J/ApJS/210/1ivo://CDS.VizieR/J/ApJS/210/1doi:10.26093/cds/vizier.22100001CDSChaplin W.J.Basu S.Huber D.Serenelli A.Casagrande L.,Silva Aguirre V.Ball W.H.Creevey O.L.Gizon L.Handberg R.,Karoff C.Lutz R.Marques J.P.Miglio A.Stello D.Suran M.D.,Pricopi D.Metcalfe T.S.Monteiro M.J.P.F.G.Molenda-Zakowicz J.,Appourchaux T.Christensen-Dalsgaard J.Elsworth Y.Garcia R.A.,Houdek G.Kjeldsen H.Bonanno A.Campante T.L.Corsaro E.Gaulme P.,Hekker S.Mathur S.Mosser B.Regulo C.Salabert D.2017-06-26T11:50:12Z2014-02-07T10:29:07ZCDS support team

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

cds-question@unistra.frmetallicityeffective-temperaturestellar-massesstellar-agesWe use asteroseismic data obtained by the NASA Kepler mission to estimate the fundamental properties of more than 500 main-sequence and sub-giant stars. Data obtained during the first 10 months of Kepler science operations were used for this work, when these solar-type targets were observed for one month each in survey mode. Stellar properties have been estimated using two global asteroseismic parameters and complementary photometric and spectroscopic data. Homogeneous sets of effective temperatures, T_eff_, were available for the entire ensemble from complementary photometry; spectroscopic estimates of T_eff_ and [Fe/H] were available from a homogeneous analysis of ground-based data on a subset of 87 stars. We adopt a grid-based analysis, coupling six pipeline codes to 11 stellar evolutionary grids. Through use of these different grid-pipeline combinations we allow implicitly for the impact on the results of stellar model dependencies from commonly used grids, and differences in adopted pipeline methodologies. By using just two global parameters as the seismic inputs we are able to perform a homogeneous analysis of all solar-type stars in the asteroseismic cohort, including many targets for which it would not be possible to provide robust estimates of individual oscillation frequencies (due to a combination of low signal-to-noise ratio and short dataset lengths). The median final quoted uncertainties from consolidation of the grid-based analyses are for the full ensemble (spectroscopic subset) approximately 10.8% (5.4%) in mass, 4.4% (2.2%) in radius, 0.017 dex (0.010 dex) in log g, and 4.3% (2.8%) in mean density. Around 36% (57%) of the stars have final age uncertainties smaller than 1 Gyr. These ages will be useful for ensemble studies, but should be treated carefully on a star-by-star basis. Future analyses using individual oscillation frequencies will offer significant improvements on up to 150 stars, in particular for estimates of the ages, where having the individual frequency data is most important.2014ApJS..210....1Chttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/210/1CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toV/133 : Kepler Input Catalog (Kepler Mission Team, 2009)J/ApJS/199/30 : Eff. temperature scale for KIC stars (Pinsonneault+, 2012)J/MNRAS/423/122 : Abundances of 93 solar-type Kepler targets (Bruntt+, 2012)J/A+A/547/A36 : Chemical abundances of 87 KOIs (Adibekyan++, 2012)J/ApJ/749/152 : Asteroseismic analysis of 22 solar-type stars (Mathur+, 2012)J/A+A/534/A125 : Var. of A- and F-stars from Kepler (Uytterhoeven+ 2011)J/MNRAS/412/1210 : Kepler asteroseismic targets (Molenda-Zakowicz+, 2011)J/ApJ/729/L10 : KIC stars properties in NGC 6791 and NGC 6819 (Basu+, 2011)J/A+A/517/A3 : Kepler early-type targets stellar param. (Catanzaro+, 2010)J/ApJ/718/L97 : Early asteroseismic results from Kepler (Van Grootel+, 2010)J/A+A/512/A54 : Teff and Fbol from Infrared Flux Method (Casagrande+, 2010)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/210/1https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/210/1http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJS/210/1https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJS/210/1https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJS/210/1http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJS/210/1GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJS/210/1/table1 (*Seismic and non-seismic input parameters for the full cohort, with photometric SDSS-calibrated and IRFM T_eff_ and field-average [Fe/H])https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJS/210/1/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJS/210/1/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJS/210/1/table1?GETtext/xml+votable180.050000true290.8884337.089358890.0055555555555555564/923 5/3645 3646 3647 3690 3706 3732 3733 3734 3740 3741 3743 3776 3779 3780 3782 3783 3784 3785 3786 3792 6/14573 14575 14577 14578 14579 14733 14734 14735 14738 14744 14746 14751 14752 14753 14754 14756 14757 14759 14765 14766 14767 14792 14794 