A NEW PROGRAMME FOR DETERMINING THE DEADLAYER OF THE HPGe DETECTOR USING GENETIC ALGORITHM COUPLE WITH MCNP5

Abstract

More and more genetic algorithms have been widely used to find optimal or near-optimal parameters of complex systems which otherwise would take a lifetime to solve. Specially, in researching gamma spectrometers, combination of the genetic algorithm and the Monte Carlo based MCNP5 code allowed determining from geometry dimensions to lead shielding structures. This paper proposes a new programme for determining the thickness of the dead layer of the p-type HPGe detector using genetic algorithm coupled with MCNP5. The results showed that there was a good agreement between experimental and simulated spectra. On the other hand, this method allowed automatically computing by personal computers from preparing input parameters to finding optimal or near-optimal solutions of the deadlayer thickness so saving considerable computing time and having highly reliable results.