A weighted adjoint-source for weight-window generation by means of a linear tally combination

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A new importance estimation technique has been developed that allows weight-window optimization for a linear combination of tallies. This technique has been implemented in a local version of MCNP and effectively weights the adjoint source term for each tally in the combination. Optimizing weight window parameters for the linear tally combination allows the user to optimize weight windows for multiple regions at once. In this work, we present our results of solutions to an analytic three-tally-region test problem and a flux calculation on a 100,000 voxel oil-well logging tool problem.

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Sood, Avneet; Booth, Thomas E & Solomon, Clell J January 1, 2009.

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A new importance estimation technique has been developed that allows weight-window optimization for a linear combination of tallies. This technique has been implemented in a local version of MCNP and effectively weights the adjoint source term for each tally in the combination. Optimizing weight window parameters for the linear tally combination allows the user to optimize weight windows for multiple regions at once. In this work, we present our results of solutions to an analytic three-tally-region test problem and a flux calculation on a 100,000 voxel oil-well logging tool problem.

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  • 2009 International Conference on Advances in Mathematics, Computational Methods, and Reactor Physics ; May 3, 2009 ; Saratogs Springs, NY

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  • Report No.: LA-UR-09-01185
  • Report No.: LA-UR-09-1185
  • Grant Number: AC52-06NA25396
  • Office of Scientific & Technical Information Report Number: 956563
  • Archival Resource Key: ark:/67531/metadc932356

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  • January 1, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 6:17 p.m.

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Sood, Avneet; Booth, Thomas E & Solomon, Clell J. A weighted adjoint-source for weight-window generation by means of a linear tally combination, article, January 1, 2009; [New Mexico]. (digital.library.unt.edu/ark:/67531/metadc932356/: accessed April 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.