DocumentCode :
1720356
Title :
Study of α Energy Spectrum Smoothing and Appraising Smoothing Goodness
Author :
Wenyan, Ma ; Yongjie, Jia ; Gang, Xiao ; Xaolin, Qiu
Author_Institution :
High-tech Inst. of Xi´´an in Hongqing Town, Xi´´an
fYear :
2007
Firstpage :
26665
Lastpage :
27760
Abstract :
This paper smooths an experimented alpha energy spectrum by means of gravity method and the least-square method, and illustrates the aim and significance of data smoothness of alpha energy spectrum. According to the fitted energy spectrum, we find a simple and useful method of appraising fitting goodness by using spline interpolation polynomial fitting with the curve-fitting tool in the program of MATLAB7.0. A visual, precise and convenient way of selecting optimal smooth windows and times is found through analyzing the effect of smooth windows and times to alpha energy spectrum. The problem that how to use an optimal smooth windows and times during smoothing energy spectrum is apparently solved, and also raise the precision and accuracy of analysis of alpha energy spectrum.
Keywords :
curve fitting; interpolation; least squares approximations; smoothing methods; splines (mathematics); MATLAB7.0; alpha energy spectrum smoothing; curve-fitting; data smoothness; gravity method; least-square method; radioactive measurement; spline interpolation polynomial fitting; Appraisal; Curve fitting; Energy measurement; Fluctuations; Gravity; Instruments; Mathematical model; Polynomials; Smoothing methods; Spline; smoothing goodness; smoothness; ¿ energy spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4350555
Filename :
4350555
Link To Document :
بازگشت