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Title: Validation of statistical uncertainties in subcritical benchmark measurements: Part II – Measured data

Abstract

Part I of this work presented an uncertainty approach which incorporates the singles and doubles counting rates determined by the Hage-Cifarelli formalism of the Feynman Variance-to-Mean method. This moments-based approach utilizes time correlations between prompt neutrons detections to assess the system multiplication. Additionally, it presented a validation which utilized simulated data generated using a 0-D point-kinetics Monte Carlo code. In Part II, this same method and validation approach is applied to measured data of a subcritical benchmark experiment. These measurements were performed with a 4.5 kg sphere of alpha-phase weapons grade plutonium reflected by copper and/or polyethylene. Finally, the results of 17 configurations are shown including detailed validation for four of the configurations.

Authors:
 [1];  [1]; ORCiD logo [1];  [1];  [1];  [2]; ORCiD logo [1];  [3];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Michigan, Ann Arbor, MI (United States)
  3. Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-EXP, SNC (France)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1481998
Alternate Identifier(s):
OSTI ID: 1636430
Report Number(s):
LA-UR-18-23772
Journal ID: ISSN 0306-4549
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Annals of Nuclear Energy (Oxford)
Additional Journal Information:
Journal Name: Annals of Nuclear Energy (Oxford); Journal Volume: 125; Journal ID: ISSN 0306-4549
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Neutron multiplicity; Feynman Variance-to-mean; Subcritical measurements; Neutron noise

Citation Formats

Hutchinson, Jesson D., Bahran, Rian Mustafa, Cutler, Theresa Elizabeth, Nelson, Mark Andrew, Grove, Travis Justin, Arthur, Jennifer Ann, McKenzie, George Espy IV, Monange, Wilfried, and Dumonteil, Eric. Validation of statistical uncertainties in subcritical benchmark measurements: Part II – Measured data. United States: N. p., 2018. Web. doi:10.1016/j.anucene.2018.10.021.
Hutchinson, Jesson D., Bahran, Rian Mustafa, Cutler, Theresa Elizabeth, Nelson, Mark Andrew, Grove, Travis Justin, Arthur, Jennifer Ann, McKenzie, George Espy IV, Monange, Wilfried, & Dumonteil, Eric. Validation of statistical uncertainties in subcritical benchmark measurements: Part II – Measured data. United States. https://doi.org/10.1016/j.anucene.2018.10.021
Hutchinson, Jesson D., Bahran, Rian Mustafa, Cutler, Theresa Elizabeth, Nelson, Mark Andrew, Grove, Travis Justin, Arthur, Jennifer Ann, McKenzie, George Espy IV, Monange, Wilfried, and Dumonteil, Eric. Fri . "Validation of statistical uncertainties in subcritical benchmark measurements: Part II – Measured data". United States. https://doi.org/10.1016/j.anucene.2018.10.021. https://www.osti.gov/servlets/purl/1481998.
@article{osti_1481998,
title = {Validation of statistical uncertainties in subcritical benchmark measurements: Part II – Measured data},
author = {Hutchinson, Jesson D. and Bahran, Rian Mustafa and Cutler, Theresa Elizabeth and Nelson, Mark Andrew and Grove, Travis Justin and Arthur, Jennifer Ann and McKenzie, George Espy IV and Monange, Wilfried and Dumonteil, Eric},
abstractNote = {Part I of this work presented an uncertainty approach which incorporates the singles and doubles counting rates determined by the Hage-Cifarelli formalism of the Feynman Variance-to-Mean method. This moments-based approach utilizes time correlations between prompt neutrons detections to assess the system multiplication. Additionally, it presented a validation which utilized simulated data generated using a 0-D point-kinetics Monte Carlo code. In Part II, this same method and validation approach is applied to measured data of a subcritical benchmark experiment. These measurements were performed with a 4.5 kg sphere of alpha-phase weapons grade plutonium reflected by copper and/or polyethylene. Finally, the results of 17 configurations are shown including detailed validation for four of the configurations.},
doi = {10.1016/j.anucene.2018.10.021},
journal = {Annals of Nuclear Energy (Oxford)},
number = ,
volume = 125,
place = {United States},
year = {Fri Nov 02 00:00:00 EDT 2018},
month = {Fri Nov 02 00:00:00 EDT 2018}
}

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Cited by: 6 works
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Works referenced in this record:

Initial MCNP6 Release Overview
journal, December 2012

  • Goorley, T.; James, M.; Booth, T.
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Validation of statistical uncertainties in subcritical benchmark measurements: Part I – Theory and simulations
journal, March 2019


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Works referencing / citing this record:

Derivation of the Two-Exponential Probability Density Function for Rossi-Alpha Measurements of Reflected Assemblies and Validation for the Special Case of Shielded Measurements
journal, September 2019

  • Hua, Michael Y.; Hutchinson, Jesson D.; McKenzie, George E.
  • Nuclear Science and Engineering, Vol. 194, Issue 1
  • DOI: 10.1080/00295639.2019.1654327