Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)

@article{Zhang2019DerivingTS,
  title={Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)},
  author={Bo Zhang and Chao Liu and Licai Deng},
  journal={arXiv: Solar and Stellar Astrophysics},
  year={2019}
}
  • Bo Zhang, C. Liu, L. Deng
  • Published 23 August 2019
  • Physics
  • arXiv: Solar and Stellar Astrophysics
The LAMOST survey has provided 9 million spectra in its Data Release 5 (DR5) at R$\sim$1800. Extracting precise stellar labels is crucial for such a large sample. In this paper, we report the implementation of the Stellar LAbel Machine (SLAM), which is a data-driven method based on Support Vector Regression (SVR), a robust non-linear regression technique. Thanks to the capability to model highly non-linear problems with SVR, SLAM generally can derive stellar labels over a wide range of spectral… Expand
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References

SHOWING 1-10 OF 56 REFERENCES
The Cannon: A data-driven approach to stellar label determination
New spectroscopic surveys offer the promise of consistent stellar parameters and abundances ('stellar labels') for hundreds of thousands of stars in the Milky Way: this poses a formidable spectralExpand
Label Transfer from APOGEE to LAMOST: Precise Stellar Parameters for 450,000 LAMOST Giants
In this era of large-scale stellar spectroscopic surveys, measurements of stellar attributes ("labels," i.e. parameters and abundances) must be made precise and consistent across surveys. Here, weExpand
SDSS/SEGUE Spectral Feature Analysis For Stellar Atmospheric Parameter Estimation
Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and makes itExpand
The Cannon 2: A data-driven model of stellar spectra for detailed chemical abundance analyses
We have shown that data-driven models are effective for inferring physical attributes of stars (labels; Teff, logg, [M/H]) from spectra, even when the signal-to-noise ratio is low. Here we exploreExpand
The Payne: Self-consistent ab initio Fitting of Stellar Spectra
We present The Payne, a general method for the precise and simultaneous determination of numerous stellar labels from observed spectra, based on fitting physical spectral models. The Payne combines aExpand
Measuring 14 elemental abundances with R=1,800 LAMOST spectra
The LAMOST survey has acquired low-resolution spectra (R=1,800) for 5 million stars across the Milky Way, far more than any current stellar survey at a corresponding or higher spectral resolution. ItExpand
Estimating stellar atmospheric parameters based on LASSO and support-vector regression
A scheme for estimating atmospheric parameters T$_{eff}$, log$~g$, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar wavelet. TheExpand
A Catalog of OB Stars from LAMOST Spectroscopic Survey
We present 22\,901 OB spectra of 16\,032 stars identified from LAMOST DR5 dataset. A larger sample of OB candidates are firstly selected from the distributions in the spectral line indices space.Expand
The SDSS-I Value Added Catalog of Stellar Parameters and the SEGUE Pipeline
We report on the development, calibration, and refinement of the SDSS-I Value Added Catalog (VAC) of stellar abundances, temperatures, and surface gravities. This catalog is based on observations ofExpand
The RAVE-on catalog of stellar atmospheric parameters and chemical abundances for chemo-dynamic studies in the Gaia era
The orbits, atmospheric parameters, chemical abundances, and ages of individual stars in the Milky Way provide the most comprehensive illustration of galaxy formation available. The Tycho-GaiaExpand
...
1
2
3
4
5
...