z-logo
open-access-imgOpen Access
An assessment of the MCNP4C weight window
Author(s) -
Christopher N Culbertson,
J.S. Hendricks
Publication year - 1999
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/752368
Subject(s) - generator (circuit theory) , window (computing) , suite , variance (accounting) , variance reduction , set (abstract data type) , computer science , reduction (mathematics) , grid , mathematics , algorithm , statistics , power (physics) , geometry , programming language , physics , accounting , archaeology , quantum mechanics , monte carlo method , business , history , operating system
A new, enhanced weight window generator suite has been developed for MCNP version 4C. The new generator correctly estimates importances in either a user-specified, geometry-independent, orthogonal grid or in MCNP geometric cells. The geometry-independent option alleviates the need to subdivide the MCNP cell geometry for variance reduction purposes. In addition, the new suite corrects several pathologies in the existing MCNP weight window generator. The new generator is applied in a set of five variance reduction problems. The improved generator is compared with the weight window generator applied in MCNP4B. The benefits of the new methodology are highlighted, along with a description of its limitations. The authors also provide recommendations for utilization of the weight window generator

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom