Gaussian Energy Broadening Function of an HPGe Detector in the Range of 40 keV to 1.46 MeV

Zadeh, E. Eftekhari; Feghhi, S.A.H.; Bayat, E.; Roshani, Gholam Hossein

doi:10.1155/2014/623683

Cited by 20 publications

(7 citation statements)

References 3 publications

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“…2, in order to compare them to the experimental results, were modified applying Gaussian broadening. While obtaining the spectra, the simulated energy is broadened by sampling from the Gaussian distribution [20]…”

Section: Resultsmentioning

confidence: 99%

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Efficiency calibration of high-purity germanium detector using Monte Carlo simulations including coincidence-summing corrections: volume source case

Konstantinova¹,

Germanas²,

Gudelis³

et al. 2021

physics

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The gamma-ray spectrometry by the instrumentality of Ge detectors is used for the detection of low activity environmental samples of different geometry (soil samples, air filters with aerosols, milk powder, etc.). Such measurements require separate calibration of the detector. The high purity germanium (HPGe) gamma-ray spectrometer of GC2520 series was used for experiments. For the efficiency calibration, three cylindrical containers filled with different 60Co water solution levels were used, and the gamma-ray coincidence summing was modelled using MCNP6. The dimensions of the pure germanium crystal, provided by Canberra, were used for the simulations. The true coincidence summing takes place when two or more gamma quanta, which are emitted in a cascade from an excited nucleus, are detected within the resolving time of the detector. However, there is often a mismatch between the simulated and experimental efficiencies. The experimentally obtained and modelled spectra were compared: a good consistency of experimental and modelled results allows investigating the volume sources. During the simulation it was found that the factors affecting the accuracy of modelling are the thickness of the dead layer, crystal dimensions and the thickness of the Al detector cap. The analysis allows measuring the radionuclides activity concentration of samples placed in the containers with different filling heights having only standard shape calibration sources. The obtained accuracy is sufficient to fulfil criteria of 5–10% for such type of simulation to be applied for measurements of real samples in standard BURK-60 containers of various sample filling heights.

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Section: Resultsmentioning

confidence: 99%

“…The results are shown in Table 2. There was no need to change other parameters of the crystal, since the obtained uncertainties of no more than 3% are acceptable and meet the criteria of 5-10% [20].…”

Section: Resultsmentioning

confidence: 99%

Efficiency calibration of high-purity germanium detector using Monte Carlo simulations including coincidence-summing corrections: volume source case

Konstantinova¹,

Germanas²,

Gudelis³

et al. 2021

physics

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show abstract

“…To record the energy spectrum of incident photons in the detector, Pulse Height Tally F8 was utilized. To consider the photon spectrum broadening in MCNPX code, we implemented the Gaussian energy broadening "FT8 GEB" option in the MCNPX code [30]. The "FT8 GEB" card contains three parameters: a, b, and c [30], which should be determined experimentally for a specific detector.…”

Section: Detector Modelingmentioning

confidence: 99%

“…To consider the photon spectrum broadening in MCNPX code, we implemented the Gaussian energy broadening "FT8 GEB" option in the MCNPX code [30]. The "FT8 GEB" card contains three parameters: a, b, and c [30], which should be determined experimentally for a specific detector. In our former study [6], we calculated the required parameters for a 1 inch × 1 inch NaI crystal detector using some experimental laboratory work.…”

Section: Detector Modelingmentioning

confidence: 99%

Feasibility Study of Using X-ray Tube and GMDH for Measuring Volume Fractions of Annular and Stratified Regimes in Three-Phase Flows

et al. 2021

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In this paper, the feasibility of using an X-ray tube instead of radioisotope sources for measuring volume fractions of gas, oil, and water in two typical flow regimes of three-phase flows, namely, annular and stratified, is evaluated. This study’s proposed detection system is composed of an X-ray tube, a 1 inch × 1 inch NaI detector, and one Pyrex-glass pipe to model different volume fractions for two flow regimes, annular and stratified. Group method of data handling (GMDH), a powerful regression tool, was also implemented to analyze the obtained data. The obtained results in this work indicate that a simple system based on an X-ray tube and just one NaI detector could be a potential alternative to radioisotope-based systems for separate measurements of gas, oil, and water volume fractions in annular and stratified flow regimes of a three-phase flow.

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“…Only photons and neutrons were considered, and importance factor 1 was assigned for all cells. To work in a real world, a model of HPGe detector [22] Fig. 4 The proposed ANN model typical gamma-ray spectrum for a cement sample simulated by MCNPX is shown in Fig.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Combined application of neutron activation analysis using IECF device and neural network for prediction of cement elements

Roshani

Eftekhari-Zadeh

Shama

et al. 2017

Radiat Detect Technol Methods

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Purpose Gamma spectrum of a cement sample is not straightforward to analyze as a result of peak overlapping produced by Compton effect of gamma rays radiated from activated elements in the neutron activation process and also because of the change into the neutron energy spectrum in the target sample during activation. Methods Artificial neural network (ANN) is an excellent solution for complex and nonlinear systems. Consequently, the use of ANN for quantitative analysis of major cement elements including Ca, Si, Al, and Fe would be very advantageous. Iranian inertial electrostatic confinement fusion device is a fast, monoenergetic and steady neutron generator. It was simulated as a high-energy neutron source for performing neutron activation analysis. In the present study, a library of 29 members of delayed gamma-ray spectra of knowing cement samples were generated via MCNPX version 2.7. Specific photo-peaks related to Ca, Si, Al and Fe obtained from these spectra were used as inputs for ANN (21 of them for training and 8 for testing). Then, using MLP architecture, an ANN model has been presented to model the system to predict the percentages of the elements in cement. The ANN model is optimized to have only a hidden layer with five neurons. Results The comparison between modeling data and results of proposed MLP network shows that there is a good consistency between them. The MAE of training set for Ca, Si and Fe outputs were 0.0351, 0.0656 and 0.0660, respectively, and the MAE of testing set for mentioned outputs were 0.0997, 0.3046 and 0.8699, respectively. Conclusion Overall, it can be concluded that the defined dispensable errors show that this modeling is a good one as a prediction tool for the mentioned purpose.

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Gaussian Energy Broadening Function of an HPGe Detector in the Range of 40 keV to 1.46 MeV

Cited by 20 publications

References 3 publications

Efficiency calibration of high-purity germanium detector using Monte Carlo simulations including coincidence-summing corrections: volume source case

Efficiency calibration of high-purity germanium detector using Monte Carlo simulations including coincidence-summing corrections: volume source case

Feasibility Study of Using X-ray Tube and GMDH for Measuring Volume Fractions of Annular and Stratified Regimes in Three-Phase Flows

Combined application of neutron activation analysis using IECF device and neural network for prediction of cement elements

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