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Our search_for_keff Python function currently uses optimization functions from SciPy that do not take into account the uncertainty in keff estimates. A few papers in the literature have proposed methods for doing a criticality search while accounting for an uncertain estimate in keff. A few references:
- A keff search capability in MC21
- Movable geometry and eigenvalue search capability in the MC21 Monte Carlo code
There are also a few more sophisticated methods, but these may not be as generalizable:
- Perturbation based Monte Carlo criticality search in density, enrichment and concentration
- Development of the universe based geometry criticality search capability in RMC and analysis of NHR200-II reactor
There are likely other methods from the larger field of stochastic approximation that may be relevant.
drewejohnson, gridley and cn-skywalker
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