Combining four Monte Carlo estimators for radiation momentum deposition
نویسندگان
چکیده
Since the track-length estimator is the best solo estimator, the comparison in the above Vgure of the combined estimator to the track-length estimator is a realistic evaluation of the combined estimator. Values larger than 1.0 indicate that the combined estimator performs better than the track-length estimator. The dark central line is the mean fom ratio over the slab width, while the shaded band represents the range of the minimum to maximum fom ratio.
منابع مشابه
Evaluation of dose distribution of 12C ion beam in radiotherapy by FLUKA as a Monte Carlo simulation Code
Introduction: Nowadays, the use of heavy ion beams in cancer therapy have been developed worldwide. Materials and Methods: It requires accurate understanding of the complex processes of ion interaction with matter, as it is the calculation the relative dose & range of these ions in matter. In the present study we used FLUKA as a numerical Monte Carlo simula...
متن کاملDose distribution and dosimetry parameters calculation of MED3633 palladium-103 source in water phantom using MCNP
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×...
متن کاملMonte Carlo and experimental relative dose determination for an Iridium-192 source in water phantom
Background: Monte Carlo and experimental relative dose determination in a water phantom, due to a high dose rate (HDR) 192Ir source is presented for real energy spectrum and monochromatic at 356 keV. Materials and Methods: The dose distribution has been calculated around the 192Ir located in the center of 30 cm ×30 cm ×30 cm water phantom using MCNP4C code by Monte Carlo method. Relati...
متن کاملPositive-Shrinkage and Pretest Estimation in Multiple Regression: A Monte Carlo Study with Applications
Consider a problem of predicting a response variable using a set of covariates in a linear regression model. If it is a priori known or suspected that a subset of the covariates do not significantly contribute to the overall fit of the model, a restricted model that excludes these covariates, may be sufficient. If, on the other hand, the subset provides useful information, shrinkage meth...
متن کاملApplication of MCNP4C Monte Carlo code in radiation dosimetry in heterogeneous phantom
Background: In treating patients with radiation, the degree of accuracy for the delivery of tumor dose is recommended to be within ± 5% by ICRU in report 24. The experimental studies have shown that the presence of low-density inhomogeneity in areas such as the lung can lead to a greater than 30% change in the water dose data. Therefore, inhomogeneity corrections should be used in treatment pla...
متن کامل