Computation of cross sections and dose conversion factors for criticality accident dosimetry
| Autor: | R. T. Devine |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Safety Management
Quality Assurance Health Care Computation Monte Carlo method Poison control Radiation Dosage Risk Assessment Sensitivity and Specificity Cross section (physics) Radiation Protection Nuclear Reactors Risk Factors Humans Scattering Radiation Dosimetry Radiology Nuclear Medicine and imaging Neutron Radiometry Neutrons Physics Radiation Radiological and Ultrasound Technology Public Health Environmental and Occupational Health Reproducibility of Results Conversion factor Numerical Analysis Computer-Assisted General Medicine Reference Standards Computational physics Criticality Calibration Body Burden Radioactive Hazard Release Monte Carlo Method Algorithms Relative Biological Effectiveness |
| Zdroj: | Radiation Protection Dosimetry. 110:491-495 |
| ISSN: | 1742-3406 0144-8420 |
| Popis: | In the application of criticality accident dosemeters the cross sections and fluence-to-dose conversion factors have to be computed. The cross section and fluence-to-dose conversion factor for the thermal and epi-thermal contributions to neutron dose are well documented; for higher energy regions (>100 keV) these depend on the spectrum assumed. Fluence is determined using threshold detectors. The cross sections require the folding of an expected spectrum with the reaction cross sections. The fluence-to-dose conversion factors also require a similar computation. The true and effective thresholds are used to include the information on the expected spectrum. The spectra can either be taken from compendia or measured at the facility at which the exposures are to be expected. The cross sections can be taken from data computations or analytic representations and the fluence-to-dose conversion factors are determined by various standards making bodies. The problem remaining is the method of computation. The purpose of this paper is to compare two methods for computing these factors: analytic and Monte Carlo. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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