skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation

Journal Article · · Astrophysical Journal
; ; ;  [1];  [2]; ; ;  [3]
  1. School of Mathematical Sciences, South China Normal University, Guangzhou 510631 (China)
  2. Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario N9B 3P4 (Canada)
  3. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China)

Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and make it feasible to statistically investigate latent principles in a large data set. We present a technique for estimating parameters T{sub eff}, log g, and [Fe/H] from stellar spectra. With this technique, we first extract features from stellar spectra using the LASSO algorithm; then, the parameters are estimated from the extracted features using the support vector regression. On a subsample of 20,000 stellar spectra from the Sloan Digital Sky Survey (SDSS) with reference parameters provided by the SDSS/SEGUE Spectroscopic Parameter Pipeline, estimation consistency are 0.007458 dex for log T{sub eff} (101.609921 K for T{sub eff}), 0.189557 dex for log g, and 0.182060 for [Fe/H], where the consistency is evaluated by mean absolute error. Prominent characteristics of the proposed scheme are sparseness, locality, and physical interpretability. In this work, each spectrum consists of 3821 fluxes, and 10, 19, and 14 typical wavelength positions are detected, respectively, for estimating T{sub eff}, log g, and [Fe/H]. It is shown that the positions are related to typical lines of stellar spectra. This characteristic is important in investigating physical indications from analysis results. Then, stellar spectra can be described by the individual fluxes on the detected positions (PD) or local integration of fluxes near them (LI). The aforementioned consistency is the result based on features described by LI. If features are described by PD, consistency is 0.009092 dex for log T{sub eff} (124.545075 K for T{sub eff}), 0.198928 dex for log g, and 0.206814 dex for [Fe/H].

OSTI ID:
22365510
Journal Information:
Astrophysical Journal, Vol. 790, Issue 2; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0004-637X
Country of Publication:
United States
Language:
English

Similar Records

Linearly supporting feature extraction for automated estimation of stellar atmospheric parameters
Journal Article · Fri May 01 00:00:00 EDT 2015 · Astrophysical Journal, Supplement Series · OSTI ID:22365510

CARBON-ENHANCED METAL-POOR STARS IN SDSS/SEGUE. I. CARBON ABUNDANCE ESTIMATION AND FREQUENCY OF CEMP STARS
Journal Article · Fri Nov 01 00:00:00 EDT 2013 · Astronomical Journal (New York, N.Y. Online) · OSTI ID:22365510

Application of the SEGUE Stellar Parameter Pipeline to LAMOST Stellar Spectra
Journal Article · Tue Dec 01 00:00:00 EST 2015 · The Astronomical Journal (Online) · OSTI ID:22365510