J/ApJS/266/40 Stellar parameters from LAMOST MRS DR8 (Wang+, 2023)
Stellar parameters and chemical abundances estimated from LAMOST-II DR8 MRS
based on CYCLE-STARNET.
Wang R., Luo A.-L., Zhang S., Ting Y.-S., O'Briain T.,
The LAMOST MRS Collaboration
<Astrophys. J. Suppl. Ser., 266, 40 (2023)>
=2023ApJS..266...40W 2023ApJS..266...40W
ADC_Keywords: Abundances; Spectra, optical; Surveys
Keywords: Stellar astronomy ; Stellar physics ; Stellar atmospheres ;
Fundamental parameters of stars ; Chemical abundances
Abstract:
Deriving stellar atmospheric parameters and chemical abundances from
stellar spectra is crucial for understanding the evolution of the
Milky Way. By performing a fitting with MARCS model atmospheric
theoretical synthetic spectra combined with a domain-adaptation
method, we estimate the fundamental stellar parameters (Teff, logg,
[Fe/H], vmic, and vmac) and 11 chemical abundances for 1.38 million
FGKM-type stars of the Medium-Resolution Spectroscopic Survey (MRS)
from LAMOST-II DR8. The domain-adaptation method, CYCLE-STARNET, is
employed to reduce the gap between observed and synthetic spectra, and
the L-BFGS algorithm is used to search the best-fit synthetic spectra.
By combining the Two Micron All Sky Survey photometric survey data,
Gaia EDR3 parallax, and MIST isochrones, the surface gravities of the
stars are constrained after estimating their bolometric luminosities.
The accuracy of Teff, logg, and [Fe/H] can reach 150K, 0.11dex, and
0.15dex, evaluated by the PASTEL catalog, asteroseismic samples, and
other spectroscopic surveys. The precision of these parameters and
elemental abundances ([C/Fe], [Na/Fe], [Mg/Fe], [Si/Fe], [Ca/Fe],
[Ti/Fe], [Cr/Fe], [Mn/Fe], [Co/Fe], [Ni/Fe], and [Cu/Fe]) is assessed
by repeated observations and validated by cluster members. For spectra
with signal-to-noise ratios (S/Ns) greater than 10, the precision of
the three stellar parameters and elemental abundances can achieve 76K,
0.014dex, 0.096dex, and 0.04-0.15dex. For spectra with S/Ns higher
than 100, the precision stabilizes at 22K, 0.006dex, 0.043dex, and
0.01-0.06dex.
Description:
LAMOST is a 4m reflecting Schmidt telescope located at the Xinglong
Observatory (40.4174° N, 117.5006° E) in Hebei, China. It has
been operating normally for 10yr. The Medium-Resolution Spectroscopic
Survey (MRS) has been carried out for 5yr so far, and its detection
limit is G∼17mag. The light of sources passes through 4000 fibers and
is dispersed with a resolution of 7500 into two separate bands (blue
arm, 4950-5350Å; red arm, 6300-6800Å) and recorded by
32 charge-coupled devices corresponding to 16 spectrographs. Each
non-time-domain spectrum is combined using multiple-exposure (at least
three exposures) spectra for a star.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
catalog.dat 384 1383749 The LAMOST DR8 MRS stellar parameters and
chemical abundances catalog
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See also:
B/pastel : The PASTEL catalogue (Soubiran+, 2016-)
II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
V/156 : LAMOST DR7 catalogs (Luo+, 2019)
V/154 : Sloan Digital Sky Surveys (SDSS), Release 16 (DR16) (Ahumada+, 2020)
III/284 : APOGEE-2 data from DR16 (Johnsson+, 2020)
I/352 : Distances to 1.47 billion stars in Gaia EDR3 (Bailer-Jones+, 2021)
