J/A+A/693/A306ivo://CDS.VizieR/J/A+A/693/A306doi:10.26093/cds/vizier.36930306CDSFerriera Lopes C.E.Gutierrez-Soto L.A.Ferreira Alberice V.S.,Monsalves N.Hazarika D.Catelan M.Placco V.M.Limberg G.,Almeida-Fernandes F.Perottoni H.D.Smith Castelli A.V.Akras S.,Alonso-Garcia J.Cordeiro V.Jaque Arancibia M.Daflon S.Dias B.,Goncalves D.R.Machado-Pereira E.Lopes A.R.Bom C.R.,Thom de Souza R.C.de Isidio N.G.Alvarez-Candal A.De Rossi M.E.,Bonatto C.J.Cubillos Palma B.Borges Fernandes M.Humire P.K.,Oliveira Schwarz G.B.Schoenell W.Kanaan A.Mendes de Oliveira C.2025-03-03T20:01:37Z2025-01-28T10:46:06ZCDS support team

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

cds-question@unistra.frsurveysvisible-astronomysloan-photometrychemical-abundanceseffective-temperatureThe APOGEE, GALAH, and LAMOST spectroscopic surveys have substantially contributed to our understanding of the Milky Way by providing a wide range of stellar parameters and chemical abundances. Complementing these efforts, photometric surveys that include narrow/medium-band filters, such as the Southern Photometric Local Universe Survey (S-PLUS), provide a unique opportunity to estimate atmospheric parameters and elemental abundances for a much larger number of sources compared to spectroscopic surveys. Establish methodologies for extracting stellar atmospheric parameters and selected chemical abundances from S-PLUS photometric data, which cover approximately 3000 square degrees, by applying seven narrowband and five broad-band filters. We used all 66 S-PLUS colors to estimate parameters based on three different training samples from the LAMOST, APOGEE, and GALAH surveys, applying Cost-Sensitive Neural Network (NN) and Random Forest (RF) algorithms. We kept stellar abundances that lacked corresponding absorption features in the S-PLUS filters to test for spurious correlations in our method. Furthermore, we evaluated the effectiveness of the NN and RF algorithms by using estimated Teff and log g as input features to determine other stellar parameters and abundances. The NN approach consistently outperforms the RF technique on all parameters tested. Moreover, incorporating Teff and log g leads to an improvement in the estimation accuracy by approximately 3%. We kept only parameters with a goodness-of-fit higher than 50%. Our methodology allowed reliable estimates for fundamental stellar parameters (Teff , log g, and [Fe/H]) and elemental abundance ratios such as [alpha/Fe], [Al/Fe], [C/Fe], [Li/Fe], and [Mg/Fe] for approximately 5 million stars across the Milky Way, with goodness-of-fit above 60%. We also obtained additional abundance ratios, including [Cu/Fe], [O/Fe], and [Si/Fe]. However, these ratios should be used cautiously due to their low accuracy or lack of a clear relationship with the S-PLUS filters. Validation of our estimations and methods was performed using star clusters, TESS (Transiting Exoplanet Survey Satellite) data, and J-PLUS (Javalambre Photometric Local Universe Survey) photometry, further demonstrating the robustness and accuracy of our approach. By leveraging S-PLUS photometric data and advanced machine-learning techniques, we have established a robust framework for extracting fundamental stellar parameters and chemical abundances from medium- and narrowband photometric observations. This approach offers a cost-effective alternative to high-resolution spectroscopy, and the estimated parameters hold significant potential for future studies, particularly in classifying objects within our Milky Way or gaining insights into its various stellar populations.2025A&A...693A.306Fhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/693/A306CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/693/A306https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/693/A306http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/693/A306https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/693/A306https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/693/A306http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/693/A306GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/693/A306/giantdr4 (SPLUS DR4 VAC - Predicted Parameters for Giants)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/693/A306/giantdr4?