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

N M Murphy; L León Vintró; C I Burbidge; L Currivan

doi:10.1016/j.apradiso.2019.108883

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

Appl Radiat Isot. 2020 Feb:156:108883. doi: 10.1016/j.apradiso.2019.108883. Epub 2019 Nov 1.

Authors

N M Murphy¹, L León Vintró², C I Burbidge³, L Currivan³

Affiliations

¹ School of Physics, University College Dublin, Belfield, Dublin 4, Ireland; Office of Radiation Protection and Environmental Monitoring, Environmental Protection Agency, 3 Clonskeagh Square, Dublin 14, Ireland. Electronic address: n.murphy2@epa.ie.
² School of Physics, University College Dublin, Belfield, Dublin 4, Ireland.
³ Office of Radiation Protection and Environmental Monitoring, Environmental Protection Agency, 3 Clonskeagh Square, Dublin 14, Ireland.

PMID: 31759259
DOI: 10.1016/j.apradiso.2019.108883

Abstract

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.

Keywords: Detector optimisation; GESPECOR; HPGe detector; Monte Carlo.