Evaluation of a neutron-based active interrogation system for detection of smuggled fissionable material in packages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Active interrogation techniques to detect and characterize special nuclear materials (SNMs) show much promise. Depending on the targeted application scenario, the techniques employ a variety of detection concepts. Neutrons or high-energy bremsstrahlung photons can be used as interrogation sources, detecting either fission gamma rays or neutrons emitted by the SNM. At Canadian Nuclear Laboratories, an active interrogation system is under development for detecting SNM smuggled in shielded packages. The system uses a deuterium – deuterium (D – D) neutron generator as the interrogation source and detects delayed neutrons using arrays of He-3 detectors. The design of the detection system was optimized using Monte Carlo simulations, and the constructed system was tested with various nuclear materials under different measurement conditions. Within a few minutes, the system is capable of detecting U-235 on the level of grams, with the possibility to distinguish between enriched and depleted uranium.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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