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Title: Data-optimized source modeling with the Backwards Liouville Test–Kinetic method

Abstract

In the standard practice of neutron multiplicity counting , the first three sampled factorial moments of the event triggered neutron count distribution were used to quantify the three main neutron source terms: the spontaneous fissile material effective mass, the relative (α,n) production and the induced fission source responsible for multiplication. Our study compares three methods to quantify the statistical uncertainty of the estimated mass: the bootstrap method, propagation of variance through moments, and statistical analysis of cycle data method. Each of the three methods was implemented on a set of four different NMC measurements, held at the JRC-laboratory in Ispra, Italy, sampling four different Pu samples in a standard Plutonium Scrap Multiplicity Counter (PSMC) well counter.

Authors:
 [1];  [1];  [1];  [1];  [1];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Space Science and Applications
  2. New Mexico Consortium, Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1392883
Report Number(s):
LA-UR-17-24743
Journal ID: ISSN 1364-6826
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Atmospheric and Solar-Terrestrial Physics
Additional Journal Information:
Journal Volume: 875; Journal Issue: C; Journal ID: ISSN 1364-6826
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Heliospheric and Magnetospheric Physics; Test particle

Citation Formats

Woodroffe, J. R., Brito, T. V., Jordanova, V. K., Henderson, M. G., Morley, S. K., and Denton, M. H. Data-optimized source modeling with the Backwards Liouville Test–Kinetic method. United States: N. p., 2017. Web. doi:10.1016/j.jastp.2017.09.010.
Woodroffe, J. R., Brito, T. V., Jordanova, V. K., Henderson, M. G., Morley, S. K., & Denton, M. H. Data-optimized source modeling with the Backwards Liouville Test–Kinetic method. United States. doi:10.1016/j.jastp.2017.09.010.
Woodroffe, J. R., Brito, T. V., Jordanova, V. K., Henderson, M. G., Morley, S. K., and Denton, M. H. Thu . "Data-optimized source modeling with the Backwards Liouville Test–Kinetic method". United States. doi:10.1016/j.jastp.2017.09.010. https://www.osti.gov/servlets/purl/1392883.
@article{osti_1392883,
title = {Data-optimized source modeling with the Backwards Liouville Test–Kinetic method},
author = {Woodroffe, J. R. and Brito, T. V. and Jordanova, V. K. and Henderson, M. G. and Morley, S. K. and Denton, M. H.},
abstractNote = {In the standard practice of neutron multiplicity counting , the first three sampled factorial moments of the event triggered neutron count distribution were used to quantify the three main neutron source terms: the spontaneous fissile material effective mass, the relative (α,n) production and the induced fission source responsible for multiplication. Our study compares three methods to quantify the statistical uncertainty of the estimated mass: the bootstrap method, propagation of variance through moments, and statistical analysis of cycle data method. Each of the three methods was implemented on a set of four different NMC measurements, held at the JRC-laboratory in Ispra, Italy, sampling four different Pu samples in a standard Plutonium Scrap Multiplicity Counter (PSMC) well counter.},
doi = {10.1016/j.jastp.2017.09.010},
journal = {Journal of Atmospheric and Solar-Terrestrial Physics},
number = C,
volume = 875,
place = {United States},
year = {2017},
month = {9}
}

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