Passive remote monitoring of chemical vapors by differential Fourier-transform infrared radiometry: results at a range of 15 km
Bibliographic record
Abstract
A method for the passive remote monitoring of chemical vapors by differential Fourier-transform infrared radiometry is presented to determine the characteristics of a chemical vapor plume from a stack located at a distance of more than 1 km from the sensor. This measurement technique is based on the use of a double-beam Fourier-transform infrared spectrometer that is optimized for optical subtraction. A description of the interferometer (compact atmospheric sounding interferometer) is given along with the algorithm (GASEM) that has been developed for the on-line detection, identification, and quantification of chemical vapor plumes. The detection method is described with a particular emphasis placed on its monitoring capabilities. The analysis focuses on the experimental results obtained at a recent open-air experiment for vapor plume mixtures of dimethyl methyl phosphonate and SF6 probed at a distance of 1.5 km. The accuracy of a simplified plume radiance model implemented in the detection algorithm is specifically addressed. The measurement technique has been successfully used to detect and identify low, medium, and high concentrations of vapor mixtures but appears to have limited quantification capabilities in its present form.
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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 | 0.000 | 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 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".