Neutron transport through semi-infinite continuous stochastic media using Gaussian statistics
Creators
- 1. Physics Department, Faculty of Science, Mansoura University, New Damietta 34517, Damietta (Egypt)
- 2. Theoretical Physics Research Group, Physics Department, Faculty of Science, Mansoura University, Mansoura, P.O. Box. 35516 (Egypt)
Description
The stationary solution of the one-speed neutron transport equation in a semi-infinite stochastic medium with linear anisotropic scattering is considered. The cross-section function of the medium is assumed to be a continuous random function of position with fluctuations about the mean taken as Gaussian distributed. The joint probability distribution function of these Gaussian random variables is used to calculate the ensemble-averaged quantities, such as radiant neutron energy and net neutron flux, for an arbitrary correlation function. The problem is solved at first in the deterministic case, then the solution is averaged using Gaussian joint probability distribution function. A modified Gaussian probability distribution function is also used to average the solution. Numerical results are given for the sake of comparison
Availability note (English)
Available from http://dx.doi.org/10.1016/j.anucene.2008.03.001Additional details
Identifiers
- DOI
- 10.1016/j.anucene.2008.03.001;
- PII
- S0306-4549(08)00085-6;
Publishing Information
- Journal Title
- Annals of Nuclear Energy (Oxford)
- Journal Volume
- 35
- Journal Issue
- 9
- Journal Page Range
- p. 1613-1620
- ISSN
- 0306-4549
- CODEN
- ANENDJ
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40031803
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Descriptors DEI
- CORRELATION FUNCTIONS; CROSS SECTIONS; DISTRIBUTION FUNCTIONS; FLUCTUATIONS; NEUTRON FLUX; NEUTRON TRANSPORT; NEUTRON TRANSPORT THEORY; STOCHASTIC PROCESSES
- Descriptors DEC
- FUNCTIONS; NEUTRAL-PARTICLE TRANSPORT; RADIATION FLUX; RADIATION TRANSPORT; TRANSPORT THEORY; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.