Back to Search Start Over

Experimental validation of analytic formulas for the statistical uncertainty in the Feynman-αmethod

Authors :
Patrick Blaise
Chen Dubi
A. Kolin
Benoit Geslot
Erez Gilad
Source :
Annals of Nuclear Energy. 106:84-90
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Noise experiments, and the Feynman- α method in particular, are considered a standard in-pile experiment, often used in zero power reactors in a sub critical configuration to estimate the reactivity level. In the Feynman- α method, the variance to mean ratio of event triggered neutron count is fitted on the so called Feynman-Y function, resulting with an experimental estimation of the α decay mode. In a recent study, analytic formulas for the expected statistical uncertainty in the Feynman- α method were derived, using the backward stochastic transport equation. The outline of the present study is to experimentally validate these analytic formulas. The formulas were implemented on 4 different signals, obtained from the MINERVE reactor at CEA Cadarache. For each of the four measurements, the signal was truncated in increasing measurement lengths (ranging from 1 to 60 min), in order to observe the functional behavior of the statistical error through time. Then, the measured statistical error was compared with the analytic estimation. Results indicate a very high correspondence between the expected statistical error and the measured one.

Details

ISSN :
03064549
Volume :
106
Database :
OpenAIRE
Journal :
Annals of Nuclear Energy
Accession number :
edsair.doi...........0070a8eec56563619832a1240b58372b