Calculation of fast neutron spectra from a plane source of fission neutrons in various diffusing media using the Monte Carlo technique

Isabel F. Goncalves; Eduardo Martinho; Jose F. Salgado

doi:10.1117/12.267952

27 February 1997 Calculation of fast neutron spectra from a plane source of fission neutrons in various diffusing media using the Monte Carlo technique

Isabel F. Goncalves, Eduardo Martinho, Jose F. Salgado

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Proceedings Volume 2867, International Conference Neutrons in Research and Industry; (1997) https://doi.org/10.1117/12.267952
Event: Fifth International Conference on Applications of Nuclear Techniques: Neutrons in Research and Industry, 1996, Crete, Greece

Abstract

Certain experiments involving irradiation of samples in nuclear reactors, specially those for studies in biology, chemistry, physics and materials science where alteration of properties are to be induced by fast neutrons, require the knowledge of the neutron spectrum, particularly in order to calculate the doses absorbed by the samples on the basis of averaged kerma factors. Aiming at a general characterization of the fast neutron spectrum at the irradiation facilities of the Portuguese Research Reactor - a 1 MW pool type reactor, with fuel elements of MTR shape -, in a way which does not depend on the core configuration and on the irradiation conditions, the following simplified calculation was carried out: 1) the face of the reactor core has been considered as being a uniform plane source of fission neutrons, and 2) using the MCNP-4A code, the spectrum of fast neutrons has been calculated at several distances along the central axis normal to the source, considering various combinations of diffusing media of various thickness.

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Isabel F. Goncalves, Eduardo Martinho, and Jose F. Salgado "Calculation of fast neutron spectra from a plane source of fission neutrons in various diffusing media using the Monte Carlo technique", Proc. SPIE 2867, International Conference Neutrons in Research and Industry, (27 February 1997); https://doi.org/10.1117/12.267952

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KEYWORDS

Monte Carlo methods

Error analysis

Beryllium

Biology

Chemical elements

Chemistry

Materials science

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