Study of α Energy Spectrum Smoothing and Appraising Smoothing Goodness
This paper smooths an experimented α energyspectrum by means of gravity method and the least-square method, and illustrates the aim and significance of data smoothness of α energy spectrum. According to the fittedenergy 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 α energyspectrum. 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 αenergy spectrum.
smoothness α energy spectrum smoothinggoodness
Ma Wenyan Jia Yongjie Xiao Gang Qiu Xaolin
The High-tech Institution of Xian in Hongqing Town,Xian 710025 China The Applied Physics and Computational Mathematics Institution of Beijing,Beijing 100088 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）