Accurate statistical simulation and modeling are important for IC design. Different types of statistical simulation require different types of statistical models. In this paper a unified approach to statistical modeling and characterization is presented. Based on physical process parameters and propagation of variance, it allows modeling of process extremes, distributional modeling for Monte Ca...

this paper investigates the radiative absorptivity of a spherical cavity by using monte carlo techniques. several parameters such as the angle of incoming radiation which inters the cavity for both diffuse wall cavity and specular wall cavity has been  investigated. the absorptivity of a spherical cavity has been calculated and compared with the exact values when the angle of incoming radiation...

Background: Palladium-103 (103Pd) is a brachytherapy source for cancer treatment. The Monte Carlo codes are usually applied for dose distribution and effect of shieldings. Monte Carlo calculation of dose distribution in water phantom due to a MED3633 103Pd source is presented in this work. Materials and Methods: The dose distribution around the 103Pd Model MED3633 located in the center of 30×...

Purpose: To model the ELEKTA COMPACT accelerator head by using EGSnrc/BEAMnrc/DOSXYZnrc and to validatethe simulation according depth-dose lateral profiles of different radiation fields measured water phantom. Methods: IBA Blue Water Phantom2 CC13 Ionization Chamber were used measure curves at 10 cm × field profile depth underwater. In BEAMnrc, main components initial electron beam are establis...

Electron beam radiation therapy is used extensively for treating head and neck cancers to avoid the irradiation of the spinal cord. It is also used for treating chest wall malignancies to limit the irradiated volume of lungs. Calculating the dose distribution from an electron field is quite complicated because of the multiple scattering, especially in the presence of internal heterogeneities [1...

PLS path modeling (Partial Least Squares path modeling) has found increased interests since being used in the context of marketing studies. In this paper, we use Monte Carlo simulation and real life datasets to investigate the effects of changes in the model specification or in the data. We first introduce PLS path modeling and some already well-known properties of this approach; we then conduc...