Simulations of Multiplicity Distributions and Perturbations to Nubar Data [electronic resource]
The objectives of this project are: (1) Use covariance data to generate random samples of energy dependent nubar; (2) Input the new samples of nubar into MCNP; (3) Run simulations and compare to experimental data; and (4) Repeat until a set of nubar that matches multiplicity distribution without sig...
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Online Access (via OSTI) |
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| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Los Alamos, N.M. : Oak Ridge, Tenn. :
Los Alamos National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2013.
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| Subjects: |
| Summary: | The objectives of this project are: (1) Use covariance data to generate random samples of energy dependent nubar; (2) Input the new samples of nubar into MCNP; (3) Run simulations and compare to experimental data; and (4) Repeat until a set of nubar that matches multiplicity distribution without significantly altering k{sub eff} is found. Some conclusions are: (1) Demonstrated that by adjusting nubar within covariance data can recreate multiplicity distributions correctly; (2) k{sub eff} was not changed that significantly, and more trials will likely generate a better result; (3) Can adjust FOM to produce a set of data that does what is desired; and (4) The covariances are tiny relative to the variances. |
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| Item Description: | Published through SciTech Connect. 01/14/2013. "la-ur-12-23825" Bolding, Simon R. [Los Alamos National Laboratory] |