Gamma-ray energy spectrum unfolding of plastic scintillators using artificial neural network

In this study, the unfolding of the plastic scintillator spectrum was undertaken using the artificial neural networks tools of MATLAB. To this purpose, the response matrix of the plastic scintillator was generated for 145 energy groups and in 512 pulse-height channels using the MCNPX2.6 code. The results confirmed that the relative error in the gamma-ray energy unfolding with artificial neural networks is less than 3.8%.PMID:35550228 | DOI:10.1016/j.apradiso.2022.110265

Source: Applied Radiation and Isotopes - May 13, 2022 Category: Radiology Authors: Khashayar Heshmati Nima Ghal-Eh Reza Izadi Najafabadi Hector Rene Vega-Carrillo Source Type: research