The spatial distribution of absorbed energy in irradiated matter can be conveniently described by dosepoint-kernel (DPK) distributions that characterize the average energy deposition around single chargedparticle tracks during their slowing down process. In the present work, electron DPKs in liquid
Estimation of uncertainties in stopping-power ratios using Monte Carlo methods
โ Scribed by P. Andreo; A. Fransson
- Publisher
- Elsevier Science
- Year
- 1992
- Weight
- 182 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0883-2889
No coin nor oath required. For personal study only.
โฆ Synopsis
In a recent article Rogers (1991) has analyzed the numerical procedure used by Andreo and Fransson (1989) to estimate uncertainties of stopping-power ratios for ionization chamber dosimetry. The paper under discussion was an attempt to perform a numerical analysis of the uncertainties in stopping-power ratios, which previously had not been estimated using statistical methods. Approximations involved in the Spencer-Attix cavity theory and Bethe stopping-power theory were pointed out as additional contributions to the final uncertainty of stopping-power ratios, stressing the difficulty in their evaluation. The same analytical method has been used further by Andreo (1990a,b), who took into account the information available in ICRU Report 37 (ICRU, 1984b) to analyze the influence of the different procedures used to determine the densityeffect correction in electron stopping-powers on existing stopping-power ratios for dosimetry.
Although Rogers (1991) stated that "any uncertainty in the collision stopping-power is likely to show up as an uncertainty in the calculated stopping-power ratios of roughly the same magnitude, contrary to the analysis of Andreo and Fransson", a detailed consideration of the term
๐ SIMILAR VOLUMES
Design of experiment (DOE) methodology can provide a complete evaluation of the influences of nasal spray activation and formulation properties on delivery performance which makes it a powerful tool for product design purposes. Product performance models are computed from complex expressions contain