Investigation of Tissue Heterogeneity on the TG-43 Parameters for a Typical Electronic Brachytherapy X-Ray Source, Using Monte Carlo Simulation Method

Brachytherapy ◽  
2010 ◽  
Vol 9 ◽  
pp. S45 ◽  
Author(s):  
Habib Safigholi ◽  
Ali S. Meigooni ◽  
Reza Faghihi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Method ◽  
Monte Carlo Simulation Method ◽  
Tissue Heterogeneity ◽  
X Ray ◽  
Electronic Brachytherapy

X-ray Microanalysis of a Coated Nonconductive Specimen: Monte Carlo Simulation

2004 ◽  
Vol 10 (6) ◽  
pp. 776-782 ◽  
Author(s):  
Hendrix Demers ◽  
Raynald Gauvin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electric Field ◽  
Charge Density ◽  
Depth Distribution ◽  
Simulation Method ◽  
Monte Carlo Simulation Method ◽  
X Ray ◽  
A Charge ◽  
Scanning Electron

The microanalysis of nonconductive specimen in a scanning electron microscope is limited by charging effects. Using a charge density model for the electric field buildup in a nonconductive specimen irradiated by electrons, a Monte Carlo simulation method has been applied to alumina (Al2O3). The results show a change in the depth distribution for characteristic and bremsstrahlung X-ray, φ(ρz) curves, and ψ(ρz) curves (with absorption) for both elements' Kα lines. The influence of the electric field on the measured X-ray intensity is shown. The dependency of this influence by the three parameters, electron energy, X-ray energy, and charge density, is clarified.

Adaptation of the Fundamental Parameters Monte Carlo Simulation to EDXRF Analysis with Secondary Fluorescer X-Ray Machines

1977 ◽  
Vol 21 ◽  
pp. 129-142 ◽  
Author(s):  
R. P. Gardner ◽  
L. Wielopolski ◽  
J. M. Doster
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Method ◽  
Experimental Results ◽  
Monte Carlo Simulation Method ◽  
X Ray ◽  
Fundamental Parameters ◽  
Edxrf Analysis

The Monte Carlo simulation method that has been previously developed and demonstrated for EDXRF analysis with annular radioisotope excitation sources is extended to systems using secondary fluorescer X-ray machines for excitation. Comparisons of the Monte Carlo predictions with experimental results indicate that the modification is valid.

scholarly journals Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2885
Author(s):  
Daniel Losada ◽  
Ameena Al-Sumaiti ◽  
Sergio Rivera
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Method ◽  
Electricity Sector ◽  
Cost Functions ◽  
Density Estimator ◽  
Monte Carlo Simulation Method ◽  
Commercial Building ◽  
Complementary Method ◽  
The Cost

This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its development, statistical data on the energy consumption of the building in 2016 were used, along with the deployment of kernel density estimator to characterize its probabilistic behavior. For validation of the uncertainty cost functions, the Monte-Carlo simulation method was used to make comparisons between the analytical results and the results obtained by the method. The cost functions found differential errors of less than 1%, compared to the Monte-Carlo simulation method. With this, there is an analytical approach to the uncertainty costs of the building that can be used in the development of optimal energy dispatches, as well as a complementary method for the probabilistic characterization of the stochastic behavior of agents in the electricity sector.

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