Developing a software for simulation of gaseous detectors with Monte carlo method in c++ programming language

A New Approach for Monte Carlo Simulation of RAFT Polymerization

In this work, based on experimental observations and exact theoretical predictions, the kinetic scheme of RAFT polymerization is extended to a wider range of reactions such as irreversible intermediate radical terminations and reversible transfer reactions. The reactions which have been labeled as kinetic scheme are the more probable existing reactions as the theoretical point of view. The ...

Monte Carlo Simulation Method

Quantum Monte Carlo (QMC) methods such as Variational Monte Carlo, Diffusion Monte Carlo or Path Integral Monte Carlo are the most accurate and general methods for computing total electronic energies. We will review methods we have developed to perform QMC for the electrons coupled to another MC simulation for the ions. In this method, one estimates the Born-Oppenheimer energy E(Z) where Z repr...

Monte Carlo Simulation of Prostate Intensity Modulated Radiotherapy Using PRIMO Software: A Feasibility Study

Introduction: Nowadays Intensity Modulated Radiotherapy (IMRT) is a common method for treating prostate cancers. Must of the Monte Carlo software cannot simulate the IMRT procedures due to inability of these soft wares to simulate the multi leaf collimator (MLC) positions or movements. A new user-friendly software based on the PENELOPE Monte Carlo code named PRIMO was published...

Monte Carlo Simulation With Java and C++

Simulation of Temperature Distribution in a Continuous Tunnel Reheat Furnace Using the Monte Carlo Method

A mathematical model of a continuous reheating furnace has been developed to identify the design and operating parameters that significantly affect furnace performance. In this study, the furnace is modeled 3 dimensionally and theMonte Carlomethod is used to find the overall absorption factor. The overall absorption factor is then used to calculate the energy balance for furnace walls, the gas,...

Genetic Programming with Monte Carlo Simulation for Option Pricing

I examine the role of programming parameters in determining the accuracy of Genetic Programming for option pricing. I use Monte Carlo simulations to generate stock and option price data needed to develop a Genetic Option Pricing Program. I simulate data for two different stock price processes – a Geometric Brownian process and a JumpDiffusion process. In the jump-diffusion setting, I seed the G...