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.
@article{arxiv.astro-ph/0410391,
title = {Evolution strategies applied to the problem of line profile decomposition in QSO spectra},
author = {R. Quast and R. Baade and D. Reimers},
journal= {arXiv preprint arXiv:astro-ph/0410391},
year = {2009}
}
Comments
9 pages, 5 figures, accepted for publication in Astron. Astrophys., corrected figure misplacements, full resolution manuscript can be obtained at http://www.hs.uni-hamburg.de/EN/Ins/Per/Quast/