Measurement of coherent to Compton scattering differential cross-section ratios of cadmium at different momentum transfer factors
Bibliographic record
Abstract
The coherent to Compton scattering ratio is a useful technique because it is independent of the density of the material and the material is defined only by the atomic number. Also, this ratio is used where changes in the atomic number are important and changes in the attenuation coefficient are too small to detect. In this study, coherent to Compton scattering ratios of cadmium have been calculated at different scattering angles (90°, 95°, 100°, 105°, 110°, 115°, 120°, 125°, and 130°). A high purity germanium detector was used. The coherent to Compton scattering differential cross-section ratios were plotted as a function of the scattering angles and constituted a best fit curve. It was observed that the coherent to Compton differential cross-section ratios decrease with an increasing scattering angle. The experimental results agree well with the results of the non-relativistic and relativistic form factor method.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".