Using MCNPX for space applications

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The Los Alamos National Laboratory Monte Carlo N-Particle, eXtended-energy radiation transport code MCNPX is rapidly becoming an international standard for a wide spectrum of high-energy radiation transport applications. One such application includes the study of gamma rays produced by cosmic-ray interactions within a planetary surface. Such studies can be used to determine surface elemental composition. This paper presents various MCNPX enhancements that make these gamma ray spectroscopy (GRS) simulations possible, gives elemental spectra results for a specific lunar material, provides a comparison between various high-energy physics models, and shows results of an elemental least squares analysis using Lunar Prospector measurements. ... continued below

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8 p.

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McKinney, G. W. (Gregg W.); Hendricks, J. S. (John S.); Waters, L. S. (Laurie S.) & Prettyman, T. H. (Thomas H.) January 1, 2002.

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The Los Alamos National Laboratory Monte Carlo N-Particle, eXtended-energy radiation transport code MCNPX is rapidly becoming an international standard for a wide spectrum of high-energy radiation transport applications. One such application includes the study of gamma rays produced by cosmic-ray interactions within a planetary surface. Such studies can be used to determine surface elemental composition. This paper presents various MCNPX enhancements that make these gamma ray spectroscopy (GRS) simulations possible, gives elemental spectra results for a specific lunar material, provides a comparison between various high-energy physics models, and shows results of an elemental least squares analysis using Lunar Prospector measurements. The analysis documented here demonstrates the usefulness of MCNPX in planetary gamma ray spectroscopy. Furthermore, new MCNPX features developed over the course of this analysis will prove extremely useful for other applications as well. Comparisons of MCNPX results to lunar GRS measurements are better than expected and have lead to the identification of spectral features previously unknown. Through a library least squares analysis, these simulation spectra have resulted in detailed maps of lunar composition.

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8 p.

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  • Submitted to: 12th Biennial RPSD Topical Meeting, March 2002, Santa Fe, NM

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  • Report No.: LA-UR-02-0740
  • Report No.: LA-UR-02-740
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 976077
  • Archival Resource Key: ark:/67531/metadc929656

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Office of Scientific & Technical Information Technical Reports

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

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  • January 1, 2002

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 5:22 p.m.

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McKinney, G. W. (Gregg W.); Hendricks, J. S. (John S.); Waters, L. S. (Laurie S.) & Prettyman, T. H. (Thomas H.). Using MCNPX for space applications, article, January 1, 2002; United States. (digital.library.unt.edu/ark:/67531/metadc929656/: accessed July 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.