Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS based on Cycle-StarNet

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, log g, [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 for the best-fit synthetic spectra. By combining the 2MASS 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, log g, and [Fe/H] can reach 150 K, 0.11 dex, and 0.15 dex, 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 (S/N) ratios greater than 10, the precision of the three stellar parameters and elemental abundances can achieve 76 K, 0.014 dex, 0.096 dex, and 0.04-0.15 dex. For spectra with S/N ratios higher than 100, the precision stabilizes at 22 K, 0.006 dex, 0.043 dex, and 0.01-0.06 dex. The full LAMOST MRS stellar properties catalog is available online.

arXiv commentAccepted for publication in ApJS

References in corpus (70)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Array Programming with NumPy
• The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
• MESA Isochrones and Stellar Tracks (MIST). I: Solar-Scaled Models
• A grid of MARCS model atmospheres for late-type stars I. Methods and general properties
• Estimating distances from parallaxes. V: Geometric and photogeometric distances to 1.47 billion stars in Gaia Early Data Release 3
• The Sixteenth Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra
• A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS
• The First Data Release (DR1) of the LAMOST general survey
• ASPCAP: The Apogee Stellar Parameter and Chemical Abundances Pipeline
• A Gaia DR2 view of the Open Cluster population in the Milky Way
• Extragalactic Science, Cosmology and Galactic Archaeology with the Subaru Prime Focus Spectrograph (PFS)
• The GALAH+ Survey: Third Data Release
• Determining stellar atmospheric parameters and chemical abundances of FGK stars with iSpec
• APOGEE Data and Spectral Analysis from SDSS Data Release 16: Seven Years of Observations Including First Results from APOGEE-South
• Revised Stellar Properties of Kepler Targets for the Quarter 1-16 Transit Detection Run
• ULySS: A Full Spectrum Fitting Package
• Quantifying the uncertainties of chemical evolution studies. II. Stellar yields
• The Cannon: A data-driven approach to stellar label determination
• The APOKASC Catalog: An Asteroseismic and Spectroscopic Joint Survey of Targets in the Kepler Fields
• Modern stellar spectroscopy caveats
• Gaia FGK Benchmark Stars - Metallicity
• 4MOST: Project overview and information for the First Call for Proposals
• The Second APOKASC Catalog: The Empirical Approach
• Updated parameters of 1743 open clusters based on Gaia DR2
• Gaia FGK Benchmark Stars: Effective temperatures and surface gravities
• Revised Stellar Properties of Kepler Targets for the Q1-17 (DR25) Transit Detection Run
• Clusters and mirages: cataloguing stellar aggregates in the Milky Way
• Age determination for 269 $Gaia$ DR2 Open Clusters
• The PASTEL catalogue of stellar parameters
• A time-resolved picture of our Milky Way's early formation history
• The Payne: self-consistent ab initio fitting of stellar spectra
• NLTE abundances of Mn in a sample of metal-poor stars
• The PASTEL catalogue: 2016 version
• Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra
• Atomic data for the Gaia-ESO Survey
• Accuracy and precision of industrial stellar abundances
• Gaia FGK benchmark stars: abundances of alpha and iron-peak elements
• The Sixth Data Release of the Radial Velocity Experiment (RAVE) -- II: Stellar Atmospheric Parameters, Chemical Abundances and Distances
• The Open Cluster Chemical Abundances and Mapping Survey: IV. Abundances for 128 Open Clusters using SDSS/APOGEE DR16
• The Sixth Data Release of the Radial Velocity Experiment (RAVE) -- I: Survey Description, Spectra and Radial Velocities
• The chemical homogeneity of open clusters
• The Gaia FGK Benchmark Stars - High resolution spectral library
• Chemical Homogeneity in the Hyades
• Atomic and Molecular Data for Optical Stellar Spectroscopy
• Chemical abundance analysis of the Open Clusters Berkeley 32, NGC 752, Hyades and Praesepe
• The origin and evolution of the odd-Z iron-peak elements Sc, V, Mn, and Co in the Milky Way stellar disk
• Deriving the stellar labels of LAMOST spectra with Stellar LAbel Machine (SLAM)
• Stellar labels for hot stars from low-resolution spectra - I. the HotPayne method and results for 330,000 stars from LAMOST DR6
• The Open Cluster Chemical Abundances and Mapping Survey: VI. Galactic Chemical Gradient Analysis from APOGEE DR17
• SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey
• Phase II of the LAMOST-Kepler/K2 survey. I. Time series of medium-resolution spectroscopic observations
• Fundamental parameters for 45 open clusters with Gaia DR2, an improved extinction correction and a metallicity gradient prior
• Gaia FGK Benchmark Stars: New Candidates At Low-Metallicities
• Prospects for Measuring Abundances of >20 Elements with Low-resolution Stellar Spectra
• Planets Across Space and Time (PAST). I. Characterizing the Memberships of Galactic Components and Stellar Ages: Revisiting the Kinematic Methods and Applying to Planet Host Stars
• Abundances in the Milky Way across five nucleosynthetic channels from 4 million LAMOST stars
• Properties of Radial Velocities measurement based on LAMOST-II Medium-Resolution Spectroscopic Observations
• Stellar parametrization of LAMOST M dwarf stars
• Iron-peak elements Sc, V, Mn, Cu and Zn in Galactic bulge globular clusters
• Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets
• The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks
• Exploring the spectral \textit{information content} in the LAMOST medium-resolution survey (MRS)
• Constructing Polynomial Spectral Models for Stars
• Data-driven spectroscopic estimates of absolute magnitude, distance and binarity -- method and catalog of 16,002 O- and B-type stars from LAMOST
• Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework
• LAMOST Medium-Resolution Spectral Survey of Galactic Nebula (LAMOST MRS-N): An overview of Scientific goals and Survey plan
• On the radial velocity calibrations in the LAMOST Medium-Resolution Spectroscopic Survey of Nebulae
• LAMOST Medium-Resolution Spectral Survey of Galactic Nebulae (LAMOST-MRS-N): Subtraction of Geocoronal Halpha Emission
• A Spectroscopic Modelling Method for the Detached Eclipsing Binaries to Derive Atmospheric Parameters

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• Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks
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