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• W3100149672 abstract "In this era of large-scale spectroscopic stellar surveys, measurements of stellar attributes (labels, i.e., parameters and abundances) must be made precise and consistent across surveys. Here, we demonstrate that this can be achieved by a data-driven approach to spectral modeling. With The Cannon, we transfer information from the APOGEE survey to determine precise , , , and from the spectra of 450,000 LAMOST giants. The Cannon fits a predictive model for LAMOST spectra using 9952 stars observed in common between the two surveys, taking five labels from APOGEE DR12 as ground truth , , , , and K-band extinction . The model is then used to infer , , , and for 454,180 giants, 20% of the LAMOST DR2 stellar sample. These are the first values for the full set of LAMOST giants, and the largest catalog of for giant stars to date. Furthermore, these labels are by construction on the APOGEE label scale; for spectra with S/N > 50, cross-validation of the model yields typical uncertainties of 70 K in , 0.1 in , 0.1 in , and 0.04 in , values comparable to the broadly stated, conservative APOGEE DR12 uncertainties. Thus, by using label transfer to tie low-resolution (LAMOST R ≈ 1800) spectra to the label scale of a much higher-resolution (APOGEE R ≈ 22,500) survey, we substantially reduce the inconsistencies between labels measured by the individual survey pipelines. This demonstrates that label transfer with The Cannon can successfully bring different surveys onto the same physical scale." @default.
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• W3100149672 date "2017-02-03" @default.
• W3100149672 modified "2023-10-18" @default.
• W3100149672 title "Label Transfer from APOGEE to LAMOST: Precise Stellar Parameters for 450,000 LAMOST Giants" @default.
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• W3100149672 doi "https://doi.org/10.3847/1538-4357/836/1/5" @default.
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