J/AJ/169/172ivo://CDS.VizieR/J/AJ/169/172doi:10.26093/cds/vizier/be-59-5cCDSMittal S.Roederer I.U.2026-07-02T11:45:26Z2026-01-06T14:28:05ZCDS support team

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

cds-question@unistra.frchemically-peculiar-starsvisible-astronomyinfrared-photometryline-intensitiesmetallicityWe present equivalent widths, improved model atmosphere parameters, and revised abundances for 14 species of 11 elements derived from high-resolution optical spectroscopy of 311 metal-poor stars. All of these stars had their parameters previously published by Roederer et al. We use color-Teff relationships calibrated for Gaia and 2MASS photometry to calculate improved effective temperatures (Teff). We calculate log of surface gravity (log g) values using measurements derived from Gaia parallaxes and other fundamental stellar properties. We perform a standard LTE abundance analysis using MARCS model atmospheres and the MOOG line analysis software to rederive microturbulence velocity parameters, metallicities, and abundances based on O i, Na i, Mg i, Si i, K i, Ca i, Ti i, Ti ii, Cr i, Cr ii, Fe i, Fe ii, Ni i, and Zn i lines using previously measured equivalent widths. On average, the new Teff values are 310K warmer, the new log g values are higher by 0.64dex, and the new [Fe/H] values are higher by 0.26dex. We apply NLTE corrections to the abundances derived from O i, Na i, Mg i, Si i, K i, Fe i, and Fe ii lines. Our sample contains 6 stars with [Fe/H]<-3.5, 28 stars with [Fe/H]<-3.0, and 113 stars with [Fe/H]<-2.5. Our revised abundances for these 311 stars are now in better agreement with those derived by previous studies of smaller samples of metal-poor stars in the Milky Way.2025AJ....169..172Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/169/172CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toI/352 : Distances to 1.47 billion stars in Gaia EDR3 (Bailer-Jones+, 2021)I/355 : Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)J/A+A/416/1117 : Abundances in the early Galaxy (Cayrel+, 2004)J/A+A/435/373 : Broadening of Fe II lines by H collisions (Barklem+, 2005)J/ApJ/681/1524 : Detailed abundances for 28 metal-poor stars (Lai+, 2008)J/A+A/512/A54 : Teff and Fbol from Infrared Flux Method (Casagrande+, 2010)J/AJ/141/175 : Abundances in M15 RGB/RHB stars (Sobeck+, 2011)J/ApJ/762/26 : Most metal-poor stars. II. 190 Gal. halo stars (Yong+, 2013)J/AJ/147/136 : Stars of very low metal abundance. VI. Abund. (Roederer+, 2014)J/ApJ/807/171 : SkyMapper Survey metal-poor star spectroscopy (Jacobson+, 2015)J/A+A/616/A10 : 46 open clusters GaiaDR2 HR diagrams (Gaia Collaboration, 2018)J/ApJ/865/129 : Abundance analysis of HD 222925 (Roederer+, 2018)J/AJ/160/181 : Chemical abundances in red giants with Magellan (Ji+, 2020)J/A+A/674/A18 : Gaia DR3. The RR Lyrae sample (Clementini+, 2023)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/169/172https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/AJ/169/172http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/AJ/169/172https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/AJ/169/172https://vizier.iucaa.in/viz-bin/votable?-source=J/AJ/169/172http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/AJ/169/172GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/AJ/169/172/table1 (Effective temperatures calculated from different colors)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/169/172/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/169/172/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/169/172/table1?GETtext/xml+votable180.050000true194.83304449.24323190.0055555555555555566/146 232 798 2426 4694 5111 5545 5555 6051 6159 6256 6348 6747 7456 7798 8093 8367 9162 9992 10404 10943 11123 11363 11920 11971 12397 12621 12704 12793 13020 13028 13628 13718 13829-13830 14385 16115 16433 16451 16456 16462 16473 16496 16501 16514 16566 16587 16609 16663 16665-16666 16679 16854 17136 17159-17160 17343 17353 17357 17370 17380-17381 17392 17420 17460 17492 17495 17564 17642 17734 17811 18483 18503 18511 18514 18578 18582 18587 18683 18707 18715 18719 18764 18768 18778 18788 18972 19017 19083 22205 22662 22664 23192 23892 23978 24685 25116 25595 25639 25656 25702 25733 25753 25755 26025 26347 26457 26534 26589 26658 27162 27330 27693 28336 29703 30577 30891 30913 30963 31377 31383 31398 31418-31419 31427 31447 31543 31585 31595 31642 32468 32593 32889 33249 33470 33515 33526-33527 33596 33633 33635 33642 33696 33707-33708 34012 34232 34595 34600 34606 34684 34708 34749 34751 34762 34816 35072 35532 35553 35561 35599 35649 35750 35752 35768 35772-35773 35775 35786 35875 36135 36193 36221 36365 36628 36690 36737 36745 36799 36813 36837 43360 43445 44208 44268 44281 44575 44625 44892 45017 45395 45397 45401 45404 45460 45463 45468 45470 45489 45491 45504 45514 45746 45753 45773 45790 45796-45797 45801 45804 45825 45859 45868 45881 46023 46080 46090 46370 46399 46446 46462 46532 46540 46554 46563 46565 46575 46580 46642 46646 46662-46663 46665 46668 46676 46686 46691 46695 46699 46704-46705 46760 46780 46796 46851 47014 47018 47092 47193 47204 47216-47217 47306 47344 47389 47421 47436 47458-47459 47472 47476 47478 47483 47518-47519 47540 47556 47558 47698 48129 48138 48145 48153 48160 48162 48173 48223 48234 48363 48375 48387-48388 48392 48501 48511 48517 48526 48544 48603 48613 48625 48660 48720 48728 48731 48734 48736 48798 48824 48862 48937 49009 49078https://cdsarc.cds.unistra.fr/viz-bin/moc/J/AJ/169/172?format=asciiOpticalInfrareddefaultJ/AJ/169/172/table1Effective temperatures calculated from different colorsrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameStellar identifiermeta.id;meta.maincharprimaryT(BP-RP)[4490/7533] Effective temperature from color BP-RPKphys.temperature.effectiveintSimbadNameSimbad column added by the CDSmeta.idcharnullablee_T(BP-RP)[64/233] Uncertainty in T (BP-RP)Kstat.errorintT(BP-G)[0/7214] Effective temperature from color BP-G (1)Kphys.temperature.effectiveinte_T(BP-G)[0/415] Uncertainty in T (BP-G) (1)Kstat.errorintT(G-RP)[0/7489] Effective temperature from color G-RP (1)Kphys.temperature.effectiveinte_T(G-RP)[0/224] Uncertainty in T (G-RP) (1)Kstat.errorintT(BP-K)[4463/7451] Effective temperature from color BP-KKphys.temperature.effectiveinte_T(BP-K)[49/144] Uncertainty in T (BP-K)Kstat.errorintT(RP-K)[4463/7630] Effective temperature from color RP-KKphys.temperature.effectiveinte_T(RP-K)[65/242] Uncertainty in T (RP-K)Kstat.errorintT(G-K)[0/7644] Effective temperature from color G-K (1)Kphys.temperature.effectiveinte_T(G-K)[0/99] Uncertainty in T (G-K) (1)Kstat.errorint_RAPosition from Simbad (right ascension part)degpos.eq.ra;meta.main_DEPosition from Simbad (declination part)degpos.eq.dec;meta.mainJ/AJ/169/172/table2Derived line-by-line abundancesNameStellar identifiermeta.id;meta.maincharprimaryrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDSpeciesphys.atmol.ionStagecharlambda[3329.4/7775.4] Wavelength in Angstroms0.1nmem.wldoubleEW[1.6/476.6] Equivalent width in milliAngstroms0.1pmspect.line.eqWidthfloatloge(X)[0.81/8.72] Log epsilon abundance of element Xphys.abundfloatNLTEcorr[-0.68/0.32]? NLTE correction to log(e)(X) abundancephys.abund;arith.difffloatnullableJ/AJ/169/172/table3Final effective temperature and log of surface gravity values, and other final model atmosphere parametersNameStellar identifiermeta.id;meta.maincharprimaryrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintClassStar class (1)src.classcharTeff[4472/7451] Effective temperatureKphys.temperature.effectiveinte_Teff[2/36] Uncertainty in TeffKstat.error;phys.temperature.effectiveintlogg[1.08/4.82] Log of surface gravitylog(cm.s**-2)phys.gravityfloate_logg[0.15/0.5] Uncertainty in