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/693/A306/giantdr4?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/693/A306/giantdr4?GETtext/xml+votable180.050000true307.9902231-0.30220190.005555555555555556Cone search capability for table J/A+A/693/A306/dwarfdr4 (SPLUS DR4 VAC - Predicted Parameters for Dwarfs)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/693/A306/dwarfdr4?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/693/A306/dwarfdr4?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/693/A306/dwarfdr4?GETtext/xml+votable180.050000true189.5001277-13.14213160.0055555555555555563/394 530 536-537 539-540 604 607 4/1109-1110 1113-1114 1125-1126 1129-1130 1173-1174 1177-1178 1189-1190 1193-1194 1296-1297 1352 1449-1450 1565-1566 1570-1574 1580 1582 1601-1604 1606-1607 1642 1664-1666 1672 1675 1685 1877-1878 2061-2062 2065-2070 2079 2081-2082 2101 2124 2126-2127 2138 2153 2155 2164 2168 2207 2223 2227-2228 2230 2232 2234 2241 2243-2244 2248 2366 2383 2394-2395 2404-2405 2407 2420 2422-2425 2427 2485-2487 2490 2516-2517 2519 2922 2937 3009 3014 3021 5/0 2057-2059 3072 4111 4115-4118 4120-4122 4131-4134 4136-4138 4351 4415 4431 4435 4444 4451 4460 4464 4495 4499 4508 4515 4524 4528 4544 4671 4687 4691 4700 4707 4716 4720 4749-4751 4754-4755 4764 4771 4780 4784 4800 4864 5193 5195-5196 5198-5199 5202 5205 5213 5217 5220 5222-5223 5229-5231 5237 5239 5242 5317 5328-5329 5412 5414 5417 5775 5784 5786-5787 5795 5804 5808 6201-6204 6206-6207 6213 6224 6233-6235 6238-6239 6257 6259 6268 6277-6279 6300-6302 6336 6338-6342 6352 6370 6397-6399 6403 6422 6432-6433 6436-6437 6448-6449 6453 6455 6474 6496-6497 6519 6548-6549 6561-6563 6566 6572 6668 6670 6672 6692 6694-6695 6697 6714 6737 6739 6748 6789 6800 6809 6814 6912 7503 7507 7516 7524-7525 7527 7536 8221 8223 8237-8239 8241 8243 8252-8254 8257-8259 8284-8286 8288-8290 8304-8305 8311 8315 8322-8323 8332-8334 8336-8338 8352-8354 8400-8401 8403 8408 8413 8415 8421 8448-8450 8502-8503 8546-8547 8550 8556 8558-8559 8570 8608-8609 8611 8617 8619 8664 8676 8680 8736 8773 8793 8796 8798 8823 8827 8836 8887 8903 8907 8916 8918 8924 8932-8934 8944 8961 8963 8969 8971 8980 8984 8996 9000 9215 9346 9352 9354 9376 9378 9384 9386 9422-9423 9458 9468 9527 9531 9570-9571 9574 9594 9607 9624-9625 9653 9686 9705 9728 9730 9798 9813 9815 9821 9823 9844 9846-9847 9852-9853 9855 9886-9887 9909 9911 9919 9924-9925 9927 9933-9935 9939 9952 9954-9958 9964 9966 9968-9970 9975-9976 9980 9982 9986 9992 9994 10018 10024 10026 10053 10073 10101 10112 10144 10997 11000 11070 11139 11183 11194 11463 11482 11507 11510 11516-11517 11519 11535 11542 11552 11627 11635 11647 11655 11657 11659 11694 11711 11727 11731-11733 11736-11738 11747 11752-11754 11756-11757 11759 11768 11770 12032-12033 12035 12044-12045 12047-12048 12050-12054 12060 12062-12063 12080-12081 12083 12093 12095 12101 12287 6/4 8 8227 8240 8242 8248 8321 8324 12292 12296 16439 16443 16455 16459 16476 16478 16492-16494 16496-16498 16519 16523 16540-16542 16556-16558 16560-16562 16576-16578 16640-16642 16644-16645 16647 16656 16658 16896-16898 17097-17100 17102 17121 17124 17399 17401-17403 17655 17659 17719 17723 17735 17739 17780 17784 17799 17803 17844 17848 17860 17864 17975 17979 17991 17995 18036 18040 18055 18059 18100 18104 