In Situ Measurement of UV Fluence Rate Distribution by Use of a Micro Fluorescent Silica Detector
Bibliographic record
Abstract
The fluence rate (FR) distribution in an ultraviolet (UV) reactor was determined experimentally in situ by use of a novel 360° micro fluorescent silica detector (MFSD). The UV response of the MFSD was systematically characterized, and the results indicated that this detector responded only to UV in the range from 210 to 280 nm. The nonlinearity was found to be less than 1% as the FR varied from 0.083 to 2110 μW/cm2. The luminescent signal increased by 0.11% for every degree increase in temperature in the studied range of 0-55 °C. FR distribution tests were performed in different media (air or water) with the water transmittance at either 95% or 85% determined in a 1-cm path length. The FR distribution of the near-lamp region (e.g., radius<50 mm) was well determined with the nearest distance to the sleeve being less than 3 mm. Comparisons were made between the experimental data and the calculations by use of the UVCalc model. This work demonstrates that the MFSD is a novel technique that can provide in situ and real-time measurements of the FR distribution in a UV reactor.
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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 | 0.000 | 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) | 0.001 | 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 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".