Application of the Monte Carlo efficiency transfer method to an HPGe detector with the purpose of environmental samples measurement

2015 ◽  
Vol 97 ◽  
pp. 59-62 ◽  
Author(s):  
Yasser Morera-Gómez ◽  
Héctor A. Cartas-Aguila ◽  
Carlos M. Alonso-Hernández ◽  
Jose L. Bernal-Castillo ◽  
Aniel Guillén-Arruebarrena
Author(s):  
Le Thi Ngoc Trang ◽  
Huynh Dinh Chuong ◽  
Tran Thien Thanh

In this paper, the Monte Carlo efficiency transfer method was used to calibrate the full energy peak efficiency (FEPE) of a coaxial p-type HPGe detector. The gamma standard radioactive sources including 22Na, 54Mn, 57Co, 60Co, 65Zn, 109Cd,133Ba, 137Cs, 154Eu, 207Bi, 241Am were measured at different positions on-center of detector with the distance of 5, 10, 15, 20, 25 cm. Besides, a cylindrical sample containing standard mixed nuclides solution was also measured at surface of the detector. The experimental FEPE curves as function of gamma energy for these geometries were determined with the coincidence-summing corrections. A HPGe detector model based on the specifications of manufacturer was built to directly calculate the FEPE for the geometries by Monte Carlo simulations with MCNP6 code. However, these simulated FEPEs show a quite high discrepancy from experimental FEPEs. Then, the FEPEs were calculated by the efficiency transfer method with the efficiency curve for point source at distance of 25 cm as the reference data. A good agreement was obtained between the calculated results by the Monte Carlo efficiency transfer method and experimental results. The comparisons between experimental and calculated FEPE showed that the relative deviations were mostly within +/-4% in the energy range of 53-1770 keV.  


2020 ◽  
Vol 17 (2) ◽  
pp. 13
Author(s):  
Eliyeh Zamani ◽  
Sedigheh Sina ◽  
Reza Faghihi ◽  
Banafshe Zeinali-Rafsanjani

Gamma spectroscopy using HPGe is one of the most effective methods in determining the concentration of gamma emitting radionuclides in environmental samples. The purpose of this study is obtaining the efficiency calibration curves for the HPGe detector using MCNP5 Monte Carlo code, and designing appropriate software for correction of self-absorption caused by changes in density, height, and geometry of different samples. For this purpose the detector was simulated using MCNP5 Monte Carlo code, and the detector calibration curves were obtained for different geometries and heights, and appropriate software was designed for efficiency calibration. The results obtained in this study, show that changing the height, geometry, and density of the samples have significant effects on the detector efficiency because of the changes in self-absorption of the samples. Comparison of the self-absorption correction using the software, and the results of simulations show that designed software can predict the calibration curves for the new samples in different energies with error much less than 1%.


2013 ◽  
Vol 28 (2) ◽  
pp. 169-181 ◽  
Author(s):  
Maurice Miller ◽  
Mitko Voutchkov

The objective of this study is to model the impact of uncertainties in the engineering specifications of a typical p-type HPGe detector on the efficiency values when the measured soil sample is in contact geometry with the detector. We introduce a parameter named the normalized sensitivity impact which allows a comparative analysis to be made of the impact of the detector specification uncertainties and develop a correction factor table for the most important parameters. The areas of the detector most susceptible to error were found to be the crystal geometry, vacuum layer above the crystal and the bulletizing radius. In all cases the major impacts were mathematically modeled - for the first time - and found to vary either quadratically or logarithmically over the energy range of 180 keV to 1500 keV. Finally, we propose a set of detector characterization values that may be used in ANGLE for generating a reference efficiency curve using the efficiency transfer method inherent in this software. These values are to be used with the understanding that their uncertainty impact on the full-peak efficiency though not very significant in this counting arrangement, is not non-zero.


2016 ◽  
Vol 88 ◽  
pp. 1-6 ◽  
Author(s):  
M.T. Haj-Heidari ◽  
M.J. Safari ◽  
H. Afarideh ◽  
H. Rouhi

2016 ◽  
Vol 19 (2) ◽  
pp. 71-79
Author(s):  
Loan Thi Hong Truong ◽  
Hoa Phuc Long Cao ◽  
Phuong Dang Nguyen ◽  
My Thi Thao Dang ◽  
Huy Quang Ngo

In this work, we initially applied the Gold unfolding algorithm to deconvolute continuum region in the gamma spectra and to analyze its overlaped peaks for the gamma spectrometry using HPGe detector. The results could be used to analyse overlaped peaks of low level gamma spectrum for environmental samples.


2019 ◽  
Vol 53 (3) ◽  
pp. 16-22
Author(s):  
Jinzhao Zhang ◽  
Hongzhi Li ◽  
Xianguo Tuo

AbstractIn-situ measurement of marine sediment radioactivity does not destroy the stratification of radionuclides in the sediment. We develop a novel seabed sediment radioactive measurement technique using a High Purity Germanium (HPGe) detector. The overall measurement system is designed, and the detector energy calibration is performed. The efficiency is calculated based on Monte Carlo simulations using the MCNP5 code. We compared the efficiency and energy resolution with the NaI(Tl) detection through experiments. NaI(Tl) detection is incapable of identifying the 137Cs artificial nuclides in seabed sediments due to the energy resolution limit. Hence, underwater HPGe detection is utilized due to its high energy resolution, which enables the detection of artificial nuclides 137Cs. The proposed method is of great significance in evaluating marine radioactive pollution.


2020 ◽  
Vol 239 ◽  
pp. 25002
Author(s):  
Mattias Lantz ◽  
Erik Andersson-Sundén ◽  
Peter Andersson ◽  
Abigail Barker ◽  
Cecilia Gustavsson ◽  
...  

In a Swedish citizen science project, more than 200 elementary school classes participated in collecting fungi, soil samples, and droppings from deer and wild boar, from all over Sweden. The samples have been sent to a laboratory at Uppsala University where they are being analyzed through gamma spectroscopy with a shielded HPGe detector. The main objective is to scan the samples for 137Cs from the Chernobyl accident and compare the data with measurements from 1986, but uptake of naturally occuring radionuclides like 40K and radon daughters will also be determined. Together with the soil samples, transfer factors will be derived, and correlations for these factors will be sought for different species of fungi and soil types. The potential for correlating the results with different biological processes will also be investigated, in part through the collected animal droppings. This is a work in progress where the present status of the experimental setup and methodology are presented. Issues with the initial approach for corrections are discussed and preliminary results are presented.


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