An automated programme for the optimisation of HPGe detector parameters using an evolutionary algorithm with GESPECOR

We describe the development of an automated, user-friendly programme which, making use of the GESPECOR gamma spectrometry software to conduct Monte Carlo simulations, yields an optimised model of a HPGe detector by applying suitable optimisation algorithms without requiring any further user intervention. The programme is capable of simultaneously employing multiple experimental FEP efficiency curves for the parameter optimisation process. Application of the optimisation process to a HPGe detector demonstrates that accurate, robust models can be achieved using this approach. •An automated programme has been developed for the optimisation of HPGe detector parameters.•The programme allows the simultaneous use of multiple experimental FEP efficiency curves to guide the optimisation search.•The programme uses a CMAES optimisation process to iteratively run GESPECOR to find the optimum parameters.•Experimental and computed efficiencies agree within