Hi guys,
When processing multi-group cross sections, the flux of different energy groups produces different deviations, which leads to a large deviation of the partial group constant. As follow:
Variance reducing techniques may be a solution to this problem. The present openmc include two main variance reduction technologies: Survival Biasing and Weight Windows. However, the demonstrative cases so far are fixed source problems, and I wonder if such techniques are applicable to eigenvalue problems.
Thank you in advance,
fyh