18116 18120 18180 18184 18677-18679 18681-18683 18741-18743 18746-18747 18757-18759 18761-18763 18804 18808 18821-18823 18826-18827 18868 18872 18884 18888 18973-18975 18989 18991 18993-18995 19010 19013-19015 19060 19064 19079 19083 19124 19128 19140 19144 19204 19208 19460 19464 20565 20567 20573 20768-20769 20771 20777 20779 20790-20791 20812 20814-20815 20817 20819 20829-20831 20833 20836 20849 20851 20860-20861 20865 20877-20879 20884 20901 20912 20914-20915 20947 20960 20962-20964 20966-20967 20972-20973 20989 20991 21267 21273 21276-21278 21321 21324-21325 21327 21330 21333 21336 21504 21506 21512 21514 21536 21538 21547-21548 21550-21551 21562 21654 21660 21664-21665 21672 21674-21675 21680 22016 23095 23099 23140 23142-23143 23175 23179 23220 23224 23236 23240 24767 24783 24794 24803 24820 24822-24823 24861 24900 24902 24904-24905 24931 24944 24946-24947 24949-24951 25000 25002-25003 25013 25015 25017-25019 25021-25023 25025 25033-25035 25076 25080 25099-25100 25102-25103 25107 25212-25213 25296 25298 25304 25309 25349-25351 25372-25373 25376-25378 25380 25384 25412 25416 25474-25475 25565-25567 25581-25583 25585-25587 25605-25607 25609-25611 25680 25682-25683 25694-25695 25736-25737 25739-25741 25752-25753 25756-25757 25800-25802 25804-25805 25808-25810 25817 25819 25849-25851 25854 25888 25890-25891 25902 25992-25993 25996-25997 25999 26002 26008 26011 26014 26032-26033 26035-26036 26038 26067 26070-26071 26073 26158-26159 26181 26201 26204-26206 26241-26243 26256 26258-26259 26268 26270-26271 26292-26294 26296-26298 26370 26676 26678-26679 26684 26686 26692 26696 26772 26774-26775 26784-26785 26787 26797 26799 26826 26850 26945-26947 26952-26953 26955 26980-26981 26983 26996-26998 27000-27001 27152-27153 27155 27165 27208 27214-27215 27245 27248 27250-27251 27260 27262-27263 27345 27348-27350 27652-27654 27656-27658 30007 30011 30023 30027 30068 30072 30087 30104-30105 30107 30148 30152 32863 32879 32883 32889-32891 32927 32943 32963 32969-32971 33020 33027 33148-33150 33164 33168 33184 33232-33234 33237-33239 33241-33243 33253-33255 33257-33259 33283 33285-33287 33340 33356 33360 33376 33420 33424 33591 33597 33599 33608-33609 33611 33636 33638 33640-33641 33649 33657-33659 33709-33711 33717-33720 33722 33724-33725 33727-33728 33733 33735 33744-33746 33760 33762 33770 33804-33806 33808-33810 33824-33826 33833-33836 33838-33839 33850-33851 33854 34000 34002-34003 34006-34007 34178-34179 34182-34183 34194-34195 34229-34231 34272 34274-34275 34284 34286 34441 34443 34467 34473 34475 34640 34642 34648 34650 34660-34662 34664-34666 34708-34710 34712-34714 34724-34726 34728-34730 34857-34859 34952 35077 35088 35111 35117 35120 35122-35123 35128 35136 35138 35145-35147 35150 35168-35169 35171 35180-35181 35183 35280 35285-35287 35289-35291 35301-35303 35305-35307 35352-35354 35387 35390-35391 35431 35437 35440 35442-35443 35448 35473 35475-35478 35541-35543 35545-35547 35557-35559 35564-35565 35567 35605-35607 35609-35611 35621-35623 35625-35627 35668-35670 35678 35700 35702 35704-35705 35740-35742 35760-35762 35770 35780-35781 35784-35786 35843 35881-35883 35924-35926 35928-35930 35940-35942 35944-35945 35988-35990 35992-35994 36004-36006 36008-36010 36855 36859 37420 37422 37508 37510 37516 37518 37540 37542 37548 37550-37551 37669-37671 37676-37677 37680 37682-37683 37686 37738 37765 37776-37778 37780-37781 37783 37788-37789 37791 37813-37815 37820-37821 37823 37826-37827 37836 37838 37880 37882-37883 38102-38103 38105-38107 38117-38119 38121-38123 38274-38275 38278 38302-38303 38368 38370 38380 38382 38421-38423 38425-38427 38453 38509 38511 38608-38609 38621 38623 38738 38748 38750 38817 38819 38828-38829 38916-38918 38924 38926 38944-38946 39129-39131 39134 39152-39154 39181 39183 39186 39189-39191 39197 