First Determination of the 8Li Valence Neutron Asymptotic Normalization Coefficient Using the 7Li(8Li,7Li)8Li Reaction
Bibliographic record
Abstract
Solar neutrino experiments have often been plagued with large uncertainties. With the recent results from the Borexino Collaboration, for the first time the total uncertainty in the 7Be solar neutrino flux measurement is smaller than the uncertainty of standard solar model (SSM) predictions. Improvement in neutrino experiments must be followed by refinements to the SSM; to do so requires reduced uncertainties on the parameters used in SSM calculations. One such value is the astrophysical S-factor describing the 7Be(p,gamma)8B reaction, S_{17}(0). We report here a determination of the asymptotic normalization coefficient (ANC) of the valence neutron in 8Li from a measurement of the angular distribution of the single neutron transfer between 8Li and 7Li via the 7Li(8Li,7Li)8Li reaction at 11 MeV. Using isospin symmetry the 8B ANC has also been calculated and used to infer a value for S_{17}(0) of 20.2 +/- 4.4 eV b.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".