论文信息 - Automated analysis for high energy gamma ray spectra

Automated analysis for high energy gamma ray spectra

Abstract A procedure to accomplish complete analysis of high energy photon spectra is delineated. With resolution enhancement through deconvolution the principal objective, the preparatory steps to achieve this are examined. The primary need is to remove the underlying continuum without affecting the structure of interest and this requires broaching the problem of high frequency components in the background. Their removal is accomplished through use of a filter devised for this purpose. The properties of the more regular background are examined and a technique to accomplish its removal is presented.

T. J. Kennett | W. V. Prestwich | R. J. Tervo | R. Tervo

[1] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.

[2] T. J. Kennett,et al. The application of a statistical description for complex spectra to the (n,γ) reaction , 1974 .

[3] H. Seyfarth,et al. Efficiency determination for some standard type Ge(Li) detectors for gamma-rays in the energy range from 0.04 to 11 MeV , 1972 .

[4] T. J. Kennett,et al. Area estimation for filtered gamma ray spectra , 1980 .

[5] T. J. Kennett,et al. The level structure of104Rh deduced from the103Rh(n, γ)104Rh reaction , 1981 .

[6] T. J. Kennett,et al. Bayesian deconvolution I: Convergent properties , 1978 .

[7] T. J. Kennett,et al. The realization of a statistical description for complex spectra , 1974 .

[8] T. J. Kennett,et al. Bayesian deconvolution II: Noise properties , 1978 .

[9] S. A. Roach,et al. The Theory of Random Clumping , 1968 .

[10] T. J. Kennett,et al. An automatic peak-extraction technique , 1972 .

[11] T. J. Kennett,et al. An investigation of the 35Cl(n,γ)36Cl reaction , 1981 .

[12] A. Robertson,et al. Bayesian deconvolution III: Applications and algorithm implementation , 1978 .