Development of a statistical sampling method for uncertainty analysis with scale

M. Williams, D. Wiarda, H. Smith, M. A. Jessee, B. T. Rearden, W. Zwermann, M. Klein, A. Pautz, B. Krzykacz-Hausmann, L. Gallner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

A new statistical sampling sequence called Sampler has been developed for the SCALE code system. Random values for the input multigroup cross sections are determined by using the XSUSA program to sample uncertainty data provided in the SCALE covariance library. Using these samples, Sampler computes perturbed self-shielded cross sections and propagates the perturbed nuclear data through any specified SCALE analysis sequence, including those for criticality safety, lattice physics with depletion, and shielding calculations. Statistical analysis of the output distributions provides uncertainties and correlations in the desired responses.

Original languageEnglish
Title of host publicationInternational Conference on the Physics of Reactors 2012, PHYSOR 2012
Subtitle of host publicationAdvances in Reactor Physics
Pages2804-2815
Number of pages12
StatePublished - 2012
EventInternational Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012 - Knoxville, TN, United States
Duration: Apr 15 2012Apr 20 2012

Publication series

NameInternational Conference on the Physics of Reactors 2012, PHYSOR 2012: Advances in Reactor Physics
Volume4

Conference

ConferenceInternational Conference on the Physics of Reactors 2012: Advances in Reactor Physics, PHYSOR 2012
Country/TerritoryUnited States
CityKnoxville, TN
Period04/15/1204/20/12

Keywords

  • SCALE
  • Statistical sampling
  • Uncertainty analysis
  • XSUSA

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