logglog(cm.s**-2)stat.error;phys.gravityfloatE(B-V)[0.0/0.22] E(B-V) reddeningmagphot.color.excessfloate_E(B-V)[0.01/0.03] Uncertainty in E(B-V)magstat.error;phot.color.excessfloatBC-G[-0.62/0.04] Bolometric correction in Gmagphot.mag.bcfloate_BC-G[0.01/0.18] Uncertainty in BCmagstat.error;phot.mag.bcfloat[M/H][-3.9/-1.0] Model metallicity adoptedphys.abund.Z;meta.modelledfloate_[M/H][0.3/0.3] Uncertainty in [M/H]stat.error;phys.abund.Z;meta.modelledfloatvt[0.8/3.5] Microturbulence velocitykm/sphys.veloc.microTurbfloate_vt[0.06/0.06] Uncertainty in vtkm/sstat.error;phys.veloc.microTurbfloatJ/AJ/169/172/table4Derived local thermodynamic equilibrium (LTE) abundances[CrII/Fe][-0.39/0.58]? CrII abundance relative to FeIphys.abund;arith.ratiofloatnullableNameStellar identifiermeta.id;meta.maincharprimaryrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintnFeI[19/138] Number of FeI LTE lines used (1)meta.numberintloge(FeI)[3.38/6.46] Log epsilon mean abundance of FeIphys.abund;stat.meanfloat[FeI/H][-4.12/-1.04] FeI abundance relative to Hphys.abund.Fefloate_[FeI/H][0.03/0.1] Total uncertainty in [FeI/H]stat.error;phys.abund.FefloatnFeII[1/13]? Number of FeII LTE lines used (1)meta.numberintnullableloge(FeII)[3.41/6.52]? Log epsilon mean abundance of FeIIphys.abund;stat.meanfloatnullable[FeII/H][-4.09/-0.98]? FeII abundance relative to Hphys.abund.Fefloatnullablee_[FeII/H][0.12/0.6]? Total uncertainty in [FeII/H]stat.error;phys.abund.FefloatnullablenOI[1/4]? Number of OI LTE lines used (1)meta.numberintnullableloge(OI)[6.55/8.72]? Log epsilon mean abundance of OIphys.abund;stat.meanfloatnullable[OI/Fe][0.26/2.85]? OI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[OI/Fe][0.09/0.31]? Total uncertainty in [OI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenNaI[1/4]? Number of NaI LTE lines used (1)meta.numberintnullableloge(NaI)[2.42/5.33]? Log epsilon mean abundance of NaIphys.abund;stat.meanfloatnullable[NaI/Fe][-0.56/1.63]? NaI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[NaI/Fe][0.12/0.28]? Total uncertainty in [NaI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenMgI[1/9] Number of MgI LTE lines used (1)meta.numberintloge(MgI)[3.81/7.18] Log epsilon mean abundance of MgIphys.abund;stat.meanfloat[MgI/Fe][-0.36/1.51] MgI abundance relative to FeIphys.abund;arith.ratiofloate_[MgI/Fe][0.08/0.22] Total uncertainty in [MgI/Fe]stat.error;phys.abund;arith.ratiofloatnSiI[1/4]? Number of SiI LTE lines used (1)meta.numberintnullableloge(SiI)[3.63/6.87]? Log epsilon mean abundance of SiIphys.abund;stat.meanfloatnullable[SiI/Fe][-0.34/1.14]? SiI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[SiI/Fe][0.09/0.55]? Total uncertainty in [SiI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenKI[1/2]? Number of KI LTE lines used (1)meta.numberintnullableloge(KI)[1.51/4.74]? Log epsilon mean abundance of KIphys.abund;stat.meanfloatnullable[KI/Fe][-0.08/0.88]? KI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[KI/Fe][0.11/0.21]? Total uncertainty in [KI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenCaI[3/14] Number of CaI LTE lines usedmeta.numberintloge(CaI)[2.45/5.58] Log epsilon mean abundance of CaIphys.abund;stat.meanfloat[CaI/Fe][-0.32/0.54] CaI abundance relative to FeIphys.abund;arith.ratiofloate_[CaI/Fe][0.06/0.24] Total uncertainty in [CaI/Fe]stat.error;phys.abund;arith.ratiofloatnTiI[1/19]? Number of TiI LTE lines usedmeta.numberintnullableloge(TiI)[1.21/4.21]? Log epsilon mean abundance of TiIphys.abund;stat.meanfloatnullable[TiI/Fe][-0.35/1.16]? TiI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[TiI/Fe][0.05/0.52]? Total uncertainty in [TiI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenTiII[2/34] Number of TiII LTE lines usedmeta.numberintloge(TiII)[1.31/4.4] Log epsilon mean abundance of TiIIphys.abund;stat.meanfloat[TiII/Fe][-0.14/1.04] TiII abundance relative