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Automatic stellar spectral parameterization pipeline for LAMOST survey

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arxiv 1407.1980 v1 pith:CTMDSHJV submitted 2014-07-08 astro-ph.IM

classification astro-ph.IM
keywords surveylamoststellarlasppipelineprojectspectroscopicstars
verification ladder T0 review T1 audit T2 compute T3 formal

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The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) project performed its five year formal survey since Sep. 2012, already fulfilled the pilot survey and the 1st two years general survey with an output - spectroscopic data archive containing about 3.5 million observations. One of the scientific objectives of the project is for better understanding the structure and evolution of the Milky Way. Thus, credible derivation of the physical properties of the stars plays a key role for the exploration. We developed and implemented the LAMOST stellar parameter pipeline (LASP) which can automatically determine the fundamental stellar atmospheric parameters (effective temperature Teff, surface gravity log g, metallicity [Fe/H], radial velocity Vr) for late A, FGK type stars observed during the survey. An overview of the LASP, including the strategy, the algorithm and the process is presented in this work.

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Cited by 3 Pith papers

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  1. Reconstructing the Stripping History of the Sagittarius Stream with Neural Networks

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  2. BOSS-CLAM: Utilizing a Constrained Linear Absorption Model to Infer Stellar Parameters from BOSS Spectra

    astro-ph.SR 2026-07 conditional novelty 6.0 of 10

    A new generative pipeline, BOSS-CLAM, infers temperature, gravity, metallicity, and alpha-abundance for 1,708,214 SDSS-V BOSS spectra and releases a validated clean catalog of 915,514 stars.

  3. CNN-Derived Elemental Abundances of LAMOST DR10 Giants: Implications for Galactic Substructures

    astro-ph.GA 2025-06 conditional novelty 5.0 of 10

    A CNN transfers APOGEE abundance labels to 1.1 million LAMOST giants, producing a public catalog and a tentative chemical classification of the PG1 and PG2 substructures.

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