ESTIMATION OF THE SCATTERING PHASE FUNCTION OF AEROSOL PARTICLES BASED ON MOBILITY SIZE DISTRIBUTION AND SINGLE SCATTERING ALBEDO OR ABSORPTION COEFFICIENT
Bibliographic record
Abstract
Accurate measurements of absorption and scattering coefficients of atmospheric aerosols and combustion generated particulates are essential to assess their climate impact. Measurements of total scattering coefficient using an integrating nephelometer unavoidably suffer the so-called scattering truncation. Correction for scattering truncation is necessary to improve the measurement accuracy of scattering coefficient and requires the knowledge of scattering phase function. A model is proposed in this work to estimate the imaginary part of refractive index and scattering phase function of atmospheric aerosol and freshly emitted soot. The former is based on the measured mobility size distribution and single scattering albedo and the latter is based on the measured mobility size distribution, single scattering albedo, and absorption coefficient. The main assumption made in the model is that the real part of refractive index of both atmospheric aerosol and soot is known. Application of the model to both atmospheric aerosol and soot is demonstrated.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".