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Title A Hybrid Algorithm for Spectral Analysis
Edition Volume 14, Number 3
Call Number
ISBN/ISSN 0922-6435
Author(s) RAMÍREZ,FEDERICO J.
FUENTES,OLAC
Subject(s)
Classification
Series Title Experimental Astronomy
GMD Electronic Journal
Language English
Publisher Springer Netherlands
Publishing Year 2002
Publishing Place Hoboken, NJ
Collation 18p
Abstract/Notes In this paper we present a method that combines evolution strategies (ES) and standard
optimization algorithms to solve the problem of fitting line profiles of stellar spectra. This method
provides a reliable decomposition and a reduction in computing time over conventional algorithms.
Using a stellar spectrum as input, we implemented an evolution strategy to find an approximation
of the continuum spectrum and spectral lines. After a few generations, the parameters found by ES
are given as starting search point to a standard optimization algorithm, which then finds the correct
spectral decomposition. We used Gaussian functions to fit spectral lines and the Planck function to
represent the continuum spectrum. Our experimental results present the application of this method to
real spectra, showing that they can be approximated very accurately.
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