About estimation of fitted parameters' statistical uncertainties in EXAFS.: Critical approach on usual and Monte Carlo methods

被引:14
作者
Curis, E
Bénazeth, S
机构
[1] Univ Paris 05, Fac Pharm, Lab Biomath, F-75006 Paris, France
[2] Ctr Univ Paris Sud, LURE, F-91405 Orsay, France
关键词
EXAFS; statistical error estimation; parameter fitting; Monte Carlo; covariance matrix;
D O I
10.1107/S0909049504032261
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
An important step in X-ray absorption spectroscopy (XAS) analysis is the fitting of a model to the experimental spectra, with a view to obtaining structural parameters. It is important to estimate the errors on these parameters, and three methods are used for this purpose. This article presents the conditions for applying these methods. It is shown that the usual equation Sigma = 2H(-1) is not applicable for fitting in R space or on filtered XAS data; a formula is established to treat these cases, and the equivalence between the usual formula and the brute-force method is evidenced. Lastly, the problem of the nonlinearity of the XAS models and a comparison with Monte Carlo methods are addressed.
引用
收藏
页码:361 / 373
页数:13
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