Efficiency calibration of a HPGe detector in the [46.54–2000] keV energy range for the measurement of environmental samples

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%.

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True coincidence summing corrections for an extended energy range HPGe detector

10.1063/1.4927193 ◽

2015 ◽

Author(s):

Y. Venegas-Argumedo ◽

M. E. Montero-Cabrera

Keyword(s):

Energy Range ◽

Hpge Detector ◽

True Coincidence ◽

True Coincidence Summing ◽

Coincidence Summing

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Study on analyzing overlaped peaks using the Gold algorithm of unfolding

Science and Technology Development Journal ◽

10.32508/stdj.v19i2.791 ◽

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

Keyword(s):

Gamma Spectrometry ◽

Environmental Samples ◽

Hpge Detector ◽

Gamma Spectrum ◽

Low Level ◽

Continuum Region ◽

Gamma Spectra

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.

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Gamma spectroscopy methodology for large amounts of environmental samples in Sweden 30 years after the Chernobyl accident

EPJ Web of Conferences ◽

10.1051/epjconf/202023925002 ◽

2020 ◽

Vol 239 ◽

pp. 25002

Author(s):

Mattias Lantz ◽

Erik Andersson-Sundén ◽

Peter Andersson ◽

Abigail Barker ◽

Cecilia Gustavsson ◽

...

Keyword(s):

Chernobyl Accident ◽

Environmental Samples ◽

Hpge Detector ◽

Gamma Spectroscopy ◽

Soil Samples ◽

Biological Processes ◽

Transfer Factors ◽

Radon Daughters ◽

Citizen Science Project ◽

Swedish Citizen

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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