Post-processing of Monte Carlo simulations for rapid BNCT source optimization studies

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A great advantage of some neutron sources, such as accelerator-produced sources, is that they can be tuned to produce different spectra. Unfortunately, optimization studies are often time-consuming and difficult, as they require a lengthy Monte Carlo simulation for each source. When multiple characteristics, such as energy, angle, and spatial distribution of a neutron beam are allowed to vary, an overwhelming number of simulations may be required. Many optimization studies, therefore, suffer from a small number of datapoints, restrictive treatment conditions, or poor statistics. By scoring pertinent information from every particle tally in a Monte Carlo simulation, then applying appropriate source ... continued below

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2 pages

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Bleuel, D.L.; Chu, W.T.; Donahue, R.J.; Ludewigt, B.A. & Vujic, J. October 1, 2000.

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A great advantage of some neutron sources, such as accelerator-produced sources, is that they can be tuned to produce different spectra. Unfortunately, optimization studies are often time-consuming and difficult, as they require a lengthy Monte Carlo simulation for each source. When multiple characteristics, such as energy, angle, and spatial distribution of a neutron beam are allowed to vary, an overwhelming number of simulations may be required. Many optimization studies, therefore, suffer from a small number of datapoints, restrictive treatment conditions, or poor statistics. By scoring pertinent information from every particle tally in a Monte Carlo simulation, then applying appropriate source variable weight factors in a post-processing algorithm, a single simulation can be used to model any number of multiple sources. Through this method, the response to a new source can be modeled in minutes or seconds, rather than hours or days, allowing for the analysis of truly variable source conditions of much greater resolution than is normally possible when a new simulation must be run for each datapoint in a study. This method has been benchmarked and used to recreate optimization studies in a small fraction of the time spent in the original studies.

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2 pages

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INIS; OSTI as DE00782538

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  • 9th Int Symposium of Neutron Capture Therapy for Cancer, Osaka (JP), 10/02/2000--10/06/2000

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  • Report No.: LBNL--47734
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 782538
  • Archival Resource Key: ark:/67531/metadc717667

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • October 1, 2000

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  • Sept. 29, 2015, 5:31 a.m.

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  • April 4, 2016, 4:26 p.m.

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Bleuel, D.L.; Chu, W.T.; Donahue, R.J.; Ludewigt, B.A. & Vujic, J. Post-processing of Monte Carlo simulations for rapid BNCT source optimization studies, article, October 1, 2000; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc717667/: accessed November 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.