LAMOST DR7 stellar param. from RRNet model J/ApJS/261/36 ivo://CDS.VizieR/J/ApJS/261/36 doi:10.26093/cds/vizier.22610036 CDS Xiong S. Li X. Liao C. 2022-11-15T07:26:26Z 2022-11-07T14:45:16Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr astronomical-models visible-astronomy spectroscopy chemical-abundances This work proposes a residual recurrent neural network (RRNet) for synthetically extracting spectral information and estimating stellar atmospheric parameters together with 15 chemical element abundances for medium-resolution spectra from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). The RRNet consists of two fundamental modules: a residual module and a recurrent module. The residual module extracts spectral features based on the longitudinally driving power from parameters, while the recurrent module recovers spectral information and restrains the negative influences from noises based on Cross-band Belief Enhancement. RRNet is trained by the spectra from common stars between LAMOST DR7 and the APOGEE-Payne catalog. The 17 stellar parameters and their uncertainties for 2.37 million medium-resolution spectra from LAMOST DR7 are predicted. For spectra with a signal-to-noise ratio >=10, the precision of estimations (Teff and logg) are 88K and 0.13dex, respectively, elements C, Mg, Al, Si, Ca, Fe, and Ni are 0.05-0.08dex, and N, O, S, K, Ti, Cr, and Mn are 0.09-0.14dex, while that of Cu is 0.19dex. Compared with StarNet and SPCANet, RRNet shows higher accuracy and robustness. In comparison to Apache Point Observatory Galactic Evolution Experiment and Galactic Archaeology with HERMES surveys, RRNet manifests good consistency within a reasonable range of bias. 2022ApJS..261...36X https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/261/36 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to V/146 : LAMOST DR1 catalogs (Luo+, 2015) V/156 : LAMOST DR7 catalogs (Luo+, 2019) J/AJ/137/4377 : List of SEGUE plate pairs (Yanny+, 2009) J/other/RAA/11.924 : Atmospheric parameters for 771 stars (Wu+, 2011) J/AJ/151/144 : ASPCAP weights for the APOGEE elements (Garcia+, 2016) J/AJ/156/126 : Stellar parameters from BACCHUS analysis (Jonsson+, 2018) J/ApJS/245/34 : Abundances for 6 million stars from LAMOST DR5 (Xiang+, 2019) J/ApJ/891/23 : Stellar abundances from LAMOST MRS (SPCAnet) (Wang+, 2020) J/A+A/640/A127 : Open cluster properties with Gaia and LAMOST (Zhong+, 2020) J/MNRAS/506/150 : The GALAH+ Survey DR3 (Buder+, 2021) http://www.lamost.org/dr7/ : LAMOST DR7 home page http://github.com/Chan-0312/RRNet : RRNet code and trained models https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/261/36 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/261/36 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJS/261/36 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJS/261/36 https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJS/261/36 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJS/261/36 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/ApJS/261/36/rrnetcat (The LAMOST-RRNet catalog) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJS/261/36/rrnetcat? https://vizier.iucaa.in/viz-bin/conesearch/J/ApJS/261/36/rrnetcat? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJS/261/36/rrnetcat? GET text/xml+votable 180.0 50000 true 15.3672776 4.0094024 0.005555555555555556 3/375 4/19-21 23 25 29 48 63-65 67 88-89 91 107-108 110 113 120 122-123 152 176 183 189-190 196 201 203 208-210 224 267-268 270-271 280 282 289 291-293 296 304 354 358-359 366 385 387-388 390-391 414 422 426 432 450 458 526 562-563 568 610 615 622 646 649 652 667-668 674 676 686 697 708 710 748 835 841 858 880 887 891 934 944 1087 1116 1127 1130 1173 1390 1399 1401 1469 1477 1485 1497 1499 1505 1512 1515 1518 1521 1523-1525 1530 1625-1626 1641 1643 1648 1661 1687 1692-1693 1708 1718 1730 1752 1759 1780-1781 1784 1986 2031 2034 2036 5/30-31 42 63 75 89-91 97 99 104-106 108 113-115 120-121 124 128 134 137 139-140 142 149 151 198-199 205 210 216 