Spectral decomposition by genetic forward modelling

被引：24

作者：

McIntosh, SW

Diver, DA

Judge, PG

Charbonneau, P

Ireland, J

Brown, JC

机构：

[1] Univ Glasgow, Dept Phys & Astron, Glasgow G12 8QQ, Lanark, Scotland

[2] Natl Ctr Atmospher Res, High Altitude Observ, Boulder, CO 80307 USA

[3] Univ St Andrews, Sch Math & Computat Sci, St Andrews KY16 9SS, Fife, Scotland

来源：

ASTRONOMY & ASTROPHYSICS SUPPLEMENT SERIES | 1998年 / 132卷 / 01期

关键词：

Sun : UV radiation; methods : data analysis; techniques : spectroscopic; line : identification; profiles;

D O I：

10.1051/aas:1998364

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We discuss the analysis of real and simulated line spectra using a genetic forward modelling technique. We show that this Genetic Algorithm (GA) based technique experiences none of the user bias or systematic problems that arise when faced with poorly sampled or noisy data. An important feature of this technique is the ease with which rigid a priori constraints can be applied to the data. These constraints make the GA decomposition much more accurate and stable, especially at the limit of instrumental resolution; than decomposition algorithms commonly in use.

引用

页码：145 / 153

页数：9

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