Estimating the Effective System Dead Time Parameter for Correlated Neutron Counting
We present that neutron time correlation analysis is one of the main technical nuclear safeguards techniques used to verify declarations of, or to independently assay, special nuclear materials. Quantitative information is generally extracted from the neutronevent pulse train, collected from moderated assemblies of ^{3}He proportional counters, in the form of correlated count rates that are derived from eventtriggered coincidence gates. These count rates, most commonly referred to as singles, doubles and triples rates etc., when extracted using shiftregister autocorrelation logic, are related to the reduced factorial moments of the time correlated clusters of neutrons emerging from the measurement items. Correcting these various rates for dead time losses has received considerable attention recently. The dead time losses for the higher moments in particular, and especially for large mass (high rate and highly multiplying) items, can be significant. Consequently, even in thoughtfully designed systems, accurate dead time treatments are needed if biased mass determinations are to be avoided. In support of this effort, in this paper we discuss a new approach to experimentally estimate the effective system dead time of neutron coincidence counting systems. It involves counting a random neutron source (e.g. AmLi is a good approximation to a source without correlatedmore »
 Authors:

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 Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Publication Date:
 Report Number(s):
 LAUR1629157
Journal ID: ISSN 01689002; TRN: US1702499
 Grant/Contract Number:
 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: 871; Journal ID: ISSN 01689002
 Publisher:
 Elsevier
 Research Org:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org:
 USDOE NA Office of Nonproliferation and Verification Research and Development (NA22)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; neutron coincidence counting; multiplicity counting; dead time correction; fissile material assay
 OSTI Identifier:
 1356142
Croft, Stephen, Cleveland, Steve, Favalli, Andrea, McElroy, Robert D., and Simone, Angela T.. Estimating the Effective System Dead Time Parameter for Correlated Neutron Counting. United States: N. p.,
Web. doi:10.1016/j.nima.2017.04.042.
Croft, Stephen, Cleveland, Steve, Favalli, Andrea, McElroy, Robert D., & Simone, Angela T.. Estimating the Effective System Dead Time Parameter for Correlated Neutron Counting. United States. doi:10.1016/j.nima.2017.04.042.
Croft, Stephen, Cleveland, Steve, Favalli, Andrea, McElroy, Robert D., and Simone, Angela T.. 2017.
"Estimating the Effective System Dead Time Parameter for Correlated Neutron Counting". United States.
doi:10.1016/j.nima.2017.04.042. https://www.osti.gov/servlets/purl/1356142.
@article{osti_1356142,
title = {Estimating the Effective System Dead Time Parameter for Correlated Neutron Counting},
author = {Croft, Stephen and Cleveland, Steve and Favalli, Andrea and McElroy, Robert D. and Simone, Angela T.},
abstractNote = {We present that neutron time correlation analysis is one of the main technical nuclear safeguards techniques used to verify declarations of, or to independently assay, special nuclear materials. Quantitative information is generally extracted from the neutronevent pulse train, collected from moderated assemblies of 3He proportional counters, in the form of correlated count rates that are derived from eventtriggered coincidence gates. These count rates, most commonly referred to as singles, doubles and triples rates etc., when extracted using shiftregister autocorrelation logic, are related to the reduced factorial moments of the time correlated clusters of neutrons emerging from the measurement items. Correcting these various rates for dead time losses has received considerable attention recently. The dead time losses for the higher moments in particular, and especially for large mass (high rate and highly multiplying) items, can be significant. Consequently, even in thoughtfully designed systems, accurate dead time treatments are needed if biased mass determinations are to be avoided. In support of this effort, in this paper we discuss a new approach to experimentally estimate the effective system dead time of neutron coincidence counting systems. It involves counting a random neutron source (e.g. AmLi is a good approximation to a source without correlated emission) and relating the second and higher moments of the neutron number distribution recorded in random triggered interrogation coincidence gates to the effective value of dead time parameter. We develop the theoretical basis of the method and apply it to the Oak Ridge Large Volume Active Well Coincidence Counter using sealed AmLi radionuclide neutron sources and standard multiplicity shift register electronics. The method is simple to apply compared to the predominant present approach which involves using a set of 252Cf sources of wide emission rate, it gives excellent precision in a conveniently short time, and it yields consistent results as a function of the order of the moment used to extract the dead time parameter. In addition, this latter observation is reassuring in that it suggests the assumptions underpinning the theoretical analysis are fit for practical application purposes. However, we found that the effective dead time parameter obtained is not constant, as might be expected for a parameter that in the dead time model is characteristic of the detector system, but rather, varies systematically with gate width.},
doi = {10.1016/j.nima.2017.04.042},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = ,
volume = 871,
place = {United States},
year = {2017},
month = {4}
}