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

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 opti...

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Bibliographic Details
Published inAstronomy and astrophysics (Berlin) Vol. 431; no. 3; pp. 1167 - 1175
Main Authors Quast, R., Baade, R., Reimers, D.
Format Journal Article
LanguageEnglish
Published Les Ulis EDP Sciences 01.03.2005
Subjects
galaxies: quasars: absorption lines
methods: data analysis
methods: numerical
Quasars
Absorption line
Data analysis
Algorithms
Line shape
methods: data analysis
Galaxies
Numerical method
Performance
methods: numerical
Optimization
galaxies: quasars: absorption lines
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Summary: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.
Bibliography:other:2005A%26A...431.1167Q
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ark:/67375/80W-Q0NQT00L-P
publisher-ID:aa1601
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0004-6361
1432-0746
DOI:10.1051/0004-6361:20041601