Automated stellar spectral analysis software for survey spectra

A-Li Luo; Yue Wu; Jingkun Zhao; Gang Zhao

doi:10.1117/12.788251

16 July 2008 Automated stellar spectral analysis software for survey spectra

A-Li Luo, Yue Wu, Jingkun Zhao, Gang Zhao

Proceedings Volume 7019, Advanced Software and Control for Astronomy II; 701935 (2008) https://doi.org/10.1117/12.788251
Event: SPIE Astronomical Telescopes + Instrumentation, 2008, Marseille, France

Abstract

A spectral analysis pipeline of LAMOST (Large sky Area Multi-Object fiber Spectroscopic Telescope), which produces archived spectral type data, is introduced. By studying observational and theoretical stellar spectra, spectral features within medium resolution are discussed, those lines and bands with high sensitivity to stellar atmospheric parameters, viz. effective temperature (Teff), surface gravity (logg) and metallicity ([Fe/H]), were selected. According to the research, selected features were put into different objective algorithms to extract parameters. The application of three algorithms to SDSS/SEGUE spectra, namely radial basis function neural network (RBFN), back propagation neural network (BPN) and non-parameter regression (NPR), shows intrinsic statistical consistency. Based on the above research, a stellar atmospheric parameter pipeline for LAMOST is designed.

Citation Download Citation

A-Li Luo, Yue Wu, Jingkun Zhao, and Gang Zhao "Automated stellar spectral analysis software for survey spectra", Proc. SPIE 7019, Advanced Software and Control for Astronomy II, 701935 (16 July 2008); https://doi.org/10.1117/12.788251

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