J/MNRAS/494/3342ivo://CDS.VizieR/J/MNRAS/494/3342doi:10.26093/cds/vizier.74943342CDSLorenzo-Gutierrez A.Alfaro E.J.Maiz Apellaniz J.Barba R.H.,Marin-Franch A.Ederoclite A.Cristobal-Hornillos D.Varela J.,Vazquez Ramio H.Cenarro A.J.Lennon D.J.Garcia-Lario P.Daflon S.,Borges Fernandes M.2024-09-02T20:15:54Z2023-07-28T15:04:54ZCDS support team

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

cds-question@unistra.frmilky-way-galaxyeffective-temperaturemetallicityextinctionvisible-astronomyastronomical-modelsIn this paper, we analyse how to extract the physical properties from the GALANTE photometry of a stellar sample. We propose a direct comparison between the observational colours (photometric bands normalized to the 515nm central wavelength) and the synthetic colours derived from different stellar libraries. We use the reduced {chi}^2^ as the figure of merit for selecting the best fitting between both colour sets. The synthetic colours of the Next Generation Spectral Library (NGSL) provide a valuable sample for testing the uncertainty and precision of the stellar parameters derived from observational data. Reddening, as an extrinsic stellar physical parameter becomes a crucial variable for accounting for the errors and bias in the derived estimates: the higher the reddenings, the larger the errors and uncertainties in the derived parameters. NGSL colours also enable us to compare different theoretical stellar libraries for the same set of physical parameters, where we see how different catalogues of models can provide very different solutions in a, sometimes, non-linear way. This peculiar behaviour makes us to be cautious with the derived physical parameters obtained from GALANTE photometry without previous detailed knowledge of the theoretical libraries used to this end. In addition, we carry out the experiment of deriving physical stellar parameters from some theoretical libraries, using some other libraries as observational data. In particular, we use the Kurucz and Coelho libraries, as input observational data, to derive stellar parameters from Coelho + TLUSTY and Kurucz + TLUSTY stellar libraries, respectively, for different photometric errors and colour excesses.2020MNRAS.494.3342Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/494/3342CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/494/3342https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/494/3342http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/494/3342https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/494/3342https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/494/3342http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/494/3342GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/494/3342/tablea1 (NGSL table)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/494/3342/tablea1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/494/3342/tablea1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/494/3342/tablea1?GETtext/xml+votable180.050000true247.569925810.99770890.0055555555555555566/49 137 351 428 811 819 915 987 1293 1408 1603 1642 1696 1749 1873 2460 2499 2664 2678 2737 2746 2970 2973 3026 3199 3266 3395 3430 3639 3678 3718 3777 3865 4091 4095 4191 4206 4286 4298 4419 4512 4698 4820 4846 5420 5490 5531 5534 5622 5624 5805 6082 6153 6160 6183 6472 6601 6728 6776 7177 7240 7413 7683 7746 8009 8068 8296 8476 8510 8671 8803 8926 9048 9054 9520 9680 9717 9753 9792 9836 9847 10055 10375 10504 10595 10696 10783 11250 11441 11473 11599 11636 11722 11806 11929 11959 12056 12082 12179 12396 12477 12544 12934 13025 13114 13148 13238 13301 13332 14151 14209 14419 14522 14630 14690 14734 14767 14875 14931 14968 15021 15364 15530 15628 15850 15901 15937 15980 16069 16213 16629 16834 17028 17266 17395 17576 18028 18035 18204 18821 18978 19099 19113 19179 19448 19676 19924 20322 20532 20661 21099 21233 21389 21438 21515 21723 22106 22184 22211 22518 22773 22868 23190 23230 23323 23421 23592 23637 23922 23974 24151 24179 24565 24793 24839 24866 24924 25051 25278 25444 25789 25875 25919 26304-26305 27033 27088 27143 27498 27641 27694 27871 28006 28208 28252 28491 28915 29138 29490 30064 30078 30167 30175 30188 30257 30304 30307 30315 30330 30374 30404 30411 30434 30450 30456 30659 30709 30878 30893 30939 30958 30970 31011 31101 31284 31448 31488 31683 31686 31751-31752 31756 31767 31769 31794-31795 32019 32140 32181 32580 32621 32731 33018 33027 34181 36035 36526 36651 36664 36697 37664 37843 37932 39413 39709 39745 39853 39888 39893 39907 39916 39923 40336 40580 40716 40795 40882 41247 41659 42081 43127 43720 44499 44669 44816 44860 44883 46776 47337 47930 48299 48525 48731 48767 48856 49142https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/494/3342?format=asciiOpticaldefaultJ/MNRAS/494/3342/tablea1NGSL tableSimbadNameSimbad column added by the CDSmeta.idcharnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNameStar namemeta.id;meta.mainchariTeffInput effective temperatureKphys.temperature.effectiveintoTeffOutput effective temperatureKphys.temperature.effectiveintiloggInput surface gravitylog(cm.s**-2)phys.gravityfloatologgOutput surface gravitylog(cm.s**-2)phys.gravityfloati[Fe/H]Input Fe/H abundance ratiophys.abund.Fe;arith.ratiofloato[Fe/H]Output Fe/H abundance ratiophys.abund.Fe;arith.ratiofloatiE(B-V)Input (B-V) color excessmagphot.color.excessfloatoE(B-V)Output (4405-5495) color excessmagphot.color.excessfloatchi2Reduced chi-squaredstat.fit.chi2float_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.main