Using GEANT4 Monte Carlo simulations to resolve low energy γ-ray spectra: The study of 164Hog+m decay using a broad energy HPGe detector

2021 ◽  
Vol 985 ◽  
pp. 164711
Author(s):  
E. Georgali ◽  
N. Patronis ◽  
A. Anastasiadis ◽  
M. Axiotis ◽  
S. Harissopulos ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Hpge Detector ◽  
Low Energy ◽  
Γ Ray ◽  
Broad Energy

Determining the efficiency of a broad-energy HPGe detector using Monte Carlo simulations

2012 ◽  
Vol 295 (3) ◽  
pp. 2035-2041 ◽  
Author(s):  
R. Britton ◽  
J. Burnett ◽  
A. Davies ◽  
P. H. Regan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Hpge Detector ◽  
Broad Energy

In-Situ Measurement of Artificial Nuclides in Seabed Sediments Based on Monte Carlo Simulations and an Underwater HPGe Detector

2019 ◽  
Vol 53 (3) ◽  
pp. 16-22
Author(s):  
Jinzhao Zhang ◽  
Hongzhi Li ◽  
Xianguo Tuo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Energy Resolution ◽  
Hpge Detector ◽  
High Energy ◽  
In Situ Measurement ◽  
Energy Calibration ◽  
High Energy Resolution ◽  
Seabed Sediments

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.

Interface dosimetry: measurements and Monte Carlo simulations of low-energy photon beams

2001 ◽  
Vol 61 (3-6) ◽  
pp. 593-595 ◽  
Author(s):  
Indra J. Das ◽  
Alireza Kassaee ◽  
Frank Verhaegen ◽  
Vadim P. Moskvin
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Low Energy ◽  
Photon Beams ◽  
Energy Photon

Quantitative Analysis of the Evolution of Surface Growth Morphology in LEEM

1998 ◽  
Vol 05 (06) ◽  
pp. 1151-1158 ◽  
Author(s):  
J. B. Hannon ◽  
G. L. Kellogg ◽  
M. C. Bartelt ◽  
N. C. Bartelt
Keyword(s):  
Electron Microscopy ◽  
Monte Carlo ◽  
Quantitative Analysis ◽  
Diffusion Equation ◽  
Monte Carlo Simulations ◽  
Low Energy ◽  
Growth Morphology ◽  
Equation Analysis ◽  
Low Energy Electron ◽  
And Diffusion

We describe Monte Carlo simulations and diffusion equation analysis which are useful in deriving kinetic parameters from low energy electron microscopy experiments. An analysis of the etching of the Si(001) surface with molecular oxygen is made, illustrating the power of these techniques.

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