Detection efficiency calibration for an array of fourteen HPGe detectors

The CUP array of germanium (CAGe) is an array of fourteen high-purity germanium (HPGe) detectors. The detection efficiency of full-energy-peak emitted from the various samples assayed on the CAGe was calculated using the Monte Carlo simulation toolkit GEANT4. If the dead layer on the surface of the...

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Veröffentlicht in:Applied radiation and isotopes 2023-03, Vol.193, p.110654-110654, Article 110654
Hauptverfasser: Park, S.Y., Hahn, K.I., Kang, W.G., Kazalov, V., Kim, G.W., Kim, Y.D., Lee, E.K., Lee, M.H., Leonard, D.S., Sala, E., So, J.H., Yoon, S.C.
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Sprache:eng
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Zusammenfassung:The CUP array of germanium (CAGe) is an array of fourteen high-purity germanium (HPGe) detectors. The detection efficiency of full-energy-peak emitted from the various samples assayed on the CAGe was calculated using the Monte Carlo simulation toolkit GEANT4. If the dead layer on the surface of the crystal is treated in the simulation as a continuous part of the active crystal, then the detection efficiency will be overestimated. Thus, the detection efficiency of the CAGe was adjusted using multi-nuclide source data and Monte Carlo simulations. The gamma spectra of the known activity source were obtained for each HPGe detector of the CAGe. The detection efficiency measured by the multi-source data was smaller than that of simulation data if the simulation treated the whole volume of germanium crystals as active for gamma detection. By optimizing the dead layers’ thicknesses in the simulation, the detection efficiency calculated by the simulation could be matched to that of multi-source data. •Detection efficiency of an array of fourteen HPGe detectors was adjusted using Monte Carlo simulation and multi-source data.•Eleven gamma energy peaks emitted from multi-source are used for the detection efficiency calibration.•Good agreement between simulation and measurement is found by dead layer thickness optimizing in GEANT4 simulation geometry.
ISSN:0969-8043
1872-9800
DOI:10.1016/j.apradiso.2023.110654