Fractal Dimension Analysis of Time-Resolved Diffusely Scattered Light from Turbid Samples
Bibliographic record
Abstract
To improve quantification of optical properties in highly scattering and absorbing samples, time-correlated single photon counting measurements were analyzed using quantities related to the correlation dimension. Photon time-of-flight (TOF) distributions were collected in reflection and transmission optical configurations from samples made of cream and water-soluble dye (0 < mu(a) < 0.05 mm(-1); 100 < mu(s) < 250 mm(-1)). It was found that absorption and scattering properties of samples could be accurately quantified from information used to determine the correlation dimension. Scattering coefficients were estimated with less than 4% error for both optical configurations. Absorption estimates were made with CVs of 7.5 and 9.6% for reflection and transmission, respectively. Overall, fractal dimension analysis of TOF distributions provides a simple method of determining the optical properties of a sample.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".