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Evolution strategies applied to the problem of line profile decomposition in QSO spectra

R. Quast·R. Baade·D. Reimers
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Abstract

We describe the decomposition of QSO absorption line ensembles 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 to calculate the optimal decomposition without requiring any particular initialization.

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R. Quast, R. Baade, D. Reimers. 2004-10-18. Evolution strategies applied to the problem of line profile decomposition in QSO spectra. https://doi.org/10.1051/0004-6361%3A20041601

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