Characterization of the virtual point detector effect for coaxial HPGe detectors using Monte Carlo simulation

Author(s):  
A.S. Hoover
2020 ◽  
Vol 17 (1) ◽  
pp. 15
Author(s):  
Sedigheh Sina ◽  
Zahra Molaeimanesh ◽  
Mehrnoosh Karimipoorfard ◽  
Zeinab Shafahi ◽  
Maryam Papie ◽  
...  

The virtual point detector concept is a useful concept in gamma ray spectroscopy. In this study, the virtual point detector, h0, was obtained for HPGe detectors of different sizes using MCNP5 Monte Carlo simulations. The HPGe detectors with different radii (rd), and height (hd), having Aluminum, or Carbon windows, were simulated. A point photon source emitting several gammas with certain energies was defined at distance x of the detectors. The pulse height distribution was scored using F8 tally. Finally, artificial neural network was used for predicting the h0 values for every value of hd, rd, and x. Because of the high simulation duration of MCNP code, a trained ANN is used to predict the value of h0 for each detector size. The results indicate that the Artificial Neural Network (ANN) can predict the virtual point detector good accuracy. 


2020 ◽  
Vol 17 (1) ◽  
pp. 15
Author(s):  
Sedigheh Sina ◽  
Zahra Molaeimanesh ◽  
Mehrnoosh Karimipoorfard ◽  
Zeinab Shafahi ◽  
Maryam Papie ◽  
...  

The virtual point detector concept is useful in gamma-ray spectroscopy. In this study, the virtual point detector, h0, was obtained for High Purity Germanium (HPGe) detectors of different sizes using MCNP5 Monte Carlo simulations. The HPGe detectors with different radii (rd), and height (hd), having aluminum, or Carbon windows, were simulated. A point photon source emitting several gammas with specific energies was defined at a distance x of the detectors. The pulse height distribution was scored using F8 tally. Finally, the artificial neural network was used for predicting the h0 values for every value of hd, rd, and x. Because of the high simulation duration of MCNP code, a trained ANN is used to predict the value of h0 for each detector size. The results indicate that the Artificial Neural Network (ANN) can predict the virtual point detector good accuracy. 


2020 ◽  
Vol 50 (1) ◽  
pp. 53-67
Author(s):  
Fabio L. Melquiades ◽  
Sandro V. Santos ◽  
Fabio Lopes ◽  
Juan Villanueva ◽  
Jorge L. Ticona ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document