Fast inversion of spectral lines using principal components analysis. II. Inversion of real Stokes data

被引：56
|
作者：
Socas-Navarro, H [1 ]
Ariste, AL [1 ]
Lites, BW [1 ]
机构：
[1] Natl Ctr Atmospher Res, High Altitude Observ, Boulder, CO 80307 USA
来源：
ASTROPHYSICAL JOURNAL | 2001年 / 553卷 / 02期
关键词：
methods : data analysis; methods : numerical; Sun : atmosphere; Sun : magnetic fields; techniques : polarimetric;
D O I：
10.1086/320984
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
The principal components analysis (PCA) technique is used to develop an extremely fast and stable Stokes inversion code, suitable for application to large data sets from instruments that operate under standard conditions. This paper provides some tips on reducing the dimensionality of the problem, which are then used to develop a practical implementation of PCA for the automatic analysis of Stokes profiles. The resulting code is tested using real spectropolarimetric observations of the pair of Fe I lines at 6302 Angstrom at a sunspot.
引用
收藏
页码：949 / 954
页数：6
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