Published July 1994
| Version v1
Journal article
Monte Carlo modelling of neutron depth dose distributions in optimizing prompt gamma in vivo neutron activation analysis systems
- 1. Univ. of South Australia, Pooraka (Australia). School of Applied Physics
- 2. Royal Adelaide Hospital, SA (Australia)
- 3. Wollongong Univ., NSW (Australia)
- 4. Australian Nuclear Science and Technology Organisation, Menai (Australia)
Description
Optimization of prompt gamma in vivo neutron activation analysis systems is best achieved using Monte Carlo simulation. In this study the modelling of the dimensions and materials for source holders and collimators is described and compared with experimentally derived results where feasible. Results show that valid depth doses are obtained by modelling only the central part of an IVNAA system and that the use of borated paraffin as a reflector provides acceptable thermal fluence and depth dose. (Author)
Additional details
Publishing Information
- Journal Title
- Applied Radiation and Isotopes
- Journal Volume
- 45
- Journal Issue
- 7
- Journal Page Range
- p. 789-794.
- ISSN
- 0969-8043
- CODEN
- ARISEF
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- United Kingdom
- INIS RN
- 25054393
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- COLLIMATORS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; DEPTH DOSE DISTRIBUTIONS; EXPERIMENTAL DATA; MONTE CARLO METHOD; NEUTRON ACTIVATION ANALYSIS; NEUTRONS; OPTIMIZATION; PHANTOMS; PROMPT GAMMA RADIATION; THEORETICAL DATA
- Descriptors DEC
- ACTIVATION ANALYSIS; BARYONS; CALCULATION METHODS; CHEMICAL ANALYSIS; DATA; DISTRIBUTION; ELECTROMAGNETIC RADIATION; ELEMENTARY PARTICLES; EVALUATION; FERMIONS; GAMMA RADIATION; HADRONS; INFORMATION; IONIZING RADIATIONS; MOCKUP; NONDESTRUCTIVE ANALYSIS; NUCLEONS; NUMERICAL DATA; RADIATION DOSE DISTRIBUTIONS; RADIATIONS; SIMULATION; SPATIAL DISTRIBUTION; SPATIAL DOSE DISTRIBUTIONS; STRUCTURAL MODELS