Published September 2008 | Version v1
Journal article

Neutron transport through semi-infinite continuous stochastic media using Gaussian statistics

  • 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.2008.03.001

Additional 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.