A novel neutron energy spectrum unfolding code using particle swarm optimization

作者：Shahabinejad H^*; Sohrabpour M

来源：Radiation Physics and Chemistry, 2017, 136: 9-16.

DOI：10.1016/j.radphyschem.2017.03.033

• Neutron spectrum unfolding
• Particle swarm optimization
• TGASU
• SDPSO

A novel neutron Spectrum Deconvolution using Particle Swarm Optimization (SDPSO) code has been developed to unfold the neutron spectrum from a pulse height distribution and a response matrix. The Particle Swarm Optimization (PSO) imitates the bird flocks social behavior to solve complex optimization problems. The results of the SDPSO code have been compared with those of the standard spectra and recently published Two-steps Genetic Algorithm Spectrum Unfolding (TGASU) code. The TGASU code have been previously compared with the other codes such as MAXED, GRAVEL, FERDOR and GAMCD and shown to be more accurate than the previous codes. The results of the SDPSO code have been demonstrated to match well with those of the TGASU code for both under determined and over-determined problems. In addition the SDPSO has been shown to be nearly two times faster than the TGASU code.

• 出版日期2017-7