A Hybrid Algorithm for Spectral Analysis

Astronomy and Astrophysics – Astronomy

Scientific paper

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Evolution Strategies, Optimization, Spectral Analysis

Scientific paper

In this paper we present a method that combines evolutionstrategies (ES) and standard optimization algorithms to solve the problem of fitting lineprofiles of stellar spectra. This method provides a reliable decomposition and a reduction incomputing time over conventional algorithms. Using a stellar spectrum as input, weimplemented an evolution strategy to find an approximation of the continuum spectrum andspectral lines. After a few generations, the parameters found by ES are given as startingsearch point to a standard optimization algorithm, which then finds the correct spectraldecomposition. We used Gaussian functions to fit spectral lines and the Planck function torepresent the continuum spectrum. Our experimental results present the application of this methodto real spectra, showing that they can be approximated very accurately.

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