Author: Jiaxin Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 176
Book Description
Monte Carlo Optimization of Coincidence Prompt Gamma-ray Neutron Activation Analysis
Development of Monte Carlo Code for Coincidence Prompt Gamma-ray Neutron Activation Analysis
Author: Xiaogang Han
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
Book Description
Keywords: PGNAA, Coincidence measurement, Monte Carlo, MCNP.
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
Book Description
Keywords: PGNAA, Coincidence measurement, Monte Carlo, MCNP.
The Analog Linear Interpolation Approach for Monte Carlo Simulation of Prompt Gamma-Ray Neutron Activation Analysis
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The Monte Carlo code (CEARPGA I) was developed to generate the elemental library spectra required for implementing the Monte Carlo Library Least-Squares algorithm for prompt gamma-ray neutron activation analysis (PGNAA). The existing big weight problem in which a few histories yield very large weights with very large variance has been investigated thoroughly. It has been found that the expected value splitting technique, a powerful variance reduction technique used in the code is the primary cause of this problem. Two Monte Carlo simulation approaches have been investigated to eliminate the big weight problem while still maintaining high efficiency. They are 1) score importance map with batch tracking and 2) analog linear interpolation. Both approaches were implemented separately in the corresponding Monte Carlo codes on the basis of CEARPGA I code and demonstrated to be feasible for solving the big weight problem. The analog linear interpolation approach was selected to incorporate into the new CEARPGA Monte Carlo code (CEARPGA II). A comparison of the results obtained by both CEAEPGA I and CEARPGA II codes as well as experimentally measured data shows that the big weight problem has been successfully eliminated, the accuracy of the simulation has improved greatly, and the simulated results agree very well with the measured data. In addition, some other important improvements have been made in the CEARPGA II to make it more accurate, efficient and powerful, including: 1) tracking pair production gamma rays, 2) incorporating neutron activation background spectra, 3) generating natural background spectra, 4) taking into account the non-linearity of NaI detectors, and 5) adopting a general geometry package.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The Monte Carlo code (CEARPGA I) was developed to generate the elemental library spectra required for implementing the Monte Carlo Library Least-Squares algorithm for prompt gamma-ray neutron activation analysis (PGNAA). The existing big weight problem in which a few histories yield very large weights with very large variance has been investigated thoroughly. It has been found that the expected value splitting technique, a powerful variance reduction technique used in the code is the primary cause of this problem. Two Monte Carlo simulation approaches have been investigated to eliminate the big weight problem while still maintaining high efficiency. They are 1) score importance map with batch tracking and 2) analog linear interpolation. Both approaches were implemented separately in the corresponding Monte Carlo codes on the basis of CEARPGA I code and demonstrated to be feasible for solving the big weight problem. The analog linear interpolation approach was selected to incorporate into the new CEARPGA Monte Carlo code (CEARPGA II). A comparison of the results obtained by both CEAEPGA I and CEARPGA II codes as well as experimentally measured data shows that the big weight problem has been successfully eliminated, the accuracy of the simulation has improved greatly, and the simulated results agree very well with the measured data. In addition, some other important improvements have been made in the CEARPGA II to make it more accurate, efficient and powerful, including: 1) tracking pair production gamma rays, 2) incorporating neutron activation background spectra, 3) generating natural background spectra, 4) taking into account the non-linearity of NaI detectors, and 5) adopting a general geometry package.
Le Bastion de la foy chrestienne, propre povr rembarrer les ennemis de l'euangile
A Monte Carlo Model for Neutron Capture Prompt Gamma-ray Analysis of Coal in Transmission Geometry
Monte Carlo Studies of Gamma-ray and Neutron Transport in Infinite Homogeneous Media
Author: Theodore E. Fessler
Publisher:
ISBN:
Category : Nuclear physics
Languages : en
Pages : 54
Book Description
Publisher:
ISBN:
Category : Nuclear physics
Languages : en
Pages : 54
Book Description
Development of the Monte Carlo - Library Least-squares Method of Analysis for Neutron Capture Prompt Gamma Ray Analyzers
Author: Chaur-Ming Shyu
Publisher:
ISBN:
Category : Monte Carlo method
Languages : en
Pages : 141
Book Description
Publisher:
ISBN:
Category : Monte Carlo method
Languages : en
Pages : 141
Book Description
Monte Carlo Simulation of the Complete Spectral Response of Prompt Gamma Ray Analysis Systems
A Monte Carlo Model for Prompt Gamma-ray Analysis Systems of Interest to the Mining Industries
Author: Thomas Christopher Clark
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
Book Description
Forward Monte Carlo Calculation of Coincidence Gamma-Ray Spectra
Author: Adan Faustino Calderón (Jr.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 79
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 79
Book Description