2014/05/30 by Jing Zhong, Li Chen, Chao Liu +15 · 39 citations
Physics and Astronomy · #Artificial intelligence #Astronomy and Astrophysical Research #Astrophysics #Computer science #Gamma-ray bursts and supernovae #LAMOST #Physics #Stars #Stellar, planetary, and galactic studies #astro-ph.GA #k-nearest neighbors algorithm
paper · pdf · doi:10.1088/2041-8205/789/1/l2
published in The Astrophysical Journal Letters 789(1), L2 (IOP Publishing) · 8 pages, 1 figure, 3 tables, accepted for publication in ApJ Letter
arxiv created 2014/05/30 · openalex publication_date 2014/06/10 · arxiv updated 2015/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We report the discovery of 28 candidate high-velocity stars (HVSs) at heliocentric distances of less than 3 kpc, based on the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Data Release 1. Our sample of HVS candidates covers a much broader color range than the equivalent ranges discussed in previous studies and comprises the first and largest sample of HVSs in the immediate solar neighborhood, at heliocentric distances less than 1–3 kpc. The observed as well as the derived parameters for all candidates are sufficiently accurate to allow us to ascertain their nature as genuine HVSs, of which a subset of 12 objects represents the most promising candidates. Our results also highlight the great potential of discovering statistically large numbers of HVSs of different spectral types in LAMOST survey data. This will ultimately enable us to achieve a better understanding of the nature of Galactic HVSs and their ejection mechanisms, and to constrain the structure of the Galaxy.