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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
Alternate Identifier(s):
OSTI ID: 1694085
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. https://doi.org/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. https://doi.org/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 = {Thu Sep 14 00:00:00 EDT 2017},
month = {Thu Sep 14 00:00:00 EDT 2017}
}

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Works referenced in this record:

Observations and simulations of non-local acceleration of electrons in magnetotail magnetic reconnection events
journal, January 2011

  • Ashour-Abdalla, Maha; El-Alaoui, Mostafa; Goldstein, Melvyn L.
  • Nature Physics, Vol. 7, Issue 4
  • DOI: 10.1038/nphys1903

Magnetospheric plasma analyzer for spacecraft with constrained resources
journal, April 1993

  • Bame, S. J.; McComas, D. J.; Thomsen, M. F.
  • Review of Scientific Instruments, Vol. 64, Issue 4
  • DOI: 10.1063/1.1144173

Substorm ion injections: Geosynchronous observations and test particle orbits in three-dimensional dynamic MHD fields
journal, February 1997

  • Birn, J.; Thomsen, M. F.; Borovsky, J. E.
  • Journal of Geophysical Research: Space Physics, Vol. 102, Issue A2
  • DOI: 10.1029/96JA03032

Substorm electron injections: Geosynchronous observations and test particle simulations
journal, May 1998

  • Birn, J.; Thomsen, M. F.; Borovsky, J. E.
  • Journal of Geophysical Research: Space Physics, Vol. 103, Issue A5
  • DOI: 10.1029/97JA02635

Electron acceleration in the dynamic magnetotail: Test particle orbits in three-dimensional magnetohydrodynamic simulation fields
journal, May 2004

  • Birn, J.; Thomsen, M. F.; Hesse, M.
  • Physics of Plasmas, Vol. 11, Issue 5
  • DOI: 10.1063/1.1704641

Particle acceleration in dipolarization events: PARTICLE ACCELERATION BY DIPOLARIZATION
journal, May 2013

  • Birn, J.; Hesse, M.; Nakamura, R.
  • Journal of Geophysical Research: Space Physics, Vol. 118, Issue 5
  • DOI: 10.1002/jgra.50132

Algorithm 771: rksuite_90: Fortran 90 software for ordinary differential equation initial-value problems
journal, September 1997

  • Brankin, R. W.; Gladwell, I.
  • ACM Transactions on Mathematical Software, Vol. 23, Issue 3
  • DOI: 10.1145/275323.275328

Hamiltonian theory of guiding-center motion
journal, May 2009


Particle distributions in a two-dimensional reconnection field geometry
journal, January 1989


An empirical model of electron and ion fluxes derived from observations at geosynchronous orbit: Empirical model of GEO fluxes
journal, April 2015

  • Denton, M. H.; Thomsen, M. F.; Jordanova, V. K.
  • Space Weather, Vol. 13, Issue 4
  • DOI: 10.1002/2015SW001168

Theory and Modeling for the Magnetospheric Multiscale Mission
journal, October 2014


Tricubic interpolation in three dimensions
journal, January 2005

  • Lekien, F.; Marsden, J.
  • International Journal for Numerical Methods in Engineering, Vol. 63, Issue 3
  • DOI: 10.1002/nme.1296

Test-particle Simulation of Space Plasmas
journal, June 2010


Magnetospherically trapped ions as a source of magnetosheath energetic ions
journal, January 1981

  • Speiser, T. W.; Williams, D. J.; Garcia, H. A.
  • Journal of Geophysical Research, Vol. 86, Issue A2
  • DOI: 10.1029/JA086iA02p00723

Modeling the Earth's magnetospheric magnetic field confined within a realistic magnetopause
journal, January 1995

  • Tsyganenko, N. A.
  • Journal of Geophysical Research, Vol. 100, Issue A4
  • DOI: 10.1029/94JA03193

Comparative study of forward and backward test-kinetic simulation approaches
journal, December 2012

  • Voitcu, Gabriel; Echim, Marius; Marchand, Richard
  • Computer Physics Communications, Vol. 183, Issue 12
  • DOI: 10.1016/j.cpc.2012.07.005

Plasma transport modelling in the inner magnetosphere: effects of magnetic field, electric field and exospheric models
journal, January 2011


The role of ring current particle injections: Global simulations and Van Allen Probes observations during 17 March 2013 storm
journal, February 2014

  • Yu, Yiqun; Jordanova, Vania; Welling, Dan
  • Geophysical Research Letters, Vol. 41, Issue 4
  • DOI: 10.1002/2014GL059322

Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
journal, December 1997

  • Zhu, Ciyou; Byrd, Richard H.; Lu, Peihuang
  • ACM Transactions on Mathematical Software, Vol. 23, Issue 4
  • DOI: 10.1145/279232.279236

Works referencing / citing this record:

Alteration of Particle Drift Resonance Dynamics Near Poloidal Mode Field Line Resonance Structures
journal, September 2019

  • Degeling, A. W.; Rankin, R.; Wang, Y.
  • Journal of Geophysical Research: Space Physics, Vol. 124, Issue 9
  • DOI: 10.1029/2019ja026946