Background: Gel polymers are considered as new dosimeters for determining radiotherapy dose distribution in three dimensions.Objective: The ability of a new formulation of MAGIC-f polymer gel was assessed by experimental measurement and Monte Carlo (MC) method for studying the effect of gold nanoparticles (GNPs) in prostate dose distributions under the internal Ir-192 and external 18MV radiothe...

Introduction Use of hadron therapy as an advanced radiotherapy technique is increasing. In this method, secondary particles are produced through primary beam interactions with the beam-transport system and the patient’s body. In this study, Monte Carlo simulations were employed to determine the dose of produced secondary particles, particularly neutrons during treatment. Materials and Methods I...

background: two protocols of aapm tg-51 and iaea trs-398 were compared followed by a measurement and monte carlo simulation of beam quality correction factor, kq, aapm tg-51 and iaea trs-398 protocols were compared for the absorbed dose to water for dw, and kq parameters. materials and methods: dose measurements by either protocols were performed with cylindrical and plane parallel chambers for...

The details of doing a Monte Carlo direct lighting calculation are presented. For direct lighting from multiple luminaires, a method of sending one shadow ray per viewing ray is presented, and it is argued that this is preferable for scenes with many luminaires. Some issues of the design of probability densities on unions of luminaire surfaces are discussed.

A Hybrid Monte Carlo method (HMC) method is proposed in this article for estimating the system reliability of a stochastic network without needing to know all of the minimal pathsets/cutsets (MPs/MCs) in advance. The analysis indicates that the proposed method is efficient when compared to the crude Monte Carlo method (CMC).

We study optimal stochastic (or Monte Carlo) quadrature formulas for convex functions. While nonadaptive Monte Carlo methods are not better than deterministic methods we prove that adaptive Monte Carlo methods are much better. Abstract. We study optimal stochastic (or Monte Carlo) quadrature formulas for convex functions. While nonadaptive Monte Carlo methods are not better than deter-ministic ...

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This paper describes a method for the Monte Carlo simulation of two correlated random variables. The author analyses linear combinations of stochastically independent random variables that are equally distributed over the interval (0; 1) (\random numbers") and also examines their distribution. If a suitable matrix of coeecients is chosen, the subsequent transformation results in random variable...