to FeIphys.abund;arith.ratiofloate_[TiII/Fe][0.09/0.32] Total uncertainty in [TiII/Fe]stat.error;phys.abund;arith.ratiofloatnCrI[1/13] Number of CrI LTE lines usedmeta.numberintloge(CrI)[1.03/4.53] Log epsilon mean abundance of CrIphys.abund;stat.meanfloat[CrI/Fe][-0.67/0.3] CrI abundance relative to FeIphys.abund;arith.ratiofloate_[CrI/Fe][0.06/0.4] Total uncertainty in [CrI/Fe]stat.error;phys.abund;arith.ratiofloatnCrII[1/4]? Number of CrII LTE lines usedmeta.numberintnullableloge(CrII)[2.1/4.73]? Log epsilon mean abundance of CrIIphys.abund;stat.meanfloatnullablee_[CrII/Fe][0.15/0.65]? Total uncertainty in [CrII/Fe]stat.error;phys.abund;arith.ratiofloatnullablenNiI[1/18]? Number of NiI LTE lines usedmeta.numberintnullableloge(NiI)[2.03/5.24]? Log epsilon mean abundance of NiIphys.abund;stat.meanfloatnullable[NiI/Fe][-0.34/0.49]? NiI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[NiI/Fe][0.06/0.41]? Total uncertainty in [NiI/Fe]stat.error;phys.abund;arith.ratiofloatnullablenZnI[1/3]? Number of ZnI LTE lines usedmeta.numberintnullableloge(ZnI)[1.28/3.81]? Log epsilon mean abundance of ZnIphys.abund;stat.meanfloatnullable[ZnI/Fe][-0.55/1.04]? ZnI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[ZnI/Fe][0.1/0.54]? Total uncertainty in [ZnI/Fe]stat.error;phys.abund;arith.ratiofloatnullableJ/AJ/169/172/table5Derived non-local thermodynamic equilibrium (NLTE) abundancesNameStellar identifiermeta.id;meta.maincharprimaryrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintnFeI-NLTE[7/32] Number of FeI NLTE lines used (1)meta.numberintloge(FeI)-NLTE[3.56/6.5] Log epsilon mean abundance of FeIphys.abund;stat.meanfloat[FeI/H]-NLTE[-3.94/-1.0] FeI abundance relative to Hphys.abund.Fefloate_[FeI/H]-NLTE[0.06/0.18] Total uncertainty in [FeI/H]-NLTEstat.error;phys.abund.FefloatnFeII-NLTE[1/13]? Number of FeII NLTE lines used (1)meta.numberintnullableloge(FeII)-NLTE[3.42/6.5]? Log epsilon mean abundance of FeIIphys.abund;stat.meanfloatnullable[FeII/H]-NLTE[-4.08/-1.0]? FeII abundance relative to Hphys.abund.Fefloatnullablee_[FeII/H]-NLTE[0.13/0.6]? Total uncertainty in [FeII/H]-NLTEstat.error;phys.abund.FefloatnullablenOI-NLTE[1/4]? Number of OI NLTE lines used (1)meta.numberintnullableloge(OI)-NLTE[6.55/8.72]? Log epsilon mean abundance of OIphys.abund;stat.meanfloatnullable[OI/Fe]-NLTE[0.1/2.85]? OI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[OI/Fe]-NLTE[0.13/0.33]? Total uncertainty in [OI/Fe]-NLTEstat.error;phys.abund;arith.ratiofloatnullablenNaI-NLTE[1/4]? Number of NaI NLTE lines used (1)meta.numberintnullableloge(NaI)-NLTE[2.38/5.22]? Log epsilon mean abundance of NaIphys.abund;stat.meanfloatnullable[NaI/Fe]-NLTE[-0.63/1.53]? NaI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[NaI/Fe]-NLTE[0.16/0.31]? Total uncertainty in [NaI/Fe]-NLTEstat.error;phys.abund;arith.ratiofloatnullablenMgI-NLTE[1/9] Number of MgI NLTE lines used (1)meta.numberintloge(MgI)-NLTE[4.02/7.18] Log epsilon mean abundance of MgIphys.abund;stat.meanfloat[MgI/Fe]-NLTE[-0.36/1.58] MgI abundance relative to FeIphys.abund;arith.ratiofloate_[MgI/Fe]-NLTE[0.1/0.26] Total uncertainty in [MgI/Fe]-NLTEstat.error;phys.abund;arith.ratiofloatnSiI-NLTE[1/4]? Number of SiI NLTE lines used (1)meta.numberintnullableloge(SiI)-NLTE[3.63/6.86]? Log epsilon mean abundance of SiIphys.abund;stat.meanfloatnullable[SiI/Fe]-NLTE[-0.29/1.14]? SiI abundance relative to FeIphys.abund;arith.ratiofloatnullablee_[SiI/Fe]-NLTE[0.13/0.56]? Total uncertainty in [SiI/Fe]-NLTEstat.error;phys.abund;arith.ratiofloatnullablenKI-NLTE[1/2]? Number of KI NLTE lines used (1)meta.numberintnullableloge(KI)-NLTE[1.43/4.21]? Log epsilon mean abundance of KIphys.abund;stat.meanfloatnullable[KI/Fe]-NLTE? KI abundance relative to FeIphys.abund;arith.ratiochare_[KI/Fe]-NLTE[0.17/0.26]? Total uncertainty in [KI/Fe]-NLTEstat.error;phys.abund;arith.ratiofloatnullable