J/A+A/535/A30 : Abundance of 12 stars in open clusters (Carrera+, 2011)
J/A+A/566/A98 : The Gaia Benchmark Stars - Library (Blanco-Cuaresma+, 2014)
J/ApJS/211/2 : Revised properties of Q1-16 Kepler targets (Huber+, 2014)
J/A+A/564/A133 : Gaia FGK benchmark stars: metallicity (Jofre+, 2014)
J/ApJS/215/19 : APOKASC catalog of Kepler red giants (Pinsonneault+, 2014)
J/A+A/577/A9 : Sc, V, Mn, and Co in Milky Way stars (Battistini+, 2015)
J/A+A/582/A81 : Gaia FGK benchmark stars: abundances (Jofre+, 2015)
J/ApJ/808/16 : Cannon: a new approach to determine abundances (Ness+, 2015)
J/AJ/151/144 : ASPCAP weights for APOGEE chemical elements (Garcia+, 2016)
J/A+A/592/A70 : Gaia FGK stars: low-metallicities candidates (Hawkins+, 2016)
J/ApJS/229/30 : Revised properties of Q1-17 Kepler targets (Mathur+, 2017)
J/A+A/618/A93 : Gaia DR2 open clusters in the MW (Cantat-Gaudin+, 2018)
J/ApJS/239/32 : APOKASC-2 cat. of Kepler evolved stars (Pinsonneault+, 2018)
J/A+A/623/A108 : Age of 269 GDR2 open clusters (Bossini+, 2019)
J/ApJS/244/27 : Radial velocity measurements in LAMOST-II (Wang+, 2019)
J/ApJS/245/34 : Abundances for 6 million stars from LAMOST DR5 (Xiang+, 2019)
J/A+A/633/A99 : Gaia DR2 open clusters in the MW. II (Cantat-Gaudin+, 2020)
J/AJ/159/199 : OCCAM. IV. Open cluster abundances (Donor+, 2020)
J/ApJ/891/23 : Stellar abundances from LAMOST MRS (SPCAnet) (Wang+, 2020)
J/ApJS/246/9 : Stellar parameters of LAMOST stars using SLAM (Zhang+, 2020)
J/ApJS/251/15 : LAMOST-Kepler/K2 survey (LK-MRS) 1st year obs. (Zong+, 2020)
J/MNRAS/506/150 : The GALAH+ Survey DR3 (Buder+, 2021)
J/ApJ/909/115 : Planets Across Space and Time (PAST). I. (Chen+, 2021)
J/AJ/162/100 : PAST. II. LAMOST-Gaia-Kepler catalog (Chen+, 2021)
J/MNRAS/504/356 : Updated parameters of 1743 open clusters (Dias+, 2021)
J/A+A/645/A106 : Atomic data for the Gaia-ESO Survey (Heiter+, 2021)
J/other/RAA/21.292 : LAMOST Time-Domain survey, first results (Wang+, 2021)
J/ApJS/253/22 : Ks absolute mag. from LAMOST for OB stars (Xiang+, 2021)
J/other/Nat/603.599 : 247014 subgiant stars data (Xiang+, 2022)
J/A+A/662/A66 : Hot stars from LAMOST DR6 (Xiang+, 2022)
Byte-by-byte Description of file: catalog.dat
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Bytes Format Units Label Explanations
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1- 6 A6 --- --- [LAMOST]
8- 26 A19 --- LAMOST LAMOST designation (JHHMMSS.ss+DDMMSS.s)
(StarID)
28- 67 A40 --- SpID LAMOST spectral ID (Date-PlateID-
SpectrographID-FiberID-MJM-PipelineVersion)
(medID)
69- 87 I19 --- Gaia ?=-9999 Gaia DR2 identifier (Gaiasourceid)
89- 108 F20.16 deg RAdeg Right ascension (J2000) (RA)
110- 128 E19.16 deg DEdeg [-9.9991/80.5] Declination (J2000) (Dec)
130- 135 F6.2 --- SNb [10/999] S/N of the blue arm (SN_blue)
137- 142 F6.2 --- SNr [10/999] S/N of the red arm (SN_red)
144- 150 F7.2 K Teff [3268/7999] Effective temperature
152- 157 F6.3 [cm/s2] logg [-0.5/5.4] Log of surface gravity
159- 164 F6.3 [Sun] [Fe/H] [-1.5/0.5] Metallicity with respect to
hydrogen (FeH)
166- 170 F5.3 km/s Vmic [0.1/3] Microturbulence
172- 177 F6.3 km/s Vmac [0.001/30] Macroturbulence
179- 184 F6.3 [Sun] [C/Fe] [-0.5/0.5] Log of C/Fe abundance (CFe)
186- 191 F6.3 [Sun] [Na/Fe] [-0.5/0.5] Log of Na/Fe abundance (NaFe)
