Neutron Energy Spectrum Unfolding using Stochastic Techniques

A new stochastic unfolding algorithm (SUA) based on the iterative process was developed for the adjustment of the priori spectrum. Genetic algorithm (GA) has also been applied for unfolding and adjusting the neutron energy spectrum by foil activation method to minimize the difference between measured and modified priori spectrum. The cross sections used were from the JENDL3.3 libraries. The adjusted fluxes were verified by calculating the activities for
⁵⁸
Ni(n,p)
⁵⁸
Co and
⁵⁸
Co(n,γ)
⁵⁹
Co and comparing the results with measured values. The results obtained from SUA gives final DEV in the activities, of 22.505% and the relative errors for
⁵⁸
Ni(n,p)
⁵⁸
Co and
⁵⁸
Co(n,γ)
⁵⁹
Co, of 10.01% and 4.17% respectively. The priori flux spectrum was adjusted successfully with a DEV of 17.6563%. The relative errors for
⁵⁸
Ni(n,p)
⁵⁸
Co and
⁵⁸
Co(n,γ)
⁵⁹
Co became 34.37% and 0.16% respectively.