Evolution strategies applied to the problem of line profile decomposition in QSO spectra
Hamburger Sternwarte, Universität Hamburg, Gojenbergsweg 112, 21029 Hamburg, Germany e-mail: [rquast;rbaade;dreimers]@hs.uni-hamburg.de
Accepted: 16 October 2004
We describe the decomposition of QSO absorption line ensembles by applying an evolutionary forward modelling technique. The modelling is optimized using an evolution strategy (ES) based on a novel concept of completely derandomized self-adaption. The algorithm is described in detail. Its global optimization performance in decomposing a series of simulated test spectra is compared to that of classical deterministic algorithms. Our comparison demonstrates that the ES is a highly competitive algorithm capable of calculating the optimal decomposition without requiring any particular initialization.
Key words: methods: data analysis / methods: numerical / galaxies: quasars: absorption lines
© ESO, 2005