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Title: A technique for combining neutron and gamma-ray data into a single assay value

Abstract

The authors explored the potentials of using both neutron and gamma-ray measurements on a single item and combining these data into a single assay value. The purpose was to improve assay capability for sample matrices that are difficult to measure. They chose an empirical approach because they wanted to address difficult-to-measure items for which the assay problem is complex. They used the tomographic gamma scanner; a passive, high-efficiency neutron counter with add-a-source and multiplicity; and an active neutron, californium shuffler to obtain measurements. Twenty-four 200-L drums were measured with various matrices using all three machines. The matrices were chosen specifically to spain the difficult-to-measure assay problems for some or all of the instruments. For example, the authors measured a drum filled with concrete and another filled with metal. The data from these measurements were analyzed using the alternating conditional expectation algorithm, which is one of a class of generalized additive models. Other data fusion algorithms are also possible and are being explored. The intent was to find ways to combine the data that would reduce the matrix-induced measurement error.

Authors:
; ;
Publication Date:
Research Org.:
Los Alamos National Lab., NM (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
335190
Report Number(s):
LA-UR-98-3203; CONF-980733-
ON: DE99002303; TRN: 99:005047
DOE Contract Number:
W-7405-ENG-36
Resource Type:
Technical Report
Resource Relation:
Conference: 39. Institute of Nuclear Materials Management (INMM) annual meeting, Naples, FL (United States), 26-30 Jul 1998; Other Information: PBD: [1998]
Country of Publication:
United States
Language:
English
Subject:
40 CHEMISTRY; 05 NUCLEAR FUELS; SAFEGUARDS; NUCLEAR MATERIALS MANAGEMENT; NONDESTRUCTIVE ANALYSIS; DATA PROCESSING; RADIOISOTOPE SCANNERS; NEUTRON DETECTORS; ALGORITHMS; RADIOACTIVE WASTES; EXPERIMENTAL DATA; GAMMA DETECTION

Citation Formats

Pickrell, M.M., Mercer, D., and Sharpe, T.J. A technique for combining neutron and gamma-ray data into a single assay value. United States: N. p., 1998. Web. doi:10.2172/335190.
Pickrell, M.M., Mercer, D., & Sharpe, T.J. A technique for combining neutron and gamma-ray data into a single assay value. United States. doi:10.2172/335190.
Pickrell, M.M., Mercer, D., and Sharpe, T.J. Thu . "A technique for combining neutron and gamma-ray data into a single assay value". United States. doi:10.2172/335190. https://www.osti.gov/servlets/purl/335190.
@article{osti_335190,
title = {A technique for combining neutron and gamma-ray data into a single assay value},
author = {Pickrell, M.M. and Mercer, D. and Sharpe, T.J.},
abstractNote = {The authors explored the potentials of using both neutron and gamma-ray measurements on a single item and combining these data into a single assay value. The purpose was to improve assay capability for sample matrices that are difficult to measure. They chose an empirical approach because they wanted to address difficult-to-measure items for which the assay problem is complex. They used the tomographic gamma scanner; a passive, high-efficiency neutron counter with add-a-source and multiplicity; and an active neutron, californium shuffler to obtain measurements. Twenty-four 200-L drums were measured with various matrices using all three machines. The matrices were chosen specifically to spain the difficult-to-measure assay problems for some or all of the instruments. For example, the authors measured a drum filled with concrete and another filled with metal. The data from these measurements were analyzed using the alternating conditional expectation algorithm, which is one of a class of generalized additive models. Other data fusion algorithms are also possible and are being explored. The intent was to find ways to combine the data that would reduce the matrix-induced measurement error.},
doi = {10.2172/335190},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 31 00:00:00 EST 1998},
month = {Thu Dec 31 00:00:00 EST 1998}
}

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