A benchmark for Monte Carlo simulations in gamma-ray spectrometry part II: true coincidence summing correction factors

The goal of this study is to provide a benchmark for the use of Monte Carlo simulation when applied to coincidence summing corrections. The examples are based on simple geometries: two types of germanium detectors and four kinds of sources, to mimic eight typical measurement conditions. The coincide...

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Bibliographic Details
Authors: Lépy, Marie Christine, Thiam, Cheick, Anagnostakis, Mario J., Cosar, Ciprian, Blas del Hoyo, Alfredo de|||0000-0002-0868-9514, Dikmen, Hasan, Duch Guillen, María Amor|||0000-0002-1560-1576, Galea, Raphael, Ganea, Maria Larisa, Hurtado Bermudez, Santiago José, Karfopoulos, Konstantinos, Vargas Drechsler, Arturo|||0000-0002-2576-9671
Format: article
Publication Date:2024
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/399238
Online Access:https://hdl.handle.net/2117/399238
https://dx.doi.org/10.1016/j.apradiso.2023.111109
Access Level:Open access
Keyword:Monte Carlo method
Gamma ray spectrometry
Coincidence summing
EFFTRAN
EGS4
EGSnrc
Efficiency
GEANT4
GESPECOR
Gamma-ray spectrometry
MCNP
Monte Carlo simulation
PENELOPE
Montecarlo, Mètode de
Espectrometria de raigs gamma
Àrees temàtiques de la UPC::Energies::Energia nuclear
Description
Summary:The goal of this study is to provide a benchmark for the use of Monte Carlo simulation when applied to coincidence summing corrections. The examples are based on simple geometries: two types of germanium detectors and four kinds of sources, to mimic eight typical measurement conditions. The coincidence corrective factors are computed for four radionuclides. The exercise input files and calculation results with practical recommendations are made available for new users on a dedicated webpage.

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