A detailed investigation of HPGe detector response for improved Monte Carlo efficiency calculations

Boson, Jonas; Ågren, Göran I.; Johansson, Lennart

doi:10.1016/j.nima.2008.01.062

Cited by 132 publications

(48 citation statements)

References 37 publications

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“…This includes inaccuracies introduced by MCNP in its use of (1) physics models, (2) uncertainties in the photon cross sections (<2%) over the considered energy range [6] and (3) eventually poor modelling of the actual detector geometry by the MC simulations. Indeed, the detector specifications, generally provided by the manufacturer, are often not sufficient and sometimes need to be optimised by radiographic imaging [3,4,7]. By contrast, precision of the MC method is the statistical counting error caused by the statistical fluctuations…”

Section: Accuracy Versus Precision Of the Mcnp Resultsmentioning

confidence: 99%

Monte Carlo modelling of a NaI(Tl) scintillator detectors using MCNP simulation code

Mouhti¹,

Elanique²,

Messous³

2017

JMES

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Due to their attractive performances, inorganic scintillators such as NaI(Tl) detectors are widely used in the field of gamma-ray spectrometry where knowledge of detector efficiency is a key factor for successful quantitative  ray analysis. Monte Carlo simulations using MCNP code have been performed in order to evaluate absolute efficiency of NaI detectors. Two mathematical models were constructed for the NaI crystal: 7.62cm x 7.62cm cylindrical NaI and 7.62cm diameter spherical NaI. Detector efficiency was calculated for both NaI detectors in the photon energy range from 60 keV to 2750 keV. Simulation results were compared to experimental efficiency data.

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Section: Accuracy Versus Precision Of the Mcnp Resultsmentioning

confidence: 99%

Monte Carlo modelling of a NaI(Tl) scintillator detectors using MCNP simulation code

Mouhti¹,

Elanique²,

Messous³

2017

JMES

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“…The method is similar to that presented in [33] and [34] in which a collimated beam of gamma rays was incident on the detector surface at different angles.…”

Section: Determination Of the Full Charge Collection Depthmentioning

confidence: 99%

Characteristics of signals originating near the lithium-diffused N+ contact of high purity germanium p-type point contact detectors

Aguayo

Amman

Avignone

et al. 2013

Nuclear Instruments and Methods in Physics Research Section A:

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A study of signals originating near the lithium-diffused n+ contact of p-type point contact (PPC) high purity germanium detectors (HPGe) is presented. The transition region between the active germanium and the fully dead layer of the n+ contact is examined. Energy depositions in this transition region are shown to result in partial charge collection. This provides a mechanism for events with a well defined energy to contribute to the continuum of the energy spectrum at lower energies. A novel technique to quantify the contribution from this source of background is introduced. Experiments that operate germanium detectors with a very low energy threshold may benefit from the methods presented herein.

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“…All the computations presented in this work were carried out for a detector that was characterized by careful measurements (Boson et al, 2008) and applied for in situ assessment of 137 Cs deposition (Boson et al, 2009).…”

Section: Validationmentioning

confidence: 99%

Monte Carlo simulation by GEANT 4 and GESPECOR of in situ gamma-ray spectrometry measurements

Chirosca

Șuvăilă

Sima

2013

Applied Radiation and Isotopes

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A detailed investigation of HPGe detector response for improved Monte Carlo efficiency calculations

Cited by 132 publications

References 37 publications

Monte Carlo modelling of a NaI(Tl) scintillator detectors using MCNP simulation code

Monte Carlo modelling of a NaI(Tl) scintillator detectors using MCNP simulation code

Characteristics of signals originating near the lithium-diffused N+ contact of high purity germanium p-type point contact detectors

Monte Carlo simulation by GEANT 4 and GESPECOR of in situ gamma-ray spectrometry measurements

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