39205 39216 39232 39234 39237 39239 39283 39289 39291 39315-39316 39318 39320-39321 39323-39324 39354-39355 39357-39359 39368-39369 39371 39373-39375 39380 39382-39383 39396-39397 39399 39401-39404 39406-39407 39417-39419 39537-39540 39542 39633-39635 39641 39669 39671 39685 39687 39722 39731 39745-39746 39749-39751 39753-39755 39814-39815 39837-39839 39862-39863 39870-39871 39884-39886 39888-39890 39893-39895 39897-39899 39909-39913 39916-39917 39924 39934 39936 39938-39939 39950 39972 39974 39980 40078 40100-40102 40108-40110 40208-40209 40221 40289 40300-40301 40303 40400-40401 40412-40413 40415 40452 40454 40456-40457 40459-40462 40480 40482 40488 40490-40491 43959 43964-43965 43967 43979 43982 43987 43996-43997 44004-44006 44008 44010-44011 44014 44235 44238 44256-44257 44259-44260 44262-44263 44269 44274-44275 44286 44551 44560 44562-44563 44568-44570 44581 44624-44625 44674 44726 44729-44731 44780 44782-44783 45525 45527 45846-45847 45849 45851 45873 45875-45878 45887 45890 45896 45946 46016 46019 46021-46023 46025 46032-46034 46044 46046-46047 46052-46053 46055 46072-46073 46075 46101 46122-46123 46126-46127 46139 46144-46145 46148 46159 46163 46166 46172 46184 46186 46212-46214 46228-46229 46267 46270-46271 46415 46426-46427 46437 46448-46450 46503 46520 46522 46537 46539 46561 46564 46583 46587 46609 46612-46614 46617 46619 46627 46640 46642 46650 46664 46724-46725 46736 46780 46782 46830 46839 46843 46903 46907 46919 46923 46936-46938 46940-46942 46956-46958 46960-46962 46987 47020-47022 47032-47033 47035 47040-47042 47047-47048 47050 47053 47058-47059 47064-47066 47078 47084 47086 47445 47447 48137 48164-48165 48185 48196 48198-48199 48220-48222 48246-48247 48277 48279 48357 48368-48369 48371 48377 48379 48384-48386 48400-48401 48403 48423 48429 48431 48434-48435 48438-48442 48444-48446 48448-48450 48522 48544 48546 48552 48554 48725 49143 49147https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/693/A306?format=asciiOpticaldefaultJ/A+A/693/A306/giantdr4SPLUS DR4 VAC - Predicted Parameters for Giants[C/Fe]APOAbundance ratio of Carbon to Iron, calculated using APOGEE training set (CFe_APO)phys.abundfloatf_[C/Fe]APO[33/100] Indicating % of features within the training set range, with 100 for all features within range (CFe_APO_FL)%meta.codeint[Li/Fe]GALAbundance ratio of Lithium to Iron, calculated using GALAH training set (LiFe_GAL)phys.abundfloatf_[Li/Fe]GAL[5/100] Indicating % of features within the training set range, with 100 for all features within range (LiFe_GAL_FL)%meta.codeint[Mg/Fe]APOAbundance ratio of Magnesium to Iron, calculated using APOGEE training set (MgFe_APO)phys.abundfloatf_[Mg/Fe]APO[33/100] Indicating % of features within the training set range, with 100 for all features within range (MgFe_APO_FL)%meta.codeint[Cu/Fe]GALAbundance ratio of Copper to Iron, calculated using GALAH training set (CuFe_GAL)phys.abundfloatf_[Cu/Fe]GAL[7/100] Indicating % of features within the training set range, with 100 for all features within range (CuFe_GAL_FL)%meta.codeint[O/Fe]APOAbundance ratio of Oxygen to Iron, calculated using APOGEE training set (OFe_APO)phys.abundfloatf_[O/Fe]APO[33/100] Indicating % of features within the training set range, with 100 for all features within range (OFe_APO_FL)%meta.codeint[Si/Fe]APOAbundance ratio of Silicon to Iron, calculated using APOGEE training set (SiFe_APO)phys.abundfloatf_[Si/Fe]APO[33/100] Indicating % of features within the training set range, with 100 for all features within range (SiFe_APO_FL)%meta.codeintTeffGALEffective temperature of the source, calculated using GALAH training set (Teff_GAL)Kphys.temperature.effectivedoublef_TeffGAL[6/100] Indicating % of features within the training set range, with 100 for all features within range (Teff_GAL_FL)%meta.codeintTeffAPOEffective temperature of the source, calculated using APOGEE training set (Teff_APO)Kphys.temperature.effectivedoublef_TeffAPO[31/100] Indicating % of features within the training set range, with 100 for all features within range (Teff_APO_FL)%meta.codeintloggGALLogarithm of the surface gravity, calculated using GALAH training set (logg_GAL)log(cm.s**-2)phys.gravityfloatf_loggGAL[6/100] Indicating % of features within the training set range, with 100 for all features within range (logg_GAL_FL)meta.codeintloggAPOLogarithm of the surface gravity, calculated using APOGEE training set (logg_APO)log(cm.s**-2)phys.gravityfloatf_loggAPO[31/100] Indicating % of features within the training set range, with 100 for all features within range (logg_APO_FL)meta.codeintTeffGaiaEffective temperature of the source from GAIA DR3 catalog (Teff_GAIA)Kphys.temperature.effectivedouble[Fe/H]GaiaAbundance ratio of Iron to Hydrogen from GAIA DR3 catalog (FeH_GAIA)phys.abund.FefloatDistGaiaDistance from GAIA DR3 catalog (Dist_GAIA)pcpos.distancedoubleumagPhotometric measurement in the uJAVA filter, corresponding to the u-band (U)magphot.mag;em.opt.Ufloate_umagError or uncertainty associated with the uJAVA filter measurement (eU)magstat.error;phot.magfloatJ378Photometric measurement in the J0378 filter (J378)magphot.mag;em.optfloate_J378Error or uncertainty associated with the J0378 filter measurement (eJ378)magstat.errorfloatJ395Photometric measurement in the J0395 filter (J395)magphot.mag;em.optfloate_J395Error or uncertainty associated with the J0395 filter measurement (eJ395)magstat.errorfloatJ410Photometric measurement in the J0410 filter (J410)magphot.mag;em.optfloate_J410Error or uncertainty associated with the J0410 filter measurement (eJ410)magstat.errorfloatJ430Photometric measurement in the J0430 filter (J430)magphot.mag;em.optfloate_J430Error or uncertainty associated with the J0430 filter measurement (eJ430)magstat.errorfloatgmagPhotometric measurement in the gSDSS filter, corresponding to the g-band (G)magphot.mag;em.opt.Bfloate_gmagError or uncertainty associated with the gSDSS filter measurement (eG)magstat.error;phot.magfloatJ515Photometric measurement in the J0515 filter (J515)magphot.mag;em.optfloate_J515Error or uncertainty associated with the J0515 filter measurement (eJ515)magstat.errorfloatrmagPhotometric measurement in the rSDSS filter, corresponding to the r-band (R)magphot.mag;em.opt.Rfloate_rmagError or uncertainty associated with the rSDSS filter measurement (eR)magstat.error;phot.magfloatJ660Photometric measurement in the J0660 filter (J660)magphot.mag;em.optfloate_J660Error or uncertainty associated with the J0660 filter measurement (eJ660)magstat.errorfloatimagPhotometric measurement in the iSDSS filter, corresponding to the i-band (I)magphot.mag;em.opt.Ifloate_imagError or uncertainty associated with the iSDSS filter measurement (eI)magstat.error;phot.magfloatJ861Photometric measurement in the J0861 filter (J861)magphot.mag;em.optfloate_J861Error or uncertainty associated with the J0861 filter measurement (eJ861)magstat.errorfloatzmagPhotometric measurement in the zSDSS filter, corresponding to the z-band (Z)magphot.mag;em.opt.Ifloate_zmagError or uncertainty associated with the zSDSS filter measurement (eZ)magstat.error;phot.magfloatIDUnique identifier for each celestial source (ID)meta.id;meta.maincharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintf_[Fe/H]GAL[7/100] Indicating % of features within the training set range, with 100 for all features within range (FeH_GAL_FL)%meta.codeintloggGaiaLogarithm of the surface gravity from GAIA DR3 catalog (logg_GAIA)log(cm.s**-2)phys.gravityfloatRAJ2000Right Ascension coordinate of the source (J2000) (RA)degpos.eq.ra;meta.mainindexedDEJ2000Declination