The identification of new Herbig Ae/Be stars from LAMOST DR7
Jialin Liu, Jiaming Liu, Jiya Yao, Zhenghao Cheng, Qingyue Qu, Zhicun Liu, Wenyuan Cui, Min Fang

TL;DR
This study systematically identified 26 new Herbig Ae/Be stars from LAMOST DR7 spectra using machine learning and spectral analysis, expanding the known population and revealing evolutionary stages through infrared color diagnostics.
Contribution
Introduces a novel method combining UMAP and SVM for identifying Herbig Ae/Be stars and demonstrates effective infrared color criteria for evolutionary classification.
Findings
Identified 26 new Herbig Ae/Be stars.
Developed infrared color diagrams to distinguish evolutionary stages.
Confirmed the effectiveness of the $(K-W1)_0$ vs. $(W2-W3)_0$ diagram for classification.
Abstract
Herbig Ae/Be stars (HAeBes) are critical tracers of intermediate- and high-mass star formation, yet their census remains incomplete compared to low-mass young stellar objects like T-Tauri stars. To expand the known population, we systematically searched for HAeBes in LAMOST DR7 low-resolution spectra. Following Sun et al., we applied Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction and Support Vector Machine (SVM) classification, identifying 240,000 spectra with potential H emission. After removing contaminants (non-stellar objects, extragalactic sources, CVs, and Algol systems) and restricting to B/A-type stars, we obtained 1,835 candidates through 2MASS/WISE visual inspection. Spectral energy distribution analysis confirmed 143 sources with infrared excess (-band or longer wavelengths), including 92 known HAeBes. From the remaining 51…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
