J/ApJ/858/L7ivo://CDS.VizieR/J/ApJ/858/L7doi:10.26093/cds/vizier.18589007CDSTing Y.-S.Hawkins K.Rix H.-W.2020-10-14T10:25:21Z2019-05-13T14:04:52ZCDS support team

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

cds-question@unistra.frasteroseismologymetallicityspectroscopyCore helium-burning red clump (RC) stars are excellent standard candles in the Milky Way. These stars may have more precise distance estimates from spectrophotometry than from Gaia parallaxes beyond 3kpc. However, RC stars have values of Teff and logg that are very similar to some red giant branch (RGB) stars. Especially for low-resolution spectroscopic studies where Teff, logg, and [Fe/H] can only be estimated with limited precision, separating RC stars from RGB through established methods can incur ~20% contamination. Recently, Hawkins+ (2018ApJ...853...20H) demonstrated that the additional information in single-epoch spectra, such as the C/N ratio, can be exploited to cleanly differentiate RC and RGB stars. In this second paper of the series, we establish a data-driven mapping from spectral flux space to independently determined asteroseismic parameters, the frequency and the period spacing. From this, we identify 210371 RC stars from the publicly available LAMOST DR3 and APOGEE DR14 data, with ~9% of contamination. We provide an RC sample of 92249 stars with a contamination of only ~3%, by restricting the combined analysis to LAMOST stars with S/N_pix_>=75. This demonstrates that high-signal-to-noise ratio (S/N), low-resolution spectra covering a broad wavelength range can identify RC samples at least as pristine as their high- resolution counterparts. As coming and ongoing surveys such as TESS, DESI, and LAMOST will continue to improve the overlapping training spectroscopic-asteroseismic sample, the method presented in this study provides an efficient and straightforward way to derive a vast yet pristine sample of RC stars to reveal the three-dimensional (3D) structure of the Milky Way.2018ApJ...858L...7Thttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/858/L7CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)V/133 : Kepler Input Catalog (Kepler Mission Team, 2009)III/284 : APOGEE-2 data from DR16 (Majewski+, 2017)V/153 : LAMOST DR4 catalogs (Luo+, 2018)J/ApJ/808/16 : Cannon: a new approach to determine abundances (Ness+, 2015)J/ApJS/220/19 : LAMOST obs. in the Kepler field. I. (De Cat+, 2015)J/A+A/588/A87 : Seismic global parameters of 6111 KIC (Vrard+, 2016)J/A+A/594/A43 : APOGEE/Kepler sample stars abundances (Hawkins+, 2016)J/AJ/152/6 : Kepler star parameters with LAMOST + seismic data (Wang+, 2016)J/ApJ/836/5 : Abundances of LAMOST giants from APOGEE DR12 (Ho+, 2017)J/AJ/155/68 : Elemental abundances of KOIs in APOGEE. I. (Wilson+, 2018)J/AJ/156/18 : APOGEE DR14:Binary companions of evolved stars (Price-Whelan+,J/AJ/156/84 : APOGEE-2 survey of Orion Complex. II. (Kounkel+, 2018)J/MNRAS/476/2117 : Outliers and similarity in APOGEE (Reis+, 2018)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/858/L7https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/858/L7http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/858/L7https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/858/L7https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/858/L7http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/858/L7GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/858/L7/table2 (Asteroseismic parameters added catalogs for APOGEE)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/858/L7/table2?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/858/L7/table2?