coordinate of the source (J2000) (DEC)degpos.eq.dec;meta.mainindexed[Fe/H]APOAbundance ratio of Iron to Hydrogen, calculated using APOGEE training set (FeH_APO)phys.abund.Fefloatf_[Fe/H]APO[33/100] Indicating % of features within the training set range, with 100 for all features within range (FeH_APO_FL)%meta.codeint[Fe/H]GALAbundance ratio of Iron to Hydrogen, calculated using GALAH training set (FeH_GAL)phys.abund.Fefloat[alpha/Fe]MAPOAbundance ratio of Alpha elements to Iron, calculated using APOGEE training set (AlphaM_APO)phys.abundfloatf_[alpha/Fe]MAPO[33/100] Indicating % of features within the training set range, with 100 for all features within range (AlphaM_APO_FL)%meta.codeint[Al/Fe]APOAbundance ratio of Aluminium to Iron, calculated using APOGEE training set (AlFe_APO)phys.abundfloatf_[Al/Fe]APO[32/100] Indicating % of features within the training set range, with 100 for all features within range (AlFe_APO_FL)%meta.codeintJ/A+A/693/A306/dwarfdr4SPLUS DR4 VAC - Predicted Parameters for DwarfsrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDUnique identifier for each celestial source (ID)meta.id;meta.maincharRAJ2000Right Ascension coordinate of the source (J2000) (RA)degpos.eq.ra;meta.mainindexedDEJ2000Declination coordinate of the source (J2000) (DEC)degpos.eq.dec;meta.mainindexed[Fe/H]APOAbundance ratio of Iron to Hydrogen, calculated using APOGEE training set (FeH_APO)phys.abund.Fefloatf_[Fe/H]APO[2/100] Indicating % of features within the training set range, with 100 for all features within range (FeH_APO_FL)%meta.codeint[Fe/H]GALAbundance ratio of Iron to Hydrogen, calculated using GALAH training set (FeH_GAL)phys.abund.Fefloatf_[Fe/H]GAL[1/100] Indicating % of features within the training set range, with 100 for all features within range (FeH_GAL_FL)%meta.codeint[Fe/H]LMRAbundance ratio of Iron to Hydrogen, calculated using LAMOST training set (FeH_LMR)phys.abund.Fefloatf_[Fe/H]LMR[1/100] Indicating % of features within the training set range, with 100 for all features within range (FeH_LMR_FL)%meta.codeint[alpha/Fe]MAPOAbundance ratio of Alpha elements to Iron, calculated using APOGEE training set (AlphaM_APO)phys.abundfloatf_[alpha/Fe]MAPO[2/100] Indicating % of features within the training set range, with 100 for all features within range (AlphaM_APO_FL)%meta.codeint[alpha/Fe]MLMRAbundance ratio of Alpha elements to Iron, calculated using LAMOST training set (AlphaM_LMR)phys.abundfloatJ861Photometric measurement in the J0861 filter (J861)magphot.mag;em.optfloatf_[alpha/Fe]MLMR[1/100] Indicating % of features within the training set range, with 100 for all features within range (AlphaM_LMR_FL)%meta.codeint[Li/Fe]GALAbundance ratio of Lithium to Iron, calculated using GALAH training set (LiFe_GAL)phys.abundfloatf_[Li/Fe]GAL[1/100] Indicating % of features within the training set range, with 100 for all features within range (LiFe_GAL_FL)%meta.codeint[Mg/Fe]APOAbundance ratio of Magnesium to Iron, calculated using APOGEE training set (MgFe_APO)phys.abundfloatf_[Mg/Fe]APO[2/100] Indicating % of features within the training set range, with 100 for all features within range (MgFe_APO_FL)%meta.codeint[Si/Fe]APOAbundance ratio of Silicon to Iron, calculated using APOGEE training set (SiFe_APO)phys.abundfloatf_[Si/Fe]APO[2/100] Indicating % of features within the training set range, with 100 for all features within range (SiFe_APO_FL)%meta.codeintTeffGALEffective temperature of the source, calculated using GALAH training set (Teff_GAL)Kphys.temperature.effectivedoublef_TeffGAL[1/100] Indicating % of features within the training set range, with 100 for all features within range (Teff_GAL_FL)%meta.codeintTeffAPOEffective temperature of the source, calculated using APOGEE training