Methods of Reducing Bias in Combined Thermal/Epithermal Neutron (CTEN) Assays of Heterogeneous Waste

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We examined the effectiveness of two different methods for correcting CTEN passive and active assays for bias due to variations in the source position in different drum types. Both use the same drum-averaged correction determined from a neural network trained to active flux monitor ratios as a starting point. One method then uses a neural network to obtain a spatial correction factor sensitive to the source location. The other method uses emission tomography. Both methods were found to give significantly improved assay accuracy over the drum-averaged correction, although more study is needed to determine which method works better.

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Estep, R.J.; Melton, S. & Miko, D. November 17, 1998.

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We examined the effectiveness of two different methods for correcting CTEN passive and active assays for bias due to variations in the source position in different drum types. Both use the same drum-averaged correction determined from a neural network trained to active flux monitor ratios as a starting point. One method then uses a neural network to obtain a spatial correction factor sensitive to the source location. The other method uses emission tomography. Both methods were found to give significantly improved assay accuracy over the drum-averaged correction, although more study is needed to determine which method works better.

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Medium: P; Size: vp.

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INIS; OSTI as DE00762861

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  • Sixth Nondestructive Assay Waste Characterization Conference, Salt Lake City, UT, 11/17/1998--11/19/1998

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  • Report No.: LA-UR-98-4728
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 762861
  • Archival Resource Key: ark:/67531/metadc715366

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  • November 17, 1998

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  • Sept. 29, 2015, 5:31 a.m.

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  • April 21, 2016, 6:40 p.m.

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Estep, R.J.; Melton, S. & Miko, D. Methods of Reducing Bias in Combined Thermal/Epithermal Neutron (CTEN) Assays of Heterogeneous Waste, article, November 17, 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc715366/: accessed November 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.