Monte Carlo simulation of several gamma-emitting source and detector arrangements for determining corrections of self-attenuation and coincidence summation in gamma-spectrometry

Haase, G.; Tait, David; Wiechen, A.

doi:10.1016/0168-9002(93)91284-t

Cited by 35 publications

(9 citation statements)

References 3 publications

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“…As the sediment samples studied have densities within the interval 0.8-1.7 g/cm 3 , the linear attenuation  is, therefore, higher for the most dense samples. For every sample M having a density  M , the linear attenuation is then (14) It must be indicated that the existence of a common value of  mas for a set of samples extracted from a determined environment is not always fulfi lled. In particular, this common coeffi cient does not exist when samples show very different compositions or when there are high variations in the granulometry among the samples [11].…”

Section: Mass Attenuation Coeffi Cient Of Sediment Samplesmentioning

confidence: 99%

Precise determination of HPGe detector efficiency for gamma spectrometry measurements of environmental samples with variable geometry and density

et al. 2017

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A methodology to determine the full energy peak efficiency (FEPE) for precise gamma spectrometry measurements of environmental samples with high-purity germanium (HPGe) detector, valid when this efficiency depends on the energy of the radiation E, the height of the cylindrical sample H, and its density ρ, is introduced. The methodology consists of an initial calibration as a function of E and H and the application of a self-attenuation factor, depending on the density of the sample ρ, in order to correct for the different attenuation of the generic sample in relation to the measured standard. The obtained efficiency can be used in the whole range of interest studied, E = 120–2000 keV, H = 1–5 cm, and ρ = 0.8–1.7 g/cm3, being its uncertainty below 5%. The efficiency has been checked by the measurement of standards, resulting in a good agreement between experimental and expected activities. The described methodology can be extended to similar situations when samples show geometric and compaction differences.

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Section: Mass Attenuation Coeffi Cient Of Sediment Samplesmentioning

confidence: 99%

Precise determination of HPGe detector efficiency for gamma spectrometry measurements of environmental samples with variable geometry and density

et al. 2017

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“…However, real point source emit photons having the angle distribution is 4. For this reason, the total efficiency of detector for the point sourcedetector arrangement was determined as follows [2]:…”

Section: Trang 28mentioning

confidence: 99%

“…In addition to analytical method, Monte Carlo method was also used to determine the total efficiency of NaI(Tl) crystal because of the simplicity of this method [2,5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the total and intrinsic efficiencies of a 3 in x 3 in NaI(Tl) crystal by using the hybrid Monte Carlo method

2013

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In this work, we developed a Fortran code (CalcTotEff) to calculate the intrinsic and total efficiencies of a 3 in x 3 in NaI(Tl) crystal by using the hybrid Monte Carlo method. To confirm the reliability of the results of the total efficiency calculated, an experimental arrangement was set up. The results showed the compatibility between the calculated and experimental data. We also used the hybrid Monte Carlo method to evaluate the dependence of the intrinsic efficiency on d/R ratio (d is the distance from the surface detector to point source and R is the radius of NaI(Tl) crystal).

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“…These pioneering works were followed by new developments: Monte Carlo simulation was used by Decombaz (Decombaz et al, 1992) for coincidence summing correction. Later the correction factors were determined with a mixture of Monte Carlo simulation for computing efficiencies and numerical computation of the corrective factors (Sima and Arnold, 2000;Haase et al, 1993). Furthermore, different practical approaches were developed by a number of authors such as Solc et al (in press), Xie et al (2014), Sahiner and Meric (2014), Tomatchino andRizzo (2011), Jutier et al (2007) and Vidmar and Korun (2006).…”

Section: Introductionmentioning

confidence: 99%

Building-up a code for the purpose of TRUE coincidence summing correction in gamma-ray spectrometry with EGS4

Çeli̇k

Altin

Çevik

2015

Radiation Physics and Chemistry

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Monte Carlo simulation of several gamma-emitting source and detector arrangements for determining corrections of self-attenuation and coincidence summation in gamma-spectrometry

Cited by 35 publications

References 3 publications

Precise determination of HPGe detector efficiency for gamma spectrometry measurements of environmental samples with variable geometry and density

Precise determination of HPGe detector efficiency for gamma spectrometry measurements of environmental samples with variable geometry and density

Evaluation of the total and intrinsic efficiencies of a 3 in x 3 in NaI(Tl) crystal by using the hybrid Monte Carlo method

Building-up a code for the purpose of TRUE coincidence summing correction in gamma-ray spectrometry with EGS4

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