Add to ORKGA probability density function (PDF) and random sampling procedure for the distance to collision were derived for the case of exponentially varying cross-sections. Numerical testing indicates that both are correct. This new sampling procedure has direct application in a new method for Monte Carlo radiation transport, and may be generally useful for analyzing physical problems where the material cross-sections change very rapidly in an exponential manner
This paper introduces a new stochastic method for taking the effect of thermal motion into account o...
Stochastic-media simulations require numerous boundary crossings. We consider two Monte Carlo electr...
The paper describes PRIZMA capabilities for modeling radiation transport in random disperse media by...
Neutral particle transport in media exhibiting large and complex material property spatial variation...
Monte Carlo (MC) simulation has been abundantly used for simulation of radiation transport (thermal,...
This article is an introduction to the Monte Carlo method as used in particle transport. After a des...
Attention is focused on the application of the Monte Carlo method to particle transport problems, wi...
International audienceParticle transport in random media obeying a given mixing statistics is key in...
In some Monte Carlo radiation transport calculations one must sample a random variable which is desc...
A new Monte Carlo Boltzmann (MCB) equation is proposed to describe the behavior of nonanalog Monte C...
This introduction to Monte Carlo Methods seeks to identify and study the unifying elements that unde...
Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample...
We address in this paper the efficient estimation of sensitivity coefficients by Monte Carlo simulat...
A biased Monte Carlo methodology is presented for solving the transport of radionuclide chains throu...
Electron transport simulation plays an important role in the dose calculation in electron cancer the...
This paper introduces a new stochastic method for taking the effect of thermal motion into account o...
Stochastic-media simulations require numerous boundary crossings. We consider two Monte Carlo electr...
The paper describes PRIZMA capabilities for modeling radiation transport in random disperse media by...
Neutral particle transport in media exhibiting large and complex material property spatial variation...
Monte Carlo (MC) simulation has been abundantly used for simulation of radiation transport (thermal,...
This article is an introduction to the Monte Carlo method as used in particle transport. After a des...
Attention is focused on the application of the Monte Carlo method to particle transport problems, wi...
International audienceParticle transport in random media obeying a given mixing statistics is key in...
In some Monte Carlo radiation transport calculations one must sample a random variable which is desc...
A new Monte Carlo Boltzmann (MCB) equation is proposed to describe the behavior of nonanalog Monte C...
This introduction to Monte Carlo Methods seeks to identify and study the unifying elements that unde...
Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample...
We address in this paper the efficient estimation of sensitivity coefficients by Monte Carlo simulat...
A biased Monte Carlo methodology is presented for solving the transport of radionuclide chains throu...
Electron transport simulation plays an important role in the dose calculation in electron cancer the...
This paper introduces a new stochastic method for taking the effect of thermal motion into account o...
Stochastic-media simulations require numerous boundary crossings. We consider two Monte Carlo electr...
The paper describes PRIZMA capabilities for modeling radiation transport in random disperse media by...