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https://doi.org/10.1007/bfb004...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
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MCNP variance reduction overview

Authors: Hendricks, J. S.; Booth, T. E.;

MCNP variance reduction overview

Abstract

The MCNP code is rich in variance reduction features. Standard variance reduction methods found in most Monte Carlo codes are available as well as a number of methods unique to MCNP. We discuss the variance reduction features presently in MCNP as well as new ones under study for possible inclusion in future versions of the code.

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United States
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Keywords

Computer Calculations, General Physics, Neutron Importance Function, Functions 657006* -- Theoretical Physics-- Statistical Physics & Thermodynamics-- (-1987), Weighting Functions, 71 Classical And Quantum Mechanics, Sampling, Monte Carlo Method

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 1%
Top 10%