J/MNRAS/456/1294ivo://CDS.VizieR/J/MNRAS/456/1294doi:10.26093/cds/vizier.74561294CDSReeve D.C.Howarth I.D.2024-08-15T20:17:12Z2015-12-30T08:38:15ZCDS support team

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

cds-question@unistra.frastronomical-modelsstellar-atmospheresWe present grids of limb-darkening coefficients computed from non-LTE, line-blanketed TLUSTY model atmospheres, covering effective-temperature and surface-gravity ranges of 15-55kK and 4.75dex (cgs) down to the effective Eddington limit, at 2x, 1x, 0.5x (Large Magellanic Cloud), 0.2x (Small Magellanic Cloud), and 0.1x solar. Results are given for the Bessell UBVRI_C_JKHL, Sloan ugriz, Stromgren ubvy, WFCAM ZYJHK , Hipparcos, Kepler, and Tycho passbands, in each case characterized by several different limb-darkening 'laws'. We examine the sensitivity of limb darkening to temperature, gravity, metallicity, microturbulent velocity, and wavelength, and make a comparison with LTE models. The dependence on metallicity is very weak, but limb darkening is a moderately strong function of logg in this temperature regime.2016MNRAS.456.1294Rhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/456/1294CatalogResearchIsServedByTAP VizieR generic servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/456/1294https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/456/1294http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/456/1294https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/456/1294https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/456/1294http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/456/1294GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapdefaultJ/MNRAS/456/1294/summary1All linear and quadratic limb-darkening LDCs in condensed formrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintFileNameName of individual-model source file (G1)meta.id;meta.filecharFilterIdentifies filter passband (G2)instr.bandpasscharI(1)Surface-normal intensity in passband (in erg/cm^2^/s/{AA}/sr)10mW.m**-2.nm**-1.sr**-1spect.line.intensitydoublelin1.1I(1,fit)/I(1,model) for least-squares linear fit 1stat.fit.omcdoublelin1.2linear LDC 'u' for linear fit 1phot.limbDarkdoublelin2.1I(1,fit)/I(1,model) for least-squares linear fit 2stat.fit.omcdoublelin2.2linear LDC 'u' for linear fit 2phot.limbDarkdoublelinF.1I(1,fit)/I(1,model) for flux-conserving linear fitstat.fit.omcdoublelinF.2linear LDC 'u' for flux-conserving linear fitphot.limbDarkdoublequad2.1I(1,fit)/I(1,model) for least-squares quadratic fit 1stat.fit.omcdoublequad2.2quadratic LDC u1 for least-squares quadratic fit 1phot.limbDarkdoublequad2.3quadratic LDC u2 for least-squares quadratic fit 1phot.limbDarkdoublequad3.1I(1,fit)/I(1,model) for least-squares quadratic fit 2stat.fit.omcdoublequad3.2quadratic LDC u1 for least-squares quadratic fit 2phot.limbDarkdoublequad3.3quadratic LDC u2 for least-squares quadratic fit 2phot.limbDarkdoublequadF.1I(1,fit)/I(1,model) for flux-conserving quadratic fitstat.fit.omcdoublequadF.2quadratic LDC u1 for flux-conserving quadratic fitphot.limbDarkdoublequadF.3quadratic LDC u2 for flux-conserving quadratic fitphot.limbDarkdoubleJ/MNRAS/456/1294/summary2'Claret' 4-parameter LDCs in condensed formrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintFileNameName of individual-model source file (G1)meta.id;meta.filecharFilterIdentifies filter passband (G2)instr.bandpasscharI(1)Surface-normal intensity in passband (in erg/cm^2^/s/{AA}/sr)10mW.m**-2.nm**-1.sr**-1spect.line.intensitydoublea1.0I(1,fit)/I(1,model) for least-squares 4-coefficient fit 1stat.fit.omcdoublea1.1a1 coefficient for least-squares 4-coefficient fit 1phot.limbDarkdoublea1.2a2 coefficient for least-squares 4-coefficient fit 1phot.limbDarkdoublea1.3a3 coefficient for least-squares 4-coefficient fit 1phot.limbDarkdoublea1.4a4 coefficient for least-squares 4-coefficient fit 1phot.limbDarkdoublea2.0I(1,fit)/I(1,model) for least-squares 4-coefficient fit 2stat.fit.omcdoublea2.1a1 coefficient for least-squares 4-coefficient fit 2phot.limbDarkdoublea2.2a2 coefficient for least-squares 4-coefficient fit 2phot.limbDarkdoublea2.3a3 coefficient for least-squares 4-coefficient fit 2phot.limbDarkdoublea2.4a4 coefficient for least-squares 4-coefficient fit 2phot.limbDarkdouble