A national campaign was carried out in Italy for the application of coincidence-summing correction in gamma-ray spectrometry. Twelve laboratories, belonging to the National Environmental Radioactivity Surveillance Network, took part in the campaign. They are equipped with gamma-ray spectrometry systems based on p- and n-type HPGe detectors with different relative efficiencies. A simplified procedure was used for coincidence-summing correction. This procedure requires a single-photon, single-nuclide source to measure the peak-to-total efficiency ratio at just one photon energy value. All the laboratories were given a 137Cs standard source for total efficiency determination, and a 134Cs source in the same geometry whose activity they had to determine. The results show the usefulness of the procedure. The average deviation of all the laboratory results from the ENEA-INMRI reference value was reduced from -12% before correction to +1% after correction. The paper gives a description of the different organisational aspects of the campaign, reports the results obtained and draws conclusions in which the gain in measurement accuracy is evaluated in the light of the effort required for each participant to perform the correction.
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http://dx.doi.org/10.1016/s0969-8043(01)00176-2 | DOI Listing |
Appl Radiat Isot
February 2024
SCK-CEN, Belgian Nuclear Research Centre, Boeretang 200, 2400, Mol, Belgium.
The goal of this study is to provide a benchmark for the use of Monte Carlo simulation when applied to coincidence summing corrections. The examples are based on simple geometries: two types of germanium detectors and four kinds of sources, to mimic eight typical measurement conditions. The coincidence corrective factors are computed for four radionuclides.
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December 2023
Physics Department, University of Bucharest, 405 Atomistilor Str, P.O. Box MG-11, Magurele, Ilfov, RO-077125, Romania; National Institute of R&D for Physics and Nuclear Engineering-Horia Hulubei (IFIN-HH), ELI-NP, Bucharest-Magurele, P.O. Box MG-6, RO-077125, Romania. Electronic address:
The uncertainty component of high efficiency gamma-ray spectrometry measurements due to the uncertainty of the decay parameters is evaluated. It is based on the analysis of a large set of random decay schemes, constructed using the values and uncertainties of the decay parameters taken from data libraries. The distributions of the coincidence-summing correction factors F, of the factors p⋅F (p = photon emission intensity), and of the correlations between the distribution of pairs of these factors are constructed and analysed.
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October 2023
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China. Electronic address:
Production of medical isotopes has recently been developed at the Institute of Modern Physics (IMP) in China and many aqueous samples containing produced radioisotopes at wide range of volume were generated. Evaluation of radionuclidic purity and quantification of radioactivity for these samples are of significant importance, especially for medical purpose. High purity germanium (HPGe) detectors and gamma spectrometry are widely used in radionuclidic purity evaluation due to the high energy resolution.
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October 2023
Saha Institute of Nuclear Physics, 1/AF, Bidhan Nagar, Kolkata, 700064, India; Homi Bhabha National Institute, Anushaktinagar, Mumbai, 400094, India. Electronic address:
The true coincidence summing correction factor for a Broad Energy Germanium detector has been calculated at far and close geometry set-up using radioactive γ-ray sources. The correction factors were calculated using both experimental and analytical methods. Geant4 simulation was done to calculate the full-energy peak and total efficiencies of the detector.
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February 2023
Environmental Radioactivity Monitoring Department, Greek Atomic Energy Commission (EEAE), Greece.
This work aims at providing a Monte-Carlo based methodology for calculating true coincidence correction (TCC) factors for volume sources of varying density. All simulations were carried out using the most recent version of Monte Carlo code PENELOPE. The main program PENMAIN was used for the calculation of full energy peak efficiencies.
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