguish which accretion event some individual GCs with ambiguous kinematics should be associated with and points to potential complexity within the accretion events themselves.2022ApJ...925...36Bhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/925/36CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toIII/284 : APOGEE-2 data from DR16 (Johnsson+, 2020)VII/195 : Globular Clusters in the Milky Way (Harris, 1996)VII/202 : Globular Clusters in the Milky Way (Harris, 1997)J/A+A/505/117 : Abundances of red giants in 15 GCs (Carretta+, 2009)J/A+A/533/A69 : Spectroscopy of 124 RGB stars in NGC 1851 (Carretta+, 2011)J/ApJ/726/L20 : Spectroscopy of Terzan 5 (Origlia+, 2011)J/ApJ/795/22 : Iron abundance of Terzan 5 stars (Massari+, 2014)J/MNRAS/450/815 : Red giants in NGC 5286 (Marino+, 2015)J/A+A/592/A66 : NGC 2808 AGB and RGB stars Na abundance (Wang+, 2016)J/ApJ/844/164 : HST astro-phot. analysis of NGC5139. III. (Bellini+, 2017)J/AJ/154/155 : Abundances in the outer halo GC NGC 6229 (Johnson+, 2017)J/A+A/607/A135 : NGC 104, 6121 & 6809 AGB & RGB Na abundances (Wang+, 2017)J/MNRAS/474/2479 : Orbital parameters of globular clusters (Balbinot+, 2018)J/ApJS/245/5 : Paper I - GC intrinsic iron abundance spreads (Bailin, 2019)J/ApJ/887/91 : EWs of giants in the GC NGC3201 (Marino+, 2019)J/A+A/622/A191 : 885 globular cluster giants abundances (Masseron+, 2019)J/MNRAS/492/1641 : APOGEE southern GCs with the BACCHUS code (Meszaros+, 2020)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/925/36https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/925/36http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/925/36https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/925/36https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/925/36http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/925/36GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/925/36/table1 (Observed and predicted properties of the GC sample)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/925/36/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/925/36/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/925/36/table1?GETtext/xml+votable180.050000true58.7604167-49.61444440.0055555555555555566/1133 3950 6389 9436 9666 10008 10321 10336 12405 12425 12531 12943 14489 16647 17121 17711 19091 20001 21017 24843 25873 27237 27981 27986 28067 28577 28705 28717 28741 28751 28768-28769 28778 28805 28808 28815 28817 28833 28835 28855 28867-28868 28876-28877 28882 28889 28895 28903 28905 28959 28962 28970 28973-28974 29077 29184 29187 29195 29202 29216 29222 29231 29233 29248 29267 29289 29294 29318 29377 29626 29632 29636-29637 29816 29870 30321 30323 30378 30769 30998 31019 31043 31095 31115 31128 31398 31417 31723 32083 33321 33330 33635 34242 34317 34811 36971 37294 38465 39642 39954 41011 41257 41304 41507 41522 41847 41852 42076 42152 42278 42314 42320 42360-42361 42466 42700 42761 42789 42841 42955 42958 42990 43125 43193 43227 43894 44086 44220 44427 47125 47620 47777 47825 47866 47868 47903 47916 47935 47971 48035 48434 48444 48698 48952https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/925/36?format=asciidefaultJ/ApJ/925/36/table1Observed and predicted properties of the GC samplesigma0[0/0.3]? Internal iron spreadphys.abund.Fe;stat.variance;meta.modelledfloatnullableSimbadNameSimbad column added by the CDSmeta.idcharnullableE_sigma0[0.002/0.14]? Upper uncertainty in sigma0stat.error;stat.maxfloatnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintlogMinit[3.7/6.7] Log initial cluster stellar mass (2)log(solMass)phys.massfloatE_logMinit[0/0.12] Upper uncertainty in logMinitlog(solMass)stat.error;stat.maxfloate_logMinit[0/0.18] Lower uncertainty in logMinitlog(solMass)stat.errorfloat[Fe/H][-2.3/-0.09] Adopted metallicity (3)log(Sun)phys.abund.Fefloate_[Fe/H][0.1/0.2] Uncertainty in [Fe/H]log(Sun)stat.error;phys.abund.Fefloate_sigma0[0/0.021]? Lower uncertainty in sigma0stat.errorfloatnullablesigma0-P[0/0.34] Predicted sigma0 value from GCZCSE model (Bailin 2018ApJ...863...99B)phys.abund.Fe;stat.variance;meta.modelledfloatE_sigma0-P[0/0.2]? Upper uncertainty in sigma0-Pstat.error;stat.maxfloatnullablee_sigma0-P[0/0.12]? Lower uncertainty in sigma0-Pstat.errorfloatnullable[Fe/H]sig0[-2.32/-0.15]? Reconstructed initial metallicity from sigma0log(Sun)phys.abund.Fe;meta.modelledfloatnullableE_[Fe/H]sig0[0.07/0.2]? Upper uncertainty in [Fe/H]sig0log(Sun)stat.error;stat.maxfloatnullablee_[Fe/H]sig0[0.09/0.3]? Lower uncertainty in [Fe/H]sig0log(Sun)stat.error;phys.abund.Fefloatnullable[Fe/H]Minit[-3.3/-0.09] Reconstructed initial metallicity from Minitlog(Sun)phys.abund.Fe;meta.modelledfloatE_[Fe/H]Minit[0.09/0.6] Upper uncertainty in [Fe/H]Minitlog(Sun)stat.error;stat.maxfloate_[Fe/H]Minit[0.09/1.2] Lower uncertainty in [Fe/H]Minitlog(Sun)stat.error;phys.abund.FefloatB18Display data from Balbinot+ 2018, J/MNRAS/474/2479meta.ref.urlintnullablePapIDisplay data from Bailin 2019, J/ApJS/245/5meta.ref.urlintnullable_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.mainNameCluster identifier (1)meta.id;meta.maincharANameAlternate identifiermeta.idcharProgenProposed progenitormeta.codechar