Non-parameter estimation algorithm to determine stellar fundamental parameters

Astronomy and Astrophysics – Astronomy

Scientific paper

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Methods: Data Analysis, Methods: Statistical, Stars: Fundamental Parameters, Pca, Non-Parameter Estimation, Window-Width

Scientific paper

The three fundamental parameters of stellar atmosphere, which are the effective temperature, the surface gravity, and the metallic abundance, determine the continuum and spectral lines in the stellar spectrum. A new algorithm is proposed for estimating the three parameters in this paper. It is composed of three steps: (1) the sample data of stellar spectrum, whose three fundamental parameters are known, is reduced to a lower dimensional feature space using PCA (Pnincipal Component Analysis) technique; (2) a non-parameter estimator with variable window-width is set up from the correspondence between the feature data and their fundamental parameters data; (3) this estimator is used to compute the fundamental parameters of a stellar spectrum. Experiments indicate that the estimator is more efficient and robust than the fixed window-width estimator.

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