Variance estimation in neutron coincidence counting using the bootstrap method

C. Dubi, A. Ocherashvilli, H. Ettegui, B. Pedersen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish
Pages (from-to)160-163
Number of pages4
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
StatePublished - 9 Jul 2015
Externally publishedYes


  • Bootstrap method
  • Neutron multiplicity counting
  • Passive interrogation statistical variance

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


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