Published June 1981 | Version v1
Report

Influences of the covariance matrices over reactor neutron dosimetry

Creators

  • 1. Tokyo Univ., Tokai, Ibaraki (Japan). Nuclear Engineering Research Lab.

Description

Present status and influences of three convariance matrices being used in reactor neutron dosimetry have been reviewed. Those are the uncertainties of the measured reaction-rate values, dosimeter reaction cross-section values and guess spectra, and are essential to the uncertainty analysis of the present dosimetry results. Immediate needs are stated to establish the evaluation method of covariance matrices of the cross-section curves and to decrease their uncertainties, which have rather low accuracies than the measured reaction-rate values although these two have the same influences to the final results. Conclusive remarks have been said that we can't go forward without covariance matrices of cross-section and guess-spectrum at least in the next 10 years, and interesting comments are given through numerical unfolding results that the covariance matrices of guess spectra have generally very favorable influences of dosimetry results which make larger the inititial error of the calculated reaction-rate and make lower the final uncertainty of integral dose values. (author)

Additional details

Publishing Information

Imprint Title
Proceedings of 1980 seminar on nuclear data
Imprint Pagination
227 p.
Journal Page Range
p. 113-123.
Report number
JAERI-M--9523

Conference

Title
1980 seminar on nuclear data.
Dates
10 - 11 Dec 1980.
Place
Tokai, Ibaraki (Japan).

INIS

Country of Publication
Japan
Country of Input or Organization
Japan
INIS RN
14726956
Subject category
S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CORRELATIONS; CROSS SECTIONS; DATA PROCESSING; ENERGY SPECTRA; ERRORS; GAMMA DOSIMETRY; GROUP CONSTANTS; INFORMATION NEEDS; MULTI-PARAMETER ANALYSIS; NEUTRON DOSIMETRY; NEUTRON SPECTRA; REACTIVITY; REACTORS; SPECTRA UNFOLDING; STATISTICS; STOCHASTIC PROCESSES
Descriptors DEC
DOSIMETRY; MATHEMATICS; SPECTRA

Optional Information