SENSITIVITY ANALYSIS OF ZED-2 EXPERIMENTS USING (Pu,Th)O2 FUEL BUNDLES TO ASSESS THEIR APPLICABILITY TO THE SCWR CONCEPTUAL DESIGN
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Bibliographic record
Abstract
The sensitivity of criticality to nuclear data has been investigated using 39 (Pu,Th)O2 test fuel experiments that were completed in the ZED-2 reactor. Simulations were performed, for all experiments, using the multi-group Monte Carlo neutron transport code KENO V.a. The forward and adjoint fluxes were calculated to determine the sensitivity to all nuclides, reactions, and energy groups in simulations of the 39 experiments. The sensitivities of the experiments were investigated to establish if the set of experiments was suitable for a nuclear data adjustment and simulation bias determination of the Canadian supercritical water-cooled reactor. It was found that a number of important sensitivities, namely those to 239Pu, 232Th, and 2H, were adequately covered by the experiments with G values of 0.67, 0.67, and 0.73, respectively, generated by TSUNAMI, a component of the SCALE code package. Seventeen of the 39 experiments had 0.71 > ck > 0.6, where the 3 largest ck values were found to be 0.71, 0.66, and 0.6...
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it