On the equivalence of the RTI and SVM approaches to time correlated analysis
Recently two papers on how to perform passive neutron autocorrelation analysis on time gated histograms formed from pulse train data, generically called time correlation analysis (TCA), have appeared in this journal [1,2]. For those of us working in international nuclear safeguards these treatments are of particular interest because passive neutron multiplicity counting is a widely deployed technique for the quantification of plutonium. The purpose of this letter is to show that the skewnessvariancemean (SVM) approach developed in [1] is equivalent in terms of assay capability to the random trigger interval (RTI) analysis laid out in [2]. Mathematically we could also use other numerical ways to extract the time correlated information from the histogram data including for example what we might call the mean, mean square, and mean cube approach. The important feature however, from the perspective of real world applications, is that the correlated information extracted is the same, and subsequently gets interpreted in the same way based on the same underlying physics model.
 Authors:

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^{[2]};
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^{[2]}
 Safe Guard & Security Technology (SST), Oak Ridge, TN (United States)
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Publication Date:
 Report Number(s):
 LAUR1428053
Journal ID: ISSN 01689002; PII: S0168900214013527
 Grant/Contract Number:
 NA22; AC5206NA25396
 Type:
 Accepted Manuscript
 Journal Name:
 Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
 Additional Journal Information:
 Journal Volume: 773; Journal Issue: C; Journal ID: ISSN 01689002
 Publisher:
 Elsevier
 Research Org:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org:
 USDOE National Nuclear Security Administration (NNSA)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS
 OSTI Identifier:
 1239269
 Alternate Identifier(s):
 OSTI ID: 1247606
Croft, S., Favalli, A., Henzlova, D., and Santi, P. A.. On the equivalence of the RTI and SVM approaches to time correlated analysis. United States: N. p.,
Web. doi:10.1016/j.nima.2014.11.064.
Croft, S., Favalli, A., Henzlova, D., & Santi, P. A.. On the equivalence of the RTI and SVM approaches to time correlated analysis. United States. doi:10.1016/j.nima.2014.11.064.
Croft, S., Favalli, A., Henzlova, D., and Santi, P. A.. 2014.
"On the equivalence of the RTI and SVM approaches to time correlated analysis". United States.
doi:10.1016/j.nima.2014.11.064. https://www.osti.gov/servlets/purl/1239269.
@article{osti_1239269,
title = {On the equivalence of the RTI and SVM approaches to time correlated analysis},
author = {Croft, S. and Favalli, A. and Henzlova, D. and Santi, P. A.},
abstractNote = {Recently two papers on how to perform passive neutron autocorrelation analysis on time gated histograms formed from pulse train data, generically called time correlation analysis (TCA), have appeared in this journal [1,2]. For those of us working in international nuclear safeguards these treatments are of particular interest because passive neutron multiplicity counting is a widely deployed technique for the quantification of plutonium. The purpose of this letter is to show that the skewnessvariancemean (SVM) approach developed in [1] is equivalent in terms of assay capability to the random trigger interval (RTI) analysis laid out in [2]. Mathematically we could also use other numerical ways to extract the time correlated information from the histogram data including for example what we might call the mean, mean square, and mean cube approach. The important feature however, from the perspective of real world applications, is that the correlated information extracted is the same, and subsequently gets interpreted in the same way based on the same underlying physics model.},
doi = {10.1016/j.nima.2014.11.064},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 773,
place = {United States},
year = {2014},
month = {11}
}