An automated programme for the optimisation of HPGe detector parameters using an evolutionary algorithm with GESPECOR
| Autor: | Lorraine Currivan, Christopher Ian Burbidge, L. León Vintró, N.M. Murphy |
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| Rok vydání: | 2020 |
| Předmět: |
Radiation
Computer science business.industry Monte Carlo method Evolutionary algorithm Process (computing) 010403 inorganic & nuclear chemistry 01 natural sciences 030218 nuclear medicine & medical imaging 0104 chemical sciences 03 medical and health sciences 0302 clinical medicine Software Optimisation algorithm Hpge detector business Algorithm |
| Zdroj: | Applied Radiation and Isotopes. 156:108883 |
| ISSN: | 0969-8043 |
| DOI: | 10.1016/j.apradiso.2019.108883 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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