Variance estimation in neutron coincidence counting using the bootstrap method
In the study, we demonstrate the implementation of the “bootstrap” method for a reliable estimation of the statistical error in Neutron Multiplicity Counting (NMC) on plutonium samples.
The “bootstrap” method estimates the variance of a measurement through a re-sampling process, in which a large number of pseudo- samples are generated, from which the so-called bootstrap distribution is generated. The outline of the present study is to give a full description of the bootstrapping procedure, and to validate, through experimental results, the reliability of the estimated variance. Results indicate both a very good agreement between the measured variance and the variance obtained through the bootstrap method, and a robustness of the method with respect to the duration of the measurement and the bootstrap parameters.
DUBI Chen;
OCHERASHVILI Aharon;
ETTEDGUI Hanania;
PEDERSEN Bent;
2016-01-20
ELSEVIER SCIENCE BV
JRC100201
0168-9002,
http://dx.doi.org/10.1016/j.nima.2015.05.025,
https://publications.jrc.ec.europa.eu/repository/handle/JRC100201,
10.1016/j.nima.2015.05.025,
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