J/ApJ/885/100ivo://CDS.VizieR/J/ApJ/885/100doi:10.26093/cds/vizier.18850100CDSLeethochawalit N.Kirby E.N.Ellis R.S.Moran S.M.Treu T.2022-07-25T09:23:11Z2021-09-28T06:31:25ZCDS support team

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

cds-question@unistra.frgalaxy-clusterschemical-abundancesmetallicitystellar-agesstellar-massesvisible-astronomyspectroscopyultraviolet-photometryinfrared-photometryWe present the stellar mass-[Fe/H] and mass-[Mg/H] relation of quiescent galaxies in two galaxy clusters at z~0.39 and z~0.54. We derive the age, [Fe/H], and [Mg/Fe] for each individual galaxy using a full-spectrum fitting technique. By comparing with the relations for z~0 Sloan Digital Sky Survey galaxies, we confirm our previous finding that the mass-[Fe/H] relation evolves with redshift. The mass-[Fe/H] relation at higher redshift has lower normalization and possibly steeper slope. However, based on our sample, the mass-[Mg/H] relation does not evolve over the observed redshift range. We use a simple analytic chemical evolution model to constrain the average outflow that these galaxies experience over their lifetime, via the calculation of mass-loading factor. We find that the average mass-loading factor {eta} is a power-law function of galaxy stellar mass, {eta}{prop}M*^-0.21{+/-}0.09^. The measured mass-loading factors are consistent with the results of other observational methods for outflow measurements and with the predictions where outflow is caused by star formation feedback in turbulent disks.2019ApJ...885..100Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/885/100CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/ApJ/621/673 : Line indices for 124 early-type galaxies (Thomas+, 2005)J/ApJ/634/977 : Redshifts in Cl 0024+16 members (Moran+, 2005)J/ApJ/671/1503 : Cl 0024+16 and MS 0451-03 spectrophotometry (Moran+, 2007)J/ApJS/200/8 : AGES: the AGN and Galaxy Evolution Survey (Kochanek+, 2012)J/ApJ/779/102 : Metallicities of RGB stars in dwarf galaxies (Kirby+, 2013)J/A+A/562/A21 : AGN feedback from CO observations (Cicone+, 2014)J/ApJ/788/72 : Observed sample of z~0.7 massive galaxies (Gallazzi+, 2014)J/MNRAS/466/2570 : Low ioniza. emission-line regions galaxies (Belfiore+, 2017)J/ApJ/856/15 : Stellar mass-metallicity relation. I. (Leethochawalit+, 2018)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/885/100https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/885/100http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/885/100https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/885/100https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/885/100http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/885/100GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/885/100/table1 (Catalog of measured age and metalicities)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/885/100/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/885/100/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/885/100/table1?GETtext/xml+votable180.050000true6.462791717.14511110.0055555555555555566/19846-19847 22913 22915https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/885/100?format=asciiUVOpticalInfrareddefaultJ/ApJ/885/100/table1Catalog of measured age and metalicitiesSimbadNameSimbad column added by the CDSmeta.idcharnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPapIDisplay data from Paper I (Leethochawalit+, 2018, J/ApJ/856/15)meta.ref.urlintnullableClusterGalaxy cluster code (1)meta.codecharNum[1/92] Galaxy numbermeta.id;meta.mainintRAJ2000[0/5] Hour of Right Ascension (J2000)pos.eq.ra;meta.mainDEJ2000Degree of Declination (J2000)pos.eq.dec;meta.mainlogM*[8.9/11.6] log stellar masslog(solMass)phys.massfloat[Fe/H][-0.56/0.2] Median metallicity (2)phys.abund.Z;stat.medianfloatE_[Fe/H][-0.5/0.4] 1-sigma (84th percentile) upper limit in [Fe/H]stat.error;stat.maxfloate_[Fe/H][-0.8/0.2] 1-sigma (16th percentile) lower limit in [Fe/H]stat.error;phys.abund.FefloatAge[0.9/9.3] Median ageGyrtime.age;stat.medianfloatE_Age[1/13] 1-sigma (84th percentile) upper limit in AgeGyrstat.error;stat.maxfloate_Age[0.1/7.6] 1-sigma (16th percentile) lower limit in AgeGyrstat.error;time.agefloat[Mg/Fe][-0.33/0.98] Median log Mg/Fe abundance ratiophys.abund;stat.medianfloatE_[Mg/Fe][-0.2/1.1] 1-sigma (84th percentile) upper limit in [Mg/Fe]stat.error;stat.maxfloate_[Mg/Fe][-0.6/1] 1-sigma (16th percentile) lower limit in [Mg/Fe]stat.error;phys.abundfloateta[0.02/5.15]? Median average mass-loading factor (3)stat.fit.paramfloatnullableE_eta[0.2/8.8]? 1-sigma (84th percentile) upper limit in etastat.error;stat.maxfloatnullablee_eta[0/2.4]? 1-sigma (16th percentile) lower limit in etastat.error;phys.electron.degenfloatnullable