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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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: Los Alamos National Laboratory (Researcher)
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.
Subjects:

MARC

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500 |a Bolding, Simon R. [Los Alamos National Laboratory] 
520 3 |a 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. 
536 |b AC52-06NA25396. 
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650 7 |a Multiplicity.  |2 local. 
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650 7 |a Nuclear Physics & Radiation Physics(73).  |2 edbsc. 
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