193- 198 F6.3 [Sun] [Mg/Fe] [-0.5/0.5] Log of Mg/Fe abundance (MgFe)
200- 205 F6.3 [Sun] [Si/Fe] [-0.5/0.5] Log of Si/Fe abundance (SiFe)
207- 212 F6.3 [Sun] [Ca/Fe] [-0.5/0.5] Log of Ca/Fe abundance (CaFe)
214- 219 F6.3 [Sun] [Ti/Fe] [-0.5/0.5] Log of Ti/Fe abundance (TiFe)
221- 226 F6.3 [Sun] [Cr/Fe] [-0.5/0.5] Log of Cr/Fe abundance (CrFe)
228- 233 F6.3 [Sun] [Mn/Fe] [-0.5/0.5] Log of Mn/Fe abundance (MnFe)
235- 240 F6.3 [Sun] [Co/Fe] [-0.5/0.5] Log of Co/Fe abundance (CoFe)
242- 247 F6.3 [Sun] [Ni/Fe] [-0.5/0.5] Log of Ni/Fe abundance (NiFe)
249- 254 F6.3 [Sun] [Cu/Fe] [-0.5/0.5] Log of Cu/Fe abundance (CuFe)
256- 260 F5.2 K e_Teff [23.8/67.6] Teff uncertainty (Err_Teff)
262- 266 F5.3 [cm/s2] e_logg [0.02/0.2] logg uncertainty (Err_logg)
268- 272 F5.3 [Sun] e_[Fe/H] [0.03/0.1] [Fe/H] uncertainty (Err_FeH)
274- 278 F5.3 km/s e_Vmic [0.1/0.6] Vmic uncertainty (Err_vmic)
280- 284 F5.3 km/s e_Vmac [3.1/6.2] Vmac uncertainty (Err_vmac)
286- 290 F5.3 [Sun] e_[C/Fe] [0.058/0.5] [C/Fe] uncertainty (Err_CFe)
292- 296 F5.3 [Sun] e_[Na/Fe] [0.04/0.3] [Na/Fe] uncertainty (Err_NaFe)
298- 302 F5.3 [Sun] e_[Mg/Fe] [0.026/0.1] [Mg/Fe] uncertainty (Err_MgFe)
304- 308 F5.3 [Sun] e_[Si/Fe] [0.03/0.3] [Si/Fe] uncertainty (Err_SiFe)
310- 314 F5.3 [Sun] e_[Ca/Fe] [0.02/0.1] [Ca/Fe] uncertainty (Err_CaFe)
316- 320 F5.3 [Sun] e_[Ti/Fe] [0.02/0.08] [Ti/Fe] uncertainty (Err_TiFe)
322- 326 F5.3 [Sun] e_[Cr/Fe] [0.018/0.08] [Cr/Fe] uncertainty (Err_CrFe)
328- 332 F5.3 [Sun] e_[Mn/Fe] [0.069/0.3] [Mn/Fe] uncertainty (Err_MnFe)
334- 338 F5.3 [Sun] e_[Co/Fe] [0.05/0.3] [Co/Fe] uncertainty (Err_CoFe)
340- 344 F5.3 [Sun] e_[Ni/Fe] [0.018/0.07] [Ni/Fe] uncertainty (Err_NiFe)
346- 350 F5.3 [Sun] e_[Cu/Fe] [0.07/0.2] [Cu/Fe] uncertainty (Err_CuFe)
352 I1 --- f_Teff [0/1] Flag on Teff (0=good) (Flag_Teff)
354 I1 --- f_logg [0/1] Flag on logg (0=good) (Flag_logg)
356 I1 --- f_[Fe/H] [0/1] Flag on [Fe/H] (0=good) (Flag_FeH)
358 I1 --- f_Vmic [0/1] Flag on Vmic (0=good) (Flag_vmic)
360 I1 --- f_Vmac [0/1] Flag on Vmac (0=good) (Flag_vmac)
362 I1 --- f_[C/Fe] [0/1] Flag on [C/Fe] (0=good) (Flag_CFe)
364 I1 --- f_[Na/Fe] [0/1] Flag on [Na/Fe] (0=good) (Flag_NaFe)
366 I1 --- f_[Mg/Fe] [0/1] Flag on [Mg/Fe] (0=good) (Flag_MgFe)
368 I1 --- f_[Si/Fe] [0/1] Flag on [Si/Fe] (0=good) (Flag_SiFe)
370 I1 --- f_[Ca/Fe] [0/1] Flag on [Ca/Fe] (0=good) (Flag_CaFe)
372 I1 --- f_[Ti/Fe] [0/1] Flag on [Ti/Fe] (0=good) (Flag_TiFe)
374 I1 --- f_[Cr/Fe] [0/1] Flag on [Cr/Fe] (0=good) (Flag_CrFe)
376 I1 --- f_[Mn/Fe] [0/1] Flag on [Mn/Fe] (0=good) (Flag_MnFe)
378 I1 --- f_[Co/Fe] [0/1] Flag on [Co/Fe] (0=good) (Flag_CoFe)
380 I1 --- f_[Ni/Fe] [0/1] Flag on [Ni/Fe] (0=good) (Flag_NiFe)
382 I1 --- f_[Cu/Fe] [0/1] Flag on [Cu/Fe] (0=good) (Flag_CuFe)
384 I1 --- Qual [0/4]? Quality flag (Flag_quality) (1)
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Note (1): Quality flag of the results as follows:
0 = good (890,689 occurrences)
1 = bad (60,118 occurrences)
2 = large fitting k-square value (≤1.5) (61,410 occurrences)
3 = without logg calibrated (336,784 occurrences)
4 = suspected binary or multiple system (34,748 occurrences)
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History:
Downloaded from: http://nadc.china-vo.org/res/r101242/
(End) Emmanuelle Perret [CDS] 14-Aug-2023