Recent results from the standoff detection of radiological materials by passive FTIR radiometry
Bibliographic record
Abstract
Over the past year we have initiated a study into the passive standoff detection of radiological materials by Fourier-transform infrared (FTIR) radiometry. The preliminary work has shown that a number of radiological materials have an infrared signature in the 8-14 micron thermal infrared region. As well, through a series of simulations using the MODTRAN4 atmospheric transmission model, we have shown that these materials may potentially be detected at standoff distances of several kilometres. In this paper we present some results of our current work that focus on recent new measurements of spectral signatures, including the uranium oxides UO<sub>2</sub> and UO<sub>3</sub>. Preliminary results from a measurement campaign held at Defence Research and Development Canada-Valcartier this year are also presented which address the passive detection of radiological materials in the field at standoff distances of 10-60 m. These results are analysed in view of determining the potential for measuring nuclear products with a passive standoff FTIR technique.
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How this classification was reachedexpand
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".