Validation of a cross-section interface for PARCS
Bibliographic record
Abstract
This paper deals with the validation of a cross-section interface for the PARCS code. Such an interface, of which the development is reported in [C. Demazière, Development of a cross-section interface for PARCS, Proc. Int. Topl. Mtg. Advances in Nuclear Analysis and Simulation (PHYSOR2006), Vancouver, British Columbia, Canada, September 10-14, 2004 (2004)], allows providing realistic sets of material constants to PARCS, so that the full dependence of these data on history variables, instantaneous variables, and exposure can be accounted for. In order to check the proper implementation of this interface, the PARCS code was benchmarked against actual plant data (relative power distribution throughout the core and criticality condition). For that purpose, the Swedish Ringhals-3 Pressurized Water Reactor was considered. Different fuel cycles and within each cycle different core exposures were investigated. The cross-section data for each fuel/reflector assembly constituting the considered cores were created accordingly. The spatial distributions of the instantaneous conditions, of the history effects, as well as of the burnup, were taken from the results of SIMULATE-3 calculations. It was found that PARCS was able to reproduce the relative distribution of the power within the core. Both the measured axial and radial power profiles were correctly calculated by PARCS. On the average, the deviation between the calculated and measured power distributions is within acceptable limits. Concerning the determination of the core criticality, the deviation of the effective multiplication factor from unity is typically within ±200 pcm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".