Random error analysis of normalized Fourier coefficient in dual-rotating compensator Mueller matrix ellipsometer

Author(s):  
Miao Zhengwei ◽  
Tang Yuanyuan ◽  
Kai Wei ◽  
Yudong Zhang

2013 ◽  
Vol 37 (3) ◽  
pp. 599-605 ◽  
Author(s):  
Muzheng Xiao ◽  
Tomohiko Takamura ◽  
Satoru Takahashi ◽  
Kiyoshi Takamasu


1989 ◽  
Vol 28 (15) ◽  
pp. 3187 ◽  
Author(s):  
Ralph F. Cohn ◽  
James W. Wagner


Author(s):  
T. Mitch Wallis ◽  
Atif Imtiaz ◽  
Sang-Hyun Lim ◽  
Pavel Kabos ◽  
Kichul Kim ◽  
...  
Keyword(s):  


2003 ◽  
Vol 20 (8) ◽  
pp. 1651 ◽  
Author(s):  
Soe-Mie F. Nee


2002 ◽  
Vol 13 (10) ◽  
pp. 1563-1573 ◽  
Author(s):  
B Boulbry ◽  
B Le Jeune ◽  
B Bousquet ◽  
F Pellen ◽  
J Cariou ◽  
...  


1997 ◽  
Vol 30 (10) ◽  
pp. 1967-1980 ◽  
Author(s):  
Alejandro C. Olivieri* ◽  
Graciela M. Escandar*


1974 ◽  
Vol 20 (8) ◽  
pp. 1028-1042 ◽  
Author(s):  
Harry L Pardue ◽  
Thomas E Hewitt ◽  
Michael J Milano

Abstract We report a detailed analysis of the effects of photometric errors in absorption spectroscopy. We show that photometric errors can be divided into five categories, each having a different effect on the relative concentration error for equilibrium and kinetic analyses. Error coefficients defined for each category are incorporated into mathematical equations that permit one to calculate both systematic and random components of the error. We show that the transmittance for minimum error depends largely on the types of errors that predominate, and equations are presented that can be used to predict the optimum point for any combination of systematic or random error coefficients. These equations are applied successfully to one commercial spectrometer for which data were published recently and to two custom-designed spectrometers with very different performance characteristics. We think that this error analysis can be applied successfully to virtually any spectrometer currently used in clinical laboratories and that the results of the analysis will identify the nature and origin of the major sources of error. We believe this to be an essential step in any program aimed at improving reliability of analytical results.



2013 ◽  
Vol 33 (6) ◽  
pp. 0612010
Author(s):  
曹绍谦 Cao Shaoqian ◽  
步扬 Bu Yang ◽  
王向朝 Wang Xiangzhao ◽  
李思坤 Li Sikun ◽  
汤飞龙 Tang Feilong ◽  
...  


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