set (Teff_APO)Kphys.temperature.effectivedoublef_TeffAPO[1/100] Indicating % of features within the training set range, with 100 for all features within range (Teff_APO_FL)%meta.codeintTeffLMREffective temperature of the source, calculated using LAMOST training set (Teff_LMR)Kphys.temperature.effectivedoublef_TeffLMRIndicating % of features within the training set range, with 100 for all features within range (Teff_LMR_FL)%meta.codeintloggGALLogarithm of the surface gravity, calculated using GALAH training set (logg_GAL)log(cm.s**-2)phys.gravityfloatf_loggGALIndicating % of features within the training set range, with 100 for all features within range (logg_GAL_FL)%meta.codeintloggAPOLogarithm of the surface gravity, calculated using APOGEE training set (logg_APO)log(cm.s**-2)phys.gravityfloatf_loggAPOIndicating % of features within the training set range, with 100 for all features within range (logg_APO_FL)%meta.codeintloggLMRLogarithm of the surface gravity, calculated using LAMOST training set (logg_LMR)log(cm.s**-2)phys.gravityfloatf_loggLMRIndicating % of features within the training set range, with 100 for all features within range (logg_LMR_FL)%meta.codeintTeffGaia? Effective temperature of the source from GAIA DR3 catalog (Teff_GAIA)Kphys.temperature.effectivedoublenullableloggGaia? Logarithm of the surface gravity from GAIA DR3 catalog (logg_GAIA)log(cm.s**-2)phys.gravityfloatnullable[Fe/H]Gaia? Abundance ratio of Iron to Hydrogen from GAIA DR3 catalog (FeH_GAIA)phys.abund.FefloatnullableDistGaia? Distance from GAIA DR3 catalog (Dist_GAIA)pcpos.distancedoublenullableumagPhotometric measurement in the uJAVA filter, corresponding to the u-band (U)magphot.mag;em.opt.Ufloate_umagError or uncertainty associated with the uJAVA filter measurement (eU)magstat.error;phot.magfloatJ378Photometric measurement in the J0378 filter (J378)magphot.mag;em.optfloate_J378Error or uncertainty associated with the J0378 filter measurement (eJ378)magstat.errorfloatJ395Photometric measurement in the J0395 filter (J395)magphot.mag;em.optfloate_J395Error or uncertainty associated with the J0395 filter measurement (eJ395)magstat.errorfloatJ410Photometric measurement in the J0410 filter (J410)magphot.mag;em.optfloate_J410Error or uncertainty associated with the J0410 filter measurement (eJ410)magstat.errorfloatJ430Photometric measurement in the J0430 filter (J430)magphot.mag;em.optfloate_J430Error or uncertainty associated with the J0430 filter measurement (eJ430)magstat.errorfloatgmagPhotometric measurement in the gSDSS filter, corresponding to the g-band (G)magphot.mag;em.opt.Bfloate_gmagError or uncertainty associated with the gSDSS filter measurement (eG)magstat.error;phot.magfloatJ515Photometric measurement in the J0515 filter (J515)magphot.mag;em.optfloate_J515Error or uncertainty associated with the J0515 filter measurement (eJ515)magstat.errorfloatrmagPhotometric measurement in the rSDSS filter, corresponding to the r-band (R)magphot.mag;em.opt.Rfloate_rmagError or uncertainty associated with the rSDSS filter measurement (eR)magstat.error;phot.magfloatJ660Photometric measurement in the J0660 filter (J660)magphot.mag;em.optfloate_J660Error or uncertainty associated with the J0660 filter measurement (eJ660)magstat.errorfloatimagPhotometric measurement in the iSDSS filter, corresponding to the i-band (I)magphot.mag;em.opt.Ifloate_imagError or uncertainty associated with the iSDSS filter measurement (eI)magstat.error;phot.magfloate_J861Error or uncertainty associated with the J0861 filter measurement (eJ861)magstat.errorfloatzmagPhotometric measurement in the zSDSS filter, corresponding to the z-band (Z)magphot.mag;em.opt.Ifloate_zmagError or uncertainty associated with the zSDSS filter measurement (eZ)magstat.error;phot.magfloat