Analysing the statistics of group constants generated by serpent 2 monte carlo code

Toni Kaltiaisenaho, Jaakko Leppänen

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

6 Citations (Scopus)

Abstract

An important topic in Monte Carlo neutron transport calculations is to verify that the statistics of the calculated estimates are correct. Undersampling, non-converged fission source distribution and inter-cycle correlations may result in inaccurate results. In this paper, we study the effect of the number of neutron histories on the distributions of homogenized group constants and assembly discontinuity factors generated using Serpent 2 Monte Carlo code. We apply two normality tests and a so-called "drift-in-mean" test to the batch-wise distributions of selected parameters generated for two assembly types taken from the MIT BEAVRS benchmark. The results imply that in the tested cases the batch-wise estimates of the studied group constants can be regarded as normally distributed. We also show that undersampling is an issue with the calculated assembly discontinuity factors when the number of neutron histories is small.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Physics of Reactors, PHYSOR 2014
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
Event2014 International Conference on Physics of Reactors, PHYSOR 2014 - Kyoto, Japan
Duration: 28 Sep 20143 Oct 2014

Conference

Conference2014 International Conference on Physics of Reactors, PHYSOR 2014
Country/TerritoryJapan
CityKyoto
Period28/09/143/10/14

Keywords

  • Group constants
  • Monte carlo
  • Serpent 2
  • Statistical tests

Fingerprint

Dive into the research topics of 'Analysing the statistics of group constants generated by serpent 2 monte carlo code'. Together they form a unique fingerprint.

Cite this