Dead layer thickness characterization of an HPGe detector by measurements and Monte Carlo simulations

Elanique, A.; Marzocchi, O.; Leone, D.; Hegenbart, L.; Breustedt, B.; Oufni, L.

doi:10.1016/j.apradiso.2011.11.014

Cited by 63 publications

(22 citation statements)

References 16 publications

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“…Many researchers use radiography and point sources in combination with Monte Carlo simulations and parametric detector models to individually characterize their detectors (Britton et al 2012;Elanique et al 2012;Marzocchi, Breustedt and Urban 2010;McNamara et al 2012;Nogueira et al 2010). Particular attention to detail is paid to entrance window and dead layer of the detector crystal as slight changes in these structures have large impact on the detection of low-energy photons.…”

Section: Detectorsmentioning

confidence: 99%

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Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

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Zusammenfassung AbstractBody counting is a method for in vivo activity assessment applied to the monitoring of people with high risk of radionuclide incorporation. Energy-sensitive radiation detectors are arranged relative to the body to quantify radionuclide deposits in anatomical structures, such as lungs, liver and skeleton. This method depends on the specific detection system and is sensitive to the individual anatomy of the person. Accurate activity estimates, which are the basis for dose calculation, require extensive calibration procedures typically involving experimental measurements of anthropomorphic phantoms conforming to a reference person. Current calibration methods offer personalisation for lung and liver counting only with respect to body mass and height and do not specify uncertainties.This work revises and extends the currently applied personalisation methods using radiation transport simulation in combination with computational phantoms derived from medical imaging data. A framework was developed that allows computation of samples of calibration factors for various anatomies in standard measurement setups and anthropometric parameters quantifying anatomic properties. Those samples are applied to create statistical models to derive personalised calibration factors given specific values of anthropometric parameters measured on the person. This gives better estimates in activity assessment and, thereby, dose calculation while quantifying and reducing uncertainties.The framework was implemented in form of an abstract, modular data model, a software tool for modelling, simulation and evaluation of general body counting scenarios, and a statistical analysis method for correlating anthropometric parameters and calibration factors. This allows efficient and reproducible modelling for virtual measurement reconstruction as well as sensitivity analyses. The framework was applied to the calibration of the In Vivo Measurement Laboratory (IVM) at Karlsruhe Institute of Technology (KIT) comprising four freely arrangeable high-purity germanium detectors in lung, liver, knee and head measurement setups. Because of the interindividual anatomical variations in the applied phantoms and iv additional sensitivity analyses, it was possible to give estimates of the expected uncertainties and to reduce them through an algorithmically reproducible approach on calibration.

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Section: Detectorsmentioning

confidence: 99%

“…Detector geometries have been modelled in MCNPX syntax and are continuously optimized with respect to crystal dimensions, front dead layer and copper frame using point source measurements, radiography of the detector head, and parametric simulations (Elanique et al 2012;Marzocchi, Breustedt and Urban 2010).…”

Section: Detectorsmentioning

confidence: 99%

Personalised Body Counter Calibration Using Anthropometric Parameters

Pölz

Breustedt

2015

Radiat Prot Dosimetry

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“…As técnicas mais comuns utilizadas para o cálculo da eficiência são a calibração utilizando fontes com atividade conhecida ou por simulação pelo método de Monte Carlo (MC) (ELANIQUE et al, 2012;SIMA et al, 2009 Na literatura tem sido reportada uma diferença entre os valores experimentais e teóricos na obtenção da eficiência de detecção. Esse fato é atribuído às informações fornecidas pelo fabricante, variações da temperatura da sala, incerteza em parâmetros físicos do detector como a camada morta, entre outros associados ao cristal de Ge (ELANIQUE et al, 2012;AGARWAL et al, 2011a;HUY, 2010).…”

Section: Sumáriounclassified

“…Esse fato é atribuído às informações fornecidas pelo fabricante, variações da temperatura da sala, incerteza em parâmetros físicos do detector como a camada morta, entre outros associados ao cristal de Ge (ELANIQUE et al, 2012;AGARWAL et al, 2011a;HUY, 2010).…”

Section: Sumáriounclassified

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Desenvolvimento de uma metodologia para caracterização do filtro cuno do reator IEA-R1 utilizando o método de Monte Carlo

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Efficiency Calculation of Gamma Detectors byMonteCarlo Methods

Sima

2012

Encyclopedia of Analytical Chemistry

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γ‐Ray spectrometry is a powerful nondestructive multielemental analysis technique. Its quantitative application requires efficiency calibration. Among the methods available for the computation of the efficiency calibration curve, Monte Carlo simulation is ever increasing in popularity. The need for Monte Carlo simulation is the consequence of the inability of experimental calibration to cope with the broader scope and measuring configurations (shape, volume, and matrices of the samples), with the enhanced coincidence‐summing nuclide specific effects (favored by the current tendency to use high‐efficiency detectors) and with the desired performance parameters (detection limit and uncertainty) met in present‐day applications of γ‐ray spectrometry. The availability of a variety of Monte Carlo packages that can be applied to efficiency computation, several of them user friendly indeed, enlarged the class of potential users of this method. While experimental calibration remains the preferred method in the case of point sources and specific volume sources, such as solutions, it is the flexibility of Monte Carlo calculation that can provide a comprehensive calibration of γ‐ray detectors for a broad range of applications. In this article, the principles of Monte Carlo method are introduced, the applications to detector simulation are presented, and the solutions of typical problems in the calibration of γ‐spectrometry systems are reviewed.

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Dead layer thickness characterization of an HPGe detector by measurements and Monte Carlo simulations

Cited by 63 publications

References 16 publications

Personalised Body Counter Calibration Using Anthropometric Parameters

Personalised Body Counter Calibration Using Anthropometric Parameters

Desenvolvimento de uma metodologia para caracterização do filtro cuno do reator IEA-R1 utilizando o método de Monte Carlo

Efficiency Calculation of Gamma Detectors byMonteCarlo Methods

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