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/858/L7/table2?GETtext/xml+votable180.050000true0.008863.463080.005555555555555556Cone search capability for table J/ApJ/858/L7/table1 (Asteroseismic parameters added catalogs for LAMOST; from erratum published in 2018, ApJL, 864, 39)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/858/L7/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/858/L7/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/858/L7/table1?GETtext/xml+votable180.050000true0.0003543.895010.0055555555555555562/4 10 19 85 93 95 3/13 14 15 20 22 23 24 27 28 29 37 48 64 67 74 75 96 98 99 101 102 103 104 105 106 108 112 134 135 136 141 142 150 153 154 347 363 371 377 379 442 445 498 4/1 4 5 11 14 15 16 17 20 21 23 27 29 30 31 34 36 38 44 45 47 49 50 51 84 85 86 100 101 103 104 105 120 121 122 124 131 132 134 137 138 139 140 142 143 147 152 153 156 157 159 176 178 179 182 183 185 187 196 198 199 200 201 202 204 225 261 262 264 265 266 280 282 283 286 288 290 293 294 322 323 324 325 326 328 329 330 332 334 335 336 337 342 343 344 346 347 349 350 354 355 356 357 358 364 366 367 368 369 372 374 375 377 388 390 391 400 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32053 32058 32066 32071 32077 32078 32079 32082 32083 32092 32094 32096 32097 32099 32102 32112 32113 32115 32129 32131 32144 32145 32147 32153 32156 32157 32175 32194 32226 32250 32251 32254 32255 32259 32265 32289 32291 32316 32318 32324 32326 32327 32348 32350 32364 32365 32367 32372 32374 32380 32381 32383 32392 32393 32394 32416 32418 32423 32446 32450 32451 32480 32483 32489 32515 32521 32523 32524 32525 32527 32534 32540 32542 32545 32546 32547 32566 32567 32581 32583 32589 32590 32591 32609 32610 32611 32621 32622 32623 32625 32626 32628 32629 32631 32632 32633 32634 32652 32654 32665 32667 32676 32680 32682 32683 32686 32696 32697 32699 32704 32705 32706 32711 32712 32714 32715 32722 32723 32726 36343 36439 36447 36517 36518 36519 36521 36530 36538 36610 36611 36620 36622 36641 36649 36651 36654 36655 36689 36692 36714 36715 36722 36723 36726 36727 36739 36752 36774 36775 36777 36780 36781 36782 36784 36786 36787 36788 36792 36794 36824 36825 36826 36828 36831 36832 36833 36836 36850 36851 36856 39915 39918 39919 39933 39935 40610 40611 40622 40625 40627 40633 40655 40666 40667 40670 40674 40677 40679 40680 40692 40694 40696 40697 40716 40737 40738 40739 40740 40742 40743 40797 40798 40799 40817 40819 40825 40828 40829 40858 40859 40862 40863 40897 40905 40906 40908 40913 40915 40920 40921 40923 40934 40935 40945 40946 44719 44730 44731 44771 44847 44924 44957 44958 44959 44981 44983 45018 45019 47869 47871 48033 48034 48035 48038 48056 48058 48925 48983 48989 48990 48991 48997 48998 48999 49014 49020 49022 49023 49092 49093 49095 49112 49130 49141 49143 49149 49151https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/858/L7?format=asciidefaultJ/ApJ/858/L7/table2Asteroseismic parameters added catalogs for APOGEErecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDIdentifier (2MHHMMSSss+DDMMSSs or APHHMMSSss+DDMMSSs)meta.id;meta.maincharRAJ2000Right Ascension in decimal degrees (J2000)degpos.eq.ra;meta.mainindexedDEJ2000Declination in decimal degrees (J2000)degpos.eq.dec;meta.mainindexedS/N[24/2204] Median Signal-to-Noise per pixelem.wl.central;stat.medianfloatDeltaP[25/393] Period spacing (1)stime.periodfloatDeltanu[2/17.4] Frequency separation (2)uHzem.freq;src.varfloatClassClassification (3)src.classcharTeff[4418/5226] Effective temperature (4)Kphys.temperature.effectiveintlog(g)[2/3.4] log surface gravity (4)log(cm.s**-2)phys.gravityfloat[Fe/H][-2.6/0.5] Metallicity (4)log(Sun)phys.abund.ZfloatACatDisplay data from Price-Whelan+, 2018, J/AJ/156/18 and Reis+, 2018, J/MNRAS/476/211 within 0.5"meta.ref.urlintnullable2MDisplay the 2MASS data (Cutri+ 2003, II/246) within 1"meta.ref.urlcharSimbadSimbad column added by the CDSmeta.ref.urlcharJ/ApJ/858/L7/table1Asteroseismic parameters added catalogs for LAMOST; from erratum published in 2018, ApJL, 864, 39recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDIdentifier (JHHMMSS.ss+DDMMSS.s)meta.id;meta.maincharRAJ2000Right Ascension in decimal degrees (J2000)degpos.eq.ra;meta.mainindexedDEJ2000Declination in decimal degrees (J2000)degpos.eq.dec;meta.mainindexedS/N[0/1212] Median Signal-to-Noise per pixelem.wl.central;stat.medianfloatDeltaP[29/410] Period spacing (1)stime.periodfloatDeltanu[1.7/17.5] Frequency separation (2)uHzem.freq;src.varfloatClassClassification (3)src.classcharTeff[4300/5388] Effective temperature (4)Kphys.temperature.effectiveintlog(g)[1/3.5] log surface gravity (4)log(cm.s**-2)phys.gravityfloat[Fe/H][-2.4/0.5] Metallicity (4)log(Sun)phys.abund.Zfloat