Variance estimation in neutron coincidence counting using the bootstrap method

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

doi:10.1016/j.nima.2015.05.025

Variance estimation in neutron coincidence counting using the bootstrap method

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

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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 language	English
Pages (from-to)	160-163
Number of pages	4
Journal	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume	794
DOIs	https://doi.org/10.1016/j.nima.2015.05.025
State	Published - 9 Jul 2015
Externally published	Yes

Keywords

Bootstrap method
Neutron multiplicity counting
Passive interrogation statistical variance

ASJC Scopus subject areas

Nuclear and High Energy Physics
Instrumentation

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10.1016/j.nima.2015.05.025

Cite this

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title = "Variance estimation in neutron coincidence counting using the bootstrap method",

abstract = "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.",

keywords = "Bootstrap method, Neutron multiplicity counting, Passive interrogation statistical variance",

author = "C. Dubi and A. Ocherashvilli and H. Ettegui and B. Pedersen",

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T1 - Variance estimation in neutron coincidence counting using the bootstrap method

AU - Dubi, C.

AU - Ocherashvilli, A.

AU - Ettegui, H.

AU - Pedersen, B.

PY - 2015/7/9

Y1 - 2015/7/9

N2 - 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.

AB - 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.

KW - Bootstrap method

KW - Neutron multiplicity counting

KW - Passive interrogation statistical variance

UR - https://www.scopus.com/pages/publications/84936105822

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DO - 10.1016/j.nima.2015.05.025

M3 - Article

AN - SCOPUS:84936105822

SN - 0168-9002

VL - 794

SP - 160

EP - 163

JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

ER -

Variance estimation in neutron coincidence counting using the bootstrap method

Abstract

Keywords

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