247 264-266 290-292 294 297 300 320-321 323-326 335 339-340 342 344-346 348 360-361 363 368 405 407 411 414 418 423-424 436 439 445 448-449 458-460 462-463 484 486-487 498-499 501-505 508-510 565 567 586-587 598-599 604-605 618-619 622 629-631 633 636 645 647 653 656 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27784-27785 27788 27893 27946-27947 27950 27970 27973 27975 27986 27992 28021-28023 28025 28027 28064-28065 28068-28069 28079 28083 28086-28087 28115 28133-28135 28375 28381 28383 28405 28421 28423 28440-28441 28443 28459 28462 28513 28516-28517 28537 28540 28543 28560 28562 28568 28570 28580-28582 28592 28629-28631 28660-28661 30022-30023 30034-30035 30038 30064-30065 30068 30209-30211 30226 30240-30241 30243 30252-30253 30264 30837 30839 30845 30847 30933 31012 31014-31015 31032 31034 31095 31101 31103 31120 31274 31369-31370 31398-31399 31401 31403 31410-31411 31420 31422 31681-31683 31698 31712-31713 31715 31724-31725 31736 31794 31888-31890 31927 31970-31971 31974 32177 32179 32250 32276-32277 32279 32285 32328-32329 32332-32333 32351 32373-32375 32413 32415 32437 32439 32450-32451 32454-32455 32468-32469 32471 32488-32489 32492-32493 32529 32531 32536 32538 32541 32568 32570 32600-32601 32609 32612-32613 32644-32646 32648 32650-32651 32671 32680-32682 32687 32691 32714-32715 32718 32748-32750 44921-44923 45016-45017 45019 49142-49143 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJS/261/36?format=ascii Optical default J/ApJS/261/36/rrnetcat The LAMOST-RRNet catalog MgH [-1.9/0.6] [Mg/H] abundance phys.abund double recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int [N/H] [-1.94/0.9] [N/H] abundance phys.abund double obsID [588902003/747816250] Identification of LAMOST spectrum meta.id;meta.main long RAJ2000 Right ascension (J2000) deg pos.eq.ra;meta.main indexed DEJ2000 [-9.15/79.1] Declination (J2000) deg pos.eq.dec;meta.main indexed Nameb Spectrum extension name of blue part meta.id char Namer Spectrum extension name of red part meta.id char SNRb [10/999] Signal-to-noise ratio of blue part stat.snr float SNRr [10/999] Signal-to-noise ratio of red part stat.snr float Teff [3779/6597] Effective temperature K phys.temperature.effective float e_Teff [33/484] Teff uncertainty K stat.error;phys.temperature.effective float logg [0.95/4.8] Log of surface gravity log(cm.s**-2) phys.gravity float e_logg [0.08/0.8] logg uncertainty log(cm.s**-2) stat.error float CH [-2.38/0.34] [C/H] abundance phys.abund double e_CH [0.029/0.5] CH uncertainty stat.error double e_[N/H] [0.038/0.52] [N/H] uncertainty stat.error;phys.abund double OH [-1.44/0.44] [O/H] abundance phys.abund double e_OH [0.028/0.5] OH uncertainty stat.error double e_MgH [0.02/0.4] MgH uncertainty stat.error double AlH [-2.7/0.8] [Al/H] abundance phys.abund double e_AlH [0.027/0.6] AlH uncertainty stat.error double SiH [-1.81/0.61] [Si/H] abundance phys.abund double e_SiH [0.019/0.31] SiH uncertainty stat.error double SH [-1.91/0.5] [S/H] abundance phys.abund double e_SH [0.039/0.42] SH uncertainty stat.error double KH [-2.1/0.5] [K/H] abundance phys.abund double e_KH [0.04/0.61] KH uncertainty stat.error double CaH [-1.97/0.52] [Ca/H] abundance phys.abund double e_CaH [0.02/0.4] CaH uncertainty stat.error double TiH [-1.75/0.6] [Ti/H] abundance phys.abund double e_TiH [0.026/0.6] TiH uncertainty stat.error double CrH [-2.25/0.64] [Cr/H] abundance phys.abund double e_CrH [0.028/0.5] CrH uncertainty stat.error double MnH [-2.1/0.5] [Mn/H] abundance phys.abund double e_MnH [0.029/0.6] MnH uncertainty stat.error double [Fe/H] [-1.88/0.61] [Fe/H] abundance phys.abund.Fe double e_[Fe/H] [0.025/0.4] [Fe/H] uncertainty stat.error;phys.abund.Fe double NiH [-2.55/0.72] [Ni/H] abundance phys.abund double e_NiH [0.02/0.5] NiH uncertainty stat.error double CuH [-2.6/0.6] [Cu/H] abundance phys.abund double e_CuH [0.05/0.7] CuH uncertainty stat.error double Flag [0/1] Recommended flag: 1=good meta.code.error int FileName Name of the FITS file LAMOST spectrum meta.id;meta.fits char