A Novel Method of Analyzing a Reaction Using the Data from Particle and Gamma-ray Detectors
Bibliographic record
Abstract
The radioactive isotope beam (RIB) of 25Na at 5MeV/u energy in maximum 3x107 pps intensity was fired on a deuterated polyethylene (CD2) to investigate mainly (d,p gamma) reaction. However, there were other reaction possibilities, which were arisen from the same collision, to be eliminated wisely. As to a particle detector and a gamma-ray detector, highly selective double-sided silicon strip detectors (DSSSD) and high purity germanium detectors (HPGe) were employed to make delicate selections of distinctive energies of experimentally populated excited states of 26Na. The motivation of this work was to show how to combine the information coming out of two different types of detectors in terms of energies to reach out a new unobserved data. This study was a part of the experiment with Silicon Highly-segmented Array for Reactions of Coulex (SHARC) and TRIUMF-ISAC Gamma-ray Escape-Suppressed Spectrometry (TIGRESS) in Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".