14816 14818 14819 14828 14830 14915 14917 14918 14919 14921 14922 14923 14924 14925 14926 14941 14942 14943 14945 14946 14947 14948 14950 14951 14952 14953 14955 14956 14958 14959 14968 14969 14971 15041 15044 15057 15060 15061 15062 15108 15109 15110 15112 15113 15115 15124 15126 15127 15149 15153 15155 15156 15157 15158 15172 15173 15174 15178 15200 15232https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJS/210/1?format=asciidefaultJ/ApJS/210/1/table1*Seismic and non-seismic input parameters for the full cohort, with photometric SDSS-calibrated and IRFM T_eff_ and field-average [Fe/H]recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintKICKepler identifier (Cat. V/133)meta.id;meta.mainintprimarySSimbad column added by the CDSmeta.ref.urlcharnumax[250/3481]? Frequency of maximum oscillations poweruHzem.freq;src.varintnullablee_numax? Uncertainty in numaxuHzstat.errorintnullableDnu[17/174] Average large frequency separationuHzem.freq;src.varfloate_DnuUncertainty in DnuuHzstat.errorfloatT(SDSS)[4814/7149]? SDSS derived effective temperatureKphys.temperature.effectiveintnullablee_T(SDSS)? Uncertainty in T(SDSS)Kstat.errorintnullableT(IRFM)[4801/7066]? IR Flux Method derived effective temperatureKphot.flux;em.IRintnullablee_T(IRFM)? Uncertainty in T(IRFM)Kstat.errorintnullable[Fe/H][-0.2] Field-averaged metallicityphys.abund.Zfloate_[Fe/H][0.3] Uncertainty in [Fe/H]stat.error;phys.abund.FefloatKICdataDisplay the KIC data (V/133)meta.ref.urlcharSimbadSimbad column added by the CDSmeta.ref.urlchar_RAPositions from the KIC catalog (Cat. V/133) (right ascension part)degpos.eq.ra;meta.main_DEPositions from the KIC catalog (Cat. V/133) (declination part)degpos.eq.dec;meta.mainJ/ApJS/210/1/specSeismic and non-seismic parameters and stellar properties (tables 2 and 6) for the sample with spectroscopic Teff and [Fe/H] from Bruntt et al., Cat. J/MNRAS/423/122recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintKICKepler identifiermeta.id;meta.mainintnumax[277/3481]? Frequency of maximum oscillations poweruHzem.freq;src.varintnullablee_numax? Uncertainty in numaxuHzstat.errorintnullableDnu[20/154] Average large frequency separationuHzem.freq;src.varfloate_DnuUncertainty in DnuuHzstat.errorfloatTeff[5094/6892] Effective temperatureKphys.temperature.effectiveinte_TeffUncertainty in TeffKstat.error;phys.temperature.effectiveint[Fe/H][-1.2/0.5] Metallicity; [Fe/H]phys.abund.Fefloate_[Fe/H][0.09] Uncertainty in [Fe/H]stat.error;phys.abund.FefloatMass[0.8/2]? MasssolMassphys.massfloatnullableE_Mass? Upper uncertainty in MasssolMassstat.error;stat.maxfloatnullablee_Mass? Lower uncertainty in MasssolMassstat.error;phys.massfloatnullableRad[0.8/5]? RadiussolRadphys.size.radiusfloatnullableE_Rad? Upper uncertainty in RadsolRadstat.error;stat.maxfloatnullablee_Rad? Lower uncertainty in RadsolRadstat.errorfloatnullablerho[0.01/1.7]? Density relative to {rho}_{sun}_log(Sun)phys.densityfloatnullableE_rho? Upper uncertainty in rholog(Sun)stat.error;stat.maxfloatnullablee_rho? Lower uncertainty in rholog(Sun)stat.errorfloatnullablelog(g)[3.3/4.6]? Log of surface gravitylog(cm.s**-2)phys.gravityfloatnullableE_log(g)? Upper uncertainty in log(g)log(cm.s**-2)stat.error;stat.maxfloatnullablee_log(g)? Lower uncertainty in log(g)log(cm.s**-2)stat.errorfloatnullableAge[0.3/14]? AgeGyrtime.agefloatnullableE_Age? Upper uncertainty in AgeGyrstat.error;stat.maxfloatnullablee_Age? Lower uncertainty in AgeGyrstat.error;time.agefloatnullableB12results from Bruntt et al. 2012, Cat. J/MNRAS/423/122meta.ref.urlcharJ/ApJS/210/1/paramPhysical parameters derived for the solar-type starsrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintKICKelper identifiermeta.id;meta.mainintprimaryPSimbad column added by the CDSmeta.notecharMass[0.8/2]? MasssolMassphys.massfloatnullableE_Mass? Upper uncertainty in MasssolMassstat.error;stat.maxfloatnullablee_Mass? Lower uncertainty in MasssolMassstat.error;phys.massfloatnullableRad[0.8/5]? RadiussolRadphys.size.radiusfloatnullableE_Rad? Upper uncertainty in RadsolRadstat.error;stat.maxfloatnullablee_Rad? Lower uncertainty in RadsolRadstat.errorfloatnullablerho[0.01/1.7]? Density relative to {rho}_{sun}_log(Sun)phys.densityfloatnullableE_rho? Upper uncertainty in rholog(Sun)stat.error;stat.maxfloatnullablee_rho? Lower uncertainty in rholog(Sun)stat.errorfloatnullablelog(g)[3.3/4.6]? Log of surface gravitylog(cm.s**-2)phys.gravityfloatnullableE_log(g)? Upper uncertainty in log(g)log(cm.s**-2)stat.error;stat.maxfloatnullablee_log(g)? Lower uncertainty in log(g)log(cm.s**-2)stat.errorfloatnullableAge[0.3/14]? AgeGyrtime.agefloatnullableE_Age? Upper uncertainty in AgeGyrstat.error;stat.maxfloatnullablee_Age? Lower uncertainty in AgeGyrstat.error;time.agefloatnullable