Study of α Energy Spectrum Smoothing and Appraising Smoothing Goodness

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.