Evaluation of Mirage Effect Spectrometry for Optical Absorption Depth Profiling of Photodegradation in Thin Poly(Vinylchloride) Films
Bibliographic record
Abstract
Mirage effect (photothermal deflection) spectrometry was examined as a tool for the quantitative depth profiling of the optical absorption coefficient in thin films of poly(vinylchloride) (PVC) photolyzed under ultraviolet (UV) light. Profiles of the photoproduct of dehydrochlorination reactions were induced by controlled UV photolysis in test films on the scale of 10–100 μm, with total absorbance in the range 0.3–0.5 a.u. at 465 nm. Photolyzed test samples were prepared as laminate assemblies containing 10–25 individual layers fused together under pressure, according to a methodology we previously developed. These assemblies were mechanically separated into individual layers after photolysis and spectrophotometrically analyzed. Photothermal depth reconstructions of the optical absorption coefficient were made in these assemblies via inverse problem theory applied to the experimental photothermal deflection response, with the destructive layer-by-layer spectrophotometric analysis performed in parallel as a reference measurement. Optical absorption coefficient profiles recovered by the mirage effect were in agreement with the reference spectrophotometric data to within a root-mean-square error of better than 15% of full scale, with a nearly quantitative recovery of the peak absorption, depth, and initial slope of the film's absorption profile.
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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 